Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 3 |
Descriptor
| Cognitive Tests | 3 |
| Learning Strategies | 3 |
| Artificial Intelligence | 2 |
| Abstract Reasoning | 1 |
| Accuracy | 1 |
| Chemistry | 1 |
| Classification | 1 |
| Cognitive Ability | 1 |
| College Mathematics | 1 |
| College Students | 1 |
| Computation | 1 |
| More ▼ | |
Author
| Abouelenein, Yousri Attia… | 1 |
| Brian Hutchinson | 1 |
| Dongbo Tu | 1 |
| Emily Borda | 1 |
| Junhuan Wei | 1 |
| Liufen Luo | 1 |
| Logan Sizemore | 1 |
| Nagy Elmaadaway, Mohamed Ali | 1 |
| Yan Cai | 1 |
Publication Type
| Journal Articles | 3 |
| Reports - Research | 3 |
Education Level
| Higher Education | 2 |
| Postsecondary Education | 2 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Logan Sizemore; Brian Hutchinson; Emily Borda – Chemistry Education Research and Practice, 2024
Education researchers are deeply interested in understanding the way students organize their knowledge. Card sort tasks, which require students to group concepts, are one mechanism to infer a student's organizational strategy. However, the limited resolution of card sort tasks means they necessarily miss some of the nuance in a student's strategy.…
Descriptors: Artificial Intelligence, Chemistry, Cognitive Ability, Abstract Reasoning
Junhuan Wei; Liufen Luo; Yan Cai; Dongbo Tu – Journal of Educational and Behavioral Statistics, 2024
Response times (RTs) facilitate the quantification of underlying cognitive processes in problem-solving behavior. To provide more comprehensive diagnostic feedback on strategy selection and attribute profiles with multistrategy cognitive diagnosis model (CDM) and utilize additional information for item RTs, this study develops a multistrategy…
Descriptors: Reaction Time, Problem Solving, Selection Criteria, Accuracy
Abouelenein, Yousri Attia Mohamed; Nagy Elmaadaway, Mohamed Ali – Journal of Educational Computing Research, 2023
The current study aims to determine the effect of teaching a mechanic neuro-computerized course through virtual learning environments (VLE) to develop computational thinking among mathematics pre-service teachers. The neuro-computerized virtual learning environments (NCVLE) model was designed to be used to teach the mechanics course to third-year…
Descriptors: Computation, Thinking Skills, Electronic Learning, Learning Strategies

Peer reviewed
Direct link
