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Baker, Ryan; Ma, Wei; Zhao, Yuxin; Wang, Shengni; Ma, Zhenjun – International Educational Data Mining Society, 2020
With the development of personalized learning in technological platforms, more data and information are given to instructors on what contents are appropriate for a learner's next step, with an aim of helping them support their students in navigating an optimized learning path that can promote an enhanced learning outcome. In this study, we…
Descriptors: Individualized Instruction, Electronic Learning, Learning Theories, Cognitive Development
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Wang, Minjuan; Shen, Ruimin – British Journal of Educational Technology, 2012
The demands of an increasingly knowledge-based society and the dramatic advances in mobile phone technology are combining to spur the growth of mobile learning (mLearning). However, for mLearning to attain its full potential, it is essential to develop pedagogy and instructional design tailored to the needs of this new learning environment. At…
Descriptors: Electronic Learning, Learning Theories, Instructional Design, Guidelines
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Kim, Min Kyu – Educational Technology Research and Development, 2012
It is generally accepted that the cognitive development for a wide range of students can be improved through adaptive instruction-learning environments optimized to suit individual needs (e.g., Cronbach, Am Psychol 12:671-684, 1957; Lee and Park, in Handbook of research for educational communications and technology, Taylor & Francis Group,…
Descriptors: Expertise, Problem Solving, Cognitive Development, Student Evaluation