PERCEPTIONS AND NEEDS OF STUDENTS FOR TEACHING AND LEARNING ON ARTIFICIAL INTELLIGENCE IN OCCUPATIONAL HEALTH AND SAFETY

Authors

  • Sudaw Lertwisuttipaiboon School of Health Science, Sukhothai Thammathirat Open University
  • Apiradee Sriopas School of Health Science, Sukhothai Thammathirat Open University

Keywords:

perceptions, needs, artificial intelligence, Occupational Health and Safety

Abstract

The purposes of this study were: 1) to examine learners' perceptions of artificial intelligence, 2) to assess learners' needs for teaching and learning about artificial intelligence in occupational health and safety curriculum, and 3) to investigate the relationship between the two factors as mentioned. This cross-sectional descriptive research adopted McClelland's Achievement Motivation Theory as the research framework. The participants were students who enroll in a bachelor's degree of Science (Occupational Health and Safety) of Sukhothai Thammathirat Open University. A sample of 199 students were recruited using a systematic random sampling method. The research instrument was a 5-point Likert scale estimation questionnaire. Data were analyzed using descriptive statistics, including frequency distribution, percentage, arithmetic mean, and standard deviation. Spearman's rank correlation was used to measure the association between the variables.

The results showed that: 1) the participants had a low level of perception of artificial intelligence with an average score of 1.94. Nearly half (42.71%) of the participants received information about artificial intelligence from online media, followed by radio/television media at 22.6 percent. Only 17.09 percent received from teaching in educational institutions, 2) the needs for teaching and learning about artificial intelligence of the participants was at a high level with an average score of 3.45, and 3) the students' perceptions and needs for teaching and learning about artificial intelligence in Occupational Health and Safety curriculum had a significantly correlation in the opposite direction (rs = - 0.82, p < .01).

The findings from this research will benefit academic institutions and related organizations in developing knowledge and skills about artificial intelligence. This could help to produce graduates to serve the business/industry sector in accordance with the needs of the learners and the national strategy.

Author Biography

Sudaw Lertwisuttipaiboon, School of Health Science, Sukhothai Thammathirat Open University

ฺBs.C. (Occupational Therapy), Ms.C. (Industrial Hygiene and Safety), Ph.D. (Environmental and Occupational Health)

References

Aimjitkusone, P. (n.d.). Does AI technology have an impact on employment, and how must workers prepare to adapt?. Digital Economy Promotion Agency. Retrieved January 15, 2022, from https://www.depa.or.th/th/article-view/ai-employment

American Psychological Association. (2022). APA Dictionary of Psychology. Retrieved December 28, 2022, from https://dictionary.apa.org/perception

Carlisle, S., Ivanov, S., & Dijkmans, C. (2021). The digital skills divide: evidence from the European tourism industry. Journal of Tourism Futures. Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/JTF-07-2020-0114

Chaisuwan, B., Kuldilok, P., & Sakuna, C. (2022). Situations, Trends, and Needs of Knowledge and Artificial Intelligence Skills for Enhancing WorkEffectiveness among Working-Age People in Thailand. Journal ofHumanities and Social Sciences, Burapha University, 30 (1), 110-134.

Cronbach, L. J. (1990). Essentials of psychological testing. (5th ed.). New York: HarperCollins Publishers, 201-204.

EU-OSHA. (2021). Impact of artificial intelligence on occupational safety andhealth. Retrieved December 28, 2022, from https://osha.europa.eu/en/publications/impact-artificial-intelligence-occupational-safety-and-health

Fréour, L., Pohl, S., & Battistelli, A. (2021). How digital technologies modify the work characteristics: A preliminary study. The Spanish Journal of Psychology. 24 (e14). https://doi.org/10.1017/SJP.2021.12

Krejcie, R. V. & Morgan, D. W. (1970). Determining Sample Size for ResearchActivities. Educational and Psychological Measurement. 30 (3), 607-610.

McClelland, D. C. (1961). The Achieving Society. New York: D. Van Nostrand.Ministry of Digital Economy and Society. (n.d.). Digital Thailand - AI EthicsGuideline. Retrieved December 29, 2022, from https://www.etda.or.th/getattachment/9d370f25-f37a-4b7c-b661-48d2d730651d/Digital-Thailand-AI-Ethics-Principle-and-Guideline.pdf.aspx?lang=th-TH

Ministry of Higher Education, Science, Research and Innovation & Ministry of Digital Economy and Society. (2022). National Artificial Intelligence Action Plan for Thailand Development (2022 – 2027). Retrieved January 5, 2022, from https://pub.nstda.or.th/gov-dx/wp-content/uploads/2022/12/20220726-AI.pdf.

Paungmalit, P., Traiphong, P., & Leelakitpaisarn. Y. (2018). Attitudes andAwareness of People on the Laws and Regulations on Sky Lantern. Journal of Graduate Studies Valaya Alongkron Rajabhat University. 12 (2), 142.

Rujichok, K. (2022). Knowledge Management System Development Plan toSend Rice PlanningPolicyfrom Thai Government to Farmers for Increasing Quality Products and Farmers Development Sustainability. Journal of MCU Buddhapanya Review. 7(3), 231-242.

Srisakbangtoei, S. (2019). The Development of Information Technology in Phrathandongrangvitthayakharn School. Journal of MCU Buddhapanya Review. 4 (3), 455-468.

Tepkayon, P. (2021). Perceptions, Understanding, and Behavior of NIDA Staff toward the Policy on Operational Excellence. Bangkok: Office of the President, National Institute of Development Administration.Retrieved December 29, 2022, fromhttps://www.km.nida.ac.th/th/images/PDF/research/paradeere164.pdf.

Yajing Xue, Y, & Wang, Y. (2022). