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Susan C. Mirabal; Darcy A. Reed; Yvonne Steinert; Cynthia R. Whitehead; Scott M. Wright; Sean Tackett – Advances in Health Sciences Education, 2024
While explicit conceptual models help to inform research, they are left out of much of the health professions education (HPE) literature. One reason may be the limited understanding about how to develop conceptual models with intention and rigor. Group concept mapping (GCM) is a mixed methods conceptualization approach that has been used to…
Descriptors: Allied Health Occupations Education, Medical Education, Concept Mapping, Learning Strategies
Bin Meng; Fan Yang – International Journal of Web-Based Learning and Teaching Technologies, 2025
This paper proposes a computer-aided teaching model using knowledge graph construction and learning path recommendation. It first creates a multimodal knowledge graph to illustrate complex relationships among knowledge. Learning elements and sequences are then used to form time sequences stored as directed graphs, supporting flexible path…
Descriptors: Students, Teachers, Computer Assisted Instruction, Knowledge Representation
Kozarova, Nina; Duchovicova, Jana – European Journal of Contemporary Education, 2020
Thinking is the essence of human existence, unquestionably the highest product of human evolution. Yet it is not possible to convey coherently to students the sum and attainment of all humanity's knowledge. Students would be incapable of absorbing such an enormous quantity of knowledge (corresponding to current developments in individual academic…
Descriptors: Instructional Materials, Knowledge Representation, Concept Mapping, Constructivism (Learning)
Aryadoust, Vahid – International Journal of Listening, 2019
This article proposes an integrated cognitive theory of reading and listening that draws on a maximalist account of comprehension and emphasizes the role of bottom-up and top-down processing. The theoretical framework draws on the findings of previous research and integrates them into a coherent and plausible narrative to explain and predict the…
Descriptors: Learning Theories, Cognitive Processes, Reading Comprehension, Listening Comprehension
Eriksson, Urban – Physical Review Physics Education Research, 2019
This theoretical paper introduces a new way to view and characterize learning astronomy. It describes a framework, based on results from empirical data, analyzed through standard qualitative research methodology, in which a theoretical model for a vital competency of learning astronomy is proposed: "reading the sky," a broad description…
Descriptors: Astronomy, Intellectual Disciplines, Competency Based Education, Learning Strategies
Rau, Martina A. – Journal of Learning Analytics, 2017
STEM instruction often uses visual representations. To benefit from these, students need to understand how representations show domain-relevant concepts. Yet, this is difficult for students. Prior research shows that physical representations (objects that students manipulate by hand) and virtual representations (objects on a computer screen that…
Descriptors: High School Students, Charter Schools, STEM Education, Knowledge Representation
Twissell, Adrian – Educational Technology & Society, 2018
Abstract electronics concepts are difficult to develop because the phenomena of interest cannot be readily observed. Visualisation skills support learning about electronics and can be applied at different levels of representation and understanding (observable, symbolic and abstract). Providing learners with opportunities to make transitions…
Descriptors: Electronics, Case Studies, Concept Formation, Scientific Concepts
Bollen, Laurens; van Kampen, Paul; Baily, Charles; Kelly, Mossy; De Cock, Mieke – Physical Review Physics Education Research, 2017
The ability to switch between various representations is an invaluable problem-solving skill in physics. In addition, research has shown that using multiple representations can greatly enhance a person's understanding of mathematical and physical concepts. This paper describes a study of student difficulties regarding interpreting, constructing,…
Descriptors: Symbols (Mathematics), Computer Graphics, Knowledge Representation, Problem Solving