Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 4 |
Since 2016 (last 10 years) | 4 |
Descriptor
Author
Burstein, Jill | 1 |
Bünyami Kayali | 1 |
Devyn Maguire | 1 |
Elliot, Norbert | 1 |
Hazelton, Lynette | 1 |
Kelsey Behringer | 1 |
McCaffrey, Daniel F. | 1 |
Mehmet Yavuz | 1 |
Mücahit Çalisan | 1 |
Nastal, Jessica | 1 |
Olney, Andrew M. | 1 |
More ▼ |
Publication Type
Reports - Research | 3 |
Journal Articles | 2 |
Reports - Descriptive | 1 |
Speeches/Meeting Papers | 1 |
Education Level
Two Year Colleges | 4 |
Higher Education | 3 |
Postsecondary Education | 3 |
Adult Education | 1 |
Audience
Location
Illinois | 1 |
Pennsylvania | 1 |
Tennessee | 1 |
Turkey | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Kelsey Behringer; Devyn Maguire – New Directions for Community Colleges, 2024
This article dives into the reality of how, since 2023, generative artificial intelligence (AI) has emerged as an inescapable force in education and highlights the work of community college faculty in use of AI in teaching and learning. ChatGPT is an example of a relatively new and rapidly evolving aspect of AI research, the large language model.…
Descriptors: Artificial Intelligence, Technology Uses in Education, Opportunities, College Faculty
Bünyami Kayali; Mehmet Yavuz; Sener Balat; Mücahit Çalisan – Australasian Journal of Educational Technology, 2023
The purpose of this study was to determine university students' experiences with the use of ChatGPT in online courses. The sample consisted of 84 associate degree students from a state university in Turkey. A multi-method approach was used in the study. Although quantitative data were collected using the Chatbot Usability Scale, qualitative data…
Descriptors: Student Experience, Artificial Intelligence, Natural Language Processing, Electronic Learning
Olney, Andrew M. – Grantee Submission, 2021
In contrast to simple feedback, which provides students with the correct answer, elaborated feedback provides an explanation of the correct answer with respect to the student's error. Elaborated feedback is thus a challenge for AI in education systems because it requires dynamic explanations, which traditionally require logical reasoning and…
Descriptors: Feedback (Response), Error Patterns, Artificial Intelligence, Test Format
Hazelton, Lynette; Nastal, Jessica; Elliot, Norbert; Burstein, Jill; McCaffrey, Daniel F. – Grantee Submission, 2021
In writing studies research, automated writing evaluation technology is typically examined for a specific, often narrow purpose: to evaluate a particular writing improvement measure, to mine data for changes in writing performance, or to demonstrate the effectiveness of a single technology and accompanying validity arguments. This article adopts a…
Descriptors: Formative Evaluation, Writing Evaluation, Automation, Natural Language Processing