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Learning Styles and Learning Spaces: Enhancing Experiential Learning in Higher Education ALICE Y. KOLB Experience-Based Learning Systems DAVID A. KOLB Case Western Reserve University Drawing on the foundational theories of John Dewey and Kurt Lewin, we examine recent developments in theory and research on experiential learning and explore how this work can enhance experiential learning in higher education. We introduce the concept of learning space as a framework for understanding the interface between student learning styles and the institutional learning environment. We illustrate the use of the learning space framework in three case studies of longitudinal institutional development. Finally, we present principles for the enhancement of experiential learning in higher education and suggest how experiential learning can be applied throughout the educational environment by institutional development programs, including longitudinal outcome assessment, curriculum development, student development, and faculty development. ........................................................................................................................................................................ “(There is a) need of forming a theory of ex- perience in order that education may be in- telligently conducted upon the basis of experience.”—John Dewey “There is nothing so practical as a good theory.” —Kurt Lewin Recent efforts to improve higher education, includ- ing reports from the National Research Council (Bransford, Brown, & Cocking 2000), the American Psychological Association (1997), and a number of other scholars (Baxter-Magolda, 1999; Boyatzis, Co- wen, & Kolb 1995; Keeton, Sheckley, & Griggs 2002; King, 2003; Light, 2001; Mentkowski and Associates, 2000; Zull 2002) have focused on improving the learning process in education through the applica- tion of research from what has been called “the new science of learning” (Branford, Brown, & Cock- ing, 2000). One stream of this research is focused on the concept of experiential learning. Experien- tial learning is often misunderstood as a set of tools and techniques to provide learners with ex- periences from which they can learn. Others have used the term to describe learning that is a mind- less recording of experience. Yet experiential learning is above all a philosophy of education based on what Dewey (1938) called a “theory of experience.” He argued that while traditional ed- ucation had little need for theory since practice was determined by tradition, the new experiential approach to education needed a sound theory of experience to guide its conduct. In this essay we examine the theory of experiential learning (Kolb, 1984) and related research to explore how this knowledge can be used to enhance learning in higher education. We begin with a brief summary of experiential learning theory (ELT) and an overview of current research based on the theory. This is followed by the introduction of two new developments in ELT, a refinement in the assessment of experiential learn- ing styles using the Learning Style Inventory (LSI) and the introduction of the concept of learning space as a framework for understanding the inter- face between student learning styles and the edu- cational learning environment based on Lewin’s concept of life space. Use of the learning space framework is illustrated in case studies of longitu- We thank James Bailey, Sandy Bell, Richard Boyatzis, David Justice, D. Christopher Kayes, Tony Lingham, Charalampos Mainemelis, Verena Murphy, Ronald Sims, Barry Sheckley, Yo- shi Yamazaki, and James Zull for their helpful feedback on this manuscript. Academy of Management Learning & Education, 2005, Vol. 4, No. 2, 193–212. ........................................................................................................................................................................ 193

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Page 1: Academy of Management Learning & Education Learning Styles ...€¦ · Kurt Lewin, Jean Piaget, William James, Carl Jung, Paulo Freire, Carl Rogers and others—to develop a holistic

Learning Styles and LearningSpaces: Enhancing Experiential

Learning in Higher EducationALICE Y. KOLB

Experience-Based Learning Systems

DAVID A. KOLBCase Western Reserve University

Drawing on the foundational theories of John Dewey and Kurt Lewin, we examine recentdevelopments in theory and research on experiential learning and explore how this workcan enhance experiential learning in higher education. We introduce the concept oflearning space as a framework for understanding the interface between student learningstyles and the institutional learning environment. We illustrate the use of the learningspace framework in three case studies of longitudinal institutional development. Finally,we present principles for the enhancement of experiential learning in higher educationand suggest how experiential learning can be applied throughout the educationalenvironment by institutional development programs, including longitudinal outcomeassessment, curriculum development, student development, and faculty development.

........................................................................................................................................................................

“(There is a) need of forming a theory of ex-perience in order that education may be in-

telligently conducted upon the basis ofexperience.”—John Dewey

“There is nothing so practical as a good theory.”—Kurt Lewin

Recent efforts to improve higher education, includ-ing reports from the National Research Council(Bransford, Brown, & Cocking 2000), the AmericanPsychological Association (1997), and a number ofother scholars (Baxter-Magolda, 1999; Boyatzis, Co-wen, & Kolb 1995; Keeton, Sheckley, & Griggs 2002;King, 2003; Light, 2001; Mentkowski and Associates,2000; Zull 2002) have focused on improving thelearning process in education through the applica-tion of research from what has been called “thenew science of learning” (Branford, Brown, & Cock-ing, 2000). One stream of this research is focusedon the concept of experiential learning. Experien-tial learning is often misunderstood as a set of

tools and techniques to provide learners with ex-periences from which they can learn. Others haveused the term to describe learning that is a mind-less recording of experience. Yet experientiallearning is above all a philosophy of educationbased on what Dewey (1938) called a “theory ofexperience.” He argued that while traditional ed-ucation had little need for theory since practicewas determined by tradition, the new experientialapproach to education needed a sound theory ofexperience to guide its conduct. In this essay weexamine the theory of experiential learning (Kolb,1984) and related research to explore how thisknowledge can be used to enhance learning inhigher education.

We begin with a brief summary of experientiallearning theory (ELT) and an overview of currentresearch based on the theory. This is followed bythe introduction of two new developments in ELT, arefinement in the assessment of experiential learn-ing styles using the Learning Style Inventory (LSI)and the introduction of the concept of learningspace as a framework for understanding the inter-face between student learning styles and the edu-cational learning environment based on Lewin’sconcept of life space. Use of the learning spaceframework is illustrated in case studies of longitu-

We thank James Bailey, Sandy Bell, Richard Boyatzis, DavidJustice, D. Christopher Kayes, Tony Lingham, CharalamposMainemelis, Verena Murphy, Ronald Sims, Barry Sheckley, Yo-shi Yamazaki, and James Zull for their helpful feedback on thismanuscript.

� Academy of Management Learning & Education, 2005, Vol. 4, No. 2, 193–212.

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dinal institutional development in three diverseprograms in higher education, the Cleveland Insti-tute of Art, the Case Western Reserve Universityundergraduate program, and the Case Weather-head School of Management MBA program. Fi-nally, we present principles for the enhancementof experiential learning in higher education andsuggest how experiential learning can be appliedthroughout the educational environment by insti-tutional development programs that include longi-tudinal outcome assessment, curriculum devel-opment, student development, and facultydevelopment.

EXPERIENTIAL LEARNING THEORY

Experiential learning theory draws on the work ofprominent 20th century scholars who gave experi-ence a central role in their theories of humanlearning and development—notably John Dewey,Kurt Lewin, Jean Piaget, William James, Carl Jung,Paulo Freire, Carl Rogers and others—to develop aholistic model of the experiential learning processand a multilinear model of adult development(Kolb, 1984). The theory is built on six propositionsthat are shared by these scholars.

1. Learning is best conceived as a process, not interms of outcomes. To improve learning in highereducation, the primary focus should be on engag-ing students in a process that best enhances theirlearning—a process that includes feedback on theeffectiveness of their learning efforts. As Deweynotes, “[E]ducation must be conceived as a con-tinuing reconstruction of experience: . . . the pro-cess and goal of education are one and the samething” (Dewey 1897: 79).

2. All learning is relearning. Learning is bestfacilitated by a process that draws out the stu-dents’ beliefs and ideas about a topic so that theycan be examined, tested, and integrated with new,more refined ideas.

