Publication Date
In 2025 | 1 |
Since 2024 | 2 |
Since 2021 (last 5 years) | 2 |
Since 2016 (last 10 years) | 2 |
Since 2006 (last 20 years) | 2 |
Descriptor
Coding | 2 |
Computer Software | 2 |
Troubleshooting | 2 |
Artificial Intelligence | 1 |
Classroom Communication | 1 |
Computer Mediated… | 1 |
Computer Science Education | 1 |
Critical Thinking | 1 |
Educational Quality | 1 |
Grade 10 | 1 |
Grade 5 | 1 |
More ▼ |
Source
ACM Transactions on Computing… | 2 |
Publication Type
Journal Articles | 2 |
Reports - Descriptive | 1 |
Reports - Research | 1 |
Education Level
Elementary Education | 1 |
Grade 10 | 1 |
Grade 5 | 1 |
Grade 6 | 1 |
Grade 7 | 1 |
Grade 8 | 1 |
Grade 9 | 1 |
High Schools | 1 |
Intermediate Grades | 1 |
Junior High Schools | 1 |
Middle Schools | 1 |
More ▼ |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Eman Abdullah AlOmar – ACM Transactions on Computing Education, 2025
Large Language Models (LLMs), such as ChatGPT, have become widely popular for various software engineering tasks, including programming, testing, code review, and program comprehension. However, their impact on improving software quality in educational settings remains uncertain. This article explores our experience teaching the use of Programming…
Descriptors: Coding, Natural Language Processing, Artificial Intelligence, Computer Software
David DeLiema; Jeffrey K. Bye; Vijay Marupudi – ACM Transactions on Computing Education, 2024
Learning to respond to a computer program that is not working as intended is often characterized as finding a singular bug causing a singular problem. This framing underemphasizes the wide range of ways that students and teachers could notice discrepancies from their intention, propose causes of those discrepancies, and implement interventions.…
Descriptors: Computer Software, Troubleshooting, Intention, Intervention