The adoption of artificial intelligence applications in education

Abstract

Artificial intelligence is user-friendly and possesses useful characteristics to share across the various services that are provided. By enhancing innovative contact, artificial intelligence applications (AIA) enable a more involved environment in governmental institutions. The goal of this study is to discover how users in the UAE feel about using AIA for educational reasons. Data collected from a survey of 387 university students were used to validate the model and hypotheses. The adoption features, such as perceived compatibility, trialability, relative advantage, ease of doing business, and technology export, are included in the conceptual model. The current study's practical implications are crucial in that they push the relevant educational authorities to comprehend the significance of each component and enable them to make plans and efforts in accordance with the order of the factors' relative importance. The managerial implications give educational sectors insight on how to apply AIA in their system to improve the growth of the provided service and to make the process easier for all users. The conceptual model of the paper, which links both traits of the individual and those of the technology, is what makes it new. The findings indicate that the diffusion theory variables outperform the other two variables of ease of doing business and technology export.

Adoptions of AI in Education: A Systematic Literature Review

“…But it is crucial to address issues like cost, equality, and ethics that come with using AI. By doing this, we can make sure that AI is applied to enhance everyone's education (Alhumaid et al, 2023).…”

Using deep learning-based artificial intelligence electronic images in improving middle school teachers’ literacy

“…Therefore, a scale has been developed to measure knowledge in using AI in teaching based on technological, pedagogical, and content knowledge frameworks. Alhumaid et al (2023) aimed to understand the perceptions of UAE users regarding the use of AI applications for educational purposes. The study results indicate that the performance of diffusion theory variables surpasses those of “doing business” and “technology export” variables.…”

Complex thinking through a Transition Design-guided Ideathon: testing an AI platform on the topic of sharing economy

“…Various technologies with AIEd monitor and track student and teacher interactions and administrative tasks. Students and teachers accept AIEd because they can perceive that its compatibility can solve their learning needs (Alhumaid et al, 2023). AIEd has enormous potential to improve learning, teaching, assessment, and educational administration and provide anywhere, anytime machine-supported queries and immediate feedback (Xia et al, 2022).…”