3. Learning requires the resolution of conflictsbetween dialectically opposed modes of adapta-tion to the world. Conflict, differences, and dis-agreement are what drive the learning process. Inthe process of learning one is called upon to moveback and forth between opposing modes of reflec-tion and action and feeling and thinking.

4. Learning is a holistic process of adaptation tothe world. Not just the result of cognition, learninginvolves the integrated functioning of the total per-son— thinking, feeling, perceiving, and behaving.

5. Learning results from synergetic transactionsbetween the person and the environment. In Pi-aget’s terms, learning occurs through equilibrationof the dialectic processes of assimilating new ex-

periences into existing concepts and accommodat-ing existing concepts to new experience.

6. Learning is the process of creating knowledge.ELT proposes a constructivist theory of learningwhereby social knowledge is created and re-created in the personal knowledge of the learner.This stands in contrast to the “transmission” modelon which much current educational practice isbased, where preexisting fixed ideas are transmit-ted to the learner.

ELT defines learning as “the process wherebyknowledge is created through the transformationof experience. Knowledge results from the combi-nation of grasping and transforming experience”(Kolb, 1984: 41). The ELT model portrays two dialec-tically related modes of grasping experience—Concrete Experience (CE) and Abstract Conceptu-alization (AC)—and two dialectically relatedmodes of transforming experience—Reflective Ob-servation (RO) and Active Experimentation (AE).Experiential learning is a process of constructingknowledge that involves a creative tension amongthe four learning modes that is responsive to con-textual demands. This process is portrayed as anidealized learning cycle or spiral where thelearner “touches all the bases”—experiencing, re-flecting, thinking, and acting—in a recursive pro-cess that is responsive to the learning situationand what is being learned. Immediate or concreteexperiences are the basis for observations and re-flections. These reflections are assimilated anddistilled into abstract concepts from which newimplications for action can be drawn. These impli-cations can be actively tested and serve as guidesin creating new experiences. In The Art of Chang-ing the Brain: Enriching Teaching by Exploring theBiology of Learning, James Zull, a biologist andfounding director of CWRU’s University Center forInnovation in Teaching and Education (UCITE),sees a link between ELT and neuroscience re-search, suggesting that this process of experientiallearning is related to the process of brain function-ing (as shown in Fig. 1).

Put into words, the figure illustrates that con-crete experiences come through the sensorycortex, reflective observation involves the in-tegrative cortex at the back, creating new ab-stract concepts occurs in the frontal integra-tive cortex, and active testing involves themotor brain. In other words, the learning cyclearises from the structure of the brain (Zull2002: 18–19).

The concept of learning style describes individ-ual differences in learning based on the learner’s

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preference for employing different phases of thelearning cycle. Because of our hereditary equip-ment, our particular life experiences, and the de-mands of our present environment, we develop apreferred way of choosing among the four learningmodes. We resolve the conflict between being con-crete or abstract and between being active or re-flective in patterned, characteristic ways.

ELT as defined by Kolb posits that learning is themajor determinant of human development, andhow individuals learn shapes the course of theirpersonal development. His previous research hasshown that learning styles are influenced by per-sonality type, educational specialization, careerchoice, and current job role and tasks (Kolb, 1984).Yamazaki (2002, 2003) has recently identified cul-tural influences as well. The ELT developmentalmodel (Kolb, 1984) defines three stages: (1) acqui-sition, from birth to adolescence, where basic abil-ities and cognitive structures develop; (2) special-ization, from formal schooling through the earlywork and personal experiences of adulthood,where social, educational, and organizationalsocialization forces shape the development of aparticular, specialized learning style; and (3) inte-gration in midcareer and later life, where non-dominant modes of learning are expressed in workand personal life. Development through thesestages is characterized by increasing complexityand relativism in adapting to the world and byincreased integration of the dialectic conflicts be-tween AC and CE and AE and RO. Development isconceived as multilinear, based on an individual’s

particular learning style and life path—develop-ment of CE increases affective complexity, of ROincreases perceptual complexity, of AC increasessymbolic complexity, and of AE increases behav-ioral complexity.

RESEARCH ON EXPERIENTIAL LEARNINGTHEORY

ELT was developed following Lewin’s plan for thecreation of scientific knowledge by conceptualiz-ing phenomena through formal, explicit, testabletheory. In Lewin’s approach, “before a system canbe fully useful the concepts in it have to be definedin a way that (1) permits the treatment of both thequalitative and quantitative aspects of phenom-ena in a single system, (2) adequately representsthe conditional-genetic (or causal) attributes ofphenomena, (3) facilitates the measurement (or op-erational definition) of these attributes, and (4) al-lows both generalization to universal laws andconcrete treatment of the individual case” (Cart-wright, 1951: ix). A theory developed by this pro-cess can be a powerful instrument for stimulatingand focusing scholarly research conversation.

Since its first statement in 1971 (Kolb, 1971; Kolb,Rubin, & McIntyre, 1971), there have been manystudies using ELT to advance the theory and prac-tice of experiential learning. The July 2005 updateof the Experiential Learning Theory Bibliography(Kolb & Kolb, 2005) includes 1876 entries. BecauseELT is a holistic theory of learning that identifieslearning style differences among different aca-

FIGURE 1The Experiential Learning Cycle and Regions of the Cerebral Cortex. Note. Reprinted with permission

from (Zull 2002).

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demic specialties, it is not surprising to see thatELT research is highly interdisciplinary, address-ing learning and educational issues in manyfields. An analysis of the 1004 entries in the 1999bibliography (Kolb, Boyatzis, & Mainemelis, 2001)shows 207 studies in management, 430 in educa-tion, 104 in information science, 101 in psychology,72 in medicine, 63 in nursing, 22 in accounting and5 in law. About 55% of this research has appearedin refereed journal articles, 20% in doctoral disser-tations, 10% in books and book chapters, and 15%in conference proceedings, research reports, andother venues.

There have been two comprehensive reviews ofthe ELT literature, one qualitative and one quanti-tative. In 1991 Hickcox extensively reviewed thetheoretical origins of ELT and qualitatively ana-lyzed 81 studies that focused on the application ofthe ELT model as well as on the application of theconcept of learning style in accounting and busi-ness education, helping professions, medical pro-fessions, postsecondary education and teacher ed-ucation. She concluded that overall 61.7% of thestudies supported ELT, 16.1% showed mixed sup-port, and 22.2% did not support ELT. In 1994 Iliffconducted a meta-analysis of 101 quantitative LSIstudies culled from 275 dissertations and 624 arti-cles that were qualitative, theoretical, and quanti-tative studies of ELT and the Kolb Learning StyleInventory (LSI; Kolb 1971, 1985, 1999a; see alsoHickox, 1991). Iliff found that 49 studies showedstrong support for the LSI, 40 showed mixed sup-port, and 12 studies showed no support. About halfof the 101 studies reported sufficient data on theLSI scales to compute effect sizes by way of meta-analysis. Most studies reported correlations thatfell in the .2 to .5 range for the LSI scales. In con-clusion Iliff suggested that the magnitude of thesestatistics is not sufficient to meet standards of pre-dictive validity, while noting that the LSI was notintended to be a predictive psychological test likeIQ, GRE, or GMAT. The LSI was originally devel-oped as a self-assessment exercise and a meansfor construct validation of ELT. Judged by the stan-dards of construct validity, ELT has been widelyaccepted as a useful framework for learning cen-tered educational innovation, including instruc-tional design, curriculum development, and life-long learning. Academic field and jobclassification studies viewed as a whole also showa pattern of results consistent with the ELT struc-ture of knowledge theory.

