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Wang, Karen D.; Cock, Jade Maï; Käser, Tanja; Bumbacher, Engin – British Journal of Educational Technology, 2023
Technology-based, open-ended learning environments (OELEs) can capture detailed information of students' interactions as they work through a task or solve a problem embedded in the environment. This information, in the form of log data, has the potential to provide important insights about the practices adopted by students for scientific inquiry…
Descriptors: Data Use, Educational Environment, Science Process Skills, Inquiry
Adrienne M. Pesce; Daniel B. King – Journal of Chemical Education, 2023
Novice chemists often struggle with the highly visual nature of some chemistry topics. To make visually demanding concepts, such as isomerism and stereochemistry, more accessible to students, chemistry instructors have long recommended the use of molecular model kits as visual aids. However, studies pertaining to student model usage have shown…
Descriptors: Student Attitudes, Molecular Structure, Science Teachers, Science Instruction
Anchalee Sangarwut; Meena Polsuwan – Higher Education Studies, 2025
The purposes of the current study were to examine the 5C social engineering model-based training program on Surat Thani Rajabhat University students and Khun Thale Subdistrict residents' problem solving and adaptability and to examine the participants' satisfaction learning with the 5C social engineering model-based training program. A training…
Descriptors: Foreign Countries, Curriculum Development, Engineering Education, Competency Based Education
Jian-Hong Ye; Mengmeng Zhang; Weiguaju Nong; Li Wang; Xiantong Yang – Education and Information Technologies, 2025
ChatGPT, as an example of generative artificial intelligence, possesses high-level conversational and problem-solving capabilities supported by powerful computational models and big data. However, the powerful performance of ChatGPT might enhance learner dependency. Although it has not yet been confirmed, many teachers and scholars are also…
Descriptors: Artificial Intelligence, College Students, Problem Solving, Student Attitudes
Hui-Tzu Chang; Chia-Yu Lin – IEEE Transactions on Education, 2024
Contribution: This study incorporates competition-based learning (CBL) into machine learning courses. By engaging students in innovative problem-solving challenges within information competitions, revealing that students' participation in online problem-solving competitions can improve their information technology, and showcase competitions can…
Descriptors: Competition, Artificial Intelligence, Curriculum, Problem Solving
Anh-Duc Hoang – International Education Journal: Comparative Perspectives, 2024
We conducted an experiment to determine the impact of short-term pressure on 1,228 Grade 8 students' outcomes when performing simple math exercises. We required all students to complete 100 simple math questions for 90 seconds. We analysed students' results and then divided them into three groups: (i) a control group who did nothing; (ii) a group…
Descriptors: Stress Variables, Academic Achievement, Outcomes of Education, Middle School Students
Sjöblom, Marie; Meaney, Tamsin – Educational Studies in Mathematics, 2021
Although group work is considered beneficial for problem solving, the listening that is needed for jointly solving mathematical problems is under-researched. In this article, the usefulness of two communication frameworks for understanding students' listening is examined, using data from an educational design research study in an upper secondary…
Descriptors: Group Activities, Listening, Problem Solving, Secondary School Mathematics
Bowers, Jonathan; Eidin, Emanuel; Damelin, Daniel; McIntyre, Cynthia – Science Teacher, 2022
The COVID-19 crisis has demonstrated the importance of being able to understand complex computational models for everyday life. To make sense of the evolving predictive models of the COVID-19 pandemic, global citizens need to have a firm grasp of both systems thinking (ST) and computational thinking (CT). ST is the ability to understand a problem…
Descriptors: Computation, Thinking Skills, Models, Systems Approach
Shane J. Ralston – Education and Culture, 2022
Philosophical pragmatists rarely receive credit for their contribution to virtue ethics. But perhaps they should. How did America's philosopher of democracy, John Dewey, and one of its most famous elder statesmen, Benjamin Franklin, advise troubled souls in search of moral improvement? According to James Campbell, Dewey and Franklin recommended…
Descriptors: Ethics, Values Education, Comparative Analysis, Educational Philosophy
Carol Eckerly; Yue Jia; Paul Jewsbury – ETS Research Report Series, 2022
Testing programs have explored the use of technology-enhanced items alongside traditional item types (e.g., multiple-choice and constructed-response items) as measurement evidence of latent constructs modeled with item response theory (IRT). In this report, we discuss considerations in applying IRT models to a particular type of adaptive testlet…
Descriptors: Computer Assisted Testing, Test Items, Item Response Theory, Scoring
Hai Li; Wanli Xing; Chenglu Li; Wangda Zhu; Simon Woodhead – Journal of Learning Analytics, 2025
Knowledge tracing (KT) is a method to evaluate a student's knowledge state (KS) based on their historical problem-solving records by predicting the next answer's binary correctness. Although widely applied to closed-ended questions, it lacks a detailed option tracing (OT) method for assessing multiple-choice questions (MCQs). This paper introduces…
Descriptors: Mathematics Tests, Multiple Choice Tests, Computer Assisted Testing, Problem Solving
Swidan, Osama; Cusi, Annalisa; Robutti, Ornella; Arzarello, Ferdinando – For the Learning of Mathematics, 2023
This paper introduces a model built upon the Method of Varying Inquiry, offering a didactical approach to problem posing and solving activities that stimulates inquiry-based learning in mathematics classrooms. The model combines the inquiry-based framework with the variation theory and with specific didactical and theoretical elements (the…
Descriptors: Teaching Methods, Mathematics Instruction, Inquiry, Active Learning
Alkair, Shahad; Ali, Ruba; Abouhashem, Azza; Aledamat, Rania; Bhadra, Jolly; Ahmad, Zubair; Sellami, Abdellatif; Al-Thani, Noora Jabor – Applied Environmental Education and Communication, 2023
This study exemplifies a STEM model for engaging students in environmental sustainability programs through a problem-solving approach. The study employed a mixed-method approach incorporating 346 elementary students. The research findings demonstrated a significant improvement in post-test scores, revealing augmented students' understanding of…
Descriptors: STEM Education, Models, Learner Engagement, Conservation (Environment)
Aldrin B. Boca; Rossarin Jermtaisong – Turkish Online Journal of Educational Technology - TOJET, 2023
The research entitled The Development of Learning Activity through KWDL Technique Combined with BAR Model to improve problem-solving Ability in Math for Secondary 1 (Grade 7) Students made use of a quasi-experimental design wherein the experimental group was exposed to learning activities through the KWDL technique combined with BAR model while…
Descriptors: Learning Activities, Models, Problem Solving, Secondary School Students
Aidan Fitzsimons; Eabhnat Ní Fhloinn – Irish Educational Studies, 2024
While the importance of collaborative problem-solving has been highlighted as an important skill by the OECD (Organisation for Economic Co-operation and Development), no specific model exists for mathematics facilitators to implement when engaging their students in group problem-solving. In this paper, we introduce the CoPs model for Collaborative…
Descriptors: Cooperative Learning, Problem Solving, Mathematics Skills, Mathematics Education

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