Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 2 |
Descriptor
| Computer Assisted Testing | 2 |
| Item Response Theory | 2 |
| Learning Strategies | 2 |
| Academic Ability | 1 |
| Achievement Gains | 1 |
| Case Studies | 1 |
| Children | 1 |
| Cognitive Ability | 1 |
| Computer Science Education | 1 |
| Data Collection | 1 |
| Elementary School Students | 1 |
| More ▼ | |
Publication Type
| Dissertations/Theses -… | 1 |
| Journal Articles | 1 |
| Reports - Research | 1 |
Education Level
| Elementary Education | 1 |
Audience
Location
| Netherlands | 1 |
Laws, Policies, & Programs
Assessments and Surveys
| Raven Progressive Matrices | 1 |
What Works Clearinghouse Rating
Stevenson, Claire E. – International Journal of Artificial Intelligence in Education, 2017
This study contrasted the effects of tutoring, multiple try and no feedback on children's progression in analogy solving and examined individual differences herein. Feedback that includes additional hints or explanations leads to the greatest learning gains in adults. However, children process feedback differently from adults and effective…
Descriptors: Tutoring, Feedback (Response), Children, Short Term Memory
Allevato, Anthony J. – ProQuest LLC, 2012
Educators in many disciplines are too often forced to rely on intuition about how students learn and the effectiveness of teaching to guide changes and improvements to their curricula. In computer science, systems that perform automated collection and assessment of programming assignments are seeing increased adoption, and these systems generate a…
Descriptors: Computer Science Education, Intuition, Grading, Computer Assisted Testing

Peer reviewed
Direct link