Most of the debate and critique in the ELT/LSIliterature has centered on the psychometric prop-erties of the LSI. Results from this research havebeen of great value in revising the LSI in 1985 and

again in 1999. Recent critique has been more fo-cused on the theory than the instrument examiningthe intellectual origins and underlying assump-tions of ELT from what might be called a criticaltheory perspective, where the theory is seen asindividualistic, cognitivist, and technological (e.g.,Vince, 1998; Holman, Pavlica, & Thorpe, 1997; Hop-kins, 1993). Kayes (2002) has reviewed these andother critics of ELT and offered his own critique ofthe critics. He suggests that critics have over-looked the role of Vygotsky’s social-constructivistlearning theory in the ELT theory of developmentand the role of personal knowledge and socialknowledge in experiential learning. He proposesan extension of ELT based on Lacan’s poststructur-alist analysis that elaborates the fracture betweenpersonal and social knowledge and the role thatlanguage plays in shaping experience.

LEARNING STYLE ASSESSMENT

Much of the research on ELT has focused on theconcept of learning style using the Learning StyleInventory (LSI) to assess individual learning styles(Kolb 1971, 1999a,b; see also Hickox, 1991). Althoughindividuals tested on the LSI show many differentpatterns of scores, previous research with the in-strument has identified four learning styles thatare associated with different approaches to learn-ing: diverging, assimilating, converging, and ac-commodating. The following summary of the fourbasic learning styles is based on both researchand clinical observation of these patterns of LSIscores (Kolb, 1984, 1999a).

An individual with diverging style has CE andRO as dominant learning abilities. People withthis learning style are best at viewing concretesituations from many different points of view. Thestyle is labeled “diverging” because a person withit performs better in situations that call for gener-ation of ideas, such as a “brainstorming” session.People with a diverging learning style have broadcultural interests and like to gather information.They are interested in people, tend to be imagina-tive and emotional, have broad cultural interests,and tend to specialize in the arts. In formal learn-ing situations, people with the diverging style pre-fer to work in groups, to listen with an open mind,and to receive personalized feedback.

An individual with an assimilating style has ACand RO as dominant learning abilities. Peoplewith this learning style are best at understandinga wide range of information and putting it intoconcise, logical form. Individuals with an assimi-lating style are less focused on people and moreinterested in ideas and abstract concepts. Gener-

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ally, people with this style find it more importantthat a theory have logical soundness than practi-cal value. The assimilating learning style is impor-tant for effectiveness in information and sciencecareers. In formal learning situations, people withthis style prefer readings, lectures, exploring ana-lytical models, and having time to think thingsthrough.

An individual with a converging style has ACand AE as dominant learning abilities. People withthis learning style are best at finding practicaluses for ideas and theories. They have the abilityto solve problems and make decisions based onfinding solutions to questions or problems. Individ-uals with a converging learning style prefer todeal with technical tasks and problems rather thanwith social and interpersonal issues. These learn-ing skills are important for effectiveness in spe-cialist and technology careers. In formal learningsituations, people with this style prefer to experi-ment with new ideas, simulations, laboratory as-signments, and practical applications.

An individual with an accommodating style hasCE and AE as dominant learning abilities. Peoplewith this learning style have the ability to learnfrom primarily “hands-on” experience. They enjoycarrying out plans and involving themselves innew and challenging experiences. Their tendencymay be to act on “gut” feelings rather than onlogical analysis. In solving problems, individualswith an accommodating learning style rely moreheavily on people for information than on theirown technical analysis. This learning style is im-portant for effectiveness in action-oriented careerssuch as marketing or sales. In formal learning sit-uations, people with the accommodating learningstyle prefer to work with others to get assignmentsdone, to set goals, to do field work, and to test outdifferent approaches to completing a project.

Recent theoretical and empirical work is show-ing that the original four learning styles—assimi-lating, converging, accommodating, and diverg-ing—can be expanded to show nine distinct styles.David Hunt and his associates (Abby, Hunt, &Weiser, 1985; Hunt 1987) identified four additionallearning styles, which they identified as North-erner, Easterner, Southerner, and Westerner. Thefollowing descriptions of these styles includeHunt’s analysis, which emphasizes the impact ofthe style’s weakest learning mode on the learner’slearning process.

The Northerner emphasizes feeling (CE) whilebalancing acting (AE) and reflecting (RO). Thelearning strengths of this style are a capacity fordeep involvement while being comfortable in theouter world of action and the inner world of reflec-

tion. “This person has difficulty in conceptualizingor making meaning of experience; consequently,the cycle runs from feelings to reflection (whichremains unconsolidated) to action. The conse-quence of this Northerly pattern is that the flow isdiscontinuous and the actions are poorly or-ganized since they are not informed by the foun-dation of AC meaning” (Hunt, 1987: 155).

The Easterner emphasizes reflecting (RO) whilebalancing feeling (CE) and thinking (AC). Thelearning strengths of this style are a capacity fordeep reflection informed by the ability to be bothfeeling oriented and conceptual. “Persons with anEasterly pattern have trouble putting plans intoaction. Consequently, they spend much time bur-ied in thought. Because the action is short cir-cuited, their thoughts are about their feelingsrather than about their direct actions; this imbal-anced cycle lacks the rejuvenation provided byactions” (Hunt, 1987: 155).

The Southerner emphasizes thinking (AC) whilebalancing acting (AE) and reflecting (RO). Thelearning strengths of this style are highly devel-oped conceptual and analytic capabilities that areinformed both by reflection and action. “Personswith a Southerly pattern are not in touch with theirfeelings. They reflect on the mechanics of theiractions without benefit of emotional feedback. Thereflection may lead to reformulation of conceptsbut the revision is mechanical and sterile” (Hunt,1987: 155).

The Westerner emphasizes acting (AE) whilebalancing feeling (CE) and thinking (AC). Thelearning strengths of this style are highly devel-oped action skills that are informed both by con-ceptual analysis and intuitive experience. “In thispattern, the Westerner goes directly from feelingsto conceptualizing without sorting out the concreteexperience. Consequently, the initial conceptualframework is likely to be unclear, with little possi-bility to correct it through reflection” (Hunt, 1987:155).

A “Balancing” learning style has been identifiedby Mainemelis, Boyatzis, and Kolb (2002) that inte-grates AC and CE and AE and RO. In this study weemployed the Learning Style Inventory (Kolb1999a), the Adaptive Style Inventory (ASI, Boyatzis& Kolb 1993), and the Learning Skills Profile (LSP,Boyatzis & Kolb, 1991, 1995, 1997) to test a funda-mental ELT hypothesis: The more balanced peopleare in their learning orientation on the LSI, thegreater will be their adaptive flexibility on the ASI.To assess a balanced LSI profile, we used twoindicators of a balanced learning profile, usingabsolute LSI scores on the Abstract/Concrete andActive/Reflective dimensions. The results sup-

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ported our hypotheses, showing that people withbalanced learning profiles in both dimensions ofthe LSI are more adaptively flexible learners asmeasured by the ASI. The relationship was stron-ger for the profile balanced on the Abstract/Con-crete dimension than the Active/Reflective dimen-sion. Other results showed that individuals withspecialized LSI learning styles have a greater levelof skill development in the commensurate skillquadrant of the LSP. The study also produced someunexpected results. For example, although we pre-dicted that specialized learning styles would showless adaptive flexibility on the ASI, the resultsshowed that this is true for the abstract learningstyles but not for the concrete styles.

The nine learning styles outlined above can bedefined by placing them on the learning style typegrid (Kolb 1999a: 6). Instead of dividing the grid atthe 50th percentiles of the LSI normative distribu-tions for AC–CE and AE–RO, the nine styles aredefined by dividing the two normative distribu-tions into thirds. (On the AE–RO dimension theactive regions are defined by raw scores � 12,while the reflective regions are defined by rawscores � �1. On the AC–CE dimension the con-crete regions are defined by � �1 and the abstractregions by � 12. (See Fig 2.)

This research that increases the “resolution” ofthe learning style type grid from four to nine pixelsmay help to deal with a common misconception ofELT learning styles; that is, the tendency to treatthe four learning styles as four categorical entitiesrather than continuous positions on the dimen-sions of AC–CE and AE–RO. Gould (2003) in his lastbook writes extensively about the bias in sciencethat arises from such dichotomous thinking. Al-though the simple format of the LSI may limit em-pirical identification; theoretically, there are manyidentifiable learning styles along these two di-mensions (not to mention other dimensions identi-fied by other learning style theories). Elsewherewe have attempted to address this bias:

When it is used in the simple, straightfor-ward, and open way intended, the LSI usuallyprovides an interesting self-examination anddiscussion that recognizes the uniqueness,complexity and variability in individual ap-proaches to learning. The danger lies in thereification of learning styles into fixed traits,such that learning styles become stereotypesused to pigeonhole individuals and their be-havior (Kolb, 1981: 290–291).

FIGURE 2The Nine-Region Learning Style Type Grid

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Is learning style a fixed trait or dynamic state?ELT clearly defines learning style as a dynamicstate arising from an individual’s preferential res-olution of the dual dialectics of experiencing/con-ceptualizing and acting/reflecting.

The stability and endurance of these states inindividuals comes not solely from fixed ge-netic qualities or characteristics of human be-ings: nor, for that matter, does it come fromthe stable fixed demands of environmentalcircumstances. Rather, stable and enduringpatterns of human individuality arise fromconsistent patterns of transaction betweenthe individual and his or her environment . . .The way we process the possibilities of eachnew emerging event determines the range ofchoices and decisions we see. The choicesand decisions we make to some extent deter-mine the events we live through, and theseevents influence our future choices. Thus,people create themselves through the choiceof actual occasions they live through (Kolb1984: 63–64).

Nonetheless, in practice and research there is amarked tendency to treat learning style as a fixedpersonality trait (e.g., Garner, 2000). Individualsoften refer to themselves and others as thoughlearning style was a fixed characteristic: “I havetrouble making decisions because I am a di-verger.” “He likes to work alone because he is anassimilator.” To emphasize the dynamic nature oflearning style, the latest version of the LSI haschanged the style names from diverger to diverg-ing, and so on.

LEARNING SPACE

To elaborate further the complex, dynamic natureof learning style and its formation through trans-actions between the person and environment weintroduce the concept of learning space. The con-cept of learning space builds on Kurt Lewin’s fieldtheory and his concept of life space. For Lewin,both person and environment are interdependentvariables, a concept Lewin translated into a math-ematical formula, B � f(p,e) where behavior is afunction of person and environment. As Marrowputs it, “the life space is the total psychologicalenvironment which the person experiences subjec-tively” (1969: 35). Life space includes all facts whichhave existence for the person and excludes thosewhich do not. It embraces needs, goals, uncon-scious influences, memories, beliefs, events of apolitical, economic, and social nature, and any-

thing else that might have direct effect on behav-ior. The various factors in a given life space are tosome degree interdependent, and Lewin stronglymaintains that only the dynamic concepts of ten-sion and force can deal with these sets of interde-pendent facts. This is what led him to define psy-chological needs as tension systems and theirtopological representation as vectors to denote mo-tion. Lewin postulated that the particular organi-zation of a person’s life space was determined by afield of forces—both internal needs and externaldemands—that positioned the individual in a lifespace composed of different regions. Using map-like representation, the life space could be de-picted topologically. Life spaces can vary in anumber of dimensions, including extension, differ-entiation, integration, and level of conflict. Lewinintroduced a number of concepts for analysis of thelife space and a person’s relationship to it that areapplicable to the study of learning spaces, includ-ing position, region, locomotion, equilibrium offorces, positive and negative valence, barriers inthe person and the world, conflict, and goal.

Three other theoretical frameworks inform theELT concept of learning space. Urie Bronfrenbren-ner’s (1977, 1979) work on the ecology of humandevelopment has made significant sociologicalcontributions to Lewin’s life space concept. Bron-frenbrenner defines the ecology of learning/devel-opment spaces as a topologically nested arrange-ment of structures, each contained within the next.The learner’s immediate setting, such as a courseor classroom, is called the microsystem, whileother concurrent settings in the person’s life suchas other courses, the dorm, or family are referred toas the mesosystem. The exosystem encompassesthe formal and informal social structures that in-fluence the person’s immediate environment, suchas institutional policies and procedures and cam-pus culture. Finally, the macrosystem refers to theoverarching institutional patterns and values ofthe wider culture, such as the cultural values fa-voring abstract knowledge over practical knowl-edge, that influence actors in the person’s immedi-ate microsystem and mesosystem. This theoryprovides a framework for analysis of the socialsystem factors that influence learners’ experienceof their learning spaces.

Another important contribution to the learningspace concept is situated learning theory (Lave &Wenger 1991). Like ELT, situated learning theorydraws on Vygotsky’s (1978) activity theory of socialcognition for a conception of social knowledge thatconceives of learning as a transaction between theperson and the social environment. Situations insituated learning theory such as life space and

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learning space are not necessarily physical placesbut constructs of the person’s experience in thesocial environment. These situations are embed-ded in communities of practice that have a history,norms, tools, and traditions of practice. Knowledgeresides not in the individual’s head but in commu-nities of practice. Learning is thus a process ofbecoming a member of a community of practicethrough legitimate peripheral participation (e.g.,apprenticeship). Situated learning theory enrichesthe learning space concept by reminding us thatlearning spaces extend beyond the teacher and theclassroom. They include socialization into a widercommunity of practice that involves membership,identity formation, transitioning from novice to ex-pert through mentorship, and experience in theactivities of the practice, as well as the reproduc-tion and development of the community of practiceitself as newcomers replace old-timers.

Finally, in their theory of knowledge creation,Nonaka and Konno (1998) introduce the Japaneseconcept of ba, a “context that harbors meaning,”which is a shared space that is the foundation forknowledge creation. “Knowledge is embedded inba, where it is then acquired through one’s ownexperience or reflections on the experiences of oth-ers” (Nonaka & Konno, 1998: 40). Knowledge em-bedded in ba is tacit and can only be made explicitthrough sharing of feelings, thoughts, and experi-ences of persons in the space. For this to happenthe ba space requires that individuals remove bar-riers between one another in a climate that empha-sizes “care, love, trust, and commitment.” Learningspaces similarly require norms of psychologicalsafety, serious purpose, and respect to promotelearning.

In ELT the experiential learning space is definedby the attracting and repelling forces (positive andnegative valences) of the two poles of the dualdialectics of action/reflection and experiencing/conceptualizing, creating a two-dimensional mapof the regions of the learning space. Individuals’learning style positions them in one of these re-gions depending on the equilibrium of forcesamong action, reflection, experiencing, and con-ceptualizing. As with the concept of life space, thisposition is determined by a combination of indi-vidual disposition and characteristics of the learn-ing environment. The LSI measures an individual’spreference for a particular region of the learningspace, that individual’s “home region” so to speak.Learners’ scores on the LSI place them in one of thenine regions depicted in Figure 2, each of which isassociated with a specific process of learning fromexperience. These regions are named for the pointsof the compass and are divided into specialized

learning regions and integrative or balancinglearning regions. The regions of the ELT learningspace offer a typology of the different types oflearning based on the extent to which they requireaction versus reflection, experiencing versusthinking, thereby emphasizing some stages of thelearning cycle over others.

The learning process in specialized learning re-gions, accommodating, diverging, assimilating,and converging, strongly emphasizes one pole ofthe feeling/thinking dialectic and one pole of theacting/reflecting dialectic. Individuals in the NWregion learn primarily through acting and feeling.In the NE region learners emphasize reflecting andfeeling. In the SE region learners emphasize re-flecting and thinking. In the SW region individualslearn through thinking and acting.

In the integrative learning regions, N, E, S, W,and C, the learning process integrates the poles ofone or both of the two dialectics. The learningprocess in the N region integrates acting and re-flecting with a primary emphasis on feeling. In theE region the learning process integrates feelingand thinking with a primary emphasis on reflect-ing. In the S region learners integrate acting andreflecting with a primary emphasis on thinking. Inthe W region the learning process integrates feel-ing and thinking with a primary emphasis on ac-tion. In the central region learners take an integra-tive approach to learning that balances feeling,thinking, acting, and reflecting.

The ELT learning space concept emphasizes thatlearning is not one universal process but a map oflearning territories, a frame of reference withinwhich many different ways of learning can flourishand interrelate. It is a holistic framework that ori-ents the many different ways of learning to oneanother. As Lewin put it,

Actually, the term learning refers to a multi-tude of different phenomena. The statement,“Democracy, one has to learn, autocracy isimposed on the person,” refers to one type oflearning. If one says that the spastic child hasto learn to relax one is speaking of a differenttype of learning. Both types probably havevery little to do with learning French vocabu-lary, and this type again has little to do withlearning to like spinach. Have we any right toclassify learning to high-jump, to get alongwith alcohol, and to be friendly with peopleunder the same term, and to expect identicallaws to hold for any of these processes? (Citedin Cartwright, 1951: 65).

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Experiential learning can be viewed as a pro-cess of locomotion through the learning regionsthat is influenced by a person’s position in thelearning space. Research using the Adaptive StyleInventory (ASI; Boyatzis & Kolb, 1993) has shownthat individuals vary in their ability to move aboutthe learning space from their home region (e.g., aperson scoring in the southern region moving fromthe thinking-oriented southern region to the feel-ing-oriented northern region) and that this capac-ity to adapt flexibly to changing learning contextsis related to higher stages of adult development(Kolb, 1984, chap. 8). One’s position in the learningspace defines that person’s experience and thusdefines their “reality”. Lewin stresses the impor-tance for education of defining the learning spacein terms of the learner’s experience:

One of the basic characteristics of field theoryin psychology, as I see it, is the demand thatthe field which influences an individualshould be described not in objective physical-istic terms, but in the way that it exists forthat person at that time . . . A teacher willnever succeed in giving proper guidance to achild if he does not learn to understand thepsychological world in which that childlives . . . To substitute for that world of theindividual the world of the teacher, of thephysicist, or of anybody else is to be, not ob-jective, but wrong (Cited in Cartwright, 1951:62).

LEARNING SPACES IN HIGHER EDUCATION

To illustrate the concept of learning space, wepresent data showing the distribution of studentlearning styles in three institutions of higher edu-cation that are engaged in longitudinal institu-tional development programs to promote learning:the Case Weatherhead School of ManagementMBA program, the Cleveland Institute of Art under-graduate program, and the Case Western ReserveUniversity undergraduate program. The CaseWeatherhead institutional development program,reported in Innovation in Professional Education:Steps on a Journey From Teaching to Learning(Boyatzis, Cowen, & Kolb 1995), focused on curric-ulum development, student development, and lon-gitudinal outcome assessment (Boyatzis, Stubbs, &Taylor, 2002). MBA student learning style data isfrom Boyatzis and Mainemelis (2000). The programat the Cleveland Institute of Art is part of a longi-tudinal study of artistic learning conducted by theOhio Consortium on Artistic learning involving alongitudinal study of artistic learning styles, stu-

dent development workshops, and faculty develop-ment seminars (A. Kolb & Lingham 2002; Eickmann,A. Kolb, & D. Kolb, 2003). The Case program toenhance experiential learning in the undergradu-ate curriculum involves longitudinal outcome as-sessment, curriculum development, faculty devel-opment, and student development.

Comparing Learning Styles of Case Managementand CIA Art Students

Figures 3 and 4 show how the learning styles ofmanagement and art students are distributed inthe learning regions. Art students are concentratedin the feeling-oriented northern regions of thelearning space, while management students areconcentrated in the thinking-oriented southern re-gions. Forty-two point one percent of art studentsare in the northern regions, while 23.6% are in thesouth. Forty-five point seven percent of manage-ment students are in the southern regions with21.2% in the north. More art students are in theeastern regions than in the western regions (35.2%to 26.3%). More management students are in thewestern regions than in the eastern regions (36.3%to 30.4%). Among art students the SW region is theleast populated (3.7%), while the least-populatedregion for management students is the NE (5.1%).Ten point two percent of management students arein the balancing central region, while 12.5% of artstudents are there. Boyatzis and Mainemelis foundsignificant correlations between abstract learningstyles and grades and GMAT indicating a biastoward abstraction in evaluation and selectionpractices. For BFA graduates, there was no rela-tionship between grades and learning style.

Comparing Learning Spaces in Management andthe Arts

Our observations of the way the educational pro-cess is conducted in art schools and managementschools reveal some striking differences that giveinsight into the nature of learning in the differentlearning regions. Dewey’s distinction between ar-tistic and scientific learning helps us understandthe difference between the kinds of learning thatoccur in art education and in management educa-tion:

The rhythm of loss of integration with envi-ronment and recovery of union not only per-sists in man, but becomes conscious with him;its conditions are material out of which heforms purposes. Emotion is the conscious signof a break, actual or impending. The discord

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is the occasion that induces reflection. Desirefor restoration of the union converts mereemotion into interest in objects as conditionsof realization of harmony. With the realiza-tion, material of reflection is incorporated intoobjects as their meaning. Since the artistcares in a peculiar way for the phase of ex-perience in which union is achieved, he doesnot shun moments of resistance and tension.He rather cultivates them, not for their ownsake but because of their potentialities,bringing to living consciousness an experi-ence that is unified and total. In contrast withthe person whose purpose is esthetic, the sci-entific man is interested in problems, in situ-ations wherein tension between the matter ofobservation and of thought is marked. Ofcourse he cares for their resolution. But hedoes not rest in it; he passes on to anotherproblem using an attained solution only as astepping stone on which to set on foot furtherinquires.

The difference between the esthetic and theintellectual is thus one of the place whereemphasis falls in the constant rhythm thatmarks the interaction of the live creature withhis surroundings . . . Because of the compara-

tive remoteness of his end, the scientificworker operates with symbols, words, andmathematical signs. The artist does his think-ing in the very qualitative media he works in,and the terms lie so close to the object that heis producing that they merge directly into it(Dewey, 1934: 15–16).

A first awareness of differences in the manage-ment and arts learning spaces came as we werepreparing a learning style workshop for art stu-dents. We asked what readings we should giveand the provost, Paul Eickmann, said, “You know,for art students learning is not text driven.” Thisstood in dramatic contrast with management edu-cation, which is almost entirely organized aroundtexts that deliver an authoritative scientific dis-course. The scientific basis of the managementcurriculum was established in 1959 by an influen-tial Carnegie Foundation report that sought to im-prove the intellectual respectability of manage-ment education by grounding it in three scientificdisciplines: economics, mathematics, and behav-ioral science.

