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Merga Dinssa Eticha; Adula Bekele Hunde; Tsige Ketema – Journal of Education, 2025
Ethiopia's education system has undergone numerous reforms to produce competent citizens capable of tackling real-world challenges. This study investigates the effects of a designed problem-solving method with metacognitive scaffolding in enhancing students' academic motivation and achievement. The study employed design-based research and…
Descriptors: Problem Solving, Learning Strategies, Metacognition, Scaffolding (Teaching Technique)
Mohammed Saqr; Wannisa Matcha; Nora'ayu Ahmad Uzir; Jelena Jovanovic; Dragan Gaševic; Sonsoles López-Pernas – Australasian Journal of Educational Technology, 2023
Learning strategies are important catalysts of students' learning. Research has shown that students with effective learning strategies are more likely to have better academic achievement. This study aimed to investigate students' adoption of learning strategies in different course implementations, the transfer of learning strategies between…
Descriptors: Problem Based Learning, Learning Strategies, Electronic Learning, Medical Students
Karinna A. Rodriguez; Yvonne K. Ralph; Isabela M. de la Rosa; Oriana P. Pinto Corro; Claudia D. Rey Ochoa; Shannon M. Pruden – Infant and Child Development, 2025
Relying on self-report to understand how children solve cognitive tasks has limitations, particularly with young children. Recent advances in eye-tracking technology allow researchers to leverage this tool to measure young children's strategies for solving cognitive tasks. The current study focuses on young children's mental rotation ability given…
Descriptors: Young Children, Eye Movements, Technology Uses in Education, Problem Solving
Gang Zhao; Lijun Yang; Biling Hu; Jing Wang – Journal of Educational Computing Research, 2025
Human-computer collaboration is an effective way to learn programming courses. However, most existing human-computer collaborative programming learning is supported by traditional computers with a relatively low level of personalized interaction, which greatly limits the efficiency of students' efficiency of programming learning and development of…
Descriptors: Artificial Intelligence, Man Machine Systems, Programming, Learning Strategies
Mohamad Arief Rafsanjani; Handri Dian Wahyudi; Retno Mustika Dewi; Putri Ulfa Kamalia – Journal on Efficiency and Responsibility in Education and Science, 2024
Understanding the predictor of learning achievement among college students is crucial to adopting the appropriate learning strategy. Academic buoyancy is one of the predictors of learning achievement, playing a vital role in helping students navigate academic setbacks and adversities. However, the previous studies failed to reveal a robust link…
Descriptors: College Students, Stress Variables, Learning Strategies, Predictor Variables
Bixi Zhang – ProQuest LLC, 2021
This dissertation is a three-piece dissertation, including two empirical research (Chapter 1 and Chapter 2) and a methodological improvement of prior work (Chapter 3), to address issues of the effects of approaches to learning on academic achievement in childhood and power analysis for a three-level model in meta-analysis. Approaches to learning…
Descriptors: Learning Strategies, Academic Achievement, Correlation, Meta Analysis
Sally F. Shady – Biomedical Engineering Education, 2025
Challenge: As biomedical engineers revolutionize medicine, biomedical engineering programs must adapt to the diverse learning styles of the current student population. Students are learning in new ways and instructional strategies need to be adopted. Novel Initiative: Understanding generational attributes is crucial for developing effective…
Descriptors: Undergraduate Students, Biomechanics, Science Instruction, Problem Based Learning
Enoch Kabinaa Suglo – Online Submission, 2024
The study aimed to investigate the impact of incorporating deep learning strategies in mathematics instruction on students' problem-solving abilities, critical thinking skills, academic achievement, and mathematical skills development. The study population consisted of 280 students, with a sample size of 162 participants. Employing a purely…
Descriptors: Outcomes of Education, Learning Activities, Mathematics Education, Mathematics Achievement
Ghadeer Sawalha; Imran Taj; Abdulhadi Shoufan – Cogent Education, 2024
Large language models present new opportunities for teaching and learning. The response accuracy of these models, however, is believed to depend on the prompt quality which can be a challenge for students. In this study, we aimed to explore how undergraduate students use ChatGPT for problem-solving, what prompting strategies they develop, the link…
Descriptors: Cues, Artificial Intelligence, Natural Language Processing, Technology Uses in Education
Dinç, Emre; Sezgin-Memnun, Dilek; Lee, Eunseo; Aydin, Bünyamin – International Association for Development of the Information Society, 2022
This study investigated how motivational orientations and learning strategies predict ninth graders' non-routine mathematical problem-solving anxiety. Non-routine mathematical problem-solving anxiety classification and prediction were investigated through TwoStep cluster analysis, linear discriminant analysis, and logistic regression. 274 ninth…
Descriptors: Learning Strategies, Problem Solving, Mathematics, Grade 9
Chi-Jen Lin; Husni Mubarok; Rakha Ramadhana A.B.; Samuel Gasperius; Chia-Ying Liu; Salisa Sawettanun; Kantapat Meesomyut; Ling-Rong Zheng – Interactive Learning Environments, 2024
This systematic review aimed to investigate the role of technology as a solution in Speech-Language Pathology (SLP). A total of 49 articles published between 2004 and 2023 were examined to gather information on general aspects, methodology, technology implementation, learning outcomes, and limitations and solutions related to technology-enhanced…
Descriptors: Educational Trends, Technology Uses in Education, Learning Strategies, Speech Language Pathology
Fowler, Kristen; Skinner, Christopher H.; Cates, Gary L.; Poncy, Brian; Duhon, Gary J.; Belfiore, Phillip J. – Preventing School Failure, 2022
Teachers focused on prevention of academic problems should apply procedures that enhance learning speed, or learning as a function of the time that the learner spends engaged in the intervention(s). Although few researchers evaluate or compare academic interventions using precise measures of learning speed, several strategies for modifying…
Descriptors: Learning Problems, Academic Achievement, Teaching Methods, Intervention
Obeua S. Persons – Journal of Instructional Pedagogies, 2023
This article presents "Be a coach instead of a judge" pedagogy that has resulted in significant improvement in college student learning/performance, highly favorable student comments and better teaching evaluations. This pedagogy inspires students to learn by embracing empathy, enthusiasm, positivity and trust along with other learning…
Descriptors: Coaching (Performance), Academic Achievement, Teacher Student Relationship, Learner Engagement
Núñez Lira, Luis Alberto; Novoa Castillo, Pedro Félix; Majo Marrufo, Helga Ruth; Salvatierra Melgar, Ángel – Journal of Educational Psychology - Propositos y Representaciones, 2019
Mind maps are usually employed by teachers from all the educational levels as powerful learning strategies. This use enables important pedagogic achievements, but they do not exceed their maximum level, due to the dogmatic use of Tony Buzan's mind map (1996). Situation that would be different if it were entirely internalized, understand and…
Descriptors: Cognitive Mapping, Academic Achievement, Intelligence, High School Students
Corin D. Mathews – South African Journal of Childhood Education, 2025
Background: Base-ten thinking (BTT) -- children's ability to reason in tens and ones is a crucial measure of Foundation Phase learners' mathematical performance in South Africa. Aim: The study looks at the six learners using BTT to solve additive tasks through two different assessments. Setting: Six purposely selected Grade 3 learners in…
Descriptors: Evaluation Methods, Task Analysis, High Achievement, Low Achievement

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