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Oremland, Lucy S.; Szabo, Csilla – PRIMUS, 2022
In this paper, we present an overview of a series of 1-credit applied problem solving courses. The goal of these courses was to help students develop their oral and written communication skills, ability to work as a team, and general problem solving skills through preparation and participation in the Mathematical Contest in Modeling (MCM) and…
Descriptors: Interdisciplinary Approach, Problem Solving, Active Learning, Student Projects
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
Abolfazl Rafiepour – International Society for Technology, Education, and Science, 2023
In this paper duality between real world phenomenon and mathematics will be discussed. This duality exists for many years which considerably remarked in the history of mathematics curriculum. One of the good potential for filling the gap between real world phenomenon and mathematical ideas would be modelling tasks which require performing the…
Descriptors: Teaching Methods, Mathematics Instruction, Barriers, Task Analysis
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
Peter Curtis; Brett Moffett; David A. Martin – Australian Primary Mathematics Classroom, 2024
In this article, the authors explore how the 3C Model can be used to integrate other curriculum areas with mathematics, namely digital technologies. To illustrate the model, they provide a practical example of a teaching sequence. T he 3C Model is designed to create opportunities for applying reasoning and problem-solving skills and learning…
Descriptors: Models, Computer Software, Problem Solving, Mathematics Instruction
Joanne Mulligan; Russell Tytler; Vaughan Prain; Melinda Kirk – Mathematics Education Research Journal, 2024
This paper illustrates how years 1 and 2 students were guided to engage in data modelling and statistical reasoning through interdisciplinary mathematics and science investigations drawn from an Australian 3-year longitudinal study: "Interdisciplinary Mathematics and Science Learning" (https://imslearning.org/). The project developed…
Descriptors: Statistics Education, Longitudinal Studies, Interdisciplinary Approach, Inquiry
Hoogerheide, Vincent; Roelle, Julian – Applied Cognitive Psychology, 2020
Decades of research has shown that example-based learning is an effective instructional strategy for learning new skills. The field of learning from examples is seeing a shift in focus towards more innovative and use-inspired research, in part because the use of examples for informal and formal learning purposes has mushroomed. This special issue…
Descriptors: Observational Learning, Problem Solving, Cognitive Processes, Difficulty Level
González, Antonio; Gallego-Sánchez, Inés; Gavilán-Izquierdo, José María; Puertas, María Luz – EURASIA Journal of Mathematics, Science and Technology Education, 2021
This work provides a characterization of the learning of graph theory through the lens of the van Hiele model. For this purpose, we perform a theoretical analysis structured through the processes of reasoning that students activate when solving graph theory problems: recognition, use and formulation of definitions, classification, and proof. We…
Descriptors: Graphs, Logical Thinking, Problem Solving, Cognitive Structures
Xie, Heping; Zhao, Tingting; Deng, Sue; Peng, Ji; Wang, Fuxing; Zhou, Zongkui – Journal of Computer Assisted Learning, 2021
Eye movement modelling examples (EMME) are computer-based videos displaying the visualized eye gaze behaviour of a domain expert person (model) while carefully executing the learning or problem-solving task. The role of EMME in promoting cognitive performance (i.e., final scores of learning outcome or problem solving) has been questioned due to…
Descriptors: Eye Movements, Attention, Cognitive Ability, Learning Processes
Zulkarnain; Zulnaidi, Hutkemri; Heleni, Susda; Syafri, Muhammad – International Journal of Instruction, 2021
The common problems faced by most students in learning mathematics include their inability to answer problem-solving questions and low mathematical self-efficacy. Search, Solve, Create and Share (SSCS) is a teaching model that provides opportunities for students to enhance their problem-solving skills and self-efficacy. This quasi-experimental…
Descriptors: Teaching Models, Mathematics Skills, Problem Solving, Self Efficacy

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