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Hannah Thompson; Jiling Liu – Strategies: A Journal for Physical and Sport Educators, 2024
This article introduces a unique application, ClassDojo, that can be easily used in elementary classrooms, including physical education classes. Specifically, it describes the three features that are most relevant to class management, assessment, and communication in physical education. This application can enrich physical educators' repertoire of…
Descriptors: Elementary Education, Physical Education, Computer Software, Handheld Devices
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E. A. J. Terblanche; Annelien Adriana van Rooyen; P. C. Enwereji – Discover Education, 2024
The COVID-19 pandemic accelerated the implementation of online assessments at an unprecedented pace. The pandemic required most higher education institutions worldwide to implement online assessments almost overnight. The study aimed to gain an understanding of auditing students' perceptions of online assessments and e-proctoring systems during…
Descriptors: Computer Assisted Testing, Supervision, Student Attitudes, Electronic Learning
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Muhammad Al-Abdullah; Alper Yayla; Mohammed Salem Al-Atoum – Journal of Information Systems Education, 2024
In today's cybersecurity landscape, organizations need frameworks that provide a holistic approach to risk assessment as part of the risk management process. This case introduces SecureEnd Solutions, a rapidly growing cybersecurity company, and its core team, including Alan Touring, Ada Lovecode, Bob Jobs, and Suzan, the head of development. The…
Descriptors: Risk Assessment, Risk Management, Computer Security, Holistic Approach
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Yingying Jiang; Lindai Xie; Guohui Lin; Fangfang Mo – Education and Information Technologies, 2024
ChatGPT has surprised academia with its remarkable abilities but also raised substantial concerns regarding academic integrity and misconduct. Despite the debate, empirical research exploring the issue is limited. The purpose of this study is to bridge this gap by analyzing Twitter data to understand how academia is perceiving ChatGPT. A total of…
Descriptors: Artificial Intelligence, Computer Software, College Faculty, Social Media
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Neha Patvardhan; Madhura Ranade; Vandana; Ritesh Khatwani – International Journal of Information and Learning Technology, 2024
Purpose: This study examines the web accessibility issues faced by users with disabilities when using ChatGPT, a popular chatbot. It is crucial for users with disabilities to have barrier-free access to Internet communications technology to be on par with other users. Because of its roots in artificial intelligence (AI) technology, ChatGPT can…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Competency Based Education
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Mimi Li – International Journal of Computer-Assisted Language Learning and Teaching, 2024
This paper discusses the increasingly prominent role of ChatGPT in providing feedback and assessment for L2 writing in the digital age. It reviews representative studies that address five research strands about the use of ChatGPT in L2 writing contexts. After a critical evaluation of the existing literature, the author extensively explains four…
Descriptors: Second Language Learning, Feedback (Response), Evaluation, Artificial Intelligence
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Philip Newton; Maira Xiromeriti – Assessment & Evaluation in Higher Education, 2024
Media coverage suggests that ChatGPT can pass examinations based on multiple choice questions (MCQs), including those used to qualify doctors, lawyers, scientists etc. This poses a potential risk to the integrity of those examinations. We reviewed current research evidence regarding the performance of ChatGPT on MCQ-based examinations in higher…
Descriptors: Multiple Choice Tests, Artificial Intelligence, Integrity, Computer Software
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Mesfer Mihmas Mesfer Aldawsari; Nouf Rashed Ibrahim Almohish – International Review of Research in Open and Distributed Learning, 2024
This research study explored the perspectives of 20 educational technologists from four Saudi Arabian universities regarding the integration of AI-powered technology, particularly ChatGPT, into online higher education. The study used a qualitative research method that relied on the principles of theoretical sampling to select participants and…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Technology Uses in Education
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Fatni Mufit; Yeka Hendriyani; Muhammad Dhanil – Journal of Turkish Science Education, 2024
This research aims to design immersive virtual reality with cognitive conflict to support practical learning of quantum physics. This type of research is design research through the stages of needs analysis, product design, validity test, and practicality test. The needs analysis used questionnaire sheets distributed with Google Forms and obtained…
Descriptors: Teaching Methods, Physics, Science Instruction, Quantum Mechanics
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Maria Emine Nylund; Shubham Jain; Eva Tegnander; Eva Johanne Leknes Jensen; Ekaterina Prasolova-Førland; Frank Linsdeth; Gabriel Kiss – Education and Information Technologies, 2024
Pulsed-wave Doppler ultrasound is a widely used technique for monitoring pregnancies. As ultrasound equipment becomes more advanced, it becomes harder to train practitioners to be proficient in the procedure as it requires the presence of an expert, access to high-tech equipment as well as several volunteering patients. Immersive environments such…
Descriptors: Computer Software, Computer Simulation, Audio Equipment, Health Education
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Korhan Kayisli; Ruhi Zafer Caglayan; Ilhami Colak – IEEE Transactions on Education, 2024
This article aims to present the design of a GUI application that serves as an educational and analytical tool. The GUI application is intended for educational purposes, allowing users to learn about the linear and renewable energy sources. This GUI has been designed to explain, teach, and implement maximum power point tracking (MPPT) techniques…
Descriptors: Engineering Education, Energy, Scientific Concepts, Teaching Methods
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Holly Robson; Harriet Thomasson; Matthew H. Davis – International Journal of Language & Communication Disorders, 2024
Background: The use of telepractice in aphasia research and therapy is increasing in frequency. Teleassessment in aphasia has been demonstrated to be reliable. However, neuropsychological and clinical language comprehension assessments are not always readily translatable to an online environment and people with severe language comprehension or…
Descriptors: Aphasia, Severity (of Disability), Videoconferencing, Comparative Analysis
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Belle Li; Curtis J. Bonk; Chaoran Wang; Xiaojing Kou – IEEE Transactions on Learning Technologies, 2024
This exploratory analysis investigates the integration of ChatGPT in self-directed learning (SDL). Specifically, this study examines YouTube content creators' language-learning experiences and the role of ChatGPT in their SDL, building upon Song and Hill's conceptual model of SDL in online contexts. Thematic analysis of interviews with 19…
Descriptors: Independent Study, Language Acquisition, Artificial Intelligence, Computer Mediated Communication
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Sanda Vere?; Ana-Simona Ilie; Paula Maria Buda – Romanian Review of Geographical Education, 2024
The purpose of this study is to investigate primary school teachers' perceptions regarding the frequency of using educational platforms, digital applications, and videos for teaching science and geography. Data collection was carried out through a questionnaire survey in which 107 primary school teachers voluntarily participated. The analysis…
Descriptors: Films, Elementary School Students, Teaching Methods, Computer Games
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Ka-Yan Fung; Kit-Yi Tang; Tze Leung Rick Lui; Kuen-Fung Sin; Lik-Hang Lee; Huamin Qu; Shenghui Song – IEEE Transactions on Learning Technologies, 2024
Prescreening children for specific learning disabilities, e.g., dyslexia, is essential for effective intervention. With a quick and reliable prescreening result, special education coordinators (SENCOs) can provide students with early intervention and relieve their learning pressure. Unfortunately, due to the limited resources, many students in…
Descriptors: Dyslexia, Children, Computer Software, Early Intervention
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