Personalized Content Sequencing Based on Choquet Fuzzy Integral and Item Response Theory
Personalization of learning path is an important research issue in current E-learning systems because learners differ from various aspects such as knowledge level, experience, and ability.Therefore, most personalized systems focus on learner preferences, and browsing behavior for providing adaptive learning path guidance.However, these systems usually neglect to consider the dependence among the learning concept difficulty and the learner model.Generally, a learning concept has varied difficulty for learners with different levels of knowledge.Considered the importance of learning path with learning concepts difficulty that are highly matched to the leiarners knowledge and ability, this paper proposes a system based on Choquet Fuzzy Integral and Item Response Theory.This system recommends appropriate learning contents to learner during the learning process.
E-learning difficulty level Choquet fiizxy integral learning path Item response tlieoiy
Ahmad Kardan Roya Hosseini
Department of Computer Engineering and IT Amirkabir University of Technology Tehran,Iran Department of Computer ngineering and IT Amirkabir University of Technology Tehran,Iran
国际会议
成都
英文
134-138
2011-07-15（万方平台首次上网日期，不代表论文的发表时间）