Publication Date
In 2025 | 0 |
Since 2024 | 4 |
Since 2021 (last 5 years) | 7 |
Since 2016 (last 10 years) | 7 |
Since 2006 (last 20 years) | 8 |
Descriptor
Source
Interactive Learning… | 8 |
Author
Aammou, Souhaib | 1 |
An-Chi Lin | 1 |
Asselman, Amal | 1 |
Bing Mei | 1 |
Chang, Kuo-En | 1 |
Chen, Sherry Y. | 1 |
Chi-Tung Chen | 1 |
Chih-Ming Chen | 1 |
Chou, Yi-Shiuan | 1 |
Gwo-Jen Hwang | 1 |
Hou, Huei-Tse | 1 |
More ▼ |
Publication Type
Journal Articles | 8 |
Reports - Research | 7 |
Reports - Evaluative | 1 |
Education Level
High Schools | 8 |
Secondary Education | 7 |
Grade 11 | 2 |
Junior High Schools | 2 |
Middle Schools | 2 |
Elementary Education | 1 |
Grade 10 | 1 |
Grade 7 | 1 |
Grade 9 | 1 |
Audience
Location
Taiwan | 3 |
China | 2 |
Taiwan (Taipei) | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Yang, Tzu-Chi; Chen, Sherry Y. – Interactive Learning Environments, 2023
Individual differences exist among learners. Among various individual differences, cognitive styles can strongly predict learners' learning behavior. Therefore, cognitive styles are essential for the design of online learning. There are a variety of cognitive style dimensions and overlaps exist among these dimensions. In particular, Witkin's field…
Descriptors: Student Behavior, Educational Technology, Electronic Learning, Cognitive Style
Asselman, Amal; Khaldi, Mohamed; Aammou, Souhaib – Interactive Learning Environments, 2023
Performance Factors Analysis (PFA) is considered one of the most important Knowledge Tracing (KT) approaches used for constructing adaptive educational hypermedia systems. It has shown a high prediction accuracy against many other KT approaches. While, the desire to estimate more accurately the student level leads researchers to enhance PFA by…
Descriptors: Algorithms, Artificial Intelligence, Factor Analysis, Student Behavior
Shuxia Yang; Rui Wang; Bing Mei – Interactive Learning Environments, 2024
Given the paucity of research on mobile-assisted language learning (MALL) in secondary schools in China, this retrospective case study explored the psychological processes underlying the non-voluntary MALL experiences of Chinese secondary school students during a lockdown to contain the spread of COVID-19. Drawing on prior technology acceptance…
Descriptors: Foreign Countries, Student Attitudes, Telecommunications, Handheld Devices
Gwo-Jen Hwang; An-Chi Lin; Shao-Chen Chang – Interactive Learning Environments, 2024
Digital games have been used in various disciplines to enhance students' learning interest and effectiveness through the gaming contexts. However, most of the digital educational games use multiple-choice questions to confirm students' learning status, implying the challenge of understanding the actual learning status of students. Also, the gaming…
Descriptors: Game Based Learning, Academic Achievement, Student Behavior, Horticulture
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
Chou, Yi-Shiuan; Hou, Huei-Tse; Chang, Kuo-En; Su, Chien-Lun – Interactive Learning Environments, 2023
This study proposed a cognitive-based game mechanism based on the revised Bloom's taxonomy of cognitive processing dimensions. Moreover, a mobile Chinese history educational game, Void Broken: The Qing Dynasty, was developed based on the cognitive-based game mechanism to promote learners' cognitive thinking in history learning. This empirical…
Descriptors: Cognitive Processes, Handheld Devices, Electronic Learning, Thinking Skills
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
Manlove, Sarah; Lazonder, Ard W.; de Jong, Ton – Interactive Learning Environments, 2009
Scaffolds to plan, monitor, and evaluate learning within technology-enhanced inquiry and modeling environments are often little used by students. One reason may be that students frequently work collaboratively in these settings and their group work may interfere with the use of regulative supports. This research compared the use of regulative…
Descriptors: Learning Strategies, Educational Technology, Scaffolding (Teaching Technique), High School Students