USCSH: An Active Intelligent Assistance System
Artificial Intelligence Review
Decision Support and Expert Systems: Management Support Systems
Decision Support and Expert Systems: Management Support Systems
User Modeling and User-Adapted Interaction
User Modeling and User-Adapted Interaction
Empirical Evaluation of User Models and User-Adapted Systems
User Modeling and User-Adapted Interaction
Using Evaluation to Shape ITS Design: Results and Experiences with SQL-Tutor
User Modeling and User-Adapted Interaction
Fuzzy Inference for Student Diagnosis in Adaptive Educational Hypermedia
SETN '02 Proceedings of the Second Hellenic Conference on AI: Methods and Applications of Artificial Intelligence
Informing the Detection of the Students' Motivational State: An Empirical Study
ITS '02 Proceedings of the 6th International Conference on Intelligent Tutoring Systems
Developing Adaptive Internet Based Courses with the Authoring System NetCoach
Revised Papers from the nternational Workshops OHS-7, SC-3, and AH-3 on Hypermedia: Openness, Structural Awareness, and Adaptivity
Personalizing the Interaction in a Web-based Educational Hypermedia System: the case of INSPIRE
User Modeling and User-Adapted Interaction
Visualising student tracking data to support instructors in web-based distance education
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
Computational Modeling and Analysis of Knowledge Sharing in Collaborative Distance Learning
User Modeling and User-Adapted Interaction
Knowledge Discovery with Genetic Programming for Providing Feedback to Courseware Authors
User Modeling and User-Adapted Interaction
Force Based Visualizations for Instructor Support
ICALT '05 Proceedings of the Fifth IEEE International Conference on Advanced Learning Technologies
Rule Based Expert Systems: The Mycin Experiments of the Stanford Heuristic Programming Project (The Addison-Wesley series in artificial intelligence)
MLTutor: An Application of Machine Learning Algorithms for an Adaptive Web-based Information System
International Journal of Artificial Intelligence in Education
A Collaborative Case Study System for Distance Learning
International Journal of Artificial Intelligence in Education
Using Intelligent Feedback to Improve Sourcing and Integration in Students' Essays
International Journal of Artificial Intelligence in Education
The Logic-ITA in the Classroom: A Medium Scale Experiment
International Journal of Artificial Intelligence in Education
International Journal of Artificial Intelligence in Education
The Evaluation of an Intelligent Teacher Advisor for Web Distance Environments
Proceedings of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology
Evaluating the inference mechanism of adaptive learning systems
UM'03 Proceedings of the 9th international conference on User modeling
Semantic web technologies for the adaptive web
The adaptive web
Usability engineering for the adaptive web
The adaptive web
Dynamic assembly of personalized learning content on the semantic web
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
Authoring adaptive learning designs using IMS LD
AH'06 Proceedings of the 4th international conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Automating semantic annotation to enable learning content adaptation
AH'06 Proceedings of the 4th international conference on Adaptive Hypermedia and Adaptive Web-Based Systems
The effect of adapting feedback generality in ITS
AH'06 Proceedings of the 4th international conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Integrating open user modeling and learning content management for the semantic web
UM'05 Proceedings of the 10th international conference on User Modeling
Using student and group models to support teachers in web-based distance education
UM'05 Proceedings of the 10th international conference on User Modeling
Intelligent assistance for teachers in collaborative e-learning environments
Computers & Education
Proceedings of the 2009 conference on Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling
EDUCATION'10 Proceedings of the 7th WSEAS international conference on Engineering education
Layered evaluation of interactive adaptive systems: framework and formative methods
User Modeling and User-Adapted Interaction
Supporting teachers in adaptive educational systems through predictive models: A proof of concept
Expert Systems with Applications: An International Journal
A qualitative evaluation of evolution of a learning analytics tool
Computers & Education
iLOG: a framework for automatic annotation of learning objects with empirical usage metadata
International Journal of Artificial Intelligence in Education
Course management system adoption and usage: A process theoretic perspective
Computers in Human Behavior
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This work examines the application of user-adapted technologies to address problems experienced in web-based distance education. We have proposed an approach to support distance learning instructors by offering advice that points at problems faced by students and suggests possible activities to address these problems. The paper describes an original feedback generation framework which utilises student, group and class models derived from tracking data in web course management systems, and follows a taxonomy of feedback categories to recognise situations that are brought to the instructors' attention. The results of an empirical study in an online learning course point at benefits of the generated feedback to both instructors and students. Teachers can get a better understanding of their students by knowing what problems they may be facing, when they are behind or ahead of their peers, who can help them and how, and what roles can be assigned in discussion forums. This, in turn, can have a positive effect on students who can receive feedback tailored to their needs and problems. The evaluation study points at issues that can be related in general to planning empirical evaluations of user-adapted systems in realistic web-based learning settings.