The text-driven approach of management edu-cation contrasts with the experiential learningprocess of demonstration–practice–production–

FIGURE 3Learning Styles of MBA Students (N � 1286)

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critique that is used in most art classes (see Table1). This process is repeated recursively in art edu-cation, while management education is primarilydiscursive, with each topic covered in a linear se-quence with little recursive repetition. Manage-ment education focuses on telling; art educationemphasizes showing. Management educationtends to emphasize theory; art education empha-sizes integration of theory and practice. Art educa-tion focuses on the learners’ inside-out expression;management education on outside-in impression.Most time in management classes is spent con-veying information with relatively little time

spent on student performance, most of which oc-curs on tests and papers. In art classes, the ma-jority of the time is spent on student expressionof ideas and skills. Art education tends to beindividualized, with small classes and individ-ual attention, while management education isorganized into large classes with limited indi-vidualized attention. An assistant dean at theColumbus College of Art and Design who ma-jored in music as an undergraduate and later gotan MBA, contrasted the 3 hours a week he spentin individual tutorial with his mentor with theshock he experienced in entering a tiered MBAclassroom of 200 students. Finally, art educationtends to be represented by faculty members withdiverse learning styles, whereas managementeducation tends to favor specialized facultymembers with a primarily abstract learning ori-entation.

Longitudinal Locomotion in the Arts LearningSpace

Longitudinal LSI scores from CIA students at thebeginning of their freshman and junior years showa significant movement among students from thereflective eastern regions to the active western

TABLE 1Comparison of Arts Education and Management

Education

Arts Education Management Education

Aesthetic ScientificDemo–practice–production–critique Text drivenRecursive DiscursiveTheory and practice TheoryShowing TellingExpression ImpressionIndividualized BatchedDiverse faculty Abstract faculty

FIGURE 4Learning Style Distribution of CIA Graduating Students (N � 216)

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regions, perhaps indicating student growth anddevelopment toward a more active role in theirown learning as a result of the empowering, activestructure of the CIA learning environment (see Ta-ble 2). Longitudinal studies of LSI changes amongundergraduates in Alverno College’s program,which emphasizes competency developmentthrough active experiential learning, show similarmovement from the reflective to active learningregions across the freshman to senior years (Ment-kowski & Strait 1983; Mentkowski and Associates,2000).

Learning Styles of Case Undergraduates

Figure 5 shows the distribution of Case freshmenin the learning regions. As might be expected froma research university liberal arts program with astrong emphasis on science and engineering, thepattern of LSI scores shows a distribution acrossthe learning regions that is similar to the CaseMBA program in its emphasis on the abstractsouthern regions. Forty-nine percent of Case fresh-men are positioned in the southern regions (vs.47.5% MBAs) and 16.8% of the freshmen are in thenorthern regions (vs. 21.2% MBAs). As with the MBAstudents, there are significant correlations be-tween abstract selection criteria, (SAT scores), andabstract LSI scores (r � .32). However, the Casefreshmen are more similar to the CIA graduates intheir distribution in the eastern and western re-gions. Thirty-five point five percent of Case fresh-men are in the eastern regions (vs. 35.2% CIA).Twenty-three point three percent of Case freshmenare in the western regions (vs. 26.3% CIA). The NWis the least populated learning region (3.5%), whilethe S region has the greatest number of Case fresh-men (19.4%).

Skill Development and Learning Regions

Table 3 shows the relationship between the posi-tion of Case freshmen in the learning regions andtheir learning skills as measured by the LearningSkills Profile. Five of the 12 learning skill areasshow significant F values. All three conceptualskill areas, Theory Building, Quantitative Analy-sis, and Technology skills show significant differ-ences among regions. Tukey and Scheffe tests in-dicate that theory skills are highest in the S andSW and lowest in the NE region. Quantitative anal-ysis skills are highest in the S and lowest in theNW, N, and NE regions. Among the interpersonalskill areas, only help skills were significant acrossregions, with the NW significantly higher than theS region. In the action skills area, only initiativeskills were significant with the NW area signifi-cantly higher than the E, SE, and C regions. None ofthe information skill areas were significant amongregions.

Summary

The portraits of institutional learning spaces pre-sented above suggest that student learning stylescores may be a way to describe the institutionallearning spaces experienced by students. In par-ticular the comparison between the observed edu-cational programs and teaching methods of CIAarts education and Case MBA education seemsconsistent with respective student LSI distribu-tions in the nine-region learning space, with MBAstudents primarily in the southern thinking andwestern acting regions, and arts students fallingmainly in the northern feeling and eastern reflec-tion regions. The corresponding discursive, telling,educational methods of the MBA program and therecursive, showing, techniques of the art school

TABLE 2CIA Students’ Learning Style at the Beginning of the Freshman and Junior Year

LSI Scores n

Freshman (2000) Junior (2001)

taM SD M SD

Experiencing (CE) 77 26.31 6.07 26.87 6.64 �0.66Reflecting (RO) 77 31.36 6.56 29.23 7.00 2.42**Conceptualizing (AC) 77 28.88 6.28 29.34 7.47 �0.54Acting (AE) 77 32.88 6.48 34.56 6.80 �1.95*AC-CE 77 2.57 9.97 2.47 11.88 0.08AE-RO 77 1.52 11.40 5.32 11.56 �2.61**

a Significance levels are for paired sample t tests as two-tailed tests.* p � .05. ** p � .01.

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recall Dewey’s description of the scientific workerwho “operates with symbols, words and mathe-matical signs” and the artist who “does his think-ing in the very qualitative media he works in.”

The very similar learning space distributions ofCase undergraduate and MBA students suggestthe institutional exosystem influence of the univer-sity’s research mission and culture on the learningspaces experienced by students. Both students andfaculty are selected for their abstract learningskills, so it is not surprising that the universitylearning spaces would predominate in the south-ern regions.

As the undergraduate data on learning skillsand learning regions suggest, the nine regions ofthe experiential learning space are associatedwith specific learning processes. The learning pro-cesses in each region are in turn most effective forthe achievement of certain learning outcomes. Forexample, the feeling-oriented northern regions aremost effective for learning interpersonal skills,while the thinking-oriented southern regions aremost effective for learning analytic and quantita-tive skills. Individuals’ learning styles representtheir preferences for particular regions of thelearning space, their home bases so to speak. ThatCase specializes in education for abstract, ana-

lytic skills makes sense in that its mission is toprepare students for careers that require abstrac-tion and analysis. However, to learn skills outsideof their home region, learners need to move toother regions and the learning process for any skillrequires the ability to move through the experienc-ing, reflecting, thinking, and acting cycle. To fullydevelop the whole person requires an educationalculture that promotes diverse learning spaces andlocomotion among them.

CREATING LEARNING SPACES FOR THEENHANCEMENT OF EXPERIENTIAL LEARNING

The enhancement of experiential learning inhigher education can be achieved through the cre-ation of learning spaces that promote growth-producing experiences for learners. A central con-cept in Dewey’s educational philosophy is thecontinuum of experience in which experiences thatpromote or inhibit learning are arrayed. “The be-lief that all genuine education comes aboutthrough experience does not mean that all experi-ences are genuinely educative . . . For some expe-riences are mis-educative. Any experience is mis-educative that has the effect of arresting ordistorting the growth of further experience . . .

FIGURE 5Case 2002 Undergraduate Freshman LSI Distribution (N � 288)

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TABL

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Hence the central problem of an education basedon experience is to select the kind of present expe-riences that live fruitfully and creatively in sub-sequent experiences” (Dewey, 1938: 25–28). Anumber of educational principles flow from thisphilosophy.

