Publication Date
In 2025 | 0 |
Since 2024 | 11 |
Since 2021 (last 5 years) | 33 |
Since 2016 (last 10 years) | 51 |
Since 2006 (last 20 years) | 59 |
Descriptor
Source
Interactive Learning… | 59 |
Author
Gwo-Jen Hwang | 3 |
Hou, Huei-Tse | 3 |
Hwang, Gwo-Jen | 3 |
Chen, Chih-Ming | 2 |
Chen, Chun-Ying | 2 |
Chu, Hui-Chun | 2 |
Costley, Jamie | 2 |
Wu, Sheng-Yi | 2 |
Al-Samarraie, Hosam | 1 |
An, Hyeri | 1 |
An-Chi Lin | 1 |
More ▼ |
Publication Type
Journal Articles | 59 |
Reports - Research | 58 |
Tests/Questionnaires | 3 |
Reports - Evaluative | 1 |
Speeches/Meeting Papers | 1 |
Education Level
Higher Education | 30 |
Postsecondary Education | 29 |
Elementary Education | 18 |
Secondary Education | 13 |
Intermediate Grades | 9 |
Middle Schools | 9 |
Junior High Schools | 7 |
High Schools | 6 |
Grade 4 | 5 |
Grade 5 | 4 |
Grade 6 | 3 |
More ▼ |
Audience
Teachers | 1 |
Location
Taiwan | 22 |
China | 10 |
South Korea | 4 |
Taiwan (Taipei) | 3 |
Turkey | 3 |
Israel | 2 |
Netherlands | 2 |
Saudi Arabia | 2 |
Turkey (Ankara) | 2 |
China (Shanghai) | 1 |
Germany | 1 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Mengning Mu; Man Yuan – Interactive Learning Environments, 2024
The necessity for students to clarify their own cognitive structure and the amount of their knowledge mastery for self-reflection is often ignored in building the student model in the adaptive model, which makes the construction of the cognitive structure pointless. Simultaneously, knowledge forgetting causes students' knowledge level to fall…
Descriptors: Individualized Instruction, Cognitive Processes, Graphs, Cognitive Structures
Nirit Yuviler-Gavish; Omer Muati; Bar Hodya Gabbay – Interactive Learning Environments, 2024
The fourth industrial revolution and the rise of collaborative robots (cobots) in industrial assembly lines are changing the traditional role of human operators in assembly tasks from following a sequence of operations to working together with a cobot and being able to intervene at different stages of the assembly process. Hence, it is important…
Descriptors: Cognitive Processes, Cooperation, Robotics, Manufacturing
Costley, Jamie; Lange, Christopher – Interactive Learning Environments, 2023
The use of e-learning personalization allows learners to control their learning by choosing which content to process and how to process it. In order to explain the processes that occur when students use e-learning personalization, this study looks at how it interacts with two other variables: sequencing and fading, a scaffolding technique where…
Descriptors: Electronic Learning, Individualized Instruction, Cognitive Processes, Difficulty Level
Mutahar Qassem – Interactive Learning Environments, 2024
This article reports on an empirical study on cognitive processes [i.e. (dis) fluency, temporal management of the translation process, and revision] and their relationship with fluency and adequacy. Based on Jakobsen and Schou's (1999) computational model of human translation, the author utilizes keylogging data retrieved from a Translog-II-based…
Descriptors: Cognitive Processes, Language Fluency, Translation, English
Lee, Yuan-Hsuan; Hong, Huang-Yao – Interactive Learning Environments, 2023
This study investigated multimodal multiple text comprehension (MMTC) among forty-eight Taiwanese university students, considering their cognitive and affective characteristics. A randomized trial with pre- and post-tests design was applied. The experiment group received a browser-embedded note-taking device along with epistemic prompting. The…
Descriptors: Foreign Countries, College Students, Reading Comprehension, Individual Differences
Yilmaz, Rabia M. – Interactive Learning Environments, 2023
In this study, the effects of using cueing with a narrator in animations on science learning and cognitive load level of elementary students have been revealed. For this purpose, a quantitative research design is used in the study. 223 third grade students, 124 of them are girls and 99 of them are boys, have formed the sample. The results show…
Descriptors: Cues, Animation, Educational Media, Learning Processes
Kai-Yi Chin; Ching-Sheng Wang – Interactive Learning Environments, 2024
This study developed a VR-based mobile learning system to simulate the natural environment of a geopark for university students to learn geological knowledge. This learning method used a Google cardboard equipped with smartphones, where students can watch stereoscopic scenes and experience virtual environments as if visiting the geopark. In order…
