Adaptive User Interfaces for Intelligent E-Learning: Issues and Trends

Adaptive User Interfaces have a long history rooted in the emergence of such eminent technologies as Artificial Intelligence, Soft Computing, Graphical User Interface, JAVA, Internet, and Mobile Services. More specifically, the advent and advancement of the Web and Mobile Learning Services has brought forward adaptivity as an immensely important issue for both efficacy and acceptability of such services. The success of such a learning process depends on the intelligent context-oriented presentation of the domain knowledge and its adaptivity in terms of complexity and granularity consistent to the learner’s cognitive level/progress. Researchers have always deemed adaptive user interfaces as a promising solution in this regard. However, the richness in the human behavior, technological opportunities, and contextual nature of information offers daunting challenges. These require creativity, cross-domain synergy, cross-cultural and cross-demographic understanding, and an adequate representation of mission and conception of the task. This paper provides a review of state-of-the-art in adaptive user interface research in Intelligent Multimedia Educational Systems and related areas with an emphasis on core issues and future directions.

[1]  Philippe A. Palanque,et al.  Critical Issues in User Interface Systems Engineering , 1996, Springer London.

[2]  Ingrid Zukerman,et al.  # 2001 Kluwer Academic Publishers. Printed in the Netherlands. Predictive Statistical Models for User Modeling , 1999 .

[3]  Sally Hong.  Granular approach to adaptivity in problem-based learning , 2002 .

[4]  Otman A. Basir,et al.  Fuzzy Inferencing in the Web Page Layout Design , 2003, WSMAI.

[5]  Anthony Jameson,et al.  Numerical uncertainty management in user and student modeling: An overview of systems and issues , 2005, User Modeling and User-Adapted Interaction.

[6]  Cveta Martinovska.  A Fuzzy-Based Approach to User Model Refinement in Adaptive Hypermedia Systems , 2002, AH.

[7]  Judea Pearl,et al.  Bayesian Networks , 1998, Encyclopedia of Social Network Analysis and Mining. 2nd Ed..

[8]  Keith W. Hipel,et al.  Emotion: the missing ingredient in conflict analysis , 2003, SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483).

[9]  Efraim Turban,et al.  Decision support systems and intelligent systems , 1997 .

[10]  Ben Shneiderman,et al.  Direct manipulation vs. interface agents , 1997, INTR.

[11]  Toshikazu Kato,et al.  Understanding subjectivity: An interactionist view , 1999 .

[12]  Stephan Weibelzahl,et al.  Evaluating the Inference Mechanism of Adaptive Learning Systems , 2003, User Modeling.

[13]  Henry A. Kautz.  A formal theory of plan recognition , 1987 .

[14]  Otman Basir,et al.  Decision Preferences, Constraints, and Evaluation Objectives in Layout Design: A Review of Modeling Techniques , 2004 .

[15]  Luciano Serafini,et al.  Comparing formal theories of context in AI , 2004, Artif. Intell..

[16]  Jirí Vomlel,et al.  Bayesian Networks In Educational Testing , 2002, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

[17]  Abdul-Rahim Ahmad,et al.  An Intelligent Decision Support System for Layout Design , 2004 .

[18]  Richard M. Schwartz,et al.  An Algorithm that Learns What's in a Name , 1999, Machine Learning.

[19]  Peter Brusilovsky,et al.  Adaptive Hypermedia , 2001, User Modeling and User-Adapted Interaction.

[20]  Ben Shneiderman,et al.  Direct manipulation for comprehensible, predictable and controllable user interfaces , 1997, IUI '97.

[21]  Demetrios G. Sampson,et al.  Personalised Learning: Educational, Technological and Standardisation Perspective , 2002 .

[22]  Clare-Marie Karat,et al.  User Attitudes Regarding a User-Adaptive eCommerce Web Site , 2003, User Modeling and User-Adapted Interaction.

[23]  Jude W. Shavlik,et al.  Learning users' interests by unobtrusively observing their normal behavior , 2000, IUI '00.

[24]  Peter Brusilovsky,et al.  Adaptive Navigation Support in Educational Hypermedia , 1998 .

[25]  Ronald E. Anderson.  ACM code of ethics and professional conduct , 1992, CACM.

[26]  Cristina Conati,et al.  Building and evaluating an intelligent pedagogical agent to improve the effectiveness of an educational game , 2004, IUI '04.

[27]  D. Benyon.  Domain Models for User Interface Design , 1996 .

[28]  Ashok Patel,et al.  Implementation issues in Web-based training , 2001 .

[29]  Michael J. Pazzani.  Adaptive Interfaces for Ubiquitous Web Access , 2003, User Modeling.

[30]  Albert T. Corbett,et al.  Modeling Student Knowledge: Cognitive Tutors in High School and College , 2000, User Modeling and User-Adapted Interaction.

[31]  Anthony Jameson,et al.  Modelling both the Context and the User , 2001, Personal and Ubiquitous Computing.

[32]  Constantine Stephanidis,et al.  Encapsulating intelligent interactive behaviour in unified user interface artefacts , 2000, Interact. Comput..

[33]  Peter Dolog,et al.  Personalization Services for Adaptive Educational Hypermedia , 2003 .

[34]  Nicola Henze,et al.  Logically Characterizing Adaptive Educational Hypermedia Systems , 2003 .

[35]  Kalina Bontcheva,et al.  Adaptivity, Adaptability, and Reading Behaviour: Some Results from the Evaluation of a Dynamic Hypertext System , 2002, AH.

[36]  Martha E. Crosby,et al.  Introduction to the Special Issue on Empirical Evaluation of User Models and User Modeling Systems , 2004, User Modeling and User-Adapted Interaction.

[37]  Zulaiha Ali Othman,et al.  Evolutionary reinforcement of user models in an adaptive search engine , 2003, Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003).

[38]  Michael Negnevitsky,et al.  Artificial Intelligence: A Guide to Intelligent Systems , 2001 .

[39]  Cristina Conati,et al.  Inferring user goals from personality and behavior in a causal model of user affect , 2003, IUI '03.

[40]  Michael F. McTear,et al.  Intelligent interface technology: from theory to reality? , 2000, Interact. Comput..

[41]  Alfred Kobsa,et al.  Privacy through pseudonymity in user-adaptive systems , 2003, TOIT.

[42]  Marek Czarkowski.  How to give the user a sense of control over the personalization of AH , 2003 .

[43]  Pattie Maes,et al.  Interface agents , 1996, CHI Conference Companion.

[44]  Glenn Shafer,et al.  A Mathematical Theory of Evidence , 2020, A Mathematical Theory of Evidence.

[45]  J. Cid-Sueiro,et al.  Student modeling based on fuzzy inference mechanisms , 2003, The IEEE Region 8 EUROCON 2003. Computer as a Tool..

[46]  Pattie Maes,et al.  Agents that reduce work and information overload , 1994, CACM.