Not quite eye to A.I.

Student and teacher perspectives on the use of generative artificial intelligence in the writing process

Dados Bibliográficos

ID23316645
AutoresAlex Barrett (0000-0003-1229-9743, Florida State University, autor correspondente), Austin Pack (0000-0002-3861-5620, Brigham Young University–Hawaii)
Ano2023
Volume20
Fascículo1
Data de publicação2023-11-10
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoInternational Journal of Educational Technology in Higher Education (JOURNAL)
Identificadores do periódicoISSN: 2365-9440 • E-ISSN: 2365-9440
EditoraSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1186/s41239-023-00427-0
OpenAlexW4388551749
IdiomaEN
Citações recebidas107
Referências citadas42

Generative artificial intelligence (GenAI) can be used to author academic texts at a similar level to what humans are capable of, causing concern about its misuse in education. Addressing the role of GenAI in teaching and learning has become an urgent task. This study reports the results of a survey comparing educators’ (n = 68) and university students’ (n = 158) perceptions on the appropriate use of GenAI in the writing process. The survey included representations of user prompts and output from ChatGPT, a GenAI chatbot, for each of six tasks of the writing process (brainstorming, outlining, writing, revising, feedback, and evaluating). Survey respondents were asked to differentiate between various uses of GenAI for these tasks, which were divided between student and teacher use. Results indicate minor disagreement between students and teachers on acceptable use of GenAI tools in the writing process, as well as classroom and institutional-level lack of preparedness for GenAI. These results imply the need for explicit guidelines and teacher professional development on the use of GenAI in educational contexts. This study can contribute to evidence-based guidelines on the integration of GenAI in teaching and learning.

Brainstorming · Higher education · Mathematics education · Pedagogy · Perception · Preparedness · Process (computing) · Task (project management) · AI in Service Interactions · Artificial Intelligence · Artificial Intelligence in Healthcare and Education · Computer Science · Engineering · Psychology · Text Readability and Simplification