Embracing generative artificial intelligence: The perspectives of English instructors in Thai higher education institutions

This study explored the perspectives of English instructors from Thai higher education institutions, with a focus on teachers’ familiarity with generative artificial intelligence (GenAI) and its potential impact on teachers’ professional roles and responsibilities. The results suggested that GenAI t...

Full description

Saved in:
Bibliographic Details
Main Authors: Lucas Kohnke, Mark B. Ulla
Format: Article
Language:English
Published: Hong Kong Bao Long Accounting & Secretarial Limited 2024-12-01
Series:Knowledge Management & E-Learning: An International Journal
Subjects:
Online Access:https://www.kmel-journal.org/ojs/index.php/online-publication/article/view/605
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832544987398537216
author Lucas Kohnke
Mark B. Ulla
author_facet Lucas Kohnke
Mark B. Ulla
author_sort Lucas Kohnke
collection DOAJ
description This study explored the perspectives of English instructors from Thai higher education institutions, with a focus on teachers’ familiarity with generative artificial intelligence (GenAI) and its potential impact on teachers’ professional roles and responsibilities. The results suggested that GenAI tools may allow English instructors to transition from traditional teachers to facilitators by using the tools to assist with both routine writing tasks and high-level academic work. Meanwhile, it was found that instructors worried about possible over-reliance on GenAI. The participants emphasised that human instructors were still needed, although their roles needed to evolve. Significant gaps were identified in the competencies related to professional development, curriculum design, teacher training programmes, ethics, and responsibility. The findings may support the professional growth of current and future English instructors and facilitate the incorporation of GenAI in teaching practice. The findings also underscore the necessity of comprehensive GenAI training for pre-service teachers, the development of robust guidelines to navigate ethical challenges, and the examination of the impact of GenAI tools on student engagement and learning outcomes.
format Article
id doaj-art-c045371e1d5643458c1c42fcfa360efa
institution Kabale University
issn 2073-7904
language English
publishDate 2024-12-01
publisher Hong Kong Bao Long Accounting & Secretarial Limited
record_format Article
series Knowledge Management & E-Learning: An International Journal
spelling doaj-art-c045371e1d5643458c1c42fcfa360efa2025-02-03T08:31:40ZengHong Kong Bao Long Accounting & Secretarial LimitedKnowledge Management & E-Learning: An International Journal2073-79042024-12-0116465367010.34105/j.kmel.2024.16.030Embracing generative artificial intelligence: The perspectives of English instructors in Thai higher education institutionsLucas Kohnke0https://orcid.org/0000-0001-6717-5719Mark B. Ulla1https://orcid.org/0000-0003-1005-5120The Education University of Hong Kong, Hong KongWalailak University, ThailandThis study explored the perspectives of English instructors from Thai higher education institutions, with a focus on teachers’ familiarity with generative artificial intelligence (GenAI) and its potential impact on teachers’ professional roles and responsibilities. The results suggested that GenAI tools may allow English instructors to transition from traditional teachers to facilitators by using the tools to assist with both routine writing tasks and high-level academic work. Meanwhile, it was found that instructors worried about possible over-reliance on GenAI. The participants emphasised that human instructors were still needed, although their roles needed to evolve. Significant gaps were identified in the competencies related to professional development, curriculum design, teacher training programmes, ethics, and responsibility. The findings may support the professional growth of current and future English instructors and facilitate the incorporation of GenAI in teaching practice. The findings also underscore the necessity of comprehensive GenAI training for pre-service teachers, the development of robust guidelines to navigate ethical challenges, and the examination of the impact of GenAI tools on student engagement and learning outcomes.https://www.kmel-journal.org/ojs/index.php/online-publication/article/view/605artificial intelligencegenerative artificial intelligencechatgptthailandteachersenglish language teaching
spellingShingle Lucas Kohnke
Mark B. Ulla
Embracing generative artificial intelligence: The perspectives of English instructors in Thai higher education institutions
Knowledge Management & E-Learning: An International Journal
artificial intelligence
generative artificial intelligence
chatgpt
thailand
teachers
english language teaching
title Embracing generative artificial intelligence: The perspectives of English instructors in Thai higher education institutions
title_full Embracing generative artificial intelligence: The perspectives of English instructors in Thai higher education institutions
title_fullStr Embracing generative artificial intelligence: The perspectives of English instructors in Thai higher education institutions
title_full_unstemmed Embracing generative artificial intelligence: The perspectives of English instructors in Thai higher education institutions
title_short Embracing generative artificial intelligence: The perspectives of English instructors in Thai higher education institutions
title_sort embracing generative artificial intelligence the perspectives of english instructors in thai higher education institutions
topic artificial intelligence
generative artificial intelligence
chatgpt
thailand
teachers
english language teaching
url https://www.kmel-journal.org/ojs/index.php/online-publication/article/view/605
work_keys_str_mv AT lucaskohnke embracinggenerativeartificialintelligencetheperspectivesofenglishinstructorsinthaihighereducationinstitutions
AT markbulla embracinggenerativeartificialintelligencetheperspectivesofenglishinstructorsinthaihighereducationinstitutions