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Showing 1 to 15 of 31 results Save | Export
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Cheng, Chao-Yang; Chen, Jim-Ming; Chen, Sherry Y. – Interactive Learning Environments, 2023
Online tests offer many advantages but they still belong to assessment, which may make learners have anxiety. Thus, students may experience certain emotion. Academic emotion is a branch of emotion and has great effects on student learning. Such effects can be associated with individual differences, especially prior knowledge. To this end, this…
Descriptors: College Students, Prior Learning, Academic Achievement, Emotional Response
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van Riesen, Siswa A. N.; Gijlers, Hannie; Anjewierden, Anjo A.; de Jong, Ton – Interactive Learning Environments, 2022
Inquiry learning is an effective learning approach if learners are properly guided. Its effectiveness depends on learners' prior knowledge, the domain, and their relationship. In a previous study we developed an Experiment Design Tool (EDT) guiding learners in designing experiments. The EDT significantly benefited low prior knowledge learners. For…
Descriptors: Prior Learning, Inquiry, Active Learning, Research Design
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Cai, Huiying; Gu, Xiaoqing – Interactive Learning Environments, 2022
This study examined the effects of shared representational guidance (collaborative textural representative tool vs. collaborative graphical representative tool; TR vs. GR) and prior knowledge (low vs. high; LPK vs. HPK) on different levels of individuals' understanding of specific-domain knowledge after collaborative problem solving (CPS). A total…
Descriptors: Foreign Countries, Education Majors, College Students, Knowledge Level
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Wang, Jingyun; Shimada, Atsushi; Oi, Misato; Ogata, Hiroaki; Tabata, Yoshiyuki – Interactive Learning Environments, 2023
This study presents an ontology-based visualization support system for e-book learners which promotes both meaningful receptive learning and meaningful discovery learning. To examine the system effectiveness, two learning modes are used: (a) reception comparison mode, where at the outset learners are shown complete versions of expert-generated…
Descriptors: Visualization, Electronic Publishing, Books, Electronic Learning
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Zheng, Juan; Xing, Wanli; Huang, Xudong; Li, Shan; Chen, Guanhua; Xie, Charles – Interactive Learning Environments, 2023
Research on self-regulated learning (SRL) in engineering design is growing. While SRL is an effective way of learning, however, not all learners can regulate themselves successfully. There is a lack of research regarding how student characteristics, such as science knowledge and design knowledge, interact with SRL. Adapting the SRL theory in the…
Descriptors: Engineering Education, Achievement Gains, Knowledge Level, Learning Strategies
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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
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Sherry Y. Chen; Chia-Yi Tseng; Chao-Yang Cheng – Interactive Learning Environments, 2023
This study proposed a three-tier test to help students learn English grammar. To reduce students' anxiety, game-based learning was incorporated into the three-tier test, where personalization was also implemented to accommodate students' different needs. More specifically, we developed a Personalized Entertaining Three-Tier Test (PET3), which…
Descriptors: English (Second Language), Language Tests, Grammar, Game Based Learning
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Zhang, Lishan; Pan, Mengqi; Yu, Shengquan; Chen, Ling; Zhang, Jing – Interactive Learning Environments, 2023
This paper introduces a system that supports student-centered online one-to-one tutoring and evaluates the practical value of the system by running an experiment with 64 experienced mathematics teachers and 810 students in Grade 7. The experiment lasted for 50 days. A comprehensive evaluation was performed using students' academic performance…
Descriptors: Mathematics Teachers, Grade 7, Middle School Students, Middle School Teachers
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Thomas K. F. Chiu – Interactive Learning Environments, 2024
Generative artificial intelligence (GenAI) tools have become increasingly accessible and have impacted school education in numerous ways. However, most of the discussions occur in higher education. In schools, teachers' perspectives are crucial for making sense of innovative technologies. Accordingly, this qualitative study aims to investigate how…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Standards
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Jung, Jaewon; Shin, Yoonhee; Zumbach, Joerg – Interactive Learning Environments, 2021
This study investigated the effects of pre-training types on the cognitive load, collaborative knowledge construction and level of learning in a computer-supported collaborative learning environment. Pre-training was provided to help learners optimise their cognitive load, build accurate shared-knowledge and achieve successful deep learning. The…
Descriptors: Cognitive Processes, Difficulty Level, Knowledge Level, Cooperative Learning
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Rezaei, Mohammadsadegh; Bobarshad, Hossein; Badie, Kambiz – Interactive Learning Environments, 2021
The development of information technology and social networks has created new opportunities to access lifelong learning in the form of informal learning. In an informal learning environment, learning takes place via Communities of Practice (CoP). The learning success factors in online CoPs are learners' similarity in learning interests and…
Descriptors: Prediction, Electronic Learning, Communities of Practice, Information Technology
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Chen, Jyun-Chen – Interactive Learning Environments, 2022
"Learning by doing" involves completing a practice activity through the method of inquiry. This study combined the predict-observe-explain (POE) inquiry method and hands-on doing processes to develop a cycle-mode POED (predict-observe-explain-do) model with an e-learning system to help students complete a practice activity using…
Descriptors: Inquiry, Prediction, Observation, Hands on Science
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Pinkard, Nichole; Martin, C. K.; Erete, S. – Interactive Learning Environments, 2020
Decisions about participation in computer science and engineering opportunities are often made prior to high school, and these decisions are frequently mediated by prior experience, interest, and sense of fit with community. In this article, we investigate how the Digital Youth Divas, an out-of-school program for middle school girls from…
Descriptors: Middle School Students, Females, Computation, Thinking Skills
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Rustam Shadiev; Suping Yi; Fahriye Altinay – Interactive Learning Environments, 2024
The present study employed virtual reality technology to develop online learning environments that facilitated student cultural and self-directed learning. Junior high school participants engaged in creating virtual tours, sharing them with peers online, and implementing self-directed learning strategies. A one-group posttest-only design was…
Descriptors: Independent Study, Computer Simulation, Tourism, Technology Uses in Education
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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
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