Ros, Dr. Paradise
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THE CORRELATIONAL STUDY OF ARTIFICIAL INTELLIGENCE IN EDUCATION ON STUDENTS’ OUTCOMES: A Study of Higher Education in Private University, Phnom Penh, Cambodia By, Dr. Loeung; Ros, Dr. Paradise
Srawung: Journal of Social Sciences and Humanities Vol. 3 Issue 4 (2024)
Publisher : jfpublisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56943/jssh.v3i4.615

Abstract

Artificial Intelligence (AI) tool is very popular and essential for both teaching and learning activities in 21st century. While Artificial Intelligence (AI) has grown more widespread in education, its influence on student results is still debated. Some Cambodian universities have highlighted stresses about AI’s ability to stifle innovation and learning. This study aimed to assess students’ attitudes about AI and their perceptions of AI’s role in education, as well as the relationship between these characteristics and student outcomes.  Consequently, the aim of this research is to evaluate attitudes regarding Artificial Intelligence (AI) in education and views on the specific impact of AI on student achievements. Quantitative research was employed in the study, and this involved analyzing both descriptive and inferential data. Simple and multivariate regressions were utilized to assess the assess attitudes towards AI in education and specific perceptions in AI’s Role in education which impact on students’ outcomes. The study has designed accurate questionnaires to survey 222 individuals from higher education in private university in Cambodia. A regression study demonstrates that perceptions of AI’s Role in education have considerable impacts on students’ outcomes. The study’s findings indicate that perceptions about artificial intelligence’s role in education have major impacts on students’ achievements. This emphasizes the significance of instilling positive attitudes in pupils in order to get the benefits of AI in the classroom.
ANALYZING THE IMPACT OF ARTIFICIAL INTELLIGENCE ON JOB ROLES, SKILLS REQUIREMENTS, AND EMPLOYMENT PATTERNS: A Quantitative Study of Various Industries in Phnom Penh, Cambodia Ros, Dr. Paradise; Loeung, Dr. By
Srawung: Journal of Social Sciences and Humanities Vol. 4 Issue 1 (2025)
Publisher : jfpublisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56943/jssh.v4i1.699

Abstract

This study explores effects of artificial intelligence (AI) on Cambodia's workforce as AI becomes increasingly prevalent in work and education. Concerned about potential job displacement, the research investigates how AI is changing job roles, required skills, and employment patterns across various Cambodian industries. Using a quantitative approach, the study surveyed 435 individuals from different sectors and analyzed the data through simple and multivariate regressions. The findings indicate a strong link between AI and workforce dynamics. Specifically, task characteristics, specialized AI domain knowledge, and AI-driven information processing positively influence workforce changes. Interestingly, general AI skills and knowledge did not show a significant impact. Supplementing the quantitative data, interviews with key individuals offered insights into future of AI in employment, raising worries about job losses, data privacy issues, and unequal access. However, interviewees also acknowledged AI's potential to boost productivity and benefit both employers and employees through ethical implementation, reskilling initiatives, and collaborative approaches. The study concludes by recommending that businesses invest in strategic AI integration, specialized training, talent acquisition, and job redesign to effectively leverage the transformative power of AI.