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Zumrotul ‘Aliyah; Sunaryono Sunaryono; Khusaini Khusaini; Bakhrul Rizky Kurniawan – Journal of Science Learning, 2025
In the context of physics education, it is imperative that educators prioritize the development of students' problem-solving abilities. Given the interdisciplinary nature of physics and its relevance to everyday life, students must possess robust problem-solving skills. However, conventional and uninspiring learning approaches have been shown to…
Descriptors: Feedback (Response), Web Sites, Educational Technology, Problem Solving
Gwo-Jen Hwang; Hsin Huang; Hui-Yun Chen – Education and Information Technologies, 2025
Enhancing students' civic literacy is considered an essential educational goal in the 21st century. Therefore, in the teaching process, how to provide students with opportunities to solve problems and how to provide immediate feedback to help students make correct decisions when facing real problems are important and challenging issues. Digital…
Descriptors: Civics, Positive Attitudes, Learning Processes, Behavior
Sonja Dieterich; Stefan Rumann; Marc Rodemer – Educational Psychology Review, 2025
Example-based learning is a well-known instructional method for effective cognitive skill acquisition in complex domains. "(Contrasting) erroneous examples" are a promising extension that embed errors in instructional material, potentially fostering not only positive but negative knowledge. However, the mechanisms and conditions for…
Descriptors: Learning Processes, Teaching Methods, Instructional Effectiveness, Models
Janet Metcalfe; Judy Xu; Matti Vuorre; Robert Siegler; Dylan Wiliam; Robert A. Bjork – British Journal of Educational Psychology, 2025
Background: Although the generation of errors has been thought, traditionally, to impair learning, recent studies indicate that, under particular feedback conditions, the commission of errors may have a beneficial effect. Aims: This study investigates the teaching strategies that facilitate learning from errors. Materials and Methods: This 2-year…
Descriptors: Error Patterns, Error Correction, Direct Instruction, Test Preparation
Zhongzhou Chen; Tong Wan – Physical Review Physics Education Research, 2025
This study examines the feasibility and potential advantages of using large language models, in particular GPT-4o, to perform partial credit grading of large numbers of student written responses to introductory level physics problems. Students were instructed to write down verbal explanations of their reasoning process when solving one conceptual…
Descriptors: Grading, Technology Uses in Education, Student Evaluation, Science Education
Rebecca A. Roesler – String Research Journal, 2025
This investigation explored collaborative problem solving with and without a coach by analyzing problem-solving (PS) and problem-solving-prompting (PSP) behaviors by group members and coaches in six total coached rehearsals with three collegiate string quartets, and six autonomous rehearsals with the same string quartets. Teachers' and learners'…
Descriptors: Music Education, Cooperative Learning, Problem Solving, Classical Music
Kristy Hynes; Tracy Gershwin; Jason Robinson; Chrissa Mitchell – Beyond Behavior, 2025
Meaningful student-teacher relationships form a crucial foundation for teachers to deliver effective interventions leading to better outcomes for students with challenging behavior. By implementing simple recommendations for facilitating genuine and intentional interactions with students and regulating their own emotional responses, teachers can…
Descriptors: Teacher Student Relationship, Interaction, Behavior Problems, Student Behavior
Clayton Cohn; Caitlin Snyder; Joyce Horn Fonteles; Ashwin T. S.; Justin Montenegro; Gautam Biswas – British Journal of Educational Technology, 2025
Recent advances in generative artificial intelligence (AI) and multimodal learning analytics (MMLA) have allowed for new and creative ways of leveraging AI to support K12 students' collaborative learning in STEM+C domains. To date, there is little evidence of AI methods supporting students' collaboration in complex, open-ended environments. AI…
Descriptors: Cooperation, Researchers, Artificial Intelligence, STEM Education
Arinjoy Basak; Nicole P. Pitterson; Clifford A. Shaffer; Sneha Patel Davison; David A. Dillard; Jacob Grohs – Advances in Engineering Education, 2025
Motivated by the benefits of repeated deliberate practice, we created an interactive exercise system for use in an undergraduate engineering mechanics class that focuses on practicing learned fundamental concepts. These exercises take the form of traditional word problems commonly found in mechanics courses, involving things like selecting and…
Descriptors: Usability, Electronic Learning, Computer Mediated Communication, Engineering Education
Xieling Chen; Haoran Xie; Di Zou; Lingling Xu; Fu Lee Wang – Educational Technology & Society, 2025
In massive open online course (MOOC) environments, computer-based analysis of course reviews enables instructors and course designers to develop intervention strategies and improve instruction to support learners' learning. This study aimed to automatically and effectively identify learners' concerned topics within their written reviews. First, we…
Descriptors: Classification, MOOCs, Teaching Skills, Artificial Intelligence
Conrad Borchers; Tianze Shou – Grantee Submission, 2025
Large Language Models (LLMs) hold promise as dynamic instructional aids. Yet, it remains unclear whether LLMs can replicate the adaptivity of intelligent tutoring systems (ITS)--where student knowledge and pedagogical strategies are explicitly modeled. We propose a prompt variation framework to assess LLM-generated instructional moves' adaptivity…
Descriptors: Benchmarking, Computational Linguistics, Artificial Intelligence, Computer Software
Arief Ardiansyah; I Nyoman Sudana Degeng; Dedi Kuswandi; Henry Praherdhiono – Turkish Online Journal of Distance Education, 2025
High-order thinking skills are crucial in pursuing competency mastery within Islamic higher education. A viable approach to attain these educational goals is implementing the Peer Instruction strategy. Nevertheless, a comprehensive model for peer instruction in blended learning environments still needs to be developed. This research seeks to…
Descriptors: Blended Learning, Islam, Religious Schools, College Students
Marley Belot – Online Submission, 2025
Space exploration requires individuals who can think critically, adapt to uncertainty, and learn in cognitively complex environments. This paper examines how Human Systems Engineering (HSE) and cognitive design principles can enhance both astronaut training and STEM education on Earth. The same methodologies that help astronauts manage stress,…
Descriptors: Human Factors Engineering, Cognitive Processes, STEM Education, Aerospace Education
Paul Tschisgale; Marcus Kubsch; Peter Wulff; Stefan Petersen; Knut Neumann – Physical Review Physics Education Research, 2025
Problem solving is considered an essential ability for becoming an expert in physics, and individualized feedback on the structure of problem-solving processes is a key component to support students in developing this ability. Problem-solving processes consist of multiple elements whose order forms the sequential structure of these processes.…
Descriptors: Problem Solving, Physics, Science Instruction, Teaching Methods
Eva de Schipper; Remco Feskens; Franck Salles; Saskia Keskpaik; Reinaldo dos Santos; Bernard Veldkamp; Paul Drijvers – Large-scale Assessments in Education, 2025
Background: Students take many tests and exams during their school career, but they usually receive feedback about their test performance based only on an analysis of the item responses. With the increase in digital assessment, other data have become available for analysis as well, such as log data of student actions in online assessment…
Descriptors: Problem Solving, Mathematics Instruction, Learning Analytics, Identification
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