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Kathryn Hatherly; Sheila T. F. Moodie; Olivia Daub; Cindy Earle; Barbara Jane Cunningham – Child Language Teaching and Therapy, 2025
Supportive parent-child interactions are critical for facilitating typically developing children's language and social skill development. For children who are late-to-talk, parent-child interactions may be particularly important to address as a means of supporting growth in children's early language abilities. Target Word is one parent-implemented…
Descriptors: Toddlers, Parents as Teachers, Parent Child Relationship, Delayed Speech
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Yew Kong Lee; Ping Yein Lee; Yee Ling Lau; Chirk Jenn Ng; Wei Leik Ng; Thiam Kian Chiew; Adina Abdullah; Jamuna Vadivelu; Amirah Amir; Christina Phoay Lay Tan; Caroline Kwong Leng Chin – Journal of Applied Research in Higher Education, 2025
Purpose: This study aimed to evaluate the effectiveness of using a virtual patient (VP) software program in increasing clinical reasoning skills confidence among medical students. Design/methodology/approach: A quasi-experimental design was used to compare the outcomes of students' confidence levels on clinical reasoning between problem-based…
Descriptors: Foreign Countries, Medical Students, Clinical Diagnosis, Computer Simulation
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Amy Pallant; Christopher Lore; Hee-Sun Lee; Stephanie Seevers; Trudi Lord – Journal of Geoscience Education, 2025
This paper describes how plate tectonics and rock genesis, two topics that are typically addressed separately in secondary Earth science classes, can be taught together as an integrated system. We define the TecRocks Reasoning Framework, developed to support student reasoning about rock formation situated in the context of plate tectonics. We also…
Descriptors: Secondary School Science, Secondary School Students, Geology, Plate Tectonics
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Guillaume Decormeille; Thomas Geeraerts; Médéric Descoins; Nathalie Huet – Applied Cognitive Psychology, 2025
Screen-based simulation (SBS) can complement traditional nursing courses. We compared the effect of innovative virtual environments not widespread in French nursing schools on self-efficacy, quiz performance, and self-regulated learning behaviors. This quasi-experimental study involved 1183 student nurses. Participants were divided into an…
Descriptors: Foreign Countries, Nursing Education, Nursing Students, Computer Simulation
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Gabrielle T. Lee; Xiaoyi Hu; Zhuojin Yu; Xiumei Hu; Nicole Luke – Journal of Special Education Technology, 2025
The purpose of this study was to evaluate the feasibility and effectiveness of computer-assisted instruction (CAI) implemented by special education teachers in a school setting in China. Feasibility was evaluated by procedural fidelity of teacher implementation and a social validity questionnaire. Effectiveness was measured by the acquisition of…
Descriptors: Computer Assisted Instruction, Special Education Teachers, Students with Disabilities, Autism Spectrum Disorders
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Adem Koç; Sedat Kanadli – Journal of Science Education and Technology, 2025
This study used network meta-analysis to investigate the impact of the use of interactive learning environments (ILE) tools (augmented reality (AR), virtual reality (VR), mixed reality (MIX), and interactive digital games (GAME)) in science education on learning outcomes. A total of 53 primary studies were retrieved from the literature according…
Descriptors: Interaction, Cooperative Learning, Educational Environment, Outcomes of Education
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Philip Slobodsky; Mariana Durcheva – International Journal of Mathematical Education in Science and Technology, 2025
AI-based bots (ChatGPT) are capable of solving mathematics problems, and students often use them for homework preparation, self-learning, etc. This raises a number of didactical and technical questions: How can students submit assignments containing complex mathematical expressions using only a keyboard? How should mathematics errors in ChatGPT's…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Mathematics Instruction
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Thada Jantakoon; Thiti Jantakun; Kitsadaporn Jantakun; Weerapa Pongpanich; Rungfa Pasmala; Panita Wannapiroon; Prachyanun Nilsook – Contemporary Educational Technology, 2025
