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Yun-Qi Bai; Ya-Qian Xu; Jian-Jun Xiao – Interactive Learning Environments, 2024
This study takes the value-based adoption model and CIE model of the learning process as the theoretical basis and combines them to explore the influencing factors and mechanisms of learners' online interaction and perceived value. Based on the questionnaire survey data of 81 learners' potential factors and their 45,166 real-time behavior data on…
Descriptors: MOOCs, Interaction, Student Behavior, Learning Processes
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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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Ahu Canogullari; Ayhan Kursat Erbas – Interactive Learning Environments, 2024
Technological mediums such as dynamic environments with drag-and-drop features have been considered promising agents in helping students explore and generate conjectures about mathematical concepts. This study investigated the dragging modalities sixth and seventh-grade students use in solving proportional problems in a dynamic geometry…
Descriptors: Problem Solving, Interaction, Computer Simulation, Grade 6
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Mona Tabatabaee-Yazdi – Interactive Learning Environments, 2024
In the era of COVID-19 and right after the announcement of it as a pandemic and threat to humanity by the World Health Organization, most educational activities were globally forced to shut down their traditional teaching/learning activities. This is one of the biggest and most vital changes of educational settings which have led to migration to…
Descriptors: English (Second Language), Second Language Instruction, COVID-19, Pandemics
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Guiqin Liang; Chunsong Jiang; Qiuzhe Ping; Xinyi Jiang – Interactive Learning Environments, 2024
With long-term impact of COVID-19 on education, online interactive live courses have been an effective method to keep learning and teaching from being interrupted, attracting more and more attention due to their synchronous and real-time interaction. However, there is no suitable method for predicting academic performance for students…
Descriptors: Academic Achievement, Prediction, Engineering Education, Online Courses
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Bai, Yun-Qi; Xiao, Jian-Jun – Interactive Learning Environments, 2023
As a representative practice of the theory of connectivism, cMOOCs emphasize learners' content-based connective learning. Effectively promoting learners' content production is the focus of cMOOC research and practice. This study explores whether and how learners' online interactions affect the content production of courses. Based on 45166…
Descriptors: MOOCs, Students, Foreign Countries, Learner Engagement
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Xinru Zhang; Zhongling Pi; Ruili Zhao; Huizhi Bai; Weiping Hu; Xue Wei; Nina Cai; Lingling Zhang – Interactive Learning Environments, 2023
This study aimed to understand the effect of task motivation on online group creative performance and interpersonal interaction. A total of 150 university students were recruited to collaborate online on creativity tasks in dyads. The members' task motivation was manipulated, resulting in three groups that differed in their motivation composition.…
Descriptors: Interpersonal Relationship, Interaction, Computer Mediated Communication, Group Discussion
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Zhang, Jia-Hua; Zou, Liu-cong; Miao, Jia-jia; Zhang, Ye-Xing; Hwang, Gwo-Jen; Zhu, Yue – Interactive Learning Environments, 2020
Extensive studies have been conducted to diagnose and predict students' academic performance by analyzing a large amount of data related to their learning behaviors in a blended learning environment. But there is a lack of research examining how individualized learning interventions could improve students' academic performance in such a learning…
Descriptors: Individualized Instruction, Academic Achievement, Interaction, Blended Learning
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Cheng, Shu-Chen; Hwang, Gwo-Jen; Lai, Chiu-Lin – Interactive Learning Environments, 2020
The present study aims to incorporate a group leadership promotion approach into collaborative learning tasks in the hope of developing students' creativity, problem-solving, and critical thinking. In order to evaluate the effectiveness of the proposed approach, we recruited 59 cross-professional students from a university in northern Taiwan, and…
Descriptors: Group Dynamics, Leadership, Cooperative Learning, Thinking Skills
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Hsu, Ting-Chia – Interactive Learning Environments, 2018
To stimulate classroom interactions, this study employed two different smartphone application modes, providing an additional instant interaction channel in a flipped classroom teaching fundamental computer science concepts. One instant interaction mode provided the students (N = 36) with anonymous feedback in chronological time sequence, while the…
Descriptors: Interaction, Peer Relationship, Homework, Video Technology
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Cheng, Ya-Wen; Wang, Yuping; Cheng, I-Ling; Chen, Nian-Shing – Interactive Learning Environments, 2019
Collaborative learning has long been proved to be a crucial agent for enhancing students' social skills, problem-solving abilities and individual learning performance. Understanding how students move from one phase to another in their collaboration process can inform educators of how best to facilitate such learning. However, this is still an area…
Descriptors: Interaction, Computer Simulation, Mathematics Activities, Computer Games
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Cheng, Hercy N. H.; Liu, Zhi; Sun, Jianwen; Liu, Sanya; Yang, Zongkai – Interactive Learning Environments, 2017
The emergence of massive open online courses not only changes the ecology of higher education, but also facilitates a blending learning paradigm, also known as small private online courses (SPOCs). In order to understand how college students interact with an SPOC platform, this study collects their online behaviors for a semester and adopts a lag…
Descriptors: Online Courses, Higher Education, Blended Learning, Educational Technology
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Hwang, Wu-Yuin; Wu, Sheng-Yi – Interactive Learning Environments, 2014
Learning how to carry out collaborative tasks is critical to the development of a student's capacity for social interaction. In this study, a multi-robot system was designed for students. In three different scenarios, students controlled robots in order to move dice; we then examined their collaborative strategies and their behavioral…
Descriptors: Robotics, Cooperative Learning, Elementary School Students, Cooperation
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Hsiao, Hsien-Sheng; Chang, Cheng-Sian; Lin, Chien-Yu; Hsu, Hsiu-Ling – Interactive Learning Environments, 2015
This study focused on an intelligent robot which was viewed as a language teaching/learning tool to improve children's reading ability, reading interest, and learning behavior. The iRobiQ, with its multimedia contents, was employed to encourage children to read, speak, and answer questions. Fifty-seven pre-kindergarteners participated in this…
Descriptors: Robotics, Artificial Intelligence, Teaching Methods, Reading Ability