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Harrison Hao Yang; Zhongyue Yin; Sha Zhu – British Journal of Educational Technology, 2025
The HyFlex course has been widely adopted in higher education settings. However, there is a paucity of empirical studies examining students' acceptance of large-scale HyFlex courses, as well as factors influencing their acceptance. To fill this research gap, the present study investigated students' acceptance of a large-scale HyFlex course and the…
Descriptors: Foreign Countries, College Students, Blended Learning, Public Colleges
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Wenfeng Si; Guangwei Hu; Juan Long – Interactive Learning Environments, 2024
Due to the digital revolution, online education based on the B2B2C (Business to Business to Consumer) model is growing Understanding students' expectations, concerns, and experiences of these courses are crucial to the successful of education. Based on the research framework of value co-creation and value co-destruction and the theory of social…
Descriptors: Electronic Learning, Consumer Economics, Content Analysis, Student Attitudes
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Duong Minh Tuan; Le Thi Diem Lan – Turkish Online Journal of Distance Education, 2025
The proliferation of communication technologies in recent years has significantly contributed to the swift transformation of education. The outbreak of the COVID-19 pandemic at the beginning of 2020 caused further drastic changes in education, making digital transformation one of its most apparent attributes. This evolution has necessitated a call…
Descriptors: Interaction, Student Satisfaction, Student Attitudes, Electronic Learning
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Yong Jik Lee; Robert O. Davis – Contemporary Educational Technology, 2024
This research investigated the effects of generative AI on affective factors (motivation, interest, and confidence) of English as a foreign language (EFL) learners enrolled in Korean university-level general English courses. During the Spring 2024 semester, this study involved 89 participants exposed to a generative AI-based instruction model.…
Descriptors: Foreign Countries, English (Second Language), Second Language Learning, Artificial Intelligence
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Liu, Sannyuya; Kang, Lingyun; Liu, Zhi; Fang, Jing; Yang, Zongkai; Sun, Jianwen; Wang, Meiyi; Hu, Mengwei – Interactive Learning Environments, 2023
Computer-supported collaborative concept mapping (CSCCM) integrates technology and concept mapping to support students' knowledge understanding, and much research on the behavioral patterns involved in CSCCM activities has been conducted. However, there is limited understanding of the differences in knowledge understanding and behavioral patterns…
Descriptors: Computer Assisted Instruction, Concept Mapping, Student Attitudes, College Students
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Hanna, Louise; Barr, David – Research-publishing.net, 2022
The attitudes of student-teachers to Computer Assisted Language Learning (CALL) remains an under-explored topic in research literature. This mixed-methods study engaged student-teachers in focus group discussions at commencement and completion of Initial Teacher Education (ITE). These student-teachers were situated across England, Scotland, Wales,…
Descriptors: Student Teachers, Student Attitudes, Computer Assisted Instruction, Second Language Learning
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Amina Bashir; Aamir Aziz; Muhammad Imran; Norah Almusharraf – Contemporary Educational Technology, 2025
With technological advancement, multimodality has received paramount importance in teaching and learning. Different technology-based assistance is available nowadays, and computer-assisted language learning (CALL) is one of them. It uses computer-based tools, materials, resources, and information to assist second language learning. Motivation…
Descriptors: Computer Assisted Instruction, Second Language Learning, Learning Motivation, Intention
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Yen-Jung Chen; Liwei Hsu; Shao-wei Lu – Computer Assisted Language Learning, 2024
It is well known that teachers' feedback plays an important role in students' learning, as it enhances learners' cognitive development; yet there has been little research on how positive feedback given in the form of emojis works in computer-assisted language learning (CALL) courses. In this study, an experiment was designed to clarify how English…
Descriptors: Visual Aids, English (Second Language), Second Language Learning, Feedback (Response)
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Zhussupbayev, Sayat; Nurgaliyeva, Saniya; Shayakhmet, Nurbek; Otepova, Gulfira; Karimova, Anara; Matayev, Berik; Bak, Hadi – International Journal of Education in Mathematics, Science and Technology, 2023
The aim of this study is to examine the effect of teaching the "History of world civilizations" unit of High School 2nd History Lesson using computer assisted instruction methods on students' achievement, attitudes towards history lesson and retention of learned information. The experimental design model was preferred as the research…
Descriptors: Computer Assisted Instruction, Teaching Methods, History Instruction, Academic Achievement
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Fuhai An; Linjin Xi; Jingyi Yu – Education and Information Technologies, 2024
The current study assessed 495 middle school students in China using self-report questionnaires, to examine the multiple mediating effects of intrinsic motivation and learning engagement (vitality, dedication and absorption) in the relations between technology acceptance and students' self-regulated learning. The results indicated that technology…
Descriptors: Learner Engagement, Middle School Students, Metacognition, Learning Motivation
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Qi Wang; Shengquan Yu; Xiaofeng Wang – Journal of Educational Computing Research, 2024
Chinese as a second language (CSL) learning has attracted more attention and supporting learners with adaptive resources becomes difficult. Some online systems recommended pre-designed resources from existing databases while the resources could not match learners' context. Designing resources dynamically according to learners' needs could be a…
Descriptors: Second Language Learning, Chinese, College Students, Online Systems
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Qi An – Education and Information Technologies, 2024
The importance of using innovative technologies in modern education is continuously growing. This paper examines the influence of intelligent painting systems (IPS) on student self-efficacy and involvement. The conducted study involved 234 students from the Guangzhou Academy of Fine Arts. An experimental approach was used to ensure scientific…
Descriptors: Foreign Countries, College Students, Art Education, Painting (Visual Arts)
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Alberto Grájeda; Johnny Burgos; Pamela Córdova; Alberto Sanjinés – Cogent Education, 2024
This study aims to assess the adoption and impact of Artificial Intelligence (A.I.) tools in higher education, focusing on a private university in Latin America. Guided by the question, "What is the impact, as perceived by university students, of using Artificial Intelligence tools on various dimensions of learning and teaching within the…
Descriptors: Foreign Countries, College Students, Artificial Intelligence, Student Attitudes
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María de los Ángeles Gómez González; Alfonso Lago Ferreiro – Language Learning & Technology, 2024
Previous research has established that phonetics has been marginalized within language teaching, proving to be particularly challenging for learners in EFL contexts. This paper presents EPSSML (https://www.usc.gal/multimlab/), an e-learning platform designed within Mayer's (2008, 2009) Cognitive Theory of Multimedia Learning to instruct English…
Descriptors: Computer Assisted Instruction, Pronunciation, Electronic Learning, Phonetics
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Shihui Feng; David Gibson; Dragan Gaševic – Journal of Learning Analytics, 2025
Understanding students' emerging roles in computer-supported collaborative learning (CSCL) is critical for promoting regulated learning processes and supporting learning at both individual and group levels. However, it has been challenging to disentangle individual performance from group-based deliverables. This study introduces new learning…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Student Role, Learning Analytics
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