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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
Culver, K. C.; Harper, Jordan; Kezar, Adrianna – Pullias Center for Higher Education, 2021
This toolkit helps design teams engage in this process of implementing the "Design for Equity in Higher Education" model. For each phase of the model, this toolkit provides a short description and offers some questions and suggestions to guide practice. [For the companion report, "Design for Equity in Higher Education," see…
Descriptors: Design, Program Implementation, Equal Education, Higher Education
Awang Najib Awang Mohamad; Zaimuariffudin Nordin; Mohd Hafizan Hashim – Journal of Research Initiatives, 2025
Design-based research (DBR) has proven to be a robust methodology for transforming educational practice through a systematic cycle of analysis, design, development, and real-world implementation. Its distinctive strength lies in fostering close collaboration between researchers and educators within authentic learning contexts, producing design…
Descriptors: Educational Innovation, Educational Research, Design, Research Methodology
Bima Sapkota; Liza Bondurant – International Journal of Technology in Education, 2024
In November 2022, ChatGPT, an Artificial Intelligence (AI) large language model (LLM) capable of generating human-like responses, was launched. ChatGPT has a variety of promising applications in education, such as using it as thought-partner in generating curricular resources. However, scholars also recognize that the use of ChatGPT raises…
Descriptors: Cognitive Processes, Difficulty Level, Artificial Intelligence, Natural Language Processing
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
Latifi, Saeed; Noroozi, Omid; Talaee, Ebrahim – Interactive Learning Environments, 2023
This study compared the effects of worked example and scripting on students' argumentative peer feedback, essay and learning qualities. Participants were 80 BSc students who were randomly divided over 40 dyads and assigned to two experimental conditions (worked example and scripting). An online peer feedback environment named EduTech was designed…
Descriptors: Persuasive Discourse, Writing (Composition), Essays, Writing Evaluation
Milner, Marleen; Wolfer, Terry A. – Journal of Social Work Education, 2023
Research suggests that most college and beginning graduate students lack the cognitive complexity required to engage in effective practical and ethical reasoning. Studies on cognitive development support the view that how people approach complex problems varies significantly depending on the underlying epistemic assumptions they use to guide their…
Descriptors: Decision Making, Social Work, Counselor Training, Ethics
Tang, Chaoying; Li, Qin; Kaufman, James C. – Journal of Creative Behavior, 2018
Empirical studies on the relationship between affect and creativity often produce conflicting results. This inconsistency has led us to believe that the relationship between affect and creativity may be better understood by looking at potential moderators. Our study looked specifically at trait affect and self-perceived creativity. Using the…
Descriptors: Creativity, Correlation, Problem Solving, Models
Wahyudi, Wahyudi; Waluya, Stevanus Budi; Suyitno, Hardi; Isnarto, Isnarto – International Journal of Sustainability in Higher Education, 2021
Purpose: This study aims to describe how creative thinking ability could be improved through correcting the thinking schemata using cool-critical-creative-meaningful (3CM) learning model. Design/methodology/approach: This study implemented mixed methods with explanatory sequential, which means a study that was conducted by collecting quantitative…
Descriptors: Schemata (Cognition), Creative Thinking, Critical Thinking, Thinking Skills
Zhihan Lv Ed. – IGI Global, 2024
The rapid adoption of deep learning models has resulted in many business services becoming model services, yet most AI systems lack the necessary automation and industrialization capabilities. This leads to heavy reliance on manual operation and maintenance, which not only consumes power but also causes resource wastage and stability issues during…
Descriptors: Artificial Intelligence, Robotics, Computer Software, Problem Solving
Warachit Promket – International Education Studies, 2024
The Development Instructional Model Based on Steam Education by TP-SMART MODEL To Enhance Technological Innovation and Creativity Skills of Secondary student Mathayom 6, divided into 4 steps. Step 1: Study the current and expected conditions of student learning and innovation skills development. 2) Develop the model 3) Study the results of use 4)…
Descriptors: STEM Education, Art Education, Creativity, Secondary School Students

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