Investigating the Impact of Training Program on Generative AI Applications in Improving University Teaching

Recent innovations in artificial intelligence (AI) have had a profound impact on higher education, as they have on many other aspects of human existence. The current study aimed to investigate the impact of a training program on generative AI applications in enhancing lecturers' teaching capab...

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Main Authors: Mashael Awadh Al-Saiari, Yusra Mohammed Al-Mughairiyah, Basmah Nasser Al-Mashaikhiya, Badri Abdulhakim Mudhsh
Format: Article
Language:English
Published: Qubahan 2024-08-01
Series:Qubahan Academic Journal
Online Access:https://journal.qubahan.com/index.php/qaj/article/view/760
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author Mashael Awadh Al-Saiari
Yusra Mohammed Al-Mughairiyah
Basmah Nasser Al-Mashaikhiya
Badri Abdulhakim Mudhsh
author_facet Mashael Awadh Al-Saiari
Yusra Mohammed Al-Mughairiyah
Basmah Nasser Al-Mashaikhiya
Badri Abdulhakim Mudhsh
author_sort Mashael Awadh Al-Saiari
collection DOAJ
description Recent innovations in artificial intelligence (AI) have had a profound impact on higher education, as they have on many other aspects of human existence. The current study aimed to investigate the impact of a training program on generative AI applications in enhancing lecturers' teaching capabilities in higher education in the Sultanate of Oman. The study adopted a mixed-methods approach, utilizing both quasi-experimental and qualitative methods. Data were collected through pre- and post-tests conducted on a sample of 31 lecturers from higher education institutions in the sultanate of Oman, and interviews were conducted with six participants in the training program. The results showed a significant positive impact of the program, with significant statistical differences in post-test measurements compared to pre-test measurements and high effect sizes. The interviews also revealed a consensus among participants on the significant impact of the training program on improving teaching capabilities using generative AI applications. The study suggested providing specialized training programs focusing on generative AI applications, implementing educational programs dedicated to generative AI, and strengthening international collaboration in this domain. Based on the findings, the study provided suggestions and recommendations to address the impact of the training program on the use of generative AI applications for developing teaching methods among Omani lectures and beyond.
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institution Kabale University
issn 2709-8206
language English
publishDate 2024-08-01
publisher Qubahan
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series Qubahan Academic Journal
spelling doaj-art-fbe246638edc4394927c20d61aee5fa42025-02-03T10:11:44ZengQubahanQubahan Academic Journal2709-82062024-08-014310.48161/qaj.v4n3a760760Investigating the Impact of Training Program on Generative AI Applications in Improving University Teaching Mashael Awadh Al-Saiari0Yusra Mohammed Al-Mughairiyah 1Basmah Nasser Al-Mashaikhiya2Badri Abdulhakim Mudhsh3Preparatory Studies Center, University of Technology and Applied Sciences, Salalah 211, Sultanate of Oman;Ministry of Education, Muscat 113, Sultanate of Oman;Ministry of Education, Muscat 113, Sultanate of Oman;Preparatory Studies Center, University of Technology and Applied Sciences, Salalah 211, Sultanate of Oman; Recent innovations in artificial intelligence (AI) have had a profound impact on higher education, as they have on many other aspects of human existence. The current study aimed to investigate the impact of a training program on generative AI applications in enhancing lecturers' teaching capabilities in higher education in the Sultanate of Oman. The study adopted a mixed-methods approach, utilizing both quasi-experimental and qualitative methods. Data were collected through pre- and post-tests conducted on a sample of 31 lecturers from higher education institutions in the sultanate of Oman, and interviews were conducted with six participants in the training program. The results showed a significant positive impact of the program, with significant statistical differences in post-test measurements compared to pre-test measurements and high effect sizes. The interviews also revealed a consensus among participants on the significant impact of the training program on improving teaching capabilities using generative AI applications. The study suggested providing specialized training programs focusing on generative AI applications, implementing educational programs dedicated to generative AI, and strengthening international collaboration in this domain. Based on the findings, the study provided suggestions and recommendations to address the impact of the training program on the use of generative AI applications for developing teaching methods among Omani lectures and beyond. https://journal.qubahan.com/index.php/qaj/article/view/760
spellingShingle Mashael Awadh Al-Saiari
Yusra Mohammed Al-Mughairiyah
Basmah Nasser Al-Mashaikhiya
Badri Abdulhakim Mudhsh
Investigating the Impact of Training Program on Generative AI Applications in Improving University Teaching
Qubahan Academic Journal
title Investigating the Impact of Training Program on Generative AI Applications in Improving University Teaching
title_full Investigating the Impact of Training Program on Generative AI Applications in Improving University Teaching
title_fullStr Investigating the Impact of Training Program on Generative AI Applications in Improving University Teaching
title_full_unstemmed Investigating the Impact of Training Program on Generative AI Applications in Improving University Teaching
title_short Investigating the Impact of Training Program on Generative AI Applications in Improving University Teaching
title_sort investigating the impact of training program on generative ai applications in improving university teaching
url https://journal.qubahan.com/index.php/qaj/article/view/760
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AT basmahnasseralmashaikhiya investigatingtheimpactoftrainingprogramongenerativeaiapplicationsinimprovinguniversityteaching
AT badriabdulhakimmudhsh investigatingtheimpactoftrainingprogramongenerativeaiapplicationsinimprovinguniversityteaching