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Hardi Sigus; Kaja Mädamürk – Discover Education, 2025
Word problems are frequently taught in shallow contexts, where students primarily use procedural knowledge to solve problems and struggle to transfer their learning to real-life situations. This study examines how extra-mathematical knowledge and motivation may enhance the learning process. The study involved 345 fifth-grade students (51.2% male)…
Descriptors: Student Motivation, Numeracy, Knowledge Level, Mathematics Education
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Gwo-Jen Hwang; Chun-Chun Chang; Chin-Ya Juan – Educational Technology Research and Development, 2025
Problem-posing has been regarded as a potential method to engage students in deeper thinking; however, without sufficient supports, most students could encounter difficulties in posing quality problems. In this study, a concept mapping-based online cooperative problem-posing (CM-OCPP) approach is proposed to guide students to complete…
Descriptors: Learning Processes, Learning Strategies, Concept Mapping, Electronic Learning
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Rebecca S. Ward; Stephanie H. Jones; Tatiana Pullar; Celia Celona – Education and Treatment of Children, 2025
Demand fading involves the removal and gradual reintroduction of demands and has been shown to effectively reduce escape-maintained challenging behavior. However, it is currently unclear if there are common demand fading practices when demand fading is used as an initial intervention rather than as a method for schedule thinning after another…
Descriptors: Behavior Modification, Reinforcement, Intervention, Learning Processes
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Mohammad Nayef Ayasrah; Mohamad Ahmad Saleem Khasawneh; Mazen Omar Almulla; Amoura Hassan Aboutaleb – Journal of Computer Assisted Learning, 2025
Background: One area that has been dramatically changed by artificial intelligence (AI) is educational environments. Chatbots, Recommender Systems, Adaptive Learning Systems and Large Language Models have been emerging as practical tools for facilitating learning. However, using such tools appropriately is challenging. In this regard, the…
Descriptors: Test Construction, Test Validity, Test Reliability, Rating Scales
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Sebastian Straub; Isis Tunnigkeit; Julia Eberle; Arlind Avdullahu; Nikol Rummel – International Journal of Computer-Supported Collaborative Learning, 2025
A key challenge in CSCL research is to find ways to support learners in becoming effective collaborators. While the effectiveness of external collaboration scripts is well established, there is a need for research into support that acknowledges learners' autonomy during collaboration. In the present study, we compare an external collaboration…
Descriptors: Cooperative Learning, Interaction, Scripts, Computer Assisted Instruction
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Cheng-Wen He; Logan Fiorella; Paula P. Lemons – Educational Psychology Review, 2025
This study tested competing theories about the effectiveness of different instructional sequences for learners with different levels of prior knowledge. Across two classroom experiments, undergraduates learned about noncovalent interactions in biochemistry by either receiving explicit instruction before problem-solving (I-PS group) or engaging in…
Descriptors: Instructional Effectiveness, Problem Solving, Prior Learning, Learning Processes
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Sebastian Stuppan; Markus Rehm; Tessa J. P. van Schijndel; Markus Wilhelm – International Journal of STEM Education, 2025
Background: In STEM education, tasks are essential for organizing and designing teaching-learning processes, as they give concrete form to curricular goals and content standards. Tasks that build on each other and initiate a learning process are particularly effective. Tasks are often specified according to their function (confrontation,…
Descriptors: STEM Education, Problem Solving, Learner Engagement, Epistemology
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Ümmühan Avci; Hatice Yildiz Durak – Psychology in the Schools, 2025
Design thinking has become an important process in many fields to encourage innovation toward problem solving skills in various fields. In the field of education, design thinking has been incorporated into curriculums as it contributes both to higher order thinking skills and to the learning process with its flexible and dynamic nature. However,…
Descriptors: Design, Learning Activities, Thinking Skills, Problem Solving
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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
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Hyunkyung Chee; Solmoe Ahn; Jihyun Lee – British Journal of Educational Technology, 2025
This study aims to develop a comprehensive competency framework for artificial intelligence (AI) literacy, delineating essential competencies and sub-competencies. This framework and its potential variations, tailored to different learner groups (by educational level and discipline), can serve as a crucial reference for designing and implementing…
Descriptors: Competence, Digital Literacy, Artificial Intelligence, Technology Uses in Education
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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
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Anirudhan Badrinath; Zachary Pardos – Journal of Educational Data Mining, 2025
Bayesian Knowledge Tracing (BKT) is a well-established model for formative assessment, with optimization typically using expectation maximization, conjugate gradient descent, or brute force search. However, one of the flaws of existing optimization techniques for BKT models is convergence to undesirable local minima that negatively impact…
Descriptors: Bayesian Statistics, Intelligent Tutoring Systems, Problem Solving, Audience Response Systems
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Hui Luan; Yi-Lun Syu; Min-Hsien Lee; Chin-Chung Tsai – Science Education, 2025
The core function of science education is to equip students with scientific literacy, enabling them to understand complex environmental challenges and actively engage in proenvironmental behaviors. Therefore, understanding students' conceptions of environmental education is crucial for advancing environmental education. In this study, we explored…
Descriptors: Undergraduate Students, Student Attitudes, Scientific Literacy, Environmental Education
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Linjing Wu; Xuelin Xiang; Xueyan Yang; Xuan Jin; Liang Chen; Qingtang Liu – Educational Technology Research and Development, 2025
Problem-solving strategies are crucial in learning programming. Owing to their hidden nature, traditional methods such as interviews and questionnaires cannot reflect the details and differences of problem-solving strategies in programming. This study uses the Hidden Markov Model to detect and compare the problem-solving strategies of different…
Descriptors: Markov Processes, Problem Solving, Programming, Identification
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Kerstin Helker; Miguel Bruns; Isabelle M. M. J. Reymen; Jan D. Vermunt – Active Learning in Higher Education, 2025
Responding to calls for more future-oriented teaching and learning, an increasing number of institutions of higher education have recently implemented challenge-based learning (CBL). Through work on open-ended and real-life challenges, CBL aims to stimulate students to take the lead in their own learning, acquire and apply knowledge relevant for…
Descriptors: Problem Based Learning, Learning Processes, Difficulty Level, Higher Education
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