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Sara Evans; Christopher H. Skinner; Kimberly Wolbers; Sherry Mee Bell; Cheryl Shahan – Journal of Applied Behavior Analysis, 2024
Multiple-baseline-across-word-sets designs were used to determine whether a computer-based intervention would enhance accurate word signing with four participants. Each participant was a hearing college student with reading disorders. Learning trials included 3 s to observe printed words on the screen and a video model performing the sign twice…
Descriptors: Reading Difficulties, Intervention, Sign Language, College Students
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Sebastian Straub; Isis Tunnigkeit; Julia Eberle; Arlind Avdullahu; Nikol Rummel – International Journal of Computer-Supported Collaborative Learning, 2025
A key challenge in CSCL research is to find ways to support learners in becoming effective collaborators. While the effectiveness of external collaboration scripts is well established, there is a need for research into support that acknowledges learners' autonomy during collaboration. In the present study, we compare an external collaboration…
Descriptors: Cooperative Learning, Interaction, Scripts, Computer Assisted Instruction
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Chih-Yueh Chou; Wei-Han Chen – Educational Technology & Society, 2025
Studies have shown that students have different help-seeking behavior patterns and tendencies and furthermore, that students with certain help-seeking behavior patterns and tendencies may have poor performance (i.e., at-risk students). This study applied an educational data mining approach, including clustering and classification, to analyze…
Descriptors: Student Behavior, Help Seeking, Problem Solving, Information Retrieval
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Olga Viberg; Martine Baars; Rafael Ferreira Mello; Niels Weerheim; Daniel Spikol; Cristian Bogdan; Dragan Gasevic; Fred Paas – Journal of Computer Assisted Learning, 2024
Background Study: Peer feedback has been used as an effective instructional strategy to enhance students' learning in higher education. Objectives: This paper reports on the findings of an explorative study that aimed to increase our understanding of the nature and role of peer feedback in the students' learning process in a computer-supported…
Descriptors: Feedback (Response), Peer Evaluation, Computer Assisted Instruction, Cooperative Learning
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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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Lili Zhang – Educational Technology Research and Development, 2025
Group awareness tools have garnered significant interest within the realm of computer-supported collaborative learning (CSCL), as they foster collaborative learning behaviors. However, in the context of a CSCL environment devoid of rich technologies, supporting group awareness is challenging. Contextualized in a teacher professional development…
Descriptors: Cooperative Learning, Computer Assisted Instruction, College Students, Foreign Countries
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Wenji Wang; Wenjuan Wang – Journal of Computer Assisted Learning, 2025
Background Study: The combination of artificial intelligence (AI) and foreign language learning is emerging as a significant trend in language education. Objectives: This study aimed to investigate the impact of technology acceptance, attitude and motivation on behavioural intentions regarding the use of AI in language learning. Methods:…
Descriptors: College Students, Student Behavior, Intention, Educational Technology
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Deniz Yesi?l; Fatma Bayrak – Open Praxis, 2025
Feedback is a critical component of the learning process and is essential to reinforce the effect of feedback with affective elements. Due to technological developments, providing automated feedback has become easy. Therefore, this study examined the effect of automated elaborated feedback provided with affective feedback on situational intrinsic…
Descriptors: Feedback (Response), Automation, Student Motivation, Self Efficacy
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Dharmanie A. Gamage; Gail B. Sylvester-Conrad; Nadia Johnny – Journal of College Academic Support Programs, 2024
Developmental mathematics courses play a critical role in ensuring that students have the foundational mathematical skills necessary to succeed in higher educational mathematics coursework. With the introduction of the corequisite format in recent educational reforms, there has been a growing trend towards transferring developmental mathematics…
Descriptors: College Students, Mathematics Instruction, Remedial Mathematics, Computer Assisted Instruction
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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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Chun-Mei Chou; Tsu-Chuan Shen; Tsu-Chi Shen – Education and Information Technologies, 2025
AR-supported instruction has been verified to improve students' problem-solving skills. This study investigated 1041 university students and developed an empirical research model that combined technology acceptance, self-regulation, and AR-supported learning effectiveness with the structural equation model (SEM). At the same time, content analysis…
Descriptors: College Students, Student Attitudes, Computer Attitudes, Adoption (Ideas)
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Liping Chen – International Journal of Web-Based Learning and Teaching Technologies, 2025
In the evolving landscape of vocal pedagogy, ttehe integration of computer-assisted technologies represents a transformative shift from traditional master-apprentice models. This study investigates the efficacy of computer-assisted vocal training methods compared to conventional approaches, focusing on improvements in pitch accuracy, vocal range…
Descriptors: Computer Assisted Instruction, Singing, Music Education, Educational Technology
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Assim S. Alrajhi – Education and Information Technologies, 2025
Motivated by the proliferation of artificial intelligence that has the potential to promote self-access learning, this study utilizes a sequential explanatory quasi-experimental mixed methods design to investigate the efficacy of Google Assistant (GA) in facilitating second language (L2) vocabulary learning compared to online dictionaries. A…
Descriptors: English (Second Language), Second Language Learning, Artificial Intelligence, Vocabulary Development
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Zainal Arifin; Budi Setiawan – Educational Process: International Journal, 2025
Background/purpose: This study examines the evolution of information technology-driven learning models aligned with the policies and programs outlined in the strategic plan of the Universitas Pendidikan Indonesia (UPI) aimed at becoming a leading institution. This includes the advancement of information and communication technology-based learning,…
Descriptors: Foreign Countries, Educational Technology, Technology Uses in Education, Learner Engagement
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Yizhou Fan; Luzhen Tang; Huixiao Le; Kejie Shen; Shufang Tan; Yueying Zhao; Yuan Shen; Xinyu Li; Dragan Gaševic – British Journal of Educational Technology, 2025
With the continuous development of technological and educational innovation, learners nowadays can obtain a variety of supports from agents such as teachers, peers, education technologies, and recently, generative artificial intelligence such as ChatGPT. In particular, there has been a surge of academic interest in human-AI collaboration and…
Descriptors: College Students, Writing Achievement, Writing Exercises, Artificial Intelligence
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