|
AI IN LAO EDUCATION: BALANCING WORKLOAD MANAGEMENT AND SKILL DEVELOPMENT IN HIGHER EDUCATION |
|---|---|
| รหัสดีโอไอ | |
| Creator | Chaymaly PHAKASOUM |
| Title | AI IN LAO EDUCATION: BALANCING WORKLOAD MANAGEMENT AND SKILL DEVELOPMENT IN HIGHER EDUCATION |
| Contributor | Voutixay SIHALATH, Souvanh SISAAT, Doulakhom THEPPARSOUK |
| Publisher | Asian Education and Learning Review |
| Publication Year | 2569 |
| Journal Title | Asian Education and Learning Review |
| Journal Vol. | 4 |
| Journal No. | 1 |
| Page no. | Article 5 |
| Keyword | Artificial Intelligence, Higher Education, Academic Workload Management, Skill Development, Lao PDR |
| URL Website | https://so07.tci-thaijo.org/index.php/AELR |
| Website title | https://so07.tci-thaijo.org/index.php/AELR/article/view/9107 |
| ISSN | 2985-2862 |
| Abstract | This study explores the integration of Artificial Intelligence (AI) into higher education in Vientiane, Lao PDR, examining its impact on academic workload management and the practical skill development of students and postgraduates in engineering, economics, and social sciences. Employing a mixed-methods approach, the research combines quantitative survey data on AI usage with qualitative insights from educators. Key findings reveal that while AI tools enhance efficiency and support personalized learning, they also pose challenges, such as the potential for skill atrophy and widening digital equity gaps. The study highlights a “performance paradox,” where AI-assisted gains can overshadow the development of foundational skills. Systemic barriers, including uneven access to training and limited awareness of specialized AI applications, further complicate integration. The research emphasizes the need for comprehensive AI literacy programs, curriculum redesign to augment learning, and policies to address ethical concerns and promote equitable opportunities. The findings provide empirical evidence to inform policymakers and educators on strategies for harnessing AI’s benefits while mitigating its risks in resource-constrained settings. |
