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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
Simon Quick; John Lyle – Journal of Teaching in Physical Education, 2024
Psychology-based research has been a characteristic of empirical inquiry in sport coaching for over 50 years, and cognitive function is widely accepted as a fundamental component of sport coaching expertise. Within the academic literature, much empirical research on coaches' cognitions has tended to adopt retrospective approaches, such as…
Descriptors: Athletic Coaches, Team Sports, Cognitive Processes, Psychological Patterns
Santos, Catarina; Barbosa, Ana – International Journal of Education in Mathematics, Science and Technology, 2023
Traditionally, students experience difficulties solving problems involving geometric shapes and their properties. In line with the current curricular guidelines, it's important to reflect about the use of active learning strategies, which directly engage students in meaningful mathematical activity, that contribute to reverse this situation. This…
Descriptors: Written Language, Feedback (Response), Geometry, Problem Solving
Jørgen Sjaastad – For the Learning of Mathematics, 2024
Years of failed attempts to engage my mathematics teacher students in exploration and co-creation led me to radically change my teaching approach. Inspired by literature that uses the jazz improv metaphor for teaching, I derived three tenets based on principles from jazz improv. First, I would bring no more than a single problem-solving task to…
Descriptors: Creative Activities, Mathematics Instruction, Teaching Methods, Learner Engagement
Matsuda, Noboru – International Journal of Artificial Intelligence in Education, 2022
This paper demonstrates that a teachable agent (TA) can play a dual role in an online learning environment (OLE) for learning by teaching--the teachable agent working as a synthetic peer for students to learn by teaching and as an interactive tool for cognitive task analysis when authoring an OLE for learning by teaching. We have developed an OLE…
Descriptors: Artificial Intelligence, Teaching Methods, Intelligent Tutoring Systems, Feedback (Response)
Barbosa Rocha, Hemilis Joyse; Cabral De Azevedo Restelli Tedesco, Patrícia; De Barros Costa, Evandro – Informatics in Education, 2023
In programming problem solving activities, sometimes, students need feedback to progress in the course, being positively affected by the received feedback. This paper presents an overview of the state of the art and practice of the feedback approaches on introductory programming. To this end, we have carried out a systematic literature mapping to…
Descriptors: Classification, Computer Science Education, Feedback (Response), Problem Solving
Johan Sidenvall; Carina Granberg; Johan Lithner; Björn Palmberg – International Journal of Mathematical Education in Science and Technology, 2024
The purpose of this intervention study was to develop and evaluate a support model for teachers, designed to assist them in diagnosing students' (age 16-19 years) difficulties and providing feedback to support students' mathematical problem solving. Reporting on an iteration in a design research project, the results showed that the support helped…
Descriptors: Mathematics Instruction, Late Adolescents, Problem Solving, Mathematics Skills
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
Stacy Shamlin Junjulas; Jennifer Lasater McKinney; Kristie Byrne Chandler – Alabama Journal of Educational Leadership, 2024
This quantitative descriptive study, a collaborative effort of the research team and 316 Alabama public high school leaders is significant as it identifies the intervention strategies used in Alabama's public high schools and the school principals' perceived effectiveness of these strategies in improving student performance on the math portion of…
Descriptors: Mathematics Instruction, Teaching Methods, Secondary School Mathematics, Mathematics Achievement
Christina Areizaga Barbieri; Brianna L. Devlin – Journal of Computer Assisted Learning, 2024
Background: Providing students with worked out problem solutions is a beneficial instructional technique in STEM disciplines, and studying examples that have been worked out incorrectly may be especially helpful for reducing misconceptions in students with low prior content knowledge. However, past results are inconclusive and the effects of…
Descriptors: STEM Education, Misconceptions, Fractions, Error Patterns
Zhihan Lv Ed. – IGI Global, 2024
The rapid adoption of deep learning models has resulted in many business services becoming model services, yet most AI systems lack the necessary automation and industrialization capabilities. This leads to heavy reliance on manual operation and maintenance, which not only consumes power but also causes resource wastage and stability issues during…
Descriptors: Artificial Intelligence, Robotics, Computer Software, Problem Solving
Eisa Rezaei; Sepide Sadat Beheshti Shirazi – Education and Information Technologies, 2024
Assessment plays a crucial role in the learning process and significantly impacts students' understanding of tasks and their engagement. With the increasing popularity of e-learning, cognitive assessment methods are becoming more prevalent, and they can help develop students' high-order thinking skills (HOTS). Thinking-Aloud Peer Assessment (TAPA)…
Descriptors: Peer Evaluation, Problem Solving, Communication (Thought Transfer), Cognitive Processes
Patricia Brady – ProQuest LLC, 2024
In this portfolio, I reflect on my efforts to provide professional development targeted to support teachers during the launch phase of their mathematics teaching, to elicit and respond to student ideas and experiences. I grounded my study in research on ambitious teaching practices for launching complex mathematical tasks using problem-based…
Descriptors: Mathematics Instruction, Faculty Development, Mathematics Teachers, Teaching Methods
Stephanie Lynn Blanton – ProQuest LLC, 2024
This convergent mixed methods study investigated the relationship between the assessment-capable learning (ACL) instructional model, John Hattie's influence referred to as "students driving their own learning," and math achievement in kindergarten. While Visible Learning literature has focused on secondary and higher education, this…
Descriptors: Kindergarten, Early Childhood Education, Early Childhood Teachers, Mathematics Achievement

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