Individualized selection of learning objects

[1]  Kun Hua Tsai,et al.  Personalized Learning Objects Recommendation based on the Semantic-Aware Discovery and the Learner Preference Pattern , 2007, J. Educ. Technol. Soc..

[2]  Nikos Manouselis,et al.  Experimental Analysis of Design Choices in multiattribute Utility Collaborative Filtering , 2007, Int. J. Pattern Recognit. Artif. Intell..

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

[4]  Erik Duval,et al.  Use of contextualized attention metadata for ranking and recommending learning objects , 2006, CAMA '06.

[5]  Christopher Brooks,et al.  Towards flexible learning object metadata , 2006 .

[6]  Harold Boley,et al.  Collaborative filtering and inference rules for context-aware learning object recommendation , 2005, Interact. Technol. Smart Educ..

[7]  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.

[8]  N. Friesen.  Three objections to learning objects , 2004 .

[9]  Gord McCalla,et al.  The Ecological Approach to the Design of E-Learning Environments: Purpose-based Capture and Use of Information About Learners , 2004 .

[10]  Richard M. Felder,et al.  MATTERS OF STYLE , 2004 .

[11]  Mimi Recker,et al.  What do you recommend? Implementation and analyses of collaborative information filtering of web resources for education , 2003 .

[12]  Julita Vassileva,et al.  Course sequencing techniques for large-scale web-based education , 2003 .

[13]  Susan Bull,et al.  Modelling cognitive style in a peer help networkt , 2002 .

[14]  Mike Sosteric,et al.  When is a Learning Object not an Object: A first step towards a theory of learning objects , 2002 .

[15]  Robert D. Macredie,et al.  Cognitive styles and hypermedia navigation: Development of a learning model , 2002, J. Assoc. Inf. Sci. Technol..

[16]  Mimi Recker,et al.  A Non-authoritative Educational Metadata Ontology for Filtering and Recommending Learning Objects , 2001, Interact. Learn. Environ..

[17]  Rosalind W. Picard,et al.  External Representation of Learning Process and Domain Knowledge: Affective State as a Determinate of its Structure and Function , 2001 .

[18]  David A. Wiley,et al.  Knowledge objects and mental models , 2000, Proceedings International Workshop on Advanced Learning Technologies. IWALT 2000. Advanced Learning Technology: Design and Development Issues.

[19]  Peter Brusilovsky,et al.  Adaptive Hypermedia: From Intelligent Tutoring Systems to Web-Based Education , 2000, Intelligent Tutoring Systems.

[20]  David Wiley,et al.  Connecting learning objects to instructional design theory: A definition, a metaphor, and a taxonomy , 2000 .

[21]  Robby Robson,et al.  Object-oriented Instructional Design and Applications to the Web , 1999 .

[22]  Barbara Wasson,et al.  Instructional Planning Approaches: from Tutoring towards Free Learning 1 , 1996 .

[23]  Peter Norvig,et al.  Artificial Intelligence: A Modern Approach , 1995 .

[24]  Bert Bredeweg,et al.  Student Modelling: The Key to Individualized Knowledge-Based Instruction , 2010, NATO ASI Series.

[25]  Eugene Charniak,et al.  Bayesian Networks without Tears , 1991, AI Mag..

[26]  Judea Pearl,et al.  Probabilistic reasoning in intelligent systems - networks of plausible inference , 1991, Morgan Kaufmann series in representation and reasoning.