Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 3 |
Since 2016 (last 10 years) | 7 |
Since 2006 (last 20 years) | 7 |
Descriptor
Problem Solving | 7 |
Computer Simulation | 4 |
Simulation | 3 |
Cooperative Learning | 2 |
Geometry | 2 |
Mathematical Concepts | 2 |
Thinking Skills | 2 |
Adults | 1 |
Age Differences | 1 |
Arithmetic | 1 |
Artificial Intelligence | 1 |
More ▼ |
Source
Grantee Submission | 7 |
Author
Publication Type
Reports - Research | 6 |
Journal Articles | 3 |
Reports - Descriptive | 1 |
Speeches/Meeting Papers | 1 |
Education Level
Elementary Education | 2 |
Grade 4 | 1 |
High Schools | 1 |
Higher Education | 1 |
Intermediate Grades | 1 |
Postsecondary Education | 1 |
Secondary Education | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
Program for the International… | 1 |
What Works Clearinghouse Rating
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
Daniel Weitekamp III; Erik Harpstead; Kenneth R. Koedinger – Grantee Submission, 2020
Intelligent tutoring systems (ITSs) have consistently been shown to improve the educational outcomes of students when used alone or combined with traditional instruction. However, building an ITS is a time-consuming process which requires specialized knowledge of existing tools. Extant authoring methods, including the Cognitive Tutor Authoring…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Instructional Design, 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
Emma C. Gargroetzi; Rosa D. Chavez; Jen Munson; Jennifer M. Langer-Osuna; Kimiko E. Lange – Grantee Submission, 2019
When students are working together, some off-task conversations actually smooth the way to working together more effectively. While many assume that off-task talk is unproductive, our study revealed that students used off-task talk predominantly for productive purposes. We found that off-task talk supported student access to collaboration, and…
Descriptors: Attention, Time on Task, Interpersonal Communication, Grade 4
Braithwaite, David W.; Pyke, Aryn A.; Siegler, Robert S. – Grantee Submission, 2017
Many children fail to master fraction arithmetic even after years of instruction, a failure that hinders their learning of more advanced mathematics as well as their occupational success. To test hypotheses about why children have so many difficulties in this area, we created a computational model of fraction arithmetic learning and presented it…
Descriptors: Arithmetic, Computation, Models, Mathematics Instruction