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Costley, Jamie; Lange, Christopher – Interactive Learning Environments, 2023
The use of e-learning personalization allows learners to control their learning by choosing which content to process and how to process it. In order to explain the processes that occur when students use e-learning personalization, this study looks at how it interacts with two other variables: sequencing and fading, a scaffolding technique where…
Descriptors: Electronic Learning, Individualized Instruction, Cognitive Processes, Difficulty Level
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Li Xiangming; Xuening Li; Jingshun Zhang – Interactive Learning Environments, 2024
In this paper, we report a 12-week longitudinal study aiming at exploring the students' reading outcome and cognitive load with individual-based print, mobile app of Rain Classroom and collaboration-based social media of WeChat. Administered to 186 postgraduate students in a research university were the weekly reading materials and comprehension…
Descriptors: Outcomes of Education, Reading, Cognitive Processes, Difficulty Level
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Premlatha, K. R.; Dharani, B.; Geetha, T. V. – Interactive Learning Environments, 2016
E-learning allows learners individually to learn "anywhere, anytime" and offers immediate access to specific information. However, learners have different behaviors, learning styles, attitudes, and aptitudes, which affect their learning process, and therefore learning environments need to adapt according to these differences, so as to…
Descriptors: Electronic Learning, Profiles, Automation, Classification