Work

Evaluation of Success Factors in Adopting Artificial Intelligence in E-Learning Environment

Year: 2021

Type: article

Abstract: This paper focuses on assessing the critical success factors [CSF]in the adoptionofartificial intelligence (AI) technology in E-learning. It is a quantitative assessment study based on the students and teachers’perceptions of United Arab Emirates the Joint Command and Staff College (JCSC). Data was collected using questionnaire survey where the questionnaire was distributed to a total of 240 JCSC students and teachers of the college however only 207 completed forms were received. The questionnaire contained 20 CSF in seven group to investigate the level of importance of each CSF in adopting AI and E-learning using 5-points Likert scale. The data was analysed descriptively using SPSS software package. The results of the analysis found that eighteen of twenty CSFs considered in the investigation are reported as high level of importance. The most important CSF is that “AI systems able to compute big data for improving teaching” with having the highest mean score of 4.04 in adopting AI technology in E-learning for the UAE military colleges. In term of factors’ group, the most important group is “making education more interesting’’ with having mean score of 3.98. however, further analysis found that respondents having higher degree picked personalizationgroup while respondent having a lot of teaching experience respondents picked performance monitoringgroup of factors as the most critical success factors groups. The findings from this study are very helpful in formulating strategies for the promotion of AI advanced technology in the education system and getting its maximum benefits.

Source: International Journal of Sustainable Construction Engineering Technology

DOI: 10.30880/ijscet.2021.12.03.035

Authors: Universiti Tun Hussein Onn Malaysia, Ali Mohamed Ali Alnaqbi, Azlina Md Yassin, Universiti Tun Hussein Onn Malaysia

Institution: Tun Hussein Onn University of Malaysia

Language: English

Topic: Artificial Intelligence in Education

Subfield: Education

Field: Social Sciences

Domain: Social Sciences

SDG: Quality education

Open Access status: diamond

Funder: Universiti Tun Hussein Onn Malaysia