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Ning Ma; Yan-Ling Zhang; Chun-Ping Liu; Lei Du – Interactive Learning Environments, 2024
Online asynchronous interaction is considered a core part of online teacher training, which has an important impact on learners' learning experience and learning outcomes. How to provide immediate and effective feedback through technical support based on the learners' interactive content and enhance interactive connection has become a key issue in…
Descriptors: Foreign Countries, Teacher Education, Online Courses, Asynchronous Communication
Bo Jiang; Yuang Wei; Meijun Gu; Chengjiu Yin – Interactive Learning Environments, 2024
The purpose of this study is to explore students' backtracking patterns in using a digital textbook, reveal the relationship between backtracking behaviors and academic performance as well as learning styles. This study was carried out for 2 semesters on 102 university students and they are required to use a digital textbook system called DITeL to…
Descriptors: Student Behavior, Electronic Learning, Electronic Publishing, Textbooks
Li, Chun; Mu, Xiaolin; Tan, Yuanyuan; Gu, Chuanhua; Hu, Bi Ying; Fan, Cuiying – Interactive Learning Environments, 2023
Much research on brainstorming has found that the power of a team can stimulate individual creativity, and that this influence is more prominent in computer-mediated online interactions. However, creativity appears to depend on the outcome of combining certain environmental factors with certain kinds of Individual characteristics. Two experiments…
Descriptors: Brainstorming, Cues, Environmental Influences, Creativity
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
The Determinants of Impact of Personal Traits on Computational Thinking with Programming Instruction
Yuan-Chen Liu; Tzu-Hua Huang; Chia-Ling Sung – Interactive Learning Environments, 2023
Computational thinking is an important skill in computer science since the 1960s, and it is closely related to problem solving. Almost all research related to computational thinking mentions problem solving. Although some research has been conducted on computational thinking, few studies examined the impact of personal traits on students'…
Descriptors: Personality Traits, Computation, Thinking Skills, Programming
Sun, Fu-Rong; Hu, Hong-Zhen; Wan, Rong-Gen; Fu, Xiao; Wu, Shu-Jing – Interactive Learning Environments, 2022
To determine the impact of cognitive style on change of concept of engagement in the flipped classroom, a sequential analysis from the perspective of Bloom's Taxonomy was conducted to establish if significant differences existed between the learning achievements and engagement of students with different cognitive styles. The participants were…
Descriptors: Learning Analytics, Preservice Teachers, Educational Change, Learner Engagement
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
Lertnattee, Verayuth; Wangwattana, Bunyapa – Interactive Learning Environments, 2021
In the academic year of 2019, the designed personalized learning and assessment was applied to the fourth-year pharmacy students who registered for the Pharmacognosy Laboratory in the Faculty of Pharmacy, Silpakorn University. We allowed all students to do the experiment as they preferred. We created a personalized assessment that allowed the…
Descriptors: Individualized Instruction, Pharmaceutical Education, Laboratory Equipment, Identification
Wan, Haipeng; Yu, Shengquan – Interactive Learning Environments, 2023
Most online learning researchers use resource recommendation and retrieve based on learning performance and learning style to provide accurate learning resources, but it is a closed and passive adaptive way. Learners always do not know the recommendation rationale and just receive the result-oriented recommended resources without having a chance…
Descriptors: Electronic Learning, Intelligent Tutoring Systems, Artificial Intelligence, Cognitive Mapping
Li, Huiyong; Majumdar, Rwitajit; Chen, Mei-Rong Alice; Yang, Yuanyuan; Ogata, Hiroaki – Interactive Learning Environments, 2023
Self-directed learning (SDL) ability, its usefulness in higher education and life-long learning have been highlighted in previous literature. However, there has been much less understanding of the effects of SDL ability in the school settings, specifically the effects on learners' SDL behaviors and processes. To address this limitation, this study…
Descriptors: Junior High School Students, Independent Study, Student Behavior, Reading Achievement
Chen, Mei-Rong Alice; Hwang, Gwo-Jen – Interactive Learning Environments, 2022
English speaking is a challenging learning objective for EFL (English as Foreign Language) learners owing to the lack of practicing environments. In this study, Interactive Spherical Video-based Virtual Reality (ISVVR) was adopted as the learning mode to provide realistic sociocultural contexts for English speaking. In addition, an experiment was…
Descriptors: English (Second Language), Educational Technology, Computer Simulation, Program Effectiveness
Chen, Chia-Chen; Huang, Po-Hao – Interactive Learning Environments, 2023
In order to explore whether STEAM education in combination with elementary school curriculums can help students' learning performance, this study developed a digital learning system. This digital learning system combined STEAM concepts with elements of gamebased learning. This study developed the curriculum content based on the unit of…
Descriptors: Art Education, STEM Education, Electronic Learning, Handheld Devices
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
Cheng-Yueh Jao; Ching-Huei Chen; Hui-Chin Yeh – Interactive Learning Environments, 2024
As intercultural learning has been increasingly regarded as essential in higher education, researchers have promoted it through integration of digital storytelling into cultural exchange activities. However, most studies have focused on the utilization of only one language whereas the effects of multilingual digital storytelling on students'…
Descriptors: Story Telling, Cross Cultural Training, Digital Literacy, Mass Media Use
Chang-Tik, Chan – Interactive Learning Environments, 2018
In this research, a survey method utilising questionnaires and focus group interviews was employed to determine correlations between students' learning styles and each of the presences in the CoI Framework across disciplines as well as students' blended learning experience. To this end, the linear regression model was the statistical approach used…
Descriptors: Cognitive Style, Communities of Practice, Interdisciplinary Approach, Blended Learning