The Use of AI-Driven Automation to Enhance Student Learning Experiences in the KSA: An Alternative Pathway to Sustainable Education

被引:4
|
作者
Mutambik, Ibrahim [1 ]
机构
[1] King Saud Univ, Coll Humanities & Social Sci, Dept Informat Sci, POB 11451, Riyadh 11437, Saudi Arabia
关键词
e-learning; learning management system (LMS); AI automation; student readiness; Student Online Learning Readiness (SOLR); sustainable education; TECHNOLOGY ACCEPTANCE MODEL; MANAGEMENT-SYSTEM LMS; PERCEIVED EASE; FIT; SUCCESS; ISSUES;
D O I
10.3390/su16145970
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The relevance of virtual learning platforms has been increasingly recognised, and their merit in contributing to sustainable education is ever growing. Depending on the context, the benefits of these virtual platforms were revealed during the COVID-19 pandemic. Moreover, their impact has lingered on post-COVID-19, and virtual learning is now considered a viable option for continuing and sustainable education. Therefore, many countries have taken advantage of these virtual platforms to maximise student engagement, as evidenced by the reports in the existing literature. However, while these studies have explored how this can best be achieved, there are very few studies which have examined how the use of virtual platforms can help to deliver an educational approach that prepares young people to address the many and complex sustainability challenges of the future, i.e., the delivery of sustainable education. This study addresses this gap in the literature by exploring the question of how AI-powered automation can enhance student learning experiences in the Kingdom of Saudi Arabia (hereafter, KSA) as an alternative pathway for sustainable education. Data were collected from 1991 undergraduate and postgraduate students across 10 different Saudi universities using an online survey. The data were analysed using advanced structural equation modelling (SEM) to examine the relationship between student readiness and the (AI-powered) automation of administrative processes. The findings highlight the transformative potential of AI as an alternative pathway to sustainable education and for streamlining learning management system (LMS) operations. The implications of this study extend beyond the immediate instructional context, offering strategic direction for educators, LMS designers, policymakers, and institutional leaders in harnessing AI to equip individuals with the knowledge, skills, values, and attitudes necessary to contribute to a sustainable future.
引用
收藏
页数:21
相关论文
共 30 条
  • [1] Greening Automation: Policy Recommendations for Sustainable Development in AI-Driven Industries
    Doran, Nicoleta Mihaela
    Badareu, Gabriela
    Doran, Marius Dalian
    Enescu, Maria
    Staicu, Anamaria Liliana
    Niculescu, Mariana
    SUSTAINABILITY, 2024, 16 (12)
  • [2] AI-driven adaptive learning for sustainable educational transformation
    Strielkowski, Wadim
    Grebennikova, Veronika
    Lisovskiy, Alexander
    Rakhimova, Guzalbegim
    Vasileva, Tatiana
    SUSTAINABLE DEVELOPMENT, 2024,
  • [3] Ethical issues of the use of AI-driven mobile apps for education
    Klimova, Blanka
    Pikhart, Marcel
    Kacetl, Jaroslav
    FRONTIERS IN PUBLIC HEALTH, 2023, 10
  • [4] Implementation of AI-driven technology into education - a pilot study on the use of chatbots in foreign language learning
    Polakova, Petra
    Klimova, Blanka
    COGENT EDUCATION, 2024, 11 (01):
  • [5] Introducing AIRSim: An Innovative AI-Driven Feedback Generation Tool for Supporting Student Learning
    Leong, Kelvin
    Sung, Anna
    TECHNOLOGY KNOWLEDGE AND LEARNING, 2025,
  • [6] TEACHER PERSPECTIVES ON AI-DRIVEN GAMIFICATION: IMPACT ON STUDENT MOTIVATION, ENGAGEMENT, AND LEARNING OUTCOMES
    Alenezi, Abdullah
    INFORMATION TECHNOLOGIES AND LEARNING TOOLS, 2023, 97 (05) : 138 - 148
  • [7] A Survey of Veterinary Student Perceptions on Integrating ChatGPT in Veterinary Education Through AI-Driven Exercises
    Sousa, S. Alonso
    Flay, Kate Jade
    JOURNAL OF VETERINARY MEDICAL EDUCATION, 2024,
  • [8] The future is yesterday: Use of AI-driven facial recognition to enhance value in the travel and tourism industry
    Shivam Gupta
    Sachin Modgil
    Choong-Ki Lee
    Uthayasankar Sivarajah
    Information Systems Frontiers, 2023, 25 : 1179 - 1195
  • [9] Student perceptions on the impact of AI on their teaching and learning experiences in higher education
    Tierney, Aisling
    Peasey, Peter
    Gould, Joe
    RESEARCH AND PRACTICE IN TECHNOLOGY ENHANCED LEARNING, 2025, 20
  • [10] The future is yesterday: Use of AI-driven facial recognition to enhance value in the travel and tourism industry
    Gupta, Shivam
    Modgil, Sachin
    Lee, Choong-Ki
    Sivarajah, Uthayasankar
    INFORMATION SYSTEMS FRONTIERS, 2023, 25 (03) : 1179 - 1195