Descriptors: Foreign Countries, Computer Simulation, Handheld Devices, Geology
Wang, Sufen; Du, Ming; Yu, Rong; Wang, Zhijun; Sun, Jingjing; Wang, Ling – Interactive Learning Environments, 2023
It has been controversial whether the matching of learning styles with teaching environment has improved the teaching effects. This paper constructs matching modes by choosing Sternberg's three learning styles (liberal leaning, internal scope and global level) and adopts curriculum comprehensiveness and instructing modes. The research, based on…
Descriptors: Foreign Countries, Cognitive Style, Cognitive Processes, Information Processing
Jon-Chao Hong; Jhen-Ni Ye; Jian-Hong Ye; Ling-Wen Kung – Interactive Learning Environments, 2024
Attentional control theory indicates that concentration is considered an important variable that contributes to learning. There are some devices for players to practice their concentration, but there are few virtual reality (VR) designs which can increase the level of difficulty for students to discipline their mental concentration with…
Descriptors: Attention Control, Predictor Variables, Cognitive Processes, Difficulty Level
Wei-Sheng Wang; Margus Pedaste; Chia-Ju Lin; Hsin-Yu Lee; Yueh-Min Huang; Ting-Ting Wu – Interactive Learning Environments, 2024
Virtual reality (VR) provides a unique platform for interactive learning experiences, enhancing learning, particularly in hands-on courses. However, the visual load of VR and the lack of guidance and interaction from physical teachers or peers can pose challenges for learners in self-regulated learning (SRL) and learning motivation. This study…
Descriptors: Feedback (Response), Self Management, Student Motivation, Computer Simulation
Ibrahim Hakki Bulut; Ömer Delialioglu – Interactive Learning Environments, 2024
The aim of this study is to construct a technology model, named as Online Learning Technology Engagement Model (OLTEM), to enhance our understanding in the adoption of an online learning technology. The study suggests a model covering the theoretical background of underlying motivational processes for technology engagement of students. The sample…
Descriptors: Electronic Learning, Educational Technology, Technology Uses in Education, Foreign Countries
Gwo-Haur Hwang; Beyin Chen; Shih-Pei Chen – Interactive Learning Environments, 2024
This study proposed a game-based flipped teaching approach and applied it to a HTML (HyperText Markup Language) course. We developed two versions of the pre-class content testing, one of which was game-based, using a "looking-through" game, and the other which was traditional, using a multiple-choice test. We conducted a teaching…
Descriptors: Flipped Classroom, Instructional Effectiveness, Teaching Methods, Prior Learning
Ilana Dubovi – Interactive Learning Environments, 2023
As virtual reality (VR) technologies have been increasingly adopted in the educational field, careful consideration and evaluation of instructional modes to support learning with VR are needed. This study focuses on evaluation of two instructional modes: direct interaction and manipulation of the VR learning environment; and the vicarious approach…
Descriptors: Computer Simulation, Simulated Environment, Educational Environment, Interaction
Zhi Liu; Rui Mu; Zongkai Yang; Xian Peng; Sannyuya Liu; Jia Chen – Interactive Learning Environments, 2023
Massive open online courses (MOOCs) provide learners with high-quality learning resources, but learners drop out frequently. Learners' concerns (e.g. the topics in course content or logistics) and cognitive engagement patterns (e.g. "tentative" or "certain") are considered the essential factors affecting learners' course…
Descriptors: MOOCs, Cognitive Processes, Learner Engagement, Discussion Groups
Iskrenovic-Momcilovic, Olivera – Interactive Learning Environments, 2023
The aim of the research is to examine the contribution of mobile application using in botanical fieldwork to the quality and durability of knowledge of the subject Nature and society compared to multimedia teaching in the fourth grade of primary school. The study involved 120 students, divided into two groups: control group, which taught on the…
Descriptors: Elementary School Students, Control Groups, Grade 4, Handheld Devices