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Ruiqi Deng; Yi Yang; Suqin Shen – Education and Information Technologies, 2025
Empirical evidence has consistently shown that interactive questions are an effective strategy for strengthening student learning through instructional videos. However, research has not directly addressed the crucial question of whether the beneficial effects of interactive questions in instructional videos are attributable to the presence of…
Descriptors: Educational Technology, Technology Uses in Education, Video Technology, Questioning Techniques
Debora Wenger; Md Sazzad Hossain; Jared Robert Senseman – Journalism and Mass Communication Educator, 2025
Artificial Intelligence (AI) has emerged as a transformative force in the field of journalism, reshaping various aspects of news production, content delivery, and audience engagement. This study uses the theory of disruptive innovation to examine the impact of AI in journalism education. We conducted 14 in-depth interviews with Accrediting Council…
Descriptors: Journalism Education, College Faculty, College Students, Artificial Intelligence
Huan Kang; Hong Chen – Education and Information Technologies, 2025
This study investigates the effects of online instructors' use of initiation and maintenance rapport-building strategies (RBS) on Chinese EFL learners' CALL motivation and cognitive load management. Mixed methods research was used to concurrently triangulate different strands of data on the effects of RBS on 86 randomly sampled EFL learners. The…
Descriptors: English (Second Language), Second Language Learning, Teacher Student Relationship, Cognitive Processes
Adil Hamamous; Nadia Benjelloun – Journal of Learning for Development, 2025
CAEx (Computer-Assisted Experimentation) enables real-time experiments to be carried out using a computer; it includes data acquisition and sensor systems, as well as real-time measurement of numerous physical properties. The use of computer-assisted experimentation in the teaching of physics and chemistry in Moroccan secondary schools underwent…
Descriptors: Computer Assisted Instruction, Science Education, Physical Sciences, Science Experiments
Duygu Gur; Yalin Kilic Turel – Turkish Online Journal of Distance Education, 2025
Different variables such as motivation, achievement, and engagement have been investigated in studies on gamification in the field of educational technologies. However, the obtained results differ, which emphasizes the need for studies based on concrete findings related to current trends and needs. In this study, we aim to reveal current research…
Descriptors: Educational Research, Gamification, Learner Engagement, Student Motivation
Wissal EL Fougour; Mohamed Erradi – International Journal of Technology in Education, 2025
Feedback is an integral aspect of developing self-regulated learning in that it enables the student an opportunity for reflection, making changes, and learning. The computer-based feedback system supports this systematic review in exploring how improvement in academic performance, metacognitive reasoning, and emotional resilience has taken place…
Descriptors: Computer Assisted Instruction, Feedback (Response), Individualized Instruction, Academic Achievement
Da Teng; Xiangyang Wang; Yanwei Xia; Yue Zhang; Lulu Tang; Qi Chen; Ruobing Zhang; Sujin Xie; Weiyong Yu – Education and Information Technologies, 2025
The swift advancement of artificial intelligence, especially large language models (LLMs), has generated novel prospects for improving educational methodologies. Nonetheless, the successful incorporation of these technologies into pedagogical methods, such as flipped classrooms, continues to pose a challenge. This study investigates the…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Flipped Classroom, Technology Uses in Education
Meixiu Zhang; Mimi Li – Computer Assisted Language Learning, 2025
Reading for writing tasks have been widely implemented in past decades, but research is still scarce on computer-mediated reading for writing. With a growing interest in collaborative writing and collaborative reading, spurred on by the broader awareness of sociocultural theory and the collaborative nature of digital technologies, we proposed an…
Descriptors: Cooperative Learning, Reading Comprehension, Documentation, Educational Technology
Zheng, Lanqin; Niu, Jiayu; Long, Miaolang; Fan, Yunchao – British Journal of Educational Technology, 2023
Computer-supported collaborative learning (CSCL) has been an effective pedagogy in the field of education. However, productive collaborative learning often does not occur spontaneously, and learners often have difficulties with collaborative knowledge building and socially shared regulation. To address this research gap, this study proposes an…
Descriptors: Cooperative Learning, Computer Assisted Instruction, Graphs, College Students
Havard, Byron; Podsiad, Megan; Valaitis, Karen – TechTrends: Linking Research and Practice to Improve Learning, 2023
The Peer Assessment Collaboration Evaluation (PACE) Tool is an original peer assessment tool designed and developed by the authors to address the prevalence of social loafing in group projects in online learning environments. Online group projects offer students collaborative opportunities to engage in critical thinking and problem-solving.…
Descriptors: Peer Evaluation, Student Behavior, Computer Assisted Instruction, Cooperative Learning
Alwafi, Enas Mohammad – Educational Technology Research and Development, 2023
This study investigated the impact of designing an online learning environment based on cognitive apprenticeship on students' critical thinking and interaction in CSCL. The one group pretest-posttest quasi-experimental design was used in this study. A questionnaire was used to measure students' critical thinking and social network analysis (SNA)…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Instructional Design, Electronic Learning
Siegle, Robert F.; Schroeder, Noah L.; Lane, H. Chad; Craig, Scotty D. – TechTrends: Linking Research and Practice to Improve Learning, 2023
Pedagogical agents are on-screen characters that help facilitate learning in a virtual or mixed-reality setting. The research on pedagogical agents has shifted focus since their creation, from understanding their underlying principles, identifying their potential roles and usage, and recently finetuning their design for applied practice. This…
Descriptors: Teaching Methods, Artificial Intelligence, Technology Uses in Education, Barriers
Eglington, Luke G.; Pavlik, Philip I., Jr. – International Journal of Artificial Intelligence in Education, 2023
An important component of many Adaptive Instructional Systems (AIS) is a 'Learner Model' intended to track student learning and predict future performance. Predictions from learner models are frequently used in combination with mastery criterion decision rules to make pedagogical decisions. Important aspects of learner models, such as learning…
Descriptors: Computer Assisted Instruction, Intelligent Tutoring Systems, Learning Processes, Individual Differences
Manegre, Marni; Gutiérrez-Colón, Mar – Interactive Learning Environments, 2023
Knowledge building occurs when students work together and participate in idea-centred discussions where they share information and create knowledge collectively. This research explores whether knowledge building in knowledge forums using English as the "lingua franca" can facilitate in foreign language learning. An analysis was done on…
Descriptors: Second Language Learning, Collaborative Writing, Computer Assisted Instruction, Computer Mediated Communication
Yamauchi, Taisei; Flanagan, Brendan; Nakamoto, Ryosuke; Dai, Yiling; Takami, Kyosuke; Ogata, Hiroaki – Smart Learning Environments, 2023
In recent years, smart learning environments have become central to modern education and support students and instructors through tools based on prediction and recommendation models. These methods often use learning material metadata, such as the knowledge contained in an exercise which is usually labeled by domain experts and is costly and…
Descriptors: Mathematics Instruction, Classification, Algorithms, Barriers