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Direct linkHafidi, Mohamed; Bensebaa, Tahar – International Journal of Information and Communication Technology Education, 2014
Several adaptive and intelligent tutoring systems (AITS) have been developed with different variables. These variables were the cognitive traits, cognitive styles, and learning behavior. However, these systems neglect the importance of the learner's multiple intelligences, the learner's skill level and the learner's feedback when implementing…
Descriptors: Intelligent Tutoring Systems, Models, Foreign Countries, Pretests Posttests
Hwang, Gwo-Haur; Chen, Beyin; Huang, Cin-Wei – Educational Technology & Society, 2016
In recent years, with the gradual increase in the importance of professional certificates, improvement in certification tutoring systems has become more important. In this study, we have developed a personalized ubiquitous multi-device certification tutoring system (PUMDCTS) based on "Bloom's Taxonomy of Educational Objectives," and…
Descriptors: Electronic Learning, Educational Technology, Individualized Instruction, Certification
Stott, Angela; Case, Jennifer M. – African Journal of Research in Mathematics, Science and Technology Education, 2014
Electronic tutors able to respond appropriately to a user's input have been shown to be effective in improving learning in a number of contexts. This study extends this research into the context of conceptual change during in-service science teacher workshops. Quantitative data were collected from 1,049 South African grade 12 physical sciences…
Descriptors: Case Studies, Inservice Teacher Education, Science Teachers, Statistical Analysis
E-Learning Personalization Based on Hybrid Recommendation Strategy and Learning Style Identification
Klasnja-Milicevic, Aleksandra; Vesin, Boban; Ivanovic, Mirjana; Budimac, Zoran – Computers & Education, 2011
Personalized learning occurs when e-learning systems make deliberate efforts to design educational experiences that fit the needs, goals, talents, and interests of their learners. Researchers had recently begun to investigate various techniques to help teachers improve e-learning systems. In this paper, we describe a recommendation module of a…
Descriptors: Electronic Learning, Experimental Groups, Control Groups, Cognitive Style
Hung, Yen-Chu – Journal of Educational Computing Research, 2012
The instructional value of web-based education systems has been an important area of research in information systems education. This study investigates the effect of various teaching methods on program design learning for students with specific learning styles in web-based education systems. The study takes first-year Computer Science and…
Descriptors: Foreign Countries, Control Groups, Experimental Groups, Programming
Zhao, Guopeng; Ailiya; Shen, Zhiqi – Educational Technology & Society, 2012
Teachable agent is a type of pedagogical agent which instantiates Learning-by-Teaching theory through simulating a "naive" learner in order to motivate students to teach it. This paper discusses the limitation of existing teachable agents and incorporates intrinsic motivation to the agent model to enable teachable agents with initiative…
Descriptors: Foreign Countries, Instructional Design, Artificial Intelligence, Electronic Learning
Hicks, Maryruth Wilks – ProQuest LLC, 2010
The purpose of this study was to examine the effectiveness of universally designed (UD) instruction on strategic learning in an online, interactive learning environment (ILE). The research focused on the premise that the customizable, media-based framework of UD instruction might influence diverse online learning strategies. This study…
Descriptors: Electronic Learning, Experimental Groups, Undergraduate Students, Time Management
