Potentiality and Apprehensions of Artificial Intelligence in Education: Perspectives of Education Staff
DOI:
https://doi.org/10.46328/ijemst.4177Abstract
The present study aimed to assess the potentiality and apprehensions of artificial intelligence (AI) in education. It also investigated the challenges of AI integration into education from the teachers' perspectives. A cross-sectional study design was adopted. Through random sampling, a total of 63 members of faculty were recruited from Kuwait University. An online questionnaire was administered to the study participants. The data was analyzed through SPSS version 26, using descriptive statistics, t-tests, and ANOVA. The results showed that there was a remarkably high consensus about the potentiality of AI for education. The teachers’ readiness to adopt AI was low. Data analysis, machine learning, and natural language processing were the most important aspects of linking education and AI. The participants highlighted that for the empowerment of students, AI system use cases, evaluation of the intelligence of AI systems, and identification of the technical limitations of AI systems were crucial. Greater were challenges and difficulties in using AI such as the lack of availability of suitable educational materials, unavailability of required expertise in the field, and the complexity of the subject. However, no statistical difference attributed to gender, academic degree, and academic department in terms of facing challenges was found.Downloads
Published
Issue
Section
License
Articles may be used for research, teaching, and private study purposes. Authors alone are responsible for the contents of their articles. The journal owns the copyright of the articles. The publisher shall not be liable for any loss, actions, claims, proceedings, demand, or costs or damages whatsoever or howsoever caused arising directly or indirectly in connection with or arising out of the use of the research material.
The author(s) of a manuscript agree that if the manuscript is accepted for publication in the journal, the published article will be copyrighted using a Creative Commons “Attribution 4.0 International” license. This license allows others to freely copy, distribute, and display the copyrighted work, and derivative works based upon it, under certain specified conditions.
Authors are responsible for obtaining written permission to include any images or artwork for which they do not hold copyright in their articles, or to adapt any such images or artwork for inclusion in their articles. The copyright holder must be made explicitly aware that the image(s) or artwork will be made freely available online as part of the article under a Creative Commons “Attribution 4.0 International” license.
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
