Proceedings ArticleDOI
Context-aware authoring and presentation from open e-learning repository
Ganesh Venkataraman,Chellam Srinivasan,Arunkumar Ravichandran,Susan Elias,Lakshimi Prabha Ramesh +4 more
- pp 301-307
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TLDR
This paper proposes an efficient context-aware open e-learning environment to do the same to author and deliver courses for diverse learners with varied backgrounds dynamically.Abstract:
With the explosive growth in the World Wide Web over the past few decades, a predominant part of the pedagogical arena is making a transition from stereotype textbook learning to massive open online learning. Efforts are being made to develop and foster crowd sourced massive open repositories of learning objects, which can be tapped to author courses for diverse learners with varied backgrounds dynamically. Developing systems to author and deliver such courses has been of rising importance to contemporary researchers and this paper proposes an efficient context-aware open e-learning environment to do the same. The learning objects having high aptness to the particular course and high content-based predicted rating pertaining to the particular learner's preferences are picked from the open repository and the course structure is modeled using communicating dynamic Petri nets. Ratings and feedback from the user are obtained during presentation, based on which the course delivery is made adaptive. Rating prediction through Collaborative filtering is used for this purpose. The ratings are also used to implicitly learn the learner's preferences and to establish an aptness score for each learning object.read more
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Posted Content
A Survey on Artificial Intelligence and Data Mining for MOOCs.
Simon Fauvel,Han Yu +1 more
TL;DR: The state-of-the-art artificial intelligence and data mining research applied to MOOCs are reviewed, emphasising the use of AI and DM tools and techniques to improve student engagement, learning outcomes, and the understanding of the MOOC ecosystem.
Book ChapterDOI
Artificial Intelligence in E-Learning Systems
TL;DR: In this paper , the authors describe some technologies regarding artificial intelligence that can help teacher and student and can improve student engagement, learning outcomes, teaching abilities, assessment of the quality of learning materials, content creation.
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Proceedings Article
Combining collaborative filtering with personal agents for better recommendations
Nathaniel Good,J. Ben Schafer,Joseph A. Konstan,Albert T. Borchers,Badrul Sarwar,Jon Herlocker,John Riedl +6 more
TL;DR: This paper shows that a CF framework can be used to combine personal IF agents and the opinions of a community of users to produce better recommendations than either agents or users can produce alone.
Journal ArticleDOI
E-Learning personalization based on hybrid recommendation strategy and learning style identification
TL;DR: A recommendation module of a programming tutoring system - Protus, which can automatically adapt to the interests and knowledge levels of learners, is described, which shows suitability of using this recommendation model, in order to suggest online learning activities to learners based on their learning style, knowledge and preferences.