Respect for Learners and Their Experience

A growth-producing experience in the philosophyof experiential learning refers not only to a directexperience related to a subject matter under studybut also to the total experiential life space of thelearner. This includes the learner’s physical andsocial environment and quality of relationships.We refer to this as the cheers/jeers experientialcontinuum. At one end learners feel that they aremembers of a learning community who are knownand respected by faculty and colleagues andwhose experience is taken seriously, a space“where everybody knows your name.” At the otherextreme are “mis-educative” learning environ-ments where learners feel alienated, alone, unrec-ognized, and devalued. Learning and growth in thejeers environment “where nobody knows yourname” can be difficult if not impossible. While thisprinciple may seem obvious or even “preachy,” itis problematic for even the finest educational in-stitutions. President Lawrence Summers of Har-vard dedicated his 2003 commencement address tothe introduction of a comprehensive examinationof the undergraduate program, motivated in partby a letter he received from a top science studentwhich contained the statement, “I am in the eighthsemester of college and there is not a single sci-ence professor here who could identify me byname.” Summers concludes: “The only true mea-sure of a successful educational model is our stu-dents’ experience of it” (Summers, 2003: 64).

Begin Learning With the Learner’s Experience ofthe Subject Matter

To learn experientially learners must first of allown and value their experience. Students will of-ten say, “But I don’t have any experience,” mean-ing that they don’t believe that their experience isof any value to the teacher or for learning thesubject matter at hand. The new science of learn-ing (Bransford, Brown, & Cocking 2000) is based onthe cognitive constructivist theories of Piaget andVygotsky that emphasize that people constructnew knowledge and understanding from what theyalready know and believe, based on their previousexperience. Zull (2002) suggests that this priorknowledge exists in the brain as neuronal net-

works which cannot be erased by a teacher’s co-gent explanation. Instead the effective teacherbuilds on exploration of what students alreadyknow and believe, on the sense they have made oftheir previous concrete experiences. Beginningwith these or related concrete experiences allowsthe learner to re-examine and modify their previ-ous sensemaking in light of the new ideas.

Creating and Holding a Hospitable Space forLearning

To learn requires facing and embracing differenc-es; whether they be differences between skilledexpert performance and one’s novice status, differ-ences between deeply held ideas and beliefs andnew ideas, or differences in the life experience andvalues of others that can lead to understandingthem. These differences can be challenging andthreatening, requiring a learning space that en-courages the expression of differences and thepsychological safety to support the learner in fac-ing these challenges (Sanford, 1966). As RobertKegan says, “people grow best where they contin-uously experience an ingenious blend of challengeand support” (1994: 42). As Kegan implies by hisuse of the term ingenious blend, creating and hold-ing this learning space is not easy. He notes thatwhile educational institutions have been quitesuccessful in challenging students, they have beenmuch less successful in providing support. Onereason for this may be that challenges tend to bespecific and immediate, while support must gobeyond an immediate “You-can-do-it” statement.Creating and holding a learning space requires aclimate or culture of support that the learner cantrust to “hold” them over time. In ConversationalLearning (Baker, Jensen, & Kolb, 2002), we draw onthe works of Henri Nouwen (1975) and ParkerPalmer (1983, 1990, 1998) to describe this challeng-ing and supportive learning space as one that wel-comes the stranger in a spirit of hospitality where“students and teachers can enter into a fearlesscommunication with each other and allow theirrespective life experiences to be their primary andmost valuable source of growth and maturation”(Nouwen, 1975: 60).

Making Space for Conversational Learning

Human beings naturally make meaning from theirexperiences through conversation. Yet genuineconversation in the traditional lecture classroomcan be extremely restricted or nonexistent. At thebreak or end of the class the sometimes painfullysilent classroom will suddenly come alive with

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spontaneous conversation among students. Signif-icant learning can occur in these conversations,although it may not always be the learning theteacher intended. Making space for good conver-sation as part of the educational process providesthe opportunity for reflection on and meaning mak-ing about experiences that improve the effective-ness of experiential learning (Keeton, Sheckley, &Griggs 2002; Bunker 1999). For example, the cre-ation of learning teams as part of a course pro-motes effective learning when psychologicallysafe conditions are present (Wyss-Flamm, 2002).Conversational Learning presents the dimensionsof spaces that allow for good conversation. It ismore likely to occur in spaces that integrate think-ing and feeling, talking and listening, leadershipand solidarity, recognition of individuality and re-latedness, and discursive and recursive processes.When the conversational space is dominated byone extreme of these dimensions, for example,talking without listening, conversational learningis diminished.

Making Space for Development of Expertise

With vast knowledge bases in every field that areever changing and growing, many higher educa-tion curricula consist of course after course “cover-ing” a series of topics in a relatively superficialfactual way. Yet as the National Research Councilin its report on the new science of learning recom-mends on the basis of research on expert learners,effective learning requires not only factual knowl-edge, but the organization of these facts and ideasin a conceptual framework and the ability to re-trieve knowledge for application and transfer todifferent contexts (Bransford, Brown, & Cocking2000). Such deep learning is facilitated by deliber-ate, recursive practice on areas that are related tothe learner’s goals (Keeton, Sheckley, & Griggs2002). The process of learning depicted in the ex-periential learning cycle describes this recursivespiral of knowledge development. Space needs tobe created in curricula for students to pursue suchdeep experiential learning in order to develop ex-pertise related to their life purpose.

Making Spaces for Acting and Reflecting

Learning is like breathing; it involves a taking inand processing of experience and a putting out orexpression of what is learned. As Dewey noted,“nothing takes root in mind when there is no bal-ance between doing and receiving. Some decisiveaction is needed in order to establish contact withthe realities of the world and in order that impres-

sions may be so related to facts that their value istested and organized” (1934: 45). Yet many pro-grams in higher education are much more focusedon impressing information on the mind of thelearner than on opportunities for the learners toexpress and test in action what they have learned.Many courses will spend 15 weeks requiring stu-dents to take in volumes of information and only acouple of hours expressing and testing their learn-ing, often on a multiple-choice exam. This is incontrast to arts education built on the demonstra-tion–practice–critique process where active ex-pression and testing are continuously involved inthe learning process. Zull (2002) suggests that ac-tion may be the most important part of the learningcycle because it closes the cycle by bringing theinside world of reflection and thought into contactwith the outside world of experiences created byaction (cf. Dewey, 1897). Keeton, Sheckley andGross (2002) propose another level of action/reflec-tion integration, emphasizing the importance ofactive reflection in deepening learning from expe-rience.

Making Spaces for Feeling and Thinking

We have seen a polarization between feeling andthinking in the contrast between the feeling-oriented learning space of CIA arts education andthe thinking-oriented learning spaces of the Caseundergraduate and MBA programs. It seems thateducational institutions tend to develop a learningculture that emphasizes the learning mode mostrelated to their educational objectives and to de-value the opposite learning mode. Yet, Damasio(1994, 2003), LeDoux (1997), Zull (2002), and othersoffer convincing research evidence that reasonand emotion are inextricably related in their influ-ence on learning and memory. Indeed it appearsthat feelings and emotions have primacy in deter-mining whether and what we learn. Negative emo-tions such as fear and anxiety can block learning,while positive feelings of attraction and interestmay be essential for learning. To learn somethingthat one is not interested in is extremely difficult.

Negative emotions such as fear andanxiety can block learning, whilepositive feelings of attraction andinterest may be essential for learning.