The increasing integration of artificial intelligence (AI) in education has raised significant questions about its pedagogical value, especially in language learning. This meta-analysis examines the extent to which AI contributes to the development of English-speaking and listening skills. A systematic review of the literature was conducted by the…
Descriptors: Literature Reviews, Meta Analysis, Artificial Intelligence, Listening Skills
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Mikyung Shin; Jiyeon Park – Society for Research on Educational Effectiveness, 2025
Background: A single-case design focuses on individual performance and measures the causal relationships between variables (Kazdin, 2019). This experimental design enables researchers to measure the learning behaviors of individual participants over time across phases and assess the effectiveness of an instructional strategy in improving or…
Descriptors: Causal Models, Statistical Inference, Statistical Data, Research Design
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Yahaya, Jamaiah; Fadzli, Sazrol; Deraman, Aziz; Yahaya, Noor Zaitun; Halim, Lilia; Rais, Izhar Abadi Ibrahim; Ibrahim, Siti Rohana Ahmad – Education and Information Technologies, 2022
Pollution from quarry activities has a substantial environmental impact on many countries. This issue should be addressed accordingly as its impact may introduce various health-related problems to the surrounding community. One alternative is to increase awareness for the younger generation and society at large. However, environmental data…
Descriptors: STEM Education, Models, Computer Assisted Instruction, Environmental Education
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Kang, Hyeon-Ah; Han, Suhwa; Kim, Doyoung; Kao, Shu-Chuan – Educational and Psychological Measurement, 2022
The development of technology-enhanced innovative items calls for practical models that can describe polytomous testlet items. In this study, we evaluate four measurement models that can characterize polytomous items administered in testlets: (a) generalized partial credit model (GPCM), (b) testlet-as-a-polytomous-item model (TPIM), (c)…
Descriptors: Goodness of Fit, Item Response Theory, Test Items, Scoring
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Chevalère, Johann; Cazenave, Loreleï; Berthon, Mickaël; Martinez, Ruben; Mazenod, Vincent; Borion, Marie-Claude; Pailler, Delphine; Rocher, Nicolas; Cadet, Rémi; Lenne, Catherine; Maïonchi-Pino, Norbert; Huguet, Pascal – Journal of Computer Assisted Learning, 2022
Background: As educational digital technologies are increasingly being used in schools, past research left unanswered the question of these technologies' impact on the socioeconomic achievement gap even when equal access is guaranteed. Objectives: The objectives of the present study are to examine whether and how the socioeconomic achievement gap…
Descriptors: Computer Assisted Instruction, Socioeconomic Status, Achievement Gap, Conventional Instruction
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Goksu, Idris; Ozkaya, Ebru; Gunduz, Ali – Computer Assisted Language Learning, 2022
The primary aim of this study was to investigate the methodological trends of the articles published in the "Computer Assisted Language Learning (CALL)" journal between 2014 and 2019 via content analysis. The secondary aim was to analyze the "CALL" journal with the bibliometric mapping method to reveal the keyword trend and…
Descriptors: Content Analysis, Bibliometrics, Computer Assisted Instruction, Second Language Learning
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Bangou, Francis – Canadian Journal of Learning and Technology, 2022
This article puts to use the work of Deleuze and Guattari to build new knowledge and understanding associated with the circumstantial nature of becoming a technology-capable language teacher through experimentations with/in the agencements of an ongoing research project associated with the design and delivery of a 12-week online graduate course in…
Descriptors: Technology Integration, Graduate Students, Computer Assisted Instruction, Second Language Instruction
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Malik, Manish; Sime, Julie-Ann – IEEE Transactions on Education, 2022
Contribution: This multicase study compares computer orchestrated learning together (COLT) and student orchestrated learning together (SOLT) in cooperatively preparing first year university students for collaborative activities. COLT using computer orchestrated group learning environment (COGLE) was perceived efficient, effective, and inclusive…
Descriptors: College Freshmen, Teamwork, Computer Assisted Instruction, Trust (Psychology)
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