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Ernest Frimpong Akosah – International Journal of Technology in Education and Science, 2025
The integration of Artificial Intelligence (AI) in collaborative learning environments has transformed educational practices, yet little is known about preservice mathematics teachers' perceptions and engagement with such technology. This study aims to address this gap by exploring how pre-service teachers perceive and engage with AI-assisted…
Descriptors: Artificial Intelligence, Technology Uses in Education, Cooperative Learning, Mathematics Education
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Andy Nguyen; Anh Thi Duong; Diep Thi Bich Nguyen; Van Thi Thanh Lai; Belle Dang – Information and Learning Sciences, 2025
Purpose: The rapid advancement and widespread adoption of generative artificial intelligence (GenAI) in education have significantly impacted learning, teaching and assessment practices. This development has raised critical questions about necessary changes to learning design and traditional assessment methods for a society where GenAI becomes…
Descriptors: Artificial Intelligence, Instructional Design, Public Policy, Educational Policy
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Prapasiri Klayklung; Piyawatjana Chocksathaporn; Pongsakorn Limna; Tanpat Kraiwanit; Kris Jangjarat – Online Submission, 2023
The development of conversational artificial intelligence (AI) has brought about new opportunities for improving the learning experience in education. ChatGPT, a large language model trained on a vast corpus of text, has the potential to revolutionize education by enhancing learning through personalized and interactive conversations. This paper…
Descriptors: Artificial Intelligence, Interaction, Foreign Countries, Technology Integration
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Zhi Quan; Lynn Grant; Darryl Hocking; Andy Connor – Interactive Learning Environments, 2024
In recent years, the emerging trend of mobile learning (hereinafter "m-learning") has obtained increasing attention from educators and higher popularity among students worldwide. Partly due to its short history, there seems to be a lack of comprehensive and in-depth understanding on the distinctiveness of m-learning. It is maintained in…
Descriptors: Electronic Learning, Technology Integration, Educational Technology, Computer Assisted Instruction
Bikram Kumar Singh – ProQuest LLC, 2023
The purpose of this dissertation was to understand and compare the effect of training non-native English Speaking (NNES) learners (N = 480) in two distinct learning environments, (i) traditional face-to-face and (ii) online synchronous hybrid learning (SHL). In the traditional training mode, NNES learners (n = 360) were trained by NNES voice and…
Descriptors: English Language Learners, Blended Learning, Computer Assisted Instruction, Educational Technology
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Said A. Salloum; Khaled Mohammad Alomari; Aseel M. Alfaisal; Rose A. Aljanada; Azza Basiouni – Smart Learning Environments, 2025
The integration of artificial intelligence in educational environments has the potential to revolutionize teaching and learning by enabling real-time analysis of students' emotions, which are crucial determinants of engagement, motivation, and learning outcomes. However, accurately detecting and responding to these emotions remains a significant…
Descriptors: Artificial Intelligence, Emotional Response, Psychological Patterns, Individualized Instruction
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Mohammed A. E. Suliman; Wenlan Zhang; Rehab A. I. Suluman; Kamal Abubker Abrahim Sleiman – Education and Information Technologies, 2025
This study contributes to the knowledge about mobile learning among medical students in the context of developing countries. This research used the Technology Acceptance Model (TAM) to study the preconditions for m-learning among medical students. A twenty-item self-reported survey was used to gather data from 387 medical students, and structural…
Descriptors: Medical Students, Student Attitudes, Information Technology, Technology Integration
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Hyacinth Balediata Bangero – Communication Teacher, 2024
ePUZSOLVED is designed to help students understand the general communication models and experience the advantages and disadvantages of each. It will highlight how various modes of communication, when used appropriately, may lead people to solve problems, as exemplified by the online puzzle. Courses: Introduction of Communication Models, Review of…
Descriptors: Puzzles, Interactive Video, Communication Strategies, Problem Solving
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Andersen, Bjarke Lindsø; Jørnø, Rasmus Leth; Nortvig, Anne-Mette – Contemporary Educational Technology, 2022
Background: Adaptive and personalized learning technologies are on the rise in health education. However, to reach the potential of these technological innovations, novel learning designs are necessary, which take new possibilities and constraints into account. Aim: In this scoping review we answer the question: What characterizes learning designs…
Descriptors: Blended Learning, Educational Technology, Nursing Education, Literature Reviews
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Adil Hamamous; Nadia Benjelloun – Knowledge Management & E-Learning, 2023
This research is part of the integration of information and communication technologies (ICT) in the Moroccan education system, our objective being to evaluate the use of computer-assisted experimentation (CAEx) in learning to encourage the authorities of the Ministry of National Education, Vocational Training and Sports to adopt the CAEx program…
Descriptors: Computer Assisted Instruction, Physical Sciences, Foreign Countries, Physics
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Wu Xiaofan; Nagaletchimee Annamalai – Contemporary Educational Technology, 2025
This investigation utilized a phenomenological approach to investigate the experience of English language educators in employing artificial intelligence (AI) tools into English language learning. The study used purposive sampling and 20 participants were interviewed. The data analysis was guided by Bronfenbrenner's (1979) ecological systems…
Descriptors: Technology Uses in Education, Artificial Intelligence, Educational Technology, Second Language Learning
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Chen Li; Yue Jiang; Peter H. F. Ng; Yixin Dai; Francis Cheung; Henry C. B. Chan; Ping Li – IEEE Transactions on Learning Technologies, 2024
Computer-supported collaborative learning aims to use information technologies to support collaborative knowledge construction by practicing the relevant pedagogical approaches, especially in the distance learning setting. The enabling technologies are fast advancing, and the need for solutions during the COVID-19 global pandemic led to the…
Descriptors: Computer Simulation, Computer Assisted Instruction, Cooperative Learning, Technology Uses in Education
Rachel E. Holm – ProQuest LLC, 2024
As online programs grow, so should attempts to create a better virtual asynchronous learning experience. The purpose of this study was to examine the impact of video-based online learning activities in increasing components of social, teaching, and cognitive presence, among interprofessional healthcare students of various age groups. Studying this…
Descriptors: Electronic Learning, Computer Assisted Instruction, Video Technology, Cognitive Processes
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Dan Nickolai – The EUROCALL Review, 2024
Computer-assisted Pronunciation Training (CAPT) tools have become increasingly dependent on Automatic Speech Recognition (ASR) technology to provide automated corrective pronunciation feedback to learners. The extent to which ASR-based tools measurably improve second language (L2) pronunciation is of great interest to language educators globally,…
Descriptors: Computer Assisted Instruction, Pronunciation, Technology Uses in Education, Second Language Learning
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Umi Kalsom Masrom; Zailani Jusoh; Kamran Mir – MEXTESOL Journal, 2025
The digitalization of teaching continues to shape its future, demanding continuing adaptation to its growing needs. To meet the evolving expectations, many online learning modules have been produced. Nonetheless, many fail to capture learners' interest as they lack creativity since they contain lengthy texts and uninteresting explanatory videos.…
Descriptors: Learning Management Systems, Technology Uses in Education, Public Speaking, Learning Experience
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