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Artur Strzelecki – Interactive Learning Environments, 2024
ChatGPT is an AI tool that assisted in writing, learning, solving assessments and could do so in a conversational way. The purpose of the study was to develop a model that examined the predictors of adoption and use of ChatGPT among higher education students. The proposed model was based on a previous theory of technology adoption. Seven…
Descriptors: Computer Software, Artificial Intelligence, Synchronous Communication, Technology Uses in Education
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
Lu-Ho Hsia; Gwo-Jen Hwang; Jan-Pan Hwang – Interactive Learning Environments, 2024
To improve students' sports skills performance, it is important to engage them in reflective practice. However, in physical classes, a teacher generally needs to face a number of students, and hence it is almost impossible to provide detailed guidance or feedback to individual students. Scholars have been trying to use Artificial Intelligence (AI)…
Descriptors: Artificial Intelligence, Technology Uses in Education, Physical Education, Feedback (Response)
Ding, Xinyi; Larson, Eric C.; Doyle, Amanda; Donahoo, Kevin; Rajgopal, Radhika; Bing, Eric – Interactive Learning Environments, 2021
In this paper, we develop a context-aware, tablet-based learning module for adult education. Specifically, we focus on adult education in healthcare-teaching learners to perform a medical screening procedure. Based upon how learners navigate through the learning module (e.g. swipe-speed and click duration, among others), we use machine learning to…
Descriptors: Handheld Devices, Educational Technology, Navigation (Information Systems), Learning Modules
Ge, Zi-Gang – Interactive Learning Environments, 2021
The present study aims to explore the impact of mismatch between learners' media preference and media assigned to them on their learning performance. The participants were 214 adult Chinese e-learners enrolled for an English course, and were assigned to 6 groups based on their media preferences and the media assigned to them. A 2 × 3…
Descriptors: Educational Media, Multimedia Materials, Learning Modalities, Cognitive Style
Hsu, Chung-Yuan; Chiou, Guo-Li; Tsai, Meng-Jung – Interactive Learning Environments, 2019
This study was to investigate the role of students' game self-efficacy in their game performance as well as in their visual behavior distributions and transfer patterns during their gameplay. A total of 48 university students were recruited for participating in a gameplaying task while wearing with an ASL Mobile Eye eye-tracker. After the…
Descriptors: Game Based Learning, Self Efficacy, Eye Movements, Attention
Yeh, Shih-Ching; Hwang, Wu-Yuin; Wang, Jin-Liang; Zhan, Shi-Yi – Interactive Learning Environments, 2013
This study intends to investigate how multi-symbolic representations (text, digits, and colors) could effectively enhance the completion of co-located/distant collaborative work in a virtual reality context. Participants' perceptions and behaviors were also studied. A haptics-enhanced virtual reality task was developed to conduct…
Descriptors: Computer Simulation, Cooperation, Electronic Learning, Visual Aids
Huang, Yueh-Min; Hwang, Jan-Pan; Chen, Sherry Y. – Interactive Learning Environments, 2016
Cognitive styles have been regarded as a crucial factor that affects the effectiveness of web-based learning (WBL). Previous research indicated that educational settings that match with students' cognitive styles can enhance students' learning performance, which is, however, linked to their emotion. Various physiological signals can be applied to…
Descriptors: Web Based Instruction, Cognitive Style, Educational Environment, Emotional Response
Hrastinski, Stefan; Edman, Anneli; Andersson, Fredrik; Kawnine, Tanvir; Soames, Carol-Ann – Interactive Learning Environments, 2014
The aim of this study is to describe and explore how instant messaging (IM) can be used to support informal math coaching. We have studied two projects where university students use IM to coach K-12 students in mathematics. The coaches were interviewed with a focus on how informal coaching works by examining coaching challenges, how coaching can…
Descriptors: Computer Mediated Communication, Educational Technology, Coaching (Performance), Mathematics Instruction

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