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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
Kim, Jong-Baeg; Moon, Kyoung-Suk; Park, Soowon – Asia Pacific Education Review, 2021
This study assessed the combined effects of students' achievement goal orientations (performance-approach goal and mastery-approach goal) and contextual factors (goal structures and task difficulty) on their performance. Researchers first asked 313 junior students about their achievement goal orientations and then randomly assigned them to one of…
Descriptors: College Students, Goal Orientation, Performance, Mastery Learning
Dazhen Tong; Bangjian Jin; Yang Tao; Hongmei Ren; A. Y. M. Atiquil Islam; Lei Bao – Physical Review Physics Education Research, 2025
Recent research in science education has largely focused on using ChatGPT to solve problems and evaluating its accuracy and problem-solving features. However, as artificial intelligence (AI) is becoming an important tool for human development, effective strategies for learning and education using human-AI collaboration (HAI) learning remain…
Descriptors: Artificial Intelligence, Problem Solving, Computer Software, Technology Integration
Sofia Bertolaja; Said Ettejjari; Natalie Foster – OECD Publishing, 2025
Recognising the importance of developing creativity in education, the Programme for International Student Assessment (PISA) included an assessment of creative thinking for the first time in its 2022 cycle -- with the results summarised in the PISA 2022 Results (Volume III) report. While that report focused on comparing countries' performance on…
Descriptors: Imagination, Concept Formation, Story Telling, Design
Lonneke Boels; Enrique Garcia Moreno-Esteva; Arthur Bakker; Paul Drijvers – International Journal of Artificial Intelligence in Education, 2024
As a first step toward automatic feedback based on students' strategies for solving histogram tasks we investigated how strategy recognition can be automated based on students' gazes. A previous study showed how students' task-specific strategies can be inferred from their gazes. The research question addressed in the present article is how data…
Descriptors: Eye Movements, Learning Strategies, Problem Solving, Automation
Sharmin Söderström – International Journal of Mathematical Education in Science and Technology, 2024
This study focuses on computer-based formative assessment for supporting problem solving and reasoning in mathematics. To be able to assist students who find themselves in difficulties, the software suggested descriptions - diagnoses - of the encountered difficulty the students could choose from. Thereafter, the software provided metacognitive and…
Descriptors: Computer Assisted Testing, Formative Evaluation, Mathematics Instruction, Problem Solving
Selma Boz – European Journal of Psychology and Educational Research, 2024
This study investigates school-age children's arithmetic operations performance while solving larger-size problems which produces interferences in memory. Complex problems can trigger competing responses in working memory, which are irrelevant to a task goal and increase the likelihood of interference from previously learned problems (De Visscher…
Descriptors: Problem Solving, Mathematics Instruction, Elementary School Students, Reaction Time
Kaur, Berinderjeet; Tong, Cherng Luen; Jahangeer, Mohamed Jahabar – Mathematics Education Research Group of Australasia, 2023
The primary school mathematics syllabuses in Singapore as of the year 2020 reinforces that Big ideas are central to the learning of mathematics. In support of the push to teach for big ideas, a research study is presently underway. A part of it is on the professional development (PD) of primary school mathematics teachers. As part of the PD…
Descriptors: Elementary School Teachers, Mathematics Instruction, Problem Solving, Mathematics Curriculum
Sirnoorkar, Amogh; Bergeron, Paul D. O.; Laverty, James T. – Physical Review Physics Education Research, 2023
Researchers in physics education have advocated both for including modeling in science classrooms as well as promoting student engagement with sensemaking. These two processes facilitate the generation of new knowledge by connecting to one's existing ideas. Despite being two distinct processes, modeling is often described as sensemaking of the…
Descriptors: Physics, Science Instruction, Learner Engagement, Student Attitudes
Chukhnov, Anton; Maytarattanakhon, Athit; Posov, Ilya; Pozdniakov, Sergei – Informatics in Education, 2020
The paper discusses a certain type of competitions based on distance interaction of a participant with simulation models of concepts from discrete mathematics and computer science. One of them is the "Construct, Test, Explore" (CTE) competition, developed by the authors, the other is the Olympiad in Discrete Mathematics and Theoretical…
Descriptors: Graphs, Computer Simulation, Mathematics, Computer Science
Subanji; Nusantara, Toto; Rahmatina, Desi; Purnomo, Heri – International Journal of Instruction, 2021
This research aimed to construct a statistical creative model in solving the problem of descriptive statistics. This type of research is a mixed methods research with a sequential mixed methods model using Exploratory sequential design. A descriptive qualitative method is used to build statistical creative models. Meanwhile, a quantitative method…
Descriptors: High School Students, Statistics Education, Gender Differences, Problem Solving
Marulis, Loren M.; Nelson, Lindsey J. – Metacognition and Learning, 2021
Metacognition--knowledge, monitoring, and regulation of cognition--is key to learning and academic achievement. This is robustly supported for K-12 and higher education learners while empirical evidence in early childhood is encouraging but limited. To address these gaps in the literature, our first goal was to investigate early metacognition…
Descriptors: Metacognition, Executive Function, Learning Motivation, Problem Solving
Kristin Zorn; Kym Fry; Kevin Larkin; Peter Grootenboer – Mathematics Education Research Group of Australasia, 2024
Problems presented in mathematics classrooms often focus on routine tasks with students practicing mathematical techniques demonstrated by the teacher. However, this does not reflect the problem-solving process in the real world, and students often find it difficult to connect school mathematics with authentic contexts. This paper discusses…
Descriptors: Problem Solving, Mathematics Instruction, Video Technology, Teaching Methods
Simone Jablonski – International Electronic Journal of Mathematics Education, 2023
In this article, the goal is to describe students' mathematical reasoning in the context of different settings of problem-solving tasks. The core of the tasks are real objects, which are presented to the students with the help of photos, a 3D model or in the environment itself. With reference to the experiential learning theory and relations to…
Descriptors: Problem Solving, Mathematics Education, Speech Acts, Secondary School Students
Harsel, Milou; Hoogerheide, Vincent; Verkoeijen, Peter; Gog, Tamara – Applied Cognitive Psychology, 2020
Research suggests some sequences of examples and problems (i.e., EE, EP) are more effective (higher test performance) and efficient (attained with equal/less mental effort) than others (PP, sometimes also PE). Recent findings suggest this is due to motivational variables (i.e., self-efficacy), but did not test this during the training phase.…
Descriptors: Problem Solving, Sequential Learning, Task Analysis, Time Factors (Learning)

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