Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 8 |
| Since 2017 (last 10 years) | 10 |
| Since 2007 (last 20 years) | 11 |
Descriptor
Source
| Interactive Learning… | 11 |
Author
| Chen, Beyin | 1 |
| Chen, Nian-Shing | 1 |
| Chen, Ru-Shan | 1 |
| Cheng, I-Ling | 1 |
| Cheng, Kun-Hung | 1 |
| Cheng, Ya-Wen | 1 |
| Chi-Tung Chen | 1 |
| Chih-Ming Chen | 1 |
| Emma Mercier | 1 |
| Hou, Huei-Tse | 1 |
| Hsiao-Ting Tsai | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 11 |
| Reports - Research | 11 |
| Tests/Questionnaires | 1 |
Education Level
| Higher Education | 4 |
| Postsecondary Education | 4 |
| Secondary Education | 4 |
| Elementary Education | 2 |
| Grade 11 | 2 |
| Grade 6 | 2 |
| High Schools | 2 |
| Intermediate Grades | 2 |
| Junior High Schools | 2 |
| Middle Schools | 2 |
| Grade 10 | 1 |
| More ▼ | |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
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
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
Kaysi, Feyzi – Interactive Learning Environments, 2023
With the rising influence of technology, students have become heavy users of instant messaging applications. It makes one wonder about students' motivations in using these applications and their usage habits. The aims of this study were to analyze the messaging activities of university students in blended classroom groups, to investigate the…
Descriptors: College Students, Synchronous Communication, Handheld Devices, Student Behavior
Sarika Sharma; Jatinderkumar R. Saini – Interactive Learning Environments, 2024
During the COVID-19 pandemic period of almost two years, online teaching was adopted by Higher Educational Institutes (HEIs) mostly as an emergency measure to maintain endurance in teaching-learning activities in academics. Although a lot of research works have focussed on the teaching-learning strategies deployed during the pandemic period, the…
Descriptors: Online Courses, Electronic Learning, Cognitive Ability, Cognitive Style
James Planey; Taehyun Kim; Emma Mercier; Robb Lindgren – Interactive Learning Environments, 2024
Immersive technologies have the potential to play unique roles in the collaborative problem-solving process. To advance research in these contexts, new methods of documenting group collaboration with technology are necessary. The goal of this paper is to develop and utilize a coding scheme that enables investigation of the nature of collaborative…
Descriptors: Learning Processes, Cooperative Learning, Problem Solving, Computer Simulation
Chi-Tung Chen; Chih-Ming Chen; Hsiao-Ting Tsai – Interactive Learning Environments, 2024
This study utilised the instant semantic analysis and feedback system (ISAFS) to assist learners in the online discussion learning activities of socio-scientific issues (SSIs) and to document their learning process behaviours for behavioural analyses. The aim was to understand the learners' discussion behaviours during the ISAFS assisted learning…
Descriptors: Behavior Patterns, Electronic Learning, Discussion, Instructional Effectiveness
Liu, Min; Li, Chenglu; Pan, Zilong; Pan, Xin – Interactive Learning Environments, 2023
More research is needed on how to best use analytics to support educational decisions and design effective learning environments. This study was to explore and mine the data captured by a digital educational game designed for middle school science to understand learners' behavioral patterns in using the game, and to use evidence-based findings to…
Descriptors: Computer Games, Educational Games, Instructional Design, Instructional Effectiveness
Hua-yang Zhang; Yi-xin Wang; Wei Liu – Interactive Learning Environments, 2024
During the normalization of COVID-19 control measures, more and more high school students are learning through the Internet. With the widespread use of online teaching, students' internet self-efficacy has become an important factor in measuring students' online learning ability. Although researchers have been paying greater attention to the…
Descriptors: High School Students, Internet, Self Efficacy, Influence of Technology
Hwang, Gwo-Haur; Chen, Beyin; Chen, Ru-Shan; Wu, Ting-Ting; Lai, Yu-Ling – Interactive Learning Environments, 2019
Competitive game-based learning has been widely discussed in terms of its positive and negative impacts on learners' learning effectiveness and learning behavior. Although different types of games require different kinds of knowledge to accomplish the task via competition, few studies have considered that knowledge types, such as procedural…
Descriptors: Student Behavior, Adoption (Ideas), Competition, Game Based Learning
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
Cheng, Kun-Hung; Hou, Huei-Tse; Wu, Sheng-Yi – Interactive Learning Environments, 2014
In the social interactions among individuals of learning communities, including those individuals engaged in peer assessment activities, emotion may be a key factor in learning. However, research regarding the emotional response of learners in online peer assessment activities is relatively scarce. Detecting learners' emotion when they make…
Descriptors: Online Courses, Electronic Learning, Peer Evaluation, Emotional Response

Peer reviewed
Direct link
