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Direct linkXia, 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
Sun, Di; Cheng, Gang; Xu, Pengfei; Zheng, Qinhua; Chen, Li – Interactive Learning Environments, 2019
With the development of online learning, LMSs accumulated huge amounts of students' interaction data. Unfortunately, with the support of LMSs data, few researchers put a sight on interaction research in MPOCs. Particularly, comparing interaction activity patterns of different achievement student groups and in different course processes in MPOCs…
Descriptors: Integrated Learning Systems, Online Courses, Educational Technology, Technology Uses in Education
Chen, Bodong; Resendes, Monica; Chai, Ching Sing; Hong, Huang-Yao – Interactive Learning Environments, 2017
As collaborative learning is actualized through evolving dialogues, temporality inevitably matters for the analysis of collaborative learning. This study attempts to uncover sequential patterns that distinguish "productive" threads of knowledge-building discourse. A database of Grade 1-6 knowledge-building discourse was first coded for…
Descriptors: Elementary Education, Knowledge Level, Databases, Coding
Chen, Jingjing; Xu, Jianliang; Tang, Tao; Chen, Rongchao – Interactive Learning Environments, 2017
Interaction is critical for successful teaching and learning in a virtual learning environment (VLE). This paper presents a web-based interaction-aware VLE--WebIntera-classroom--which aims to augment learning interactions by increasing the learner-to-content and learner-to-instructor interactions. We design a ubiquitous interactive interface that…
Descriptors: Virtual Classrooms, Interaction, Web Based Instruction, Computer Interfaces
Chang, Hsin-Yi – Interactive Learning Environments, 2017
Two investigations were conducted in this study. In the first experiment, the effects of two types of interactivity with a computer simulation were compared: experimentation versus observation interactivity. Experimentation interactivity allows students to use simulations to conduct virtual experiments, whereas observation interactivity allows…
Descriptors: Computer Simulation, Interaction, Scaffolding (Teaching Technique), Experiments
Hatun Atas, Amine; Delialioglu, Ömer – Interactive Learning Environments, 2018
The aim of this study was to explore the opinions, perceptions and evaluations of students about their experiences with a question-answer system used on mobile devices in a lecture-based course. Basic qualitative research method was employed in this study to understand how students made sense of their experiences during the instruction. The…
Descriptors: Foreign Countries, College Students, Computer Science Education, Audience Response Systems
