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Xia, Xiaona – Interactive Learning Environments, 2023
Interactive learning environments can generate massive learning behavior data and the support of learning behavior big data can ensure the completeness of data analysis and robustness of relationship verification. In this study, learning behaviors are divided into training set and testing set, BP neural network and recurrent Elman network are…
Descriptors: Interaction, Intervention, Student Behavior, Educational Environment
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Markus H. Hefter; Kirsten Berthold – Interactive Learning Environments, 2024
Numerous effective digital learning environments have evolved over the last few years built around video examples that follow an introduction phase and are often supplemented by prompts. The learning mechanisms behind these components remain subject to open questions, though. We thus conducted an online experiment with university students (N =…
Descriptors: Electronic Learning, Video Technology, Cues, College Students
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Saadati, Zohreh; Zeki, Canan Perkan; Barenji, Reza Vatankhah – Interactive Learning Environments, 2023
The study of online higher education learning and academic achievement has increasingly emphasized self-regulated learning (SRL). Few studies so far have investigated the blockchain-based learning management system (LMS) and adaptive SRL intervention in online higher education. This paper aimed to develop a blockchain-enabled LMS as a…
Descriptors: Graduate Students, Metacognition, Programming, Technology
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Wong, Lung-Hsiang; Chai, Ching Sing; Aw, Guat Poh; King, Ronnel B. – Interactive Learning Environments, 2015
This paper reports a design-based research (DBR) cycle of MyCLOUD (My Chinese ubiquitOUs learning Days). MyCLOUD is a seamless language learning model that addresses identified limitations of conventional Chinese language teaching, such as the decontextualized and unauthentic learning processes that usually hinder reflection and deep learning.…
Descriptors: Second Language Learning, Chinese, Second Language Instruction, Learning Processes