Personalized e-learning system using Item Response Theory

By Chih-Ming Chen, Hahn-Ming Lee, Ya-Hui Chen. Comput. Educ., 2005

529 citations recorded by the source corpus.

Subfields: Computer Science Applications, Information Systems

View Paper: https://www.semanticscholar.org/paper/b2e0424409716f82d82167655ec81443d5c012d5

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Citations in the corpus

A systematic literature review of personalized learning terms (2020, background): “For example, while Chen, Lee and Chen (2005) proposed a personalized system that provides learning paths (Nabizadeh, Gonçalves, Gama, Jorge and Rafsanjani, 2020) that can be adapted to various levels of difficulty of course materials (Zou and Xie, 2018) and various abilities of learners (p. 239).”
Intelligent web-based learning system with personalized learning path guidance (2008, background): “Based on the results of pre-test, the proposed genetic-based personalized e-learning system can conduct personalized curriculum sequencing through simultaneously considering courseware difficulty level and the concept continuity of learning paths to support web-based learning.”
Context-Aware Recommender Systems for Learning: A Survey and Future Challenges (2012, background): “The knowledge level of the learner is often used to personalize recommendations, such as her knowledge of course concepts [21] or past academic grades [42].”
Learners' acceptance of e-learning in South Korea: Theories and results (2009, background): “Playfulness is a complex variable which includes individual’s pleasure, psychological stimulation, and interests (Csikszentmihalyi, 1990). Moon and Kim (2001) view playfulness as a situational characteristic of the interaction between an individual and the situation. Three dimensions of perceived pl”
Surveying instructor and learner attitudes toward e-learning (2007, methodology): “Based on Rosenberg’s approach, e-learning oﬀers more opportunities for improving problem solving capabilities, enhancing high order thinking skills, and achieving learning eﬀectiveness (Chen, Lee, & Chen, 2005; Liaw, 2004).”
Intelligent tutoring systems and learning outcomes: A meta-analysis (2014, methodology): “However, we do categorize as an ITS, and have included in our meta-analysis, an adaptive instructional system that uses item response theory to model student knowledge on multiple dimensions (C. M. Chen, Lee, & Chen, 2005).”