Publication Date
| In 2025 | 0 |
| Since 2024 | 2 |
| Since 2021 (last 5 years) | 3 |
| Since 2016 (last 10 years) | 3 |
| Since 2006 (last 20 years) | 3 |
Descriptor
Author
| Arif Cem Topuz | 1 |
| Dukewich, Kriste | 1 |
| Elif Taslibeyaz | 1 |
| Engin Kursun | 1 |
| Hamza Polat | 1 |
| Ilker Cingillioglu | 1 |
| Larsen, Carmen | 1 |
| Mine Yildiz | 1 |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
| Information Analyses | 1 |
Education Level
| Higher Education | 3 |
| Postsecondary Education | 3 |
| High Schools | 1 |
| Secondary Education | 1 |
Audience
| Practitioners | 1 |
| Researchers | 1 |
Location
| Canada | 3 |
| Australia | 2 |
| United Kingdom | 2 |
| United States | 2 |
| Africa | 1 |
| Asia | 1 |
| Belgium | 1 |
| China | 1 |
| Europe | 1 |
| Germany | 1 |
| Hong Kong | 1 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Download full textHamza Polat; Arif Cem Topuz; Mine Yildiz; Elif Taslibeyaz; Engin Kursun – International Journal of Technology in Education, 2024
ChatGPT has become a prominent tool for fostering personalized and interactive learning with the advancements in AI technology. This study analyzes 212 academic research articles indexed in the Scopus database as of July 2023. It maps the trajectory of educational studies on ChatGPT, identifying primary themes, influential authors, and…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Bibliometrics
Dukewich, Kriste; Larsen, Carmen – Online Submission, 2023
Generative AI platforms like ChatGPT have exploded into our cultural awareness this year. Across post-secondary institutions, it was immediately apparent that faculty were eager to explore and discuss what this potentially disruptive technology might mean for them, their courses and their students. We wanted to create an opportunity for that…
Descriptors: Artificial Intelligence, College Faculty, Teacher Attitudes, Postsecondary Education
Direct linkIlker Cingillioglu – Studies in Higher Education, 2024
This study provides an empirical approach to utilizing an Artificial Intelligence (AI)-based system for identifying students' university choice factors that impact their matriculation decision. We created an AI-based chatbot that gathered both qualitative and quantitative data from nearly 1200 participants worldwide. The entire human-AI…
Descriptors: Admission (School), Decision Making, Student Attitudes, College Choice
