Publication Date
| In 2026 | 0 |
| Since 2025 | 4 |
| Since 2022 (last 5 years) | 6 |
| Since 2017 (last 10 years) | 6 |
| Since 2007 (last 20 years) | 6 |
Descriptor
| Artificial Intelligence | 6 |
| Educational Policy | 6 |
| Man Machine Systems | 6 |
| Natural Language Processing | 6 |
| Technology Uses in Education | 5 |
| Ethics | 4 |
| Integrity | 3 |
| Cheating | 2 |
| Higher Education | 2 |
| Student Attitudes | 2 |
| Undergraduate Students | 2 |
| More ▼ | |
Source
| Adult Learning | 1 |
| Contemporary Educational… | 1 |
| Higher Education Policy… | 1 |
| Higher Learning Research… | 1 |
| Technology in Language… | 1 |
| West Virginia Department of… | 1 |
Author
| Betsy Barre | 1 |
| Claire Frances | 1 |
| Edmund De Leon Evangelista | 1 |
| Giovanni Zimotti | 1 |
| Josh Freeman | 1 |
| Karen Singer-Freeman | 1 |
| Kristi Verbeke | 1 |
| Luke Whitaker | 1 |
| Michael Agyemang Adarkwah | 1 |
Publication Type
| Journal Articles | 4 |
| Reports - Research | 4 |
| Guides - General | 1 |
| Information Analyses | 1 |
| Reports - Evaluative | 1 |
| Tests/Questionnaires | 1 |
Education Level
| Higher Education | 4 |
| Postsecondary Education | 4 |
| Adult Education | 1 |
| Elementary Secondary Education | 1 |
Audience
| Administrators | 1 |
| Support Staff | 1 |
| Teachers | 1 |
Location
| United Kingdom | 1 |
| West Virginia | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
West Virginia Department of Education, 2025
This guidance centers around the users of artificial intelligence (AI) in various roles throughout West Virginia PK-12 schools. It is designed to assist individuals such as superintendents, district staff, educators, and support staff in the appropriate and effective use of AI, particularly generative AI technologies, within West Virginia schools.…
Descriptors: Technology Uses in Education, Elementary Secondary Education, Artificial Intelligence, Man Machine Systems
Karen Singer-Freeman; Kristi Verbeke; Betsy Barre – Higher Learning Research Communications, 2025
Objectives: The present study investigated the extent to which AI use and opinions about its use will vary by academic stage and academic task in ways that align with Budwig's (2013) developmental stages. Methods: We surveyed 1,259 students from different academic stages (first-year students, sophomores, juniors, seniors, and graduate students) at…
Descriptors: Undergraduate Students, Graduate Students, Educational Technology, Educational Policy
Edmund De Leon Evangelista – Contemporary Educational Technology, 2025
The rapid advancement of artificial intelligence (AI) technologies, particularly OpenAI's ChatGPT, has significantly impacted higher education institutions (HEIs), offering opportunities and challenges. While these tools enhance personalized learning and content generation, they threaten academic integrity, especially in assessment environments.…
Descriptors: Artificial Intelligence, Integrity, Educational Strategies, Natural Language Processing
Josh Freeman – Higher Education Policy Institute, 2024
This new Policy Note by HEPI and Kortext explores students' attitudes to AI. Based on a poll of 1,250 students through UCAS, we build a picture of the way students use and view generative AI technologies like ChatGPT and Google Bard. We find that the use of generative AI has become normalised in higher education, but that universities have so far…
Descriptors: Undergraduate Students, Artificial Intelligence, Man Machine Systems, Natural Language Processing
Michael Agyemang Adarkwah – Adult Learning, 2025
Adult learners are a neglected species in the generative artificial intelligence (GenAI) era. The sweeping changes brought by GenAI in the educational arena have implications for adult learning. GenAI in education will usher in a world of adult learning that will be radically different from its predecessor. However, how adult learners will apply…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Adult Learning
Giovanni Zimotti; Claire Frances; Luke Whitaker – Technology in Language Teaching & Learning, 2024
This study explores the perceptions of second language (L2) educators on the surge of Large Language Models (LLMs) like ChatGPT, and their potential impact on language education. We surveyed over 100 L2 instructors, asking questions about their ideas for AI-proofing assignments, their policies, and their perceptions of how this tool will impact…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Second Language Instruction

Peer reviewed
Direct link
