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Elina Palmgren; Tapio Rasa – Science & Education, 2024
Modelling roles of mathematics in physics has proved to be a difficult task, with previous models of the interplay between the two disciplines mainly focusing on mathematical modelling and problem solving. However, to convey a realistic view of physics as a field of science to our students, we need to do more than train them to become fluent in…
Descriptors: Physics, Mathematical Models, Science Instruction, Problem Solving
Xiaodong Wei; Lei Wang; Lap-Kei Lee; Ruixue Liu – Journal of Educational Computing Research, 2025
Notwithstanding the growing advantages of incorporating Augmented Reality (AR) in science education, the pedagogical use of AR combined with Pedagogical Agents (PAs) remains underexplored. Additionally, few studies have examined the integration of Generative Artificial Intelligence (GAI) into science education to create GAI-enhanced PAs (GPAs)…
Descriptors: Artificial Intelligence, Technology Uses in Education, Models, Science Education
Kimberly S. DeGlopper; Ryan L. Stowe – Chemistry Education Research and Practice, 2024
Thinking about knowledge and knowing ("i.e.", epistemic cognition) is an important part of student learning and has implications for how they apply their knowledge in future courses, careers, and other aspects of their lives. Three classes of models have emerged from research on epistemic cognition: developmental models, dimensional…
Descriptors: Undergraduate Students, Chemistry, Epistemology, Cognitive Processes
Shi, Guanxue; Lu, Shanshan; Bi, Hualin – Journal of Baltic Science Education, 2023
Explaining natural phenomena by determining causal relationships is conducive to understanding scientific concepts. In science education, numerous studies examine students' causal reasoning. Given the importance of core ideas for students' understanding of how and why a phenomenon occurs, the study focused on the relationship between students'…
Descriptors: Secondary School Students, Thinking Skills, Cognitive Processes, Concept Formation
Tom Reshef-Israeli; Shulamit Kapon – Online Submission, 2024
As problems become increasingly complex, science educators need to better understand how new knowledge is constructed and applied in heterogeneous team collaborations, and how to teach students to productively engage in these processes. We discuss the emergence of insights in collaborative sensemaking and suggest a model that articulates the…
Descriptors: Comprehension, Constructivism (Learning), Teaching Methods, Learner Engagement
Weinberg, Paul J.; Sorensen-Weinberg, Erika K. – Science Education, 2022
Embodied cognition has been a useful means to support learning in science education. In this article, we describe a model of embodied cognition through analogical mapping that is supported through the participatory simulation and mathematical description of a link and pivot system. We look at the propensity for this model of embodied cognition to…
Descriptors: Human Body, Cognitive Processes, Science Education, Models
Pham, Lam; Tytler, Russell – Research in Science Education, 2022
Many researchers have reported that bridging analogies can productively support students' scientific meaning-making. How this can be understood semiotically is, however, not well understood. This research followed an ethnographic case study approach to investigate Year 11 students meaning-making through a process of transduction (Kress, 2000;…
Descriptors: Semiotics, Chemistry, Science Process Skills, Ethnography
Alecia M. Redway – ProQuest LLC, 2023
Extant literature lacks an explanation of the thought processes used by secondary school science teachers to interpret students' scientific models that are comprised of drawing activities. In this exploratory study, a constructivist grounded theory (CGT) was developed to generate an interpretive understanding. The CGT was generated from…
Descriptors: Science Teachers, Freehand Drawing, Models, Constructivism (Learning)
Viirman, Olov; Nardi, Elena – Educational Studies in Mathematics, 2019
Non-mathematics specialists' competence and confidence in mathematics in their disciplines have been highlighted as in need of improvement. We report from a collaborative, developmental research project which explores the conjecture that greater integration of mathematics and biology in biology study programs, for example through engaging students…
Descriptors: College Students, Interdisciplinary Approach, Mathematics Education, Science Education
Elizabeth Hannah Huvard – ProQuest LLC, 2021
Student success is often treated as an observed variable, or something that you can measure directly with a single instrument. Single course outcomes such as final course grade or learning gain on an assessment have become synonymous with success in undergraduate science education research. Continually relying on these narrow course outcomes to…
Descriptors: Introductory Courses, Biology, Science Education, College Science
Kokkonen, Tommi – Science & Education, 2017
Model-based learning (MBL) has an established position within science education. It has been found to enhance conceptual understanding and provide a way for engaging students in authentic scientific activity. Despite ample research, few studies have examined the cognitive processes regarding learning scientific concepts within MBL. On the other…
Descriptors: Models, Science Education, Scientific Concepts, Cognitive Processes
Zeyer, Albert – Journal of Research in Science Teaching, 2018
The present study is based on a large cross-cultural study, which showed that a systemizing cognition type has a high impact on motivation to learn science, while the impact of gender is only indirect thorough systemizing. The present study uses the same structural equation model as in the cross-cultural study and separately tests it for physics,…
Descriptors: Learning Motivation, Gender Differences, Difficulty Level, Physics
Pande, Prajakt; Chandrasekharan, Sanjay – Studies in Science Education, 2017
Multiple external representations (MERs) are central to the practice and learning of science, mathematics and engineering, as the phenomena and entities investigated and controlled in these domains are often not available for perception and action. MERs therefore play a twofold constitutive role in reasoning in these domains. Firstly, MERs stand…
Descriptors: STEM Education, Visualization, Imagination, Cognitive Processes
Lamb, Richard; Akmal, Tariq; Petrie, Kaylan – Journal of Research in Science Teaching, 2015
Successful STEM learning depends on the interaction of affect, cognition, and application of ideas. Simply put students who are unwilling to persist in STEM based endeavors do not suddenly develop into scientists, mathematicians, engineers or computer scientists, nor do they seek out STEM related courses or STEM based careers. The purpose of this…
Descriptors: STEM Education, Educational Trends, Schemata (Cognition), Psychometrics
Lamb, Richard L.; Firestone, Jonah B. – International Journal of Science and Mathematics Education, 2017
Conflicting explanations and unrelated information in science classrooms increase cognitive load and decrease efficiency in learning. This reduced efficiency ultimately limits one's ability to solve reasoning problems in the science. In reasoning, it is the ability of students to sift through and identify critical pieces of information that is of…
Descriptors: Cognitive Processes, Difficulty Level, Science Process Skills, Computation