Demands of Modern PLEs and the ROLE Approach

We present basic concepts and an outlook on current approaches and techniques of personal learning environments to point out their demands, focussing on recommendations in self-regulated learning scenarios as a major basic functionality of PLEs. In the context of the ROLE project, we explain how we plan to meet these demands by using user observations stored in the format of the contextualized attention metadata schema.

[1]  Greg Linden,et al.  Amazon . com Recommendations Item-to-Item Collaborative Filtering , 2001 .

[2]  Daniel O'Connor,et al.  Professional Java Server Programming, Second Edition , 2000 .

[3]  Erik Duval,et al.  MACE - Enriching Architectural Learning Objects for Experience Multiplication , 2007, EC-TEL.

[4]  Xin Jin,et al.  Semantically Enhanced Collaborative Filtering on the Web , 2003, EWMF.

[5]  Dunja Mladenic,et al.  Web Mining: From Web to Semantic Web , 2004, Lecture Notes in Computer Science.

[6]  Karl Steffens,et al.  Self‐Regulated Learning in Technology‐Enhanced Learning Environments: lessons of a European peer review , 2006 .

[7]  Tim O'Reilly,et al.  What is Web 2.0: Design Patterns and Business Models for the Next Generation of Software , 2007 .

[8]  Lloyd Rutledge,et al.  ReMashed - Recommendations for Mash-Up Personal Learning Environments , 2009, EC-TEL.

[9]  Sing Li,et al.  Professional Java Server Programming , 1999 .

[10]  Chris R. Smaill,et al.  The implementation and evaluation of OASIS: a web-based learning and assessment tool for large classes , 2005, IEEE Transactions on Education.

[11]  Stefanie Lindstaedt,et al.  APOSDLE: Contextualized Collaborative Knowledge Work Support , 2010 .

[12]  Erik Duval,et al.  Creating New Learning Experiences on a Global Scale, Second European Conference on Technology Enhanced Learning, EC-TEL 2007, Crete, Greece, September 17-20, 2007, Proceedings , 2007, EC-TEL.

[13]  Martin Ebner,et al.  Personal Learning Environment - a Conceptual Study , 2010, Int. J. Emerg. Technol. Learn..

[14]  南澤 由香里,et al.  書評 フィールド・J著『生涯学習と新しい教育体制』 Field, J., 2000, Lifelong Learning and The New Educational Order, Staffordshire, Trentham Books(=矢野裕俊・埋橋孝文・赤尾勝己・伊藤智子訳) 学文社、2004年 , 2005 .

[15]  M. van Harmelen.  Personal Learning Environments , 2006 .

[16]  E. Hilgard,et al.  Educational psychology (2nd ed.). , 1963 .

[17]  Carlos Delgado Kloos,et al.  An Approach for the Personalization of Exercises Based on Contextualized Attention Metadata and Semantic Web technologies , 2010, 2010 10th IEEE International Conference on Advanced Learning Technologies.

[18]  Maren Scheffel,et al.  Analyzing Contextualized Attention Metadata with Rough Set Methodologies to Support Self-regulated Learning , 2010, 2010 10th IEEE International Conference on Advanced Learning Technologies.

[19]  Sheizaf Rafaeli,et al.  QSIA - a Web-based environment for learning, assessing and knowledge sharing in communities , 2004, Comput. Educ..

[20]  Marco Kalz,et al.  The Hybrid Personalizer - Software Documentation , 2008 .

[21]  Alfred Kobsa,et al.  The Adaptive Web, Methods and Strategies of Web Personalization , 2007, The Adaptive Web.

[22]  Eduardo Guzmán,et al.  Self-assessment in a feasible, adaptive web-based testing system , 2005, IEEE Transactions on Education.

[23]  John Riedl,et al.  Item-based collaborative filtering recommendation algorithms , 2001, WWW '01.

[24]  B. Zimmerman.  A social cognitive view of self-regulated academic learning. , 1989 .

[25]  Ulrike Cress,et al.  Learning in the Synergy of Multiple Disciplines, 4th European Conference on Technology Enhanced Learning, EC-TEL 2009, Nice, France, September 29 - October 2, 2009, Proceedings , 2009, EC-TEL.

[26]  Robin D. Burke,et al.  Hybrid Recommender Systems: Survey and Experiments , 2002, User Modeling and User-Adapted Interaction.

[27]  Françoise Fessant,et al.  State-of-the-Art Recommender Systems , 2009 .

[28]  Carlos Delgado Kloos,et al.  A software player for providing hints in problem‐based learning according to a new specification , 2009, Comput. Appl. Eng. Educ..

[29]  Raymond J. Mooney,et al.  Content-boosted collaborative filtering for improved recommendations , 2002, AAAI/IAAI.

[30]  Sandra Schaffert,et al.  On the way towards Personal Learning Environments: Seven crucial aspects , 2008 .

[31]  Using Context,et al.  Modeling and Using Context, 6th International and Interdisciplinary Conference, CONTEXT 2007, Roskilde, Denmark, August 20-24, 2007, Proceedings , 2007, CONTEXT.

[32]  Michael J. Pazzani,et al.  Syskill & Webert: Identifying Interesting Web Sites , 1996, AAAI/IAAI, Vol. 1.

[33]  Maren Scheffel,et al.  CAMera for PLE , 2009, EC-TEL.

[34]  Erik Duval,et al.  Tracking Actual Usage: the Attention Metadata Approach , 2007, J. Educ. Technol. Soc..

[35]  Andreas Zimmermann,et al.  An Operational Definition of Context , 2007, CONTEXT.

[36]  Stéphane Sire,et al.  A messaging API for inter-widgets communication , 2009, WWW '09.

[37]  Barry Smyth,et al.  A personalised TV listings service for the digital TV age , 2000, Knowl. Based Syst..

[38]  Gerald Salton,et al.  Automatic text processing , 1988 .

[39]  Judy Kay,et al.  Learner Control , 2001, User Modeling and User-Adapted Interaction.

[40]  Mark Levene,et al.  Trails of Digital and Non-Digital LOs , 2004 .

[41]  Dietrich Albert,et al.  Knowledge Spaces: Theories, Empirical Research, and Applications , 1998 .

[42]  Gediminas Adomavicius,et al.  Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions , 2005, IEEE Transactions on Knowledge and Data Engineering.

[43]  Fridolin Wild,et al.  Mash-Up Personal Learning Environments , 2011 .