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David Menendez; Karl S. Rosengren; Martha W. Alibali – Grantee Submission, 2022
Visualizations are commonly used in educational materials, however not all visualizations are equally effective at promoting learning. Prior research has supported the idea that both perceptually rich and bland visualizations are beneficial for learning and generalization. We investigated whether the perceptual richness of a life cycle diagram…
Descriptors: Elementary School Students, Visualization, Visual Aids, Scientific Concepts
Tiffany Herder; Martina A. Rau – Grantee Submission, 2022
Educational video games can engage students in authentic STEM practices, which often involve visual representations. Specifically, because most interactions within video games are mediated through visual representations, video games provide opportunities for students to experience disciplinary practices with visuals. However, prior research has…
Descriptors: Educational Games, Video Games, STEM Education, Visual Stimuli
Cromley, J. G.; Ma, S.; Van Boekel, M.; Dane, N. – Grantee Submission, 2020
When reading scientific text, readers must draw inferences when the author does not make relations explicit; readers also need to pick up on causal relations that the author "does" make explicit. We collected think-aloud protocols from 86 undergraduate biology students reading 7 brief, illustrated passages about the immune system. After…
Descriptors: Inferences, Protocol Analysis, Undergraduate Students, Attribution Theory
Steven Moore; Huy Anh Nguyen; John Stamper – Grantee Submission, 2021
While generating multiple-choice questions has been shown to promote deep learning, students often fail to realize this benefit and do not willingly participate in this activity. Additionally, the quality of the student-generated questions may be influenced by both their level of engagement and familiarity with the learning materials. Towards…
Descriptors: Multiple Choice Tests, Learning Processes, Learner Engagement, Familiarity
Gary Weiser; Alison K. Billman; Christopher J. Harris; Lauren M. Brodsky; Damelin Daniel – Grantee Submission, 2022
The "Framework" and NGSS bring to the forefront the role of language in doing science and in learning from doing science. Yet, most existing science assessments for elementary learners do not integrate or attend to aspects of scientific language and literacy that are essential components of science proficiency. Accordingly, there is a…
Descriptors: Standards, Language Role, Science Instruction, Science Tests
Hansen, Janice; Richland, Lindsey – Grantee Submission, 2020
Reasoning about visual representations in science requires the ability to control one's attention, inhibit attention to irrelevant or incorrect information, and hold information in mind while manipulating it actively--all aspects of the limited capacity cognitive system described as humans' Executive Functions (EFs) (see Diamond, 2002). This…
Descriptors: Teaching Methods, Science Instruction, Attention Control, Executive Function
Martina A. Rau; Sally P. W. Wu – Grantee Submission, 2018
Connection-making among multiple representations is a crucial but difficult competence in STEM learning. Prior research has focused on one type of learning process involved in connection-making: sense-making processes leading to conceptual understanding of connections. Yet, other research suggests that a second type of learning process is…
Descriptors: STEM Education, Teaching Methods, Visual Perception, Control Groups
Herrmann-Abell, Cari F.; DeBoer, George E. – Grantee Submission, 2018
This study tests a hypothesized learning progression for the concept of energy. It looks at 14 specific ideas under the categories of (i) Energy Forms and Transformations; (ii) Energy Transfer; (iii) Energy Dissipation and Degradation; and (iv) Energy Conservation. It then examines students' growth of understanding within each of these ideas at…
Descriptors: Energy, Science Instruction, Concept Formation, Energy Conservation
Sao Pedro, Michael; Jiang, Yang; Paquette, Luc; Baker, Ryan S.; Gobert, Janice – Grantee Submission, 2014
Students conducted inquiry using simulations within a rich learning environment for 4 science topics. By applying educational data mining to students' log data, assessment metrics were generated for two key inquiry skills, testing stated hypotheses and designing controlled experiments. Three models were then developed to analyze the transfer of…
Descriptors: Simulation, Transfer of Training, Bayesian Statistics, Inquiry
Hershkovitz, Arnon; Baker, Ryan S. J. d.; Gobert, Janice; Wixon, Michael; Sao Pedro, Michael – Grantee Submission, 2013
In recent years, an increasing number of analyses in Learning Analytics and Educational Data Mining (EDM) have adopted a "Discovery with Models" approach, where an existing model is used as a key component in a new EDM/analytics analysis. This article presents a theoretical discussion on the emergence of discovery with models, its…
Descriptors: Learning Analytics, Models, Learning Processes, Case Studies