Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 2 |
| Since 2016 (last 10 years) | 2 |
| Since 2006 (last 20 years) | 2 |
Descriptor
Author
| Andrew S. Lan | 1 |
| Bauer, Elisabeth | 1 |
| Berndt, Markus | 1 |
| Danielle S. McNamara | 1 |
| Debshila Basu Mallick | 1 |
| Dresel, Markus | 1 |
| Fischer, Frank | 1 |
| Fischer, Martin R. | 1 |
| Greisel, Martin | 1 |
| Henry L. Roediger | 1 |
| Kollar, Ingo | 1 |
| More ▼ | |
Publication Type
| Reports - Descriptive | 2 |
| Journal Articles | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkBauer, Elisabeth; Greisel, Martin; Kuznetsov, Ilia; Berndt, Markus; Kollar, Ingo; Dresel, Markus; Fischer, Martin R.; Fischer, Frank – British Journal of Educational Technology, 2023
Advancements in artificial intelligence are rapidly increasing. The new-generation large language models, such as ChatGPT and GPT-4, bear the potential to transform educational approaches, such as peer-feedback. To investigate peer-feedback at the intersection of natural language processing (NLP) and educational research, this paper suggests a…
Descriptors: Peer Relationship, Feedback (Response), Artificial Intelligence, Natural Language Processing
Download full textDanielle S. McNamara; Tracy Arner; Reese Butterfuss; Debshila Basu Mallick; Andrew S. Lan; Rod D. Roscoe; Henry L. Roediger; Richard G. Baraniuk – Grantee Submission, 2022
The learning sciences inherently involve interdisciplinary research with an overarching objective of advancing theories of learning and to inform the design and implementation of effective instructional methods and learning technologies. In these endeavors, learning sciences encompass diverse constructs, measures, processes, and outcomes…
Descriptors: Artificial Intelligence, Learning Processes, Learning Motivation, Educational Research
