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Showing 1 to 15 of 50 results Save | Export
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Rui Li – British Journal of Educational Technology, 2025
Despite the proliferation of help options for computer-based second language (L2) listening comprehension, little attention has been given to a comprehensive understanding of the pedagogical effects. To gain a thorough understanding of the overall and moderator effects, drawing on the activity theory (AT), this study conducted a meta-analysis of…
Descriptors: Computer Assisted Instruction, Second Language Instruction, English (Second Language), Listening Comprehension
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Liu Liu; Yue Chen; Yubin Cao; Lei Yang; Yiyan Yang; Yantong Li; Dingming Huang; Ling Ye; Qinghua Zheng – Anatomical Sciences Education, 2025
Anatomy forms the foundation for the training and execution of routine surgical procedures. However, a gap persists in effectively bridging anatomical knowledge with the confident performance of procedures. Virtual simulation (VS) techniques, based on experiential and situated learning theory, hold promise in addressing this challenge.…
Descriptors: Anatomy, Surgery, Medical Education, Computer Simulation
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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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Alexander Eitel; Marie-Christin Krebs; Claudia Schöne – Educational Psychology Review, 2025
Given the many opportunities for technology use in education nowadays (e.g., Large language models, explainer videos, digital quizzing), teachers should know and rely on evidence-based answers to questions about when, how, and why technology-augmented instruction helps or hinders learning. To date, finding these answers requires integrating…
Descriptors: Predictor Variables, Technology Uses in Education, Educational Technology, Computer Assisted Instruction
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Ampicha Nawai; Sirithon Anukul; Pannipa Prommanat; Phatteera Hengmat; Naphatson Khanthamun; Pakteema Lingkum; Kesara Noila; Areeya Sasithonbamrung – Higher Education Studies, 2025
This developmental research aimed to examine the challenges in learning intravenous fluid administration and to develop and evaluate the effectiveness of a learning media in the form of an application for nursing students. The ADDIE Model framework was employed, comprising five steps: 1) Analysis, 2) Design, 3) Development, 4) Implementation, and…
Descriptors: Foreign Countries, Nursing Education, Nursing Students, Online Courses
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Adelina Asmawi; Md. Saiful Alam – Discover Education, 2025
In the evolving techno-educational landscape, it is crucial to reimagine transformative pedagogies based on techno-teacher collaboration to revolutionize teaching effectiveness and efficiency. Although the cutting-edge generative AI tool, Chat GPT, is speculated to be a revolutionary CALL (computer-assisted language learning) tool for teaching…
Descriptors: Reading Instruction, Teaching Methods, Computer Assisted Instruction, Instructional Effectiveness
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Stefano Scippo; Serena Madiai; Stefano Cuomo – Journal of Information Technology Education: Research, 2025
Aim/Purpose: This study aims to assess the effectiveness of a tessellation-based instructional program supported by digital technologies for enhancing geometric learning in primary school pupils. Background: Digital education offers various benefits, including increased motivation and engagement, and has been shown to be effective in teaching…
Descriptors: Mathematics Instruction, Geometry, Computer Assisted Instruction, Elementary School Students
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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
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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
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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
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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
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Daniel Laumann; Maurice Krause; Fabienne E. Kremer; Barbara Leibrock; Malte S. Ubben; Boris Forthmann; Robin Janzik; Dörthe Masemann; Felix Reer; Cornelia Denz; Gilbert Greefrath; Susanne Heinicke; Annette Marohn; Thorsten Quandt; Elmar Souvignier; Stefan Heusler – Education and Information Technologies, 2025
In recent years, the importance of mobile devices has increased for education in general and more specifically for science and mathematics education. In the classroom, approaches for teaching with mobile devices include using student-owned devices ("bring your own device"; BYOD approach) or using school-owned devices from central pools…
Descriptors: Electronic Learning, Technology Uses in Education, Educational Technology, Handheld Devices
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Marjan Ebadijalal; Shahab Moradkhani – Computer Assisted Language Learning, 2025
The present mixed-methods study aimed at investigating the effects of three writing conditions, including collaborative writing (CW), collaborative prewriting (CPW), and individual writing (IW), on the performance and motivation of 66 Iranian EFL learners in a computer-mediated communication (CMC) context. Data were obtained through a background…
Descriptors: Computer Assisted Instruction, Collaborative Writing, Prewriting, Writing (Composition)
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Yijia Hao; Yushi Liu; Bo Liu; George Amarantidis; Rami Ghannam – IEEE Transactions on Education, 2025
Contribution: The integration of artificial intelligence (AI) in engineering higher education is becoming increasingly important nowadays. This article contributes to the Scholarship of Integration by providing a comprehensive review of current research on AI integration in engineering higher education and presenting a pilot AI introductory module…
Descriptors: Foreign Countries, Undergraduate Students, Engineering Education, Artificial Intelligence
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Casey J. Metoyer; Katherine Sullivan; Lee J. Winchester; Mark T. Richardson; Michael R. Esco; Michael V. Fedewa – Measurement in Physical Education and Exercise Science, 2025
Relative adiposity (%Fat) was measured using a smartphone-based application in a convenience sample of adults aged 20-52 years (n = 32, 68.7% female, 84.3% White/Caucasian, 26.7 ± 3.5 kg/m2) across different body positions (Anterior versus Posterior) on consecutive days (Day 1 versus Day 2). A reference photo was obtained from the posterior view…
Descriptors: Adults, Body Composition, Handheld Devices, Computer Assisted Instruction
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