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Showing 1 to 15 of 145 results Save | Export
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Gang Lei – Interactive Learning Environments, 2024
With the emergence of the Industrial Revolution 4.0, modern technologies such as cloud computing, artificial intelligence, and big data are profoundly transforming the education ecosystem. The development of education is not only faced with huge challenges but also contains rare opportunities. New concepts such as deep learning, adaptive learning,…
Descriptors: Educational Technology, Artificial Intelligence, Blended Learning, Data
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Haowharn, Songsak; Ruangsuwan, Chaiyot – Journal of Educational Issues, 2022
Developing a virtual learning environment model to fortify life skills for teenagers in Thailand entails an application between information technology and communication for managing an instruction in life skills and expanding the opportunities of Thai teenagers to have access to the skills contents. The objectives of research were to develop the…
Descriptors: Foreign Countries, Adolescents, Daily Living Skills, Specialists
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Parekh, Priyanka; Gee, Elisabeth; Tran, Kelly; Aguilera, Earl; Pérez Cortés, Luis E.; Kessner, Taylor; Siyahhan, Sinem – International Journal of Science Education, 2021
Framing, implementing, and engaging youth in authentic scientific inquiry are highly valued in science education; however, we have very limited knowledge of the nature and use of tools that accomplish these. Therefore, we proposed that board game design is a meaningful tool for engaging youth in understanding environmental issues. We reported…
Descriptors: Environmental Education, Water Pollution, Scientific Literacy, Game Based Learning
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Dyson, Bronwen – Second Language Research, 2023
This article enters the debate about the complex and dynamical nature of second language acquisition (SLA) by discussing and commenting on Pallotti's critique of Complex Dynamic Systems Theory (CDST). Pallotti's critique brings to the fore the argument that, due to its anti-reductionist stance, CDST research fails to observe three fundamental…
Descriptors: Second Language Learning, Language Processing, Linguistic Theory, Language Research
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Rhodes, Katherine T.; Lukowski, Sarah; Branum-Martin, Lee; Opfer, John; Geary, David C.; Petrill, Stephen A. – Journal of Educational Psychology, 2019
The strategy choice model (SCM) is a highly influential theory of human problem-solving. One strength of this theory is the allowance for both item and person variance to contribute to problem-solving outcomes, but this central tenet of the model has not been empirically tested. Explanatory item response theory (EIRT) provides an ideal approach to…
Descriptors: Learning Strategies, Addition, Problem Solving, Item Response Theory
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Tiffany Tseng; Matt J. Davidson; Luis Morales-Navarro; Jennifer King Chen; Victoria Delaney; Mark Leibowitz; Jazbo Beason; R. Benjamin Shapiro – ACM Transactions on Computing Education, 2024
Machine learning (ML) models are fundamentally shaped by data, and building inclusive ML systems requires significant considerations around how to design representative datasets. Yet, few novice-oriented ML modeling tools are designed to foster hands-on learning of dataset design practices, including how to design for data diversity and inspect…
Descriptors: Artificial Intelligence, Models, Data Processing, Design
Rhodes, Katherine T.; Lukowski, Sarah; Branum-Martin, Lee; Opfer, John; Geary, David C.; Petrill, Stephen A. – Grantee Submission, 2018
The strategy choice model (SCM) is a highly influential theory of human problem-solving. One strength of this theory is the allowance for both item and person variance to contribute to problem-solving outcomes, but this central tenet of the model has not been empirically tested. Explanatory item response theory (EIRT) provides an ideal approach to…
Descriptors: Learning Strategies, Addition, Problem Solving, Item Response Theory
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Liu, Sannyuya; Peng, Xian; Cheng, Hercy N. H.; Liu, Zhi; Sun, Jianwen; Yang, Chongyang – Journal of Educational Computing Research, 2019
Course reviews, which is designed as an interactive feedback channel in Massive Open Online Courses, has promoted the generation of large-scale text comments. These data, which contain not only learners' concerns, opinions and feelings toward courses, instructors, and platforms but also learners' interactions (e.g., post, reply), are generally…
Descriptors: Course Evaluation, Online Courses, Student Attitudes, Course Content
El-Koumy, Abdel Salam A. – Online Submission, 2020
This revised edition updates and expands on the first edition published in 2016. In this revised edition, theories of different types of learning strategies are expanded and more recent studies are added. A large amount of tabular information is also reconstructed in a more meaningful manner. The book is divided into five chapters. Chapter one…
Descriptors: English (Second Language), Second Language Instruction, Learning Disabilities, Teaching Methods
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Kopecková, Romana; Gut, Ulrike; Wrembel, Magdalena; Balas, Anna – Second Language Research, 2023
This study investigates sources of phonological cross-linguistic influence (CLI) at the initial stages of third language (L3) acquisition in light of the predictions of the second language (L2) Status Factor Model, the Typological Primacy Model, the Cumulative Enhancement Model, the Linguistic Proximity Model and the Scalpel Model. The productions…
Descriptors: Phonology, Transfer of Training, Native Language, Second Language Learning
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Muhali; Yuanita, Leny; Ibrahim, Muslimin – Malaysian Journal of Learning and Instruction, 2019
Purpose: This study investigated the content and construct validity of the Reflective-Metacognitive Learning (RML) Model, and the effectiveness of the RML Model in comparison with Cognitive-Metacognitive Learning (CML) Model in improving students' metacognitive knowledge, skills, and awareness after the learning process. Methodology: This…
Descriptors: Models, Reflection, Metacognition, Student Improvement
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Dierendonck, Christophe; Milmeister, Paul; Kerger, Sylvie; Poncelet, Débora – International Journal of Behavioral Development, 2020
Few studies have used exploratory factor analysis (EFA) and exploratory bifactor factor analysis (EBFA) to define a baseline factor structure model checking the construct-relevant psychometric multidimensionality of student engagement. This study was conducted on a sample of 3,374 students in France, Wallonia-Brussels Federation, and Luxembourg by…
Descriptors: Learner Engagement, Behavior Problems, Foreign Countries, Secondary School Students
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Young, Kimberly J.; Ramsay, Samantha A.; Holyoke, Laura B. – Journal of Extension, 2016
Understanding the process by which adolescents learn about nutrition is necessary for developing tailored education that leads to sustainable behavior change. Teens aged 15-17 participating in an obesity prevention program were interviewed. From the data, three themes emerged and informed development of an adolescent nutrition learning model. The…
Descriptors: Adolescents, Nutrition Instruction, Models, Behavior Change
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Yavuz, Emine; Atar, Hakan Yavuz – International Journal of Assessment Tools in Education, 2020
Technological advancements initially made it possible for individuals with different cultures from different parts of the world to consider working together, and eventually collaboration turned into a necessity. Based on this necessity, OECD measured collaborative problem-solving (CPS) competencies of 15-year-old students from the countries…
Descriptors: Cooperative Learning, Teamwork, Problem Solving, 21st Century Skills
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Leent, Lisa; Mills, Kathy – Journal of Adolescent & Adult Literacy, 2018
Media literacy skills are focal for many educators across the globe in an age of ubiquitous access to the Internet and the rapid circulation of digital texts. A critical media literacies perspective is often a key element in teaching adolescents to read a range of texts. A queer critical media literacies pedagogy supports a social justice agenda…
Descriptors: Homosexuality, Critical Literacy, Media Literacy, Social Justice
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