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Jinfa Cai; Benjamin Rott – ZDM: Mathematics Education, 2024
Problem posing engages students in generating new problems based on given situations (including mathematical expressions or diagrams) or changing (i.e., reformulating) existing problems. Problem posing has been at the forefront of discussion over the past few decades. One of the important topics studied is the process of problem posing as…
Descriptors: Mathematics Instruction, Teaching Methods, Problem Solving, Models
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Sevinc, Serife – Educational Studies in Mathematics, 2022
Models-and-modeling perspective (MMP) is a problem-solving and learning perspective in mathematics education. Although modeling processes have been addressed widely in the international discussion on mathematical modeling, a homogeneous understanding has not been established yet. Hence, the field needs studies addressing the epistemological…
Descriptors: Mathematical Models, Problem Solving, Mathematics Education, Epistemology
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Kahn, Joshua D.; Bullis, Michael D. – Leadership and Policy in Schools, 2023
In this integrative literature review, we synthesize the scant literature from the last 40 years of educational research on how school principals make difficult decisions. Reviewing 15 peer-reviewed articles, articles were coded for the methods used and their substantive findings. We review sampling techniques, the types of problems and methods…
Descriptors: Cognitive Processes, Decision Making, Principals, Models
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Schulz, Sandra; McLaren, Bruce M.; Pinkwart, Niels – International Journal of Artificial Intelligence in Education, 2023
This paper develops a method for the construction and evaluation of cognitive models to support students in their problem-solving skills during robotics in school, aiming to build a basis for an implementation of a tutoring system in the future. Two Wizard-of-Oz studies were conducted, one in the classroom and one in the lab. Based on the…
Descriptors: Cognitive Processes, Models, Intelligent Tutoring Systems, Robotics
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Shin, Namsoo; Bowers, Jonathan; Roderick, Steve; McIntyre, Cynthia; Stephens, A. Lynn; Eidin, Emil; Krajcik, Joseph; Damelin, Daniel – Instructional Science: An International Journal of the Learning Sciences, 2022
We face complex global issues such as climate change that challenge our ability as humans to manage them. Models have been used as a pivotal science and engineering tool to investigate, represent, explain, and predict phenomena or solve problems that involve multi-faceted systems across many fields. To fully explain complex phenomena or solve…
Descriptors: Systems Approach, Thinking Skills, Computation, Models
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Ng, Andrea; Kewalramani, Sarika; Kidman, Gillian – EURASIA Journal of Mathematics, Science and Technology Education, 2022
In early childhood education, the integration of science, technology, engineering, arts, and mathematics (STEAM) are advocated as contemporary educational goals. However, integration of STEAM is not defined in the early childhood context. We claim to 'integrate' and 'devise integration pedagogies', but there is still no clear-cut message on what…
Descriptors: STEM Education, Art Education, Early Childhood Education, Integrated Curriculum
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Aslina Saad; Suhaila Zainudin – Interactive Learning Environments, 2024
This study delves into the integration of Project-Based Learning (PBL) and Computational Thinking (CT) to enhance 21st century learning. Through a Narrative Literature Review (NLR), pivotal strategies for effective implementation are identified. These include fostering collaborative pedagogy, employing visualization tools, embracing diverse…
Descriptors: Active Learning, Student Projects, Teaching Methods, Computation
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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
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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
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Chamberlin, Scott; Payne, Anna M.; Kettler, Todd – International Journal of Mathematical Education in Science and Technology, 2022
The purpose of this literature review is to explicate the facets of mathematical problem solving taxonomies in relation to mathematical modeling. Subsequently, components and learning benefits of mathematical modeling are discussed. Examples of mathematical problems are embedded in the discussion and pragmatic applications to mathematical…
Descriptors: Mathematics Instruction, Mathematical Models, Problem Solving, Taxonomy
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Otten, Mara; Van den Heuvel-Panhuizen, Marja; Veldhuis, Michiel – International Journal of STEM Education, 2019
This paper reports a systematic literature review of the balance model, an often-used aid to teach linear equations. The purpose of the review was to report "why" such a model is used, "what" types of models are used, and "when" they are used. In total, 34 peer-reviewed journal articles were analyzed, resulting in a…
Descriptors: Mathematics Instruction, Algebra, Mathematical Concepts, Equations (Mathematics)
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Reiter-Palmon, Roni – Journal of Creative Behavior, 2017
This paper provides an overview of theory and research regarding problem construction and identification. Specifically, the paper reviews a theoretical model of processes associated with problem construction and empirical evidence in relation to the model. Finally, the paper reviews the literature on team problem construction.
Descriptors: Problem Solving, Identification, Models, Evidence
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McLaughlin, Jessica A.; Bailey, Janelle M. – Studies in Science Education, 2023
Myriad research in a variety of contexts shows spatial skills benefit students; however, they are not given enough attention in classroom instruction. In this review we systematically explore geoscience education literature focusing on spatial interventions to answer research questions on trends in spatial skills and other characteristics. We…
Descriptors: Spatial Ability, Earth Science, STEM Education, Research Reports
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Araz Zirar – Review of Education, 2023
Recent developments in language models, such as ChatGPT, have sparked debate. These tools can help, for example, dyslexic people, to write formal emails from a prompt and can be used by students to generate assessed work. Proponents argue that language models enhance the student experience and academic achievement. Those concerned argue that…
Descriptors: Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Models
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Abassian, Aline; Safi, Farshid; Bush, Sarah; Bostic, Jonathan – Investigations in Mathematics Learning, 2020
This article presents a review of literature exploring five different perspectives on mathematical modeling in mathematics education. Because there is not a single agreed-on definition of what mathematical modeling is or how it should be done, a focused and extensive review of mathematical modeling is essential. The five broad classifications…
Descriptors: Mathematics Instruction, Mathematical Models, Teaching Methods, Social Influences
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