Publication Date
| In 2025 | 2 |
| Since 2024 | 3 |
| Since 2021 (last 5 years) | 3 |
| Since 2016 (last 10 years) | 4 |
| Since 2006 (last 20 years) | 4 |
Descriptor
| Artificial Intelligence | 4 |
| Individual Differences | 4 |
| Natural Language Processing | 4 |
| College Students | 2 |
| Computer Software | 2 |
| Foreign Countries | 2 |
| Knowledge Level | 2 |
| Science Instruction | 2 |
| Semantics | 2 |
| Student Attitudes | 2 |
| Technology Uses in Education | 2 |
| More ▼ | |
Source
| Contemporary Educational… | 1 |
| Grantee Submission | 1 |
| Impacting Education: Journal… | 1 |
| International Educational… | 1 |
Author
| Carmen Köhler | 1 |
| Danielle S. McNamara | 1 |
| Desmarais, Michel, Ed. | 1 |
| Ellana Black | 1 |
| Johannes Hartig | 1 |
| Kristen Betts | 1 |
| Linh Huynh | 1 |
| Lynch, Collin F., Ed. | 1 |
| Merceron, Agathe, Ed. | 1 |
| Nkambou, Roger, Ed. | 1 |
Publication Type
| Reports - Research | 3 |
| Journal Articles | 2 |
| Collected Works - Proceedings | 1 |
| Tests/Questionnaires | 1 |
Education Level
| Higher Education | 3 |
| Postsecondary Education | 3 |
| Elementary Education | 1 |
| Grade 8 | 1 |
| High Schools | 1 |
| Junior High Schools | 1 |
| Middle Schools | 1 |
| Secondary Education | 1 |
Audience
Location
| Alaska | 1 |
| Brazil | 1 |
| District of Columbia | 1 |
| Florida | 1 |
| Germany | 1 |
| Louisiana | 1 |
| Maryland | 1 |
| Minnesota | 1 |
| New Mexico | 1 |
| New York | 1 |
| Pennsylvania | 1 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkLinh Huynh; Danielle S. McNamara – Grantee Submission, 2025
We conducted two experiments to assess the alignment between Generative AI (GenAI) text personalization and hypothetical readers' profiles. In Experiment 1, four LLMs (i.e., Claude 3.5 Sonnet; Llama; Gemini Pro 1.5; ChatGPT 4) were prompted to tailor 10 science texts (i.e., biology, chemistry, physics) to accommodate four different profiles…
Descriptors: Natural Language Processing, Profiles, Individual Differences, Semantics
Download full textEllana Black; Kristen Betts – Impacting Education: Journal on Transforming Professional Practice, 2025
This convergent mixed methods research study investigated how a small, non-representative sample of Educational Doctorate (EdD) faculty perceive and use generative AI and how they have leveraged the technology to support EdD students. A cross-sectional survey was used to gather data from 27 EdD faculty members to assess their generative AI…
Descriptors: Doctoral Programs, Education Majors, College Faculty, Artificial Intelligence
Carmen Köhler; Johannes Hartig – Contemporary Educational Technology, 2024
Since ChatGPT-3.5 has been available to the public, the potentials and challenges regarding chatbot usage in education have been widely discussed. However, little evidence exists whether and for which purposes students even apply generative AI tools. The first main purpose of the present study was to develop and test scales that assess students'…
Descriptors: Artificial Intelligence, College Students, Natural Language Processing, Technology Uses in Education
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
