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Candace Walkington; Julianna Washington; Jonathan Hunnicutt; Mitchell J. Nathan – Grantee Submission, 2025
Augmented reality (AR), where digital holograms are layered over the real world, is rapidly being applied to different educational domains, including mathematics education. However, little is known about how AR can be effectively designed for collaborative use. There are both practical and theory-based reasons to set up collaboration in AR in…
Descriptors: Mathematics Instruction, Problem Solving, Computer Simulation, Technology Uses in Education
Wen Huang; Candace Walkington; Mitchell J. Nathan – Grantee Submission, 2023
This study investigates how learners collaboratively construct embodied geometry knowledge in shared VR environments. Three groups of in-service teachers collaboratively explored six geometric conjectures with various virtual objects (geometric shapes) under the guidance of a facilitator. Although all the teachers were in different physical…
Descriptors: Cooperative Learning, Geometry, Mathematics Education, Computer Simulation
Susu Zhang; Xueying Tang; Qiwei He; Jingchen Liu; Zhiliang Ying – Grantee Submission, 2024
Computerized assessments and interactive simulation tasks are increasingly popular and afford the collection of process data, i.e., an examinee's sequence of actions (e.g., clickstreams, keystrokes) that arises from interactions with each task. Action sequence data contain rich information on the problem-solving process but are in a nonstandard,…
Descriptors: Correlation, Problem Solving, Computer Assisted Testing, Prediction
McCormick, Sierra; Powers, Jacklyn; Davenport, Jodi; Yaron, David – Grantee Submission, 2021
In today's science classrooms, with the integration of the Next Generation Science Standards (NGSS), teachers are encouraged to guide instruction through real-world phenomena and promote critical thinking through inquiry-based learning that helps students learn the reasoning and practical skills of scientists, rather than just rote memorization of…
Descriptors: Science Instruction, Chemistry, Inquiry, Thinking Skills
Doumas, Leonidas A. A.; Morrison, Robert G.; Richland, Lindsey E. – Grantee Submission, 2018
Children's cognitive control and knowledge at school entry predict growth rates in analogical reasoning skill over time; however, the mechanisms by which these factors interact and impact learning are unclear. We propose that inhibitory control is critical for developing both the relational representations necessary to reason and the ability to…
Descriptors: Logical Thinking, Thinking Skills, Inhibition, Problem Solving

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