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Thuy Dung Pham Thi; Nam Tien Duong – Education and Information Technologies, 2024
With the explosive growth of various applications on the Internet, higher education institutions have advocated distance learning courses, making research on online learning increasingly important. This study attempts to emphasize the characteristics of instruction in online learning systems, using the Theory of Planned Behavior. Two groups of…
Descriptors: Electronic Learning, College Students, Behavior Theories, Intention
Chih-Hung Lin; Dadan Sumardani – Interactive Learning Environments, 2024
Virtual Reality (VR) has been widely adopted in educational research; however, its implementation in the classroom is still not as well known as in the research field. In other words, there is a gap between researchers and practitioners regarding the pedagogical issue. This study aimed to explore how VR could be applied in science classrooms using…
Descriptors: Computer Simulation, Teaching Methods, Science Education, Authentic Learning
Alejandra J. Magana; Joreen Arigye; Abasiafak Udosen; Joseph A. Lyon; Parth Joshi; Elsje Pienaar – International Journal of STEM Education, 2024
Background: This study posits that scaffolded team-based computational modeling and simulation projects can support model-based learning that can result in evidence of representational competence and regulatory skills. The study involved 116 students from a second-year thermodynamics undergraduate course organized into 24 teams, who worked on…
Descriptors: Scaffolding (Teaching Technique), Thermodynamics, Science Education, Undergraduate Study
Tahereh Taherian; Majid Elahi Shirvan; Elham Yazdanmehr; Mariusz Kruk; Miroslaw Pawlak – Asia-Pacific Education Researcher, 2024
The present research used a longitudinal framework to test a model of willingness to communicate (L2WTC), informal digital learning of English (IDLE), and foreign language boredom (FLB) in learning English as a foreign language among 325 Iranian university students attending a course in general English for 4 months via a latent change score…
Descriptors: Electronic Learning, Informal Education, English (Second Language), Models
Aislinn Keogh; Simon Kirby; Jennifer Culbertson – Cognitive Science, 2024
General principles of human cognition can help to explain why languages are more likely to have certain characteristics than others: structures that are difficult to process or produce will tend to be lost over time. One aspect of cognition that is implicated in language use is working memory--the component of short-term memory used for temporary…
Descriptors: Language Variation, Learning Processes, Short Term Memory, Schemata (Cognition)
Saba Sareminia; Vida Mohammadi Dehcheshmeh – International Journal of Information and Learning Technology, 2024
Purpose: Although E-learning has been in use for over two decades, running parallel to traditional learning systems, it has gained increased attention due to its vital role in universities in the wake of the COVID-19 pandemic. The primary challenge within E-learning pertains to the maintenance of sustainable effectiveness and the assurance of…
Descriptors: Educational Improvement, Electronic Learning, Personality Traits, Models
Anne Horak; Kimberley Daly; Shannon King – Prufrock Press, 2024
"Creating Equity and Access for Gifted Learners" provides an overview of how and why to implement the ExCEL Problem-based Learning Instruction Model as a change initiative in classrooms, and the impact that this model has had on gifted programs. The product of evidence from two federally-funded Jacob K. Javits grants, The ExCEL Model is…
Descriptors: Equal Education, Access to Education, Academically Gifted, Problem Based Learning
Oscar Blessed Deho; Lin Liu; Jiuyong Li; Jixue Liu; Chen Zhan; Srecko Joksimovic – IEEE Transactions on Learning Technologies, 2024
Learning analytics (LA), like much of machine learning, assumes the training and test datasets come from the same distribution. Therefore, LA models built on past observations are (implicitly) expected to work well for future observations. However, this assumption does not always hold in practice because the dataset may drift. Recently,…
Descriptors: Learning Analytics, Ethics, Algorithms, Models
Shah, Veenita; Murthy, Sahana; Warriem, Jayakrishnan; Sahasrabudhe, Sameer; Banerjee, Gargi; Iyer, Sridhar – Educational Technology Research and Development, 2022
MOOCs support the global need of learning resources with large impact through online access and no geographical boundaries. However, pedagogical design limitations in MOOCs are known to result in passive role of the learner, lack of learner connect and engagement, limited interactivity with course content and peers, all of which result in low…
Descriptors: Student Centered Learning, Online Courses, Instructional Design, Models
David Rock; Mahmoud Danaee – Applied Linguistics, 2025
The socio-educational model suggests that social milieu influences individual characteristics, which in turn affect engagement in learning contexts, ultimately impacting linguistic and non-linguistic outcomes. Operationalized representations of the model tend to focus on relations among integrativeness, attitudes to the learning situation,…
Descriptors: Models, High School Students, English (Second Language), Second Language Instruction
Darmawansah Darmawansah; Gwo-Jen Hwang; Chi-Jen Lin; Febiyani Febiyani – Educational Technology Research and Development, 2025
Role-play tasks have long been used by researchers and practitioners to observe L2 (Second language) speaking performance. This social-situated simulation allows students to employ their language skills to converse about real-life themes. While role-plays are highly plausible to actively engage students in interactive learning environments, it has…
Descriptors: Artificial Intelligence, Second Language Learning, Role Playing, English (Second Language)
Elizabeth Boling; Victoria Abramenka-Lachheb; Dilnoza Kadirova; Merve Basdogan; Rajagopal Sankaranarayanan; Vanessa Johnson; Alyse Harris; Ahmed Lachheb – TechTrends: Linking Research and Practice to Improve Learning, 2025
As part of a larger study (Boling et al., 2024a, b), this paper reports on how instructional designers define and use precedent knowledge, including its sources, forms, and role in decision-making. Using a qualitative approach, we conducted semi-structured interviews with instructional designers from higher education and non-profit professional…
Descriptors: Prior Learning, Decision Making, Instructional Design, Program Validation
Haitao Yu – Science Insights Education Frontiers, 2025
The deepened understandings of the Double Reduction policy have instigated a transition from focusing on reduction in homework quantity to emphasizing homework quality in Chinese basic education. The digital transformation in education offers new opportunities to address the current issues with homework management, such as unscientific design of…
Descriptors: Homework, Educational Technology, Foreign Countries, Models
Eglington, Luke G.; Pavlik, Philip I., Jr. – International Journal of Artificial Intelligence in Education, 2023
An important component of many Adaptive Instructional Systems (AIS) is a 'Learner Model' intended to track student learning and predict future performance. Predictions from learner models are frequently used in combination with mastery criterion decision rules to make pedagogical decisions. Important aspects of learner models, such as learning…
Descriptors: Computer Assisted Instruction, Intelligent Tutoring Systems, Learning Processes, Individual Differences
Jablonski, Simone – Educational Studies in Mathematics, 2023
Mathematical modelling emphasizes the connection between mathematics and reality -- still, tasks are often exclusively introduced inside the classroom. The paper examines the potential of different task settings for mathematical modelling with real objects: outdoors at the real object itself, with photographs and with a 3D model representation. It…
Descriptors: Mathematics Instruction, Mathematical Models, Secondary School Students, Secondary School Mathematics

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