Upload
psyberbob
View
1.218
Download
1
Tags:
Embed Size (px)
Citation preview
A Learning Environment for the 21st Century Learner:
By: Robert Glynn
August 6, 2010
The Potential of Personalized Learning Environments, The Semantic Web and Augmented Reality
A 21st Century Ecology
Employment
Community
Innovation
Personal Life
Three Trends for 21st Century Learning
Personal Learning Environments
What is a personal learning environment (PLE)?
“ …a set of the different applications, services and various other types of learning resources gathered from different contexts. It is constructed by an individual and used in everyday life for learning. It is not an application or a system but a personal assemblage supporting new learning modalities induced by ubiquitous technologies and social software.” (Henri, Charlier & Limpens, 2008, p. 3766)
PLE Conceptual Model – More than a LMS
Note: From Henri, F., Charlier, B. & Limpens, F. (2008). Understanding PLE as an essential component of the learning process. In Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications 2008 (pp. 3766-3770). Chesapeake, VA: AACE.
Current LMS/VLE environments vs. PLE
Current e-learning environment
Future e-learning environment
Note: Adapted from Shaffert, S. & Hilzensauer, W. (2008). On the way towards personal learning environments: Seven crucial aspects. eLearning Papers, 9.
Future Personal Learning Environment
Note: From Henri, F., Charlier, B. & Limpens, F. (2008). Understanding PLE as an essential component of the learning process. In Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications 2008 (pp. 3766-3770). Chesapeake, VA: AACE.
Anticipated Benefits of PLEs
PLEs
The Semantic Web
“methods and technologies that allow machines to understand the meaning of information on the Web “
Berners-Lee, T., Hendler, J., & Lassila, O. (2001). The semantic web. Scientific American, 284, 34–43.
Ontology
An ontology “comprises a set of knowledge terms, including the vocabulary, the semantic interconnections, and some simple rules of inference and logic for some particular topic.” (pp. 30)
Hendler, J. (2001). Agents and the semantic web. IEEE Intelligent Systems, 16(2), 30-37.
Semantic Web Architecture
Machine-processable, global Web standards•Assigning unambiguous names (URI)
•Expressing and linking data, including metadata (RDF)
•Capturing ontologies (OWL)
•Query, rules, transformations, deployment, application spaces (in progress), logic, proofs, trust
Note: Adapted from World Wide Web Consortium (2007). Semantic web, and other technologies to watch. Retrieved August 3, 2010 from http://www.w3.org/2007/Talks/0130-sb-W3CTechSemWeb/#%2824%29.
Metadata Helps Describe Web Content (XML)
Current HTML markup
Same content with XML markup
Note: Adapted from Devedzic, V. (2004). Education and the semantic web. International Journal of Artificial Intelligence in Education, 14, 39-65.
Learning on the Semantic Web
Note: From Devedzic, V. (2004). Education and the semantic web. International Journal of Artificial Intelligence in Education, 14, 39-65.
Learning Benefits of Semantic Web
Augmented Reality (AR)
“AR allows the user to see the real world, with virtual objects superimposed upon or composited with the real world. Therefore, AR supplements reality, rather than completely replacing it ” (Azuma, 1997, pp. 2)
Reality +
Mobile learning and augmented reality [Image] (n.d.). Retrieved August 6, 2010 from http://www.avatarlanguages.com/teaching/guide.php
Virtual vs. Augmented Reality
Medieval slaughter [Image] (n.d.). Retrieved August 6, 2010 http://www.all-freeware.com/results/strategy/game
Virtual Reality
Augmented Reality
Example Learning Model with Augmented Reality
Education through experience
Enhanced motivation
Authentic learning
++
+
Future Learning: A Vision for the Future
Learning Environment of the Future
Challenges for Future ICT Learning Environments
References
Anido L.E., Fernandez M.J., Caeiro M., Santos J.M., Rodrıguez J.S. & Llamas M. (2002). Educational metadata and brokerage for learning resources. Computers and Education, 38, 351–374.
Aviram, A., Ronen, Y., Somekh, S., Winer, A. & Sarid, A. (2008). Self-regulated personalised learning (SRPL): Developing iClass's pedagogical model. eLearning Papers, 9.
Azuma, R. (1997). A survey of augmented reality. Teleoperators and Virtual Environments, 6(4), 355-85.
Berners-Lee, T., Hendler, J., & Lassila, O. (2001). The semantic web. Scientific American, 284, 34–43.
Brown, J.S. & Adler, R.P. (2008). Minds on fire: Open education, the long tail, and Learning 2.0. EDUCAUSE Review, 43(1), 16-32.
References
Dewey, J. (1938). Experience and Education. Simon & Schuster.
Hendler, J. (2001). Agents and the semantic web. IEEE Intelligent Systems, 16(2), 30-37.
Henri, F., Charlier, B. & Limpens, F. (2008). Understanding PLE as an essential component of the learning process. In Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications 2008 (pp. 3766-3770). Chesapeake, VA: AACE.
Huang, W., Webster, D., Wood, D. & Ishaya, T. (2006). An intelligent semantic e-learning framework using context-aware Semantic Web technologies. British Journal of Educational Technology, 37(3), 351-373.
References
Johnson, L., Levine, A., Smith, R., & Stone, S. (2010). The 2010 Horizon Report. Austin, Texas: The New Media Consortium.
Katz, I. R., & Macklin, A.S. (2007). Information and communication technology (ICT) literacy: Integration and assessment in higher education. Systemics, Cybernetics and Informatics 5(4), 50-55.
McLoughlin, C. & Lee, M.J. (2010). Personalised and self regulated learning in the Web 2.0 era: International exemplars of innovative pedagogy using social software. Australasian Journal of Educational Technology, 26(1), 28-43.
Narciss, S., Proske, A. & Koerndle, H. (2007). Promoting self-regulated learning in web-based environments. Computers in Human Behavior, 23(3), 1126-1144.
References
Ohler, J. (2008). The semantic web in education. EDUCAUSE Quarterly, 31(4), 7-9.
Rosenbaum, E., Klopfer, E. & Perry, J. (2006). On location learning: Authentic applied science with networked augmented realities. Journal of Science Education and Technology, 16(1), 31-45.
Stojanovic L., Staab S. & Studer R. (2001). ELearning based on the semantic web. In Proceedings of the WebNet2001 – World Conference on the WWW and Internet. Florida, USA.
Stubbé, H. E. & Theunissen, N. C. M. (2008). Self-directed adult learning in a ubiquitous learning environment: A meta-review. In M. Kalz, R. Koper, V. Hornung-Prähauser & M. Luckmann (Eds), Proceedings of the First Workshop on Technology Support for Self-Organized Learners (pp. 5-28). Aachen, Germany: RWTH Aachen University.
Van’t Hooft, M., Swan, K., Cook, D. & Lin,Y (2007). What is ubiquitous computing? In: van t Hooft M, Swan K (eds.) Ubiquitous computing in education. Lawrence Erlbaum Associates, Mah- wah, NJ.