Publication Date
| In 2025 | 0 |
| Since 2024 | 2 |
Descriptor
Author
| Christina Layton | 1 |
| Geng Sen | 1 |
| Hailey Silver | 1 |
| Megan Sardis | 1 |
| Melanie Adsit | 1 |
| Michelle Gorenstein-Holtzman | 1 |
| Paige M. Siper | 1 |
| Shang Shanshan | 1 |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkShang Shanshan; Geng Sen – Journal of Computer Assisted Learning, 2024
Background: Artificial intelligence-generated content (AIGC) has stepped into the spotlight with the emergence of ChatGPT, making effective use of AIGC for education a hot topic. Objectives: This study seeks to explore the effectiveness of integrating AIGC into programming learning through debugging. First, the study presents three levels of AIGC…
Descriptors: Artificial Intelligence, Educational Technology, Technology Integration, Programming
Christina Layton; Melanie Adsit; Hailey Silver; Megan Sardis; Michelle Gorenstein-Holtzman; Paige M. Siper – Journal of Museum Education, 2024
This study examined the efficacy of a novel manualized educator training as part of the Guggenheim Museum's Guggenheim for All (GFA) program to increase access to high-quality arts programming for neurodiverse individuals. Ten arts educators and 37 parents of autistic children aged 2-17 were recruited to participate in this study. Results…
Descriptors: Access to Education, Autism Spectrum Disorders, Online Courses, Art Teachers
