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مستوى التقبل التكنولوجي لتطبيقات الذكاء الاصطناعي في برامج إعداد المعلمين بالتعليم الجامعي في محافظة معان.

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Title: مستوى التقبل التكنولوجي لتطبيقات الذكاء الاصطناعي في برامج إعداد المعلمين بالتعليم الجامعي في محافظة معان.
Alternate Title: The level of technological acceptance of artificial intelligence applications in teacher preparation programs at university education in Ma'an Governorate.
Authors: جمان غالب الشاوي1 jomahnkalib@gmail.com
Source: Arab Journal for Quality Assurance in Higher Education. 2025, Vol. 18 Issue 65, p134-156. 23p.
Subject Terms: *College preparation programs, *Artificial intelligence, *College teachers, *Occupational training, Statistical significance
Abstract: The study aimed to investigate the impact of using artificial intelligence applications on improving the educational process, and the extent to which teachers in university teacher preparation programs at the College of Science accept these applications based on variables such as gender, academic year, and training courses. The study adopted a descriptive analytical approach and used a questionnaire consisting of multiple dimensions: expected ease of use and behavioral intentions. The sample included a number of students from the College of Science enrolled in teacher preparation programs in Ma'an Governorate, who were randomly selected. The results showed a neutral trend toward accepting artificial intelligence applications, with no statistically significant differences between the responses of teacher educators attributed to academic year, gender, or the number of training courses. The study recommended strengthening vocational training programs related to artificial intelligence technology, providing a supportive infrastructure, and integrating these technologies into curricula to improve the quality of education. It also encouraged innovation and conducted further future studies. [ABSTRACT FROM AUTHOR]
Copyright of Arab Journal for Quality Assurance in Higher Education is the property of University of Science & Technology and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Data: مستوى التقبل التكنولوجي لتطبيقات الذكاء الاصطناعي في برامج إعداد المعلمين بالتعليم الجامعي في محافظة معان.
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  Data: The level of technological acceptance of artificial intelligence applications in teacher preparation programs at university education in Ma'an Governorate.
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  Data: <searchLink fieldCode="AR" term="%22جمان+غالب+الشاوي%22">جمان غالب الشاوي</searchLink><relatesTo>1</relatesTo><i> jomahnkalib@gmail.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Arab+Journal+for+Quality+Assurance+in+Higher+Education%22">Arab Journal for Quality Assurance in Higher Education</searchLink>. 2025, Vol. 18 Issue 65, p134-156. 23p.
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  Data: *<searchLink fieldCode="DE" term="%22College+preparation+programs%22">College preparation programs</searchLink><br />*<searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br />*<searchLink fieldCode="DE" term="%22College+teachers%22">College teachers</searchLink><br />*<searchLink fieldCode="DE" term="%22Occupational+training%22">Occupational training</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+significance%22">Statistical significance</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: The study aimed to investigate the impact of using artificial intelligence applications on improving the educational process, and the extent to which teachers in university teacher preparation programs at the College of Science accept these applications based on variables such as gender, academic year, and training courses. The study adopted a descriptive analytical approach and used a questionnaire consisting of multiple dimensions: expected ease of use and behavioral intentions. The sample included a number of students from the College of Science enrolled in teacher preparation programs in Ma'an Governorate, who were randomly selected. The results showed a neutral trend toward accepting artificial intelligence applications, with no statistically significant differences between the responses of teacher educators attributed to academic year, gender, or the number of training courses. The study recommended strengthening vocational training programs related to artificial intelligence technology, providing a supportive infrastructure, and integrating these technologies into curricula to improve the quality of education. It also encouraged innovation and conducted further future studies. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Arab Journal for Quality Assurance in Higher Education is the property of University of Science & Technology and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.20428/ajqahe.v18i65.2970
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        Text: Arabic
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        StartPage: 134
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      – SubjectFull: College preparation programs
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      – SubjectFull: College teachers
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      – TitleFull: مستوى التقبل التكنولوجي لتطبيقات الذكاء الاصطناعي في برامج إعداد المعلمين بالتعليم الجامعي في محافظة معان.
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              Text: 2025
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