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Weijia Wan – Interactive Learning Environments, 2024
The paper investigates the level of development of a creative mindset in the training of music education professionals. The research is based on the experimental method which examines the level of creativity of students before and upon completion of the developed training program focusing on development of the creative thinking using cutting-edge…
Descriptors: Creative Thinking, Skill Development, Music Education, College Freshmen
Cheng-Yu Hsieh; Marco Marelli; Kathleen Rastle – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2024
Most printed Chinese words are compounds built from the combination of meaningful characters. Yet, there is a poor understanding of how individual characters contribute to the recognition of compounds. Using a megastudy of Chinese word recognition (Tse et al., 2017), we examined how the lexical decision of existing and novel Chinese compounds was…
Descriptors: Semantics, Orthographic Symbols, Chinese, Reading Processes
Yung-Hsiang Hu – Education and Information Technologies, 2025
Flipped classroom pedagogy, primarily focused on in-person classroom settings, emphasizes pre-class independent learning where students engage asynchronously with online materials and self-assessments. However, traditional pre-class learning methods, such as watching pre-recorded instructional videos and completing multiple-choice…
Descriptors: Asynchronous Communication, Learning Processes, Flipped Classroom, Artificial Intelligence
Chih-Hung Lin; Dadan Sumardani – Interactive Learning Environments, 2024
Virtual Reality (VR) has been widely adopted in educational research; however, its implementation in the classroom is still not as well known as in the research field. In other words, there is a gap between researchers and practitioners regarding the pedagogical issue. This study aimed to explore how VR could be applied in science classrooms using…
Descriptors: Computer Simulation, Teaching Methods, Science Education, Authentic Learning
Yu-Min Wang; Chung-Lun Wei; Hsin-Hui Lin; Sheng-Ching Wang; Yi-Shun Wang – Interactive Learning Environments, 2024
As artificial intelligence (AI) technology rapidly develops and is deployed, students increasingly need to understand and learn AI-related skills for future employment. This study investigates how students' AI learning anxiety and AI job replacement anxiety affect intrinsic/extrinsic learning motivations and subsequent AI learning intention. The…
Descriptors: Learning Processes, Artificial Intelligence, Anxiety, Employment Opportunities
Min Ching Chen; Tak-Wai Chan; Yu Hsin Chen – Interactive Technology and Smart Education, 2024
Purpose: Podcasting is a new mobile technology application for language learning. Drawing upon the stimulus-organism-response model and the interest driven creator (IDC) theory from e-learning, this study aims to develop and test an integrative conceptual framework. This study investigates contextual and environmental stimuli effects (content…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Audio Equipment
Gülfem Gürses; Aysenur I?nceelli – Turkish Online Journal of Educational Technology - TOJET, 2024
ICAP is a framework that classifies learning processes based on students' explicit behaviors. The framework is developed for testing the hypothesis that interactive exercises are better than constructive exercises, and active exercises are better than the passive exercises for higher cognitive engagement and better learning outcomes. The ICAP…
Descriptors: Learning Processes, Learning Theories, Classification, Active Learning
Yun-Fang Tu; Gwo-Jen Hwang – Interactive Learning Environments, 2024
The present study employed the draw-a-picture technique and epistemic network analysis (ENA) to reveal university students' viewpoints on ChatGPT-supported learning, as well as the conceptions, roles, and educational objectives of ChatGPT-supported learning among university students with different learning attitudes. The results showed that…
Descriptors: College Students, Student Attitudes, Knowledge Level, Artificial Intelligence
Pei-Yu Chen; Yuan-Chen Liu – Journal of Baltic Science Education, 2024
This study explored the integration of neural networks and artificial intelligence in image recognition for object identification. The aim was to enhance students' learning experiences through a "Learning by Teaching" approach, in which students act as instructors to train AI robots in recognizing objects. This research specifically…
Descriptors: Artificial Intelligence, Robotics, Educational Technology, Technology Uses in Education
Cheng-Yueh Jao; Hui-Chin Yeh; Wan-Rou Huang; Nian-Shing Chen – Computer Assisted Language Learning, 2024
While previous studies have focused on the outcomes of using dubbing apps to foster learner's development of English-speaking ability, this study, grounded in cognitive apprenticeship (CA), is an investigation of the learning processes, which included modeling, coaching, scaffolding, articulation, reflection, and exploration, involved in the use…
Descriptors: Video Technology, Audiovisual Aids, Audio Equipment, Translation
Jian-Wei Tzeng; Nen-Fu Huang; Yi-Hsien Chen; Ting-Wei Huang; Yu-Sheng Su – Educational Technology & Society, 2024
Massive open online courses (MOOCs; online courses delivered over the Internet) enable distance learning without time and place constraints. MOOCs are popular; however, active participation level among students who take MOOCs is generally lower than that among students who take in-person courses. Students who take MOOCs often lack guidance, and…
Descriptors: MOOCs, Artificial Intelligence, Electronic Learning, Student Participation
Wan-Chun Liao; Chien-Liang Lin; Shi-Jer Lou; Chih-Chao Chung – Innovations in Education and Teaching International, 2024
This study aimed to develop a maker spirit problem-based learning (PBL) innovation and entrepreneurship course and explore its impact on students' learning effectiveness. A mixed research method was adopted for this study, in which qualitative and quantitative data were collected for inductive analysis. The research subjects comprised 49 students…
Descriptors: Instructional Design, Entrepreneurship, Problem Based Learning, Course Descriptions
Yu-Ren Lin; Tzu-Ting Wei – Journal of Baltic Science Education, 2024
This study examined the effects of students' argumentation standpoints on their argumentation learning in the context of socio-scientific issues (SSIs). To that end, four kinds of argumentation standpoints were defined: affirmative standpoints, oppositional standpoints, multiple standpoints, and non-standpoints. These four kinds of standpoints…
Descriptors: Student Attitudes, Persuasive Discourse, Learning Processes, Social Problems
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
Shian-Shyong Tseng; Tsung-Yu Yang; Wen-Chung Shih; Bo-Yang Shan – Interactive Learning Environments, 2024
In this paper, to handle the problem of the quick evolution of cyber-security attacks, we developed the iMonsters board game and proposed the attack and defense knowledge self-evolving algorithm. Three versions of the iMonsters were launched in 2013, 2017, and 2019, respectively. Accordingly, the cyber-security ontology can be refined by the…
Descriptors: Educational Games, Computer Security, Computer Science Education, Game Based Learning
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