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Showing 91 to 105 of 1,094 results Save | Export
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Kate Tzu-Ching Chen – Contemporary Educational Technology, 2023
The present study aimed to examine the barriers faced by Taiwanese university English as a foreign language (EFL) instructors when incorporating mobile-assisted language learning (MALL) into their teaching, and to explore how these barriers are influenced by the instructors' background characteristics. To assess the variables, a survey…
Descriptors: Foreign Countries, English (Second Language), Language Teachers, Teacher Attitudes
Eman Abdel-Reheem Amin – Online Submission, 2024
The present study examined students' perception of using Artificial intelligence-powered text-to-speech apps (AI TTS Apps) to learn aspects of English language pronunciation. This investigation was conducted considering the extended Unified Theory of Acceptance and Use of Technology (UTAUT2). To ensure participants had prior experience using AI…
Descriptors: English Language Learners, English (Second Language), Artificial Intelligence, Assistive Technology
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Priyan L. Jayamaha – International Journal of Technology in Education and Science, 2024
This study investigates the challenges of teaching history to primary school students and the endeavour to develop a board game, supported by educational apps and augmented reality, to enhance the learning experience. The initiative is in response to the New Zealand Ministry of Education's mandate that New Zealand's history must be taught in all…
Descriptors: Elementary School Students, Foreign Countries, Games, Class Activities
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Nicola Urquhart; Joanne Lee; Eileen Wood – Journal of Children and Media, 2024
Well-designed math apps can foster children's numeracy development. Although parents are interested in using math apps for their children, the quantity and variability in quality of apps can make app selection challenging. As such, it is important to know how parents evaluate numeracy content in math apps for their children. This study…
Descriptors: Foreign Countries, Numeracy, Computer Oriented Programs, Mathematics Instruction
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Qian Fu; Wenjing Tang; Yafeng Zheng; Haotian Ma; Tianlong Zhong – Interactive Learning Environments, 2024
In this study, a predictive model is constructed to analyze learners' performance in programming tasks using data of programming behavioral events and behavioral sequences. First, this study identifies behavioral events from log data and applies lag sequence analysis to extract behavioral sequences that reflect learners' programming strategies.…
Descriptors: Predictor Variables, Psychological Patterns, Programming, Self Management
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Leo A. Mamolo; Shalom Grace C. Sugano – E-Learning and Digital Media, 2024
The pandemic brought changes in the educational setup leading all learning institutions to rely on online learning. In instruction, using the e-learning method has increased due to the pandemic. This study investigated the effects of the Digital Interactive Math Comics (DIMaC) mobile App on students' self-efficacy, anxiety, and achievement in…
Descriptors: Student Attitudes, Self Efficacy, Mathematics Anxiety, Mathematics Achievement
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Eduarda Sousa-Sá; Natalie Lander; Ahmad Abu Alqumsan; Shehab Alsanwy; Darius Nahavandi; Nicole Toomey; Shady Mohamed; Steven Lewis; Lisa M. Barnett – Journal of Teaching in Physical Education, 2024
Purpose: To refine a motor competence assessment app prototype, enabling its redesign. Method: Workshops were conducted to inform the prototype development. App's usability was evaluated on its ability to communicate relevant information to the teachers (n = 9). A "think out loud" protocol was applied by the users. Results: Both…
Descriptors: Physical Education Teachers, Student Evaluation, Psychomotor Skills, Computer Oriented Programs
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Lara Hoareau; Youssef Tazouti – Education and Information Technologies, 2024
Although the acceptance of educational apps and their contributions to learning have been widely researched, none of these studies have examined links between teachers' acceptance of apps and their students' skills. The present study investigated this issue with respect to a new, French-language educational app for helping preschool children…
Descriptors: Educational Technology, Computer Oriented Programs, Preschool Children, Emergent Literacy
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Akiyo Hirai; Angelina Kovalyova – Language Learning & Technology, 2024
Speech-to-text applications have great potential for helping students with English language comprehension and pronunciation practice. This study explores the functionality of five speech-to-text (STT) applications (Google Docs voice typing tool, Apple Dictation, Windows 10 Dictation, Dictation.io [a website service], and "Transcribe" [an…
Descriptors: Assistive Technology, English Language Learners, English (Second Language), Articulation (Speech)
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Harriet R. Tenenbaum; Jo Van Herwegen – International Journal of Early Years Education, 2024
Many technological applications (apps) purport to help children learn academic material. Building on research in developmental and educational psychology, we developed and tested an app to teach biological and physical science content to preschool children. There were 21 children in the control condition (M[subscript age] = 50.30 months, SD =…
Descriptors: Preschool Children, Elementary School Science, Science Education, Science Instruction
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Unggi Lee; Yeil Jeong; Junbo Koh; Gyuri Byun; Yunseo Lee; Youngsun Hwang; Hyeoncheol Kim; Cheolil Lim – Educational Technology & Society, 2024
Debate is a universally acknowledged competency for its vital role in fostering essential skills such as analytical reasoning, eloquent communication, and persuasive argument construction. This is relevant in both formal educational settings like classrooms and informal venues such as after-school clubs. Traditional debate training methods often…
Descriptors: Artificial Intelligence, Debate, Computer Oriented Programs, Technology Uses in Education
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Yilong Su; Meina Luo; Chenyin Zhong – SAGE Open, 2025
Artificial intelligence-driven chatbots have sparked significant changes in English education, which is challenging for pre-service teachers. To date, it remains unclear what are pre-service English teachers' perceptions of and needs in integrating chatbots into English education. This study, therefore, explored Chinese pre-service English…
Descriptors: Preservice Teachers, Language Teachers, Student Attitudes, Preservice Teacher Education
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Lutfun Nahar; Riza Sulaiman – Education and Information Technologies, 2025
Studying and solving geometry questions are the most challenging parts of mathematics for visually impaired students (VIS). This study begins with the needs assessment to identify the needs of VIS, which shows that technology-assisted effective teaching and learning are not available for VIS to learn geometry. Therefore, this study focuses on…
Descriptors: Instructional Design, Mathematics Instruction, Instructional Effectiveness, Computer Oriented Programs
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Mohammad Saleh Alkaramneh; Heyam Al-Taj; Bassam Omar Ghanem; Khaled Abu Sheirah; Hind Ghedhaifi; Naela Shatat – Journal of Educators Online, 2025
This study aimed to investigate the degree to which faculty members at Jordanian universities employ applications of artificial intelligence (AI) in education and scientific research. By adopting a descriptive survey approach, we developed a questionnaire consisting of 39 items covering three dimensions: planning and teaching, evaluation, and…
Descriptors: Foreign Countries, College Faculty, Technology Uses in Education, Artificial Intelligence
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Schulz, Penelope; Prior, Julian; Kahn, Lewis; Hinch, Geoff – Journal of Agricultural Education and Extension, 2022
Purpose: This paper establishes the attitude of Australian livestock farmers toward the use of mobile applications (apps) in farmer extension, training and on-farm decision making. It also determines levels of technology adoption of smartphones and agriculture app use, as well as identifies factors that may influence app adoption. Methodology: A…
Descriptors: Handheld Devices, Computer Oriented Programs, Data, Information Management
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