article · Education Sciences
A survey of 358 higher education faculty members across the Middle East explores the factors influencing the integration of generative artificial intelligence into student assessments. Using the Unified Theory of Acceptance and Use of Technology framework, the research examines early adopters who are actively creating systematic methods and new strategies to incorporate these digital tools into coursework. Instructors identify notable advantages, including reduced workloads for educators and increased engagement among students. However, substantial concerns persist regarding academic integrity and potential declines in learners' writing and critical thinking abilities. The analysis indicates that performance expectancy, effort expectancy, social influences, and hedonic motivation significantly drive intentions and actual tool usage. Clear institutional policies, alongside targeted professional development and robust ethical guidelines, are highlighted as essential requirements for guiding effective assessment practices.
Generative artificial intelligence is rapidly shifting the landscape of university grading and assignment design. Understanding how instructors adopt these tools helps higher education leaders balance efficiency with educational standards. The findings underline the need for clear guidelines, professional development, and ethical rules so universities can capture the operational benefits of artificial intelligence while actively safeguarding student critical thinking and academic integrity.
Educational technology developers and training providers can use these findings to design assessment platforms tailored to university staff needs. Tools that address faculty workloads while embedding academic integrity checks and critical thinking safeguards match educator priorities. Although the research focuses on user perceptions rather than testing a specific product, the insights offer immediate guidance for vendors creating artificial intelligence assessment software and institutional training programmes.
AI-generated from the published abstract. Always read the original work before citing.
This study examines the factors that may impact the adoption of generative artificial intelligence (Gen AI) tools for students’ assessment in tertiary education from the perspective of early-adopter instructors in the Middle East. It utilized a self-administered online survey and the Unified Theory of Acceptance and Use of Technology (UTAUT) model to collect data from 358 faculty members from different countries in the Middle East. The Smart PLS software 4 was used to analyze the data. The findings of this study revealed that educators developed new strategies to integrate Gen AI into assessment and used a systematic approach to develop assignments. Moreover, the study demonstrated the importance of developing institutional policies for the integration of Gen AI in education, as a driver factor influencing the use of Gen AI in assessments. Additionally, the research identified significant factors, namely performance expectancy, effort expectancy, social influences, and hedonic motivation, shaping educators’ behavioral intentions and actual use of Gen AI tools to assess students’ performance. The findings reveal both the potential advantages of Gen AI, namely enhanced student engagement and reduced instructor workloads, and challenges, including concerns over academic integrity and the possible negative impact on students’ writing and thinking skills. This study emphasizes the significance of targeted professional development and ethical criteria for the proper integration of Gen AI in educational assessment.
This page summarises published work. The authoritative version sits with the publisher.
DOI: 10.3390/educsci14101090
Is something wrong with this record? Report it or request removal.
Discussion
Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.
No discussion yet. Open the first thread.
New to MARATTO™? Create a free account.
