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Jill Cheeseman; Ann Downton; Kerryn Driscoll – Mathematics Education Research Group of Australasia, 2025
This paper contains an analysis of some early thinking of 94 young children aged 5 years 7 months to 6 years 5 months. These children were interviewed as part of a larger study of the multiplicative thinking of children who were midway through their first year of school in Australia. They had not been formally taught multiplication or division at…
Descriptors: Division, Numbers, Young Children, Problem Solving
Kamirsyah Wahyu – Mathematics Education Research Group of Australasia, 2025
This paper aims to understand how primary students use gestures to solve partition tasks and to what extent these gestures may promote fraction understanding. Analysis of six selected students' answers to partitioning tasks, classroom observation, and post-lesson interviews indicates that co-thought representational gestures play a critical role.…
Descriptors: Elementary School Students, Nonverbal Communication, Fractions, Problem Solving
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Juan D. Pinto; Luc Paquette – International Educational Data Mining Society, 2025
The increasing use of complex machine learning models in education has led to concerns about their interpretability, which in turn has spurred interest in developing explainability techniques that are both faithful to the model's inner workings and intelligible to human end-users. In this paper, we describe a novel approach to creating a…
Descriptors: Artificial Intelligence, Technology Uses in Education, Student Behavior, Models
Babawande Emmanuel Olawale; Saidat Adeniji; Zizipho Mabhoza – Mathematics Education Research Group of Australasia, 2025
This paper analyses learners' common errors in simplifying algebraic problems. 102 Grade 10 learners from three rural schools in South Africa participated in the study. Following a quantitative approach, content analysis of learners' responses to algebraic tests revealed that while learners commit several errors in algebraic problems, encoding and…
Descriptors: Algebra, Grade 10, High School Students, Secondary School Mathematics
Sarah Podwinski; Iroise Dumontheil – Mathematics Education Research Group of Australasia, 2025
Mathematical problem-solving places heavy demands on children's developing working memory capacity. This review examines how offloading numerical information using embodied (e.g. finger counting) or external tools (e.g. manipulatives) can reduce cognitive load and improve mathematical task performance. Strategic offloading emerges in childhood;…
Descriptors: Problem Solving, Short Term Memory, Numbers, Cognitive Processes
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Li Chen; Gen Li; Boxuan Ma; Cheng Tang; Masanori Yamada – International Association for Development of the Information Society, 2024
This paper proposes a three-step approach to develop knowledge graphs that integrate textbook-based target knowledge graph with student dialogue-based knowledge graphs. The study was conducted in seventh-grade STEM classes, following a collaborative problem solving process. First, the proposed approach generates a comprehensive target knowledge…
Descriptors: Concept Mapping, Graphs, Cooperative Learning, Problem Solving
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Sunil Dehipawala; Tak Cheung – International Society for Technology, Education, and Science, 2024
The Physics One Mechanics in a community college syllabus usually allocates more time to cover the topics in kinematics, dynamics, energy, momentum, and rotation; with relatively less time for the topics of fluid mechanics and heat diffusion in the creation of a knowledge gap for those students deciding on mechanical and chemical engineering…
Descriptors: Community College Students, Student Projects, Physics, College Science
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Seehee Park; Danielle Shariff; Mohammad Amin Samadi; Nia Nixon; Sidney D’Mello – International Educational Data Mining Society, 2025
Collaborative Problem Solving (CPS) is a vital 21st-century skill that integrates social and cognitive processes to achieve shared goals. Despite its importance, understanding how communication dynamics shape individual learning outcomes in CPS tasks remains a challenge, particularly in virtual settings. To address this gap, this study analyzes…
Descriptors: Group Dynamics, Problem Solving, Teamwork, Undergraduate Students
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Gyuhun Jung; Markel Sanz Ausin; Tiffany Barnes; Min Chi – International Educational Data Mining Society, 2024
We presented two empirical studies to assess the efficacy of two Deep Reinforcement Learning (DRL) frameworks on two distinct Intelligent Tutoring Systems (ITSs) to exploring the impact of Worked Example (WE) and Problem Solving (PS) on student learning. The first study was conducted on a probability tutor where we applied a classic DRL to induce…
Descriptors: Intelligent Tutoring Systems, Problem Solving, Artificial Intelligence, Teaching Methods
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Arthur David Snider – International Society for Technology, Education, and Science, 2023
Tychonov's 1935 solution of the heat equation, exhibiting nontrivial heat fluxes spontaneously appearing along an isolated conducting rod initially held at zero degrees, has intrigued some specialists for almost a century. No doubt those practicing heat engineers who took mathematics seriously were initially relieved to learn that the construction…
Descriptors: Engineering Education, Heat, Mathematics Education, Computer Simulation
Ciara Loughland – Mathematics Education Research Group of Australasia, 2025
Research suggests that collaborative learning may enhance the benefits to learners when solving cognitively demanding tasks. However, there are concerns about how students with different achievement and engagement levels perceive these benefits. This study examines how students with varying achievement and engagement levels respond to…
Descriptors: Cooperative Learning, Problem Solving, Difficulty Level, Peer Teaching
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Hansen, Nils Kristian; Hadjerrouit, Said – International Association for Development of the Information Society, 2023
This paper aims at using a Use-Modify-Create approach to explore students' mathematical problem solving by means of computational thinking (CT) and programming activities. The data collection method is participant observation, in which the researcher also has the role as teacher, guiding the group activities. In our study, two groups of students…
Descriptors: Problem Solving, Computation, Thinking Skills, Programming
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Dae S. Hong – North American Chapter of the International Group for the Psychology of Mathematics Education, 2023
This study explores opportunities to learn definite integrals in three widely used textbooks in the U.S. Definitions, worked examples, and exercise problems were coded using research-based cognitive resources in definite integrals. The results show that limited opportunities for students to explore multiplicative relationship between two…
Descriptors: Mathematics Instruction, Teaching Methods, Calculus, Mathematical Concepts
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Jyoti Shaha; Vishwas Badhe; Ramkumar Rajendran – International Association for Development of the Information Society, 2024
Metacognitive strategies play a crucial role in Computer-Based Learning Environments (CBLEs). However, students often struggle to apply these strategies spontaneously during learning. Research demonstrates that metacognitive prompts can effectively guide students' awareness and help them monitor their learning progress, leading to improved…
Descriptors: Metacognition, Electronic Equipment, Problem Solving, Computer Uses in Education
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Celestine E. Akpanoko; Ashwin T. S.; Grayson Cordell; Gautam Biswas – International Educational Data Mining Society, 2024
Open-ended learning environments (OELEs) support constructivist approaches to STEM learning. This promotes student engagement and facilitates a deeper understanding of STEM topics. Despite their benefits, OELEs can present significant challenges for novice learners. Recent studies have revealed the complex relationship between students' affective…
Descriptors: Middle School Students, Emotional Response, Affective Behavior, Educational Environment
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