Observational Goal Setting

IntroductionPrevious ResearchResults & Findings

Conclusion

Observational Goal Setting

Sébastien Louvigné

Graduate School of Information Systems. Okamoto lab.The University of Electro-Communications, Chofu, Tokyo

June 22, 2012

Sébastien Louvigné UEC - Chofu, Tokyo, Japan. 2012


Conclusion

Outline

1 Introduction

Goals for Learning

Problem Statement

Research Purpose

2 Previous Research

Goal Setting

Observational Learning

3 Results & Findings

Large-Scale Dataset

Methodology

Observational Goal Setting Theory

4 Conclusion



Conclusion

Goals for LearningProblem StatementResearch Purpose

Goals for Learning

Goal Setting enhances Learning

Providing a sense of direction and purpose:

Being aware of reasons � Important for learners (Pintrich, et al.1990).

�Do your best!� � Not e�cient for learning.

(Dan Pink - RSA Animate)



Conclusion


Problem Statement

Failing to �nd goals � Failing in learning

�Give the child the desire to learn and... any method will be good.�(Rousseau, 1854)�The largest cause of education failure is... lack of studentmotivation.� (Samuelson, 2010)

Proposed Solution: Utilizing Social Media

1 Finding a community.

2 Providing a large variety of goals from peers.



Conclusion


Research Purpose



Conclusion

Goal SettingObservational Learning

Goal Setting

In�uencing learning and performance (Locke, 1990; Zimmerman,et al. 1992; Bekele, 2010).

Goal attributes

Leading eventually to personal satisfaction (Ful�llment).

Ful�llment and achievement motivation: important

success factors in learning.



Conclusion

Goal SettingObservational Learning

Observational Learning

Expanding knowledge from observing

4-processes categories (Bandura, 1986)

Attentional (Observation)Retention (Structuring information)Production (Behavior)Motivational (In�uence from others)



Conclusion

Large-Scale DatasetMethodologyObservational Goal Setting Theory

Large-Scale Dataset

Twitter

Short text messages

Metadata (e.g. user pro�le, social network)

Large amount of data publicly available

Data containing Learning concepts

Filter stream data (�learn�, �study�, �language�, �algebra�, etc).



Conclusion


Finding the right goals: Search Engines

Large amount of unstructured information



Conclusion


Finding the right goals: Social Media

Data Mining



Conclusion


Goal Classi�cation

Goal & Motivation classi�ers

1 Extracting motivational data from Twitter �MotivationalCorpus� (Rubens, 2012).

2 Filtering goal-based messages using textual features.

3 Determining what goals and attributes are (e.g. sentiment,

di�culty).



Conclusion


Proposed Approach

Showing goal-based motivational messages

Assisting learners in observing and adopting what they �nd useful.



Conclusion


Interface: Goal Categorization



Conclusion


Observational Goal Setting

Adoption process

1 Getting results from search request

2 Organizing results in separated groups

3 Showing results to users

4 Observing and adopting goals



Conclusion

Conclusion

Observational Goal Setting theory

Combining Goal Setting with Observational Learning.

Assisting learners in observing peers' goal-based messages and

setting up their own goals.

New Approach

Goal Classi�cation

Finding goal-based messages and determining what those goalsare.

Goal Categorization

Showing goal-based messages in separated groups.



Conclusion

Bibliography

Pintrich, Paul R. & E. V. De Groot (1990), �Motivational and self-regulatedlearning components of classroom academic performance�. Journal ofEducational Psychology , vol. 82, pp. 33-40.

Locke, Edwin A. (1996), �Motivation through conscious goal setting�. Applied &

Preventive Psychology , vol. 5, pp 117-124.

Locke, Edwin A. & G. P. Latham (2002), �Building a practically useful theory ofGoal Setting and Task Motivation�. American Psychologist, vol. 57, pp. 705-717.

Zimmerman, Barry J., A. Bandura & M. Martinez-Pons (1992), �Self-motivationfor academic attainment: the role of self-e�cacy beliefs and personal goalsetting�, American Educational Research Journal , vol. 29, pp. 663-676.

Bekele, Teklu A. (2010), �Motivation and satisfaction in internet-supportedlearning environments�. Educational Technology & Society , vol. 13(2), pp.116-127.

Bandura Albert (1986), �Social Foundations of thought and action: Asocial-cognitive theory� (Englewood Cli�s, NJ: Prentice Hall).

Rubens, Neil, S. Louvigné & T. Okamoto (2012), �Corpus of motivationalmessages�, Tech. rep. University of Electro-Communications.



Conclusion

Links

Observational Goal Setting theory

Online presentationhttp://www.slideshare.net/SebastienL/observational-goal-setting

Blog

http://activeintelligence.org/sebastien/

Contact

[email protected]