Making Space for Inside-Out Learning

David Hunt (1987, 1991) describes inside-out learningas a process of beginning with oneself in learning by

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focusing on one’s experienced knowledge, that is,the implicit theories, metaphors, interests, desiresand goals that guide experience. Making space forinside-out learning by linking educational experi-ences to the learner’s interests kindles intrinsic mo-tivation and increases learning effectiveness. Underthe proper educational conditions, a spark of intrin-sic interest can be nurtured into a flame of committedlife purpose (Dewey, 1897). Yet learning spaces thatemphasize extrinsic reward can drive out intrinsi-cally motivated learning (Deci & Ryan, 1985; Kohn1993; Ryan & Deci, 2000). Long ago Dewey describedthe trend toward emphasis on extrinsic reward ineducation and the consequences for the teacher whowields the carrot and stick:

Thus in education we have that systematicdepreciation of interest which has beennoted . . . Thus we have the spectacle ofprofessional educators decrying appeal tointerest while they uphold with great dig-nity the need of reliance upon examina-tions, marks, promotions and emotions,prizes and the time honored paraphernaliaof rewards and punishments. The effect ofthis situation in crippling the teacher’ssense of humor has not received the atten-tion which it deserves (1916: 336).

Making Space for Learners to Take Charge ofTheir Own Learning

Many students enter higher education conditionedby their previous educational experiences to bepassive recipients of what they are taught. Makingspace for students to take control of and responsi-bility for their learning can greatly enhance theirability to learn from experience. Some authors usethe term self-authorship to describe this process ofconstructing one’s own knowledge versus pas-sively receiving knowledge from others, consider-ing self-authorship to be a major aim of education(Kegan, 1994; King, 2003; Baxter-Magolda, 1999).Others describe this goal as increasing students’capacity for self-direction (Boyatzis, 1994; Robert-son, 1988). The Management Development and As-sessment course in the Case MBA program aims todevelop student self-direction through assessmentand feedback on learning skills and competenciesand the development of a learning plan to achieveeach student’s career/life goals (Boyatzis, 1994).Bransford, Brown, and Cocking (2002) argue for thedevelopment of meta-cognitive skills to promoteactive learning. By developing their effectivenessas learners (Keeton, Sheckley, & Griggs, 2002), stu-dents can be empowered to take responsibility for

their own learning by understanding how theylearn best and the skills necessary to learn inregions that are uncomfortable for them. Work-shops on experiential learning and learning stylescan help students to develop meta-cognitive learn-ing skills. At CIA and the Case undergraduateprograms, student workshops help students inter-pret their LSI scores and understand how to usethis information to improve their learning effec-tiveness. John Reese at the University of DenverLaw School conducts “Connecting with the Profes-sor” workshops in which students select one of fourteaching styles based on the four predominantlearning styles that they have difficulty connectingwith. The workshop gives multiple examples ofremedial actions that the learner may take to cor-rect the misconnection created by differences inteaching and learning styles. Peer group discus-sions among law students give an opportunity tocreate new ideas about how to get the most fromprofessors with different learning and teachingstyles (Reese, 1998).

PROMOTING LEARNING IN HIGHER EDUCATIONTHROUGH INSTITUTIONAL DEVELOPMENT

To implement these educational learning spaceprinciples requires a holistic program of institu-tional development that includes curriculum de-velopment, faculty development, student develop-ment, administrative and staff development, andresource development. Programs in these areasneed to be coordinated around an institutional vi-sion and mission to promote learning. Such a co-ordinated institutional approach can provide thesynergy necessary for dramatic organizationalchange, while fragmented approaches in one areaare often frustrated by lack of interest or under-standing in others. One can develop a state of theart learning-focused curriculum that is doomed tofailure if faculty members are not on board with itphilosophically and technically. If administrativeleadership has priorities focused on income andratings, the resources for learning promotion willnot be available in other developmental areas.

By developing their effectiveness aslearners (Keeton, Sheckley, & Griggs,2002), students can be empowered to takeresponsibility for their own learning byunderstanding how they learn best andthe skills necessary to learn in regionsthat are uncomfortable for them.

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In the last chapter of Innovation in ProfessionalEducation titled “What if Learning Were the Pur-pose of Education” (Boyatzis, Cowen, & Kolb, 1995),we proposed five design principles to help educa-tional institutions focus on the promotion of learn-ing.

1. Evaluation of educational structures and pro-cesses against promotion of learning criteria.

2. Longitudinal outcome studies to determinelearning value added.

3. Becoming a learner-centered institution.4. Continuous research and inquiry about the

learning process.5. Becoming a learning organization through

continuous stakeholder conversation.

The institutional development program to pro-mote experiential learning initiated by Case West-ern Reserve University (Case) provides an exampleof this holistic approach. In October 2000 the Casepresident and provost created the President’s Com-mission on Undergraduate Education and Life. TheCommission’s report recommended that Caseadopt a philosophy of experiential learning, en-capsulated in the mission/value statement that“CWRU graduates students who have discoveredand are realizing their own uncommon potentialthrough the University’s uniquely transformativeenvironment and its philosophy that education isbest accomplished through experience” (Presi-dent’s Commission, 2001: 2). Building on the Com-mission report, university faculty developed an ex-perimental undergraduate curriculum calledSeminar Approach to General Education Studies(SAGES). The SAGES 2-year pilot program was cre-ated as part of curriculum revision of the under-graduate General Education Requirements (GER)of College of Arts and Sciences proposed by thecommission. Following the proposed new GER rec-ommendations, SAGES was designed to foster instudents breadth as well as specialized knowledgeby exposing them to a wide range of disciplineswithin three major divisions of the college: NaturalSciences and Mathematics, Arts and Humanities,and Social Sciences in addition to their major fieldof study. Such learning objectives are to be accom-plished through a small class size (max 15 stu-dents), intense one-to-one advising, and exposureto diverse learning environments and teachingpedagogy across the university (A. Kolb et al.,2003). In 2002 the new president, Edward Hundert,embraced the Commission report, committed thefunding to implement fully the SAGES curriculumbeginning in the fall of 2005, and in his inauguraladdress, articulated a vision for the future of theuniversity: “We’re going to focus all of our collec-tive talent, attention and resources on a vision—a

vision that starts with a commitment to experien-tial learning with rigorous scholarship in under-graduate, graduate and professional educationprograms to produce educated learners—educatedlearners who are awake to new possibilities”(Campus News, 2003: 2).

To support the new SAGES curriculum, Case haslaunched a 5-year faculty development program tobe organized and delivered through Center for In-novation in Teaching and Education (UCITE). Ac-cording to the plan of this program, a total of 80faculty members across the university will un-dergo an intense development on how to develop aparticular course or other educational experiencesbased on experiential learning over the period of 5years. In this program, faculty members meet reg-ularly to discuss the philosophy of experientiallearning, the methods of implementation that re-spond to the needs of the individual schools anddepartments, the course structure that needs to beput in place, the teaching methods that lend them-selves to meeting the goals, and assessment tech-niques. In an effort to coordinate and support suchuniversity-wide institutional development initia-tives, the new president created the Center forInstitutional Research (CIR), a collaborative effortto expand institutional research support for all sec-tors of the university. Its primary role is to provideinformation about the university’s students, fac-ulty, staff, programs and environment to supportdecision making, policy analysis, institutional as-sessment, and strategic planning. The Case initia-tive to enhance experiential learning in the under-graduate curriculum integrating institutionaldevelopment activities through a leadership visionserves as an example for the creation of educa-tional learning spaces that promote learning inhigher education.

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Alice Y. Kolb received her PhDfrom Case Western ReserveUniversity in organizational be-havior. She is the president ofExperience-Based LearningSystems, Inc., a research anddevelopment organization thatpromotes experiential learningin organizations worldwide.Her current focus is on promot-ing learning in higher educa-tion through institutional devel-opment.

David A. Kolb is professor of or-ganizational behavior at CaseWestern Reserve University,Weatherhead School of Man-agement. He received his PhDin social psychology from Har-vard University. Kolb is bestknown for his research on expe-riential learning and learningstyles described in ExperientialLearning: Experience as theSource of Learning and Devel-opment. His current researchfocuses on team learning andexperiential learning in con-versation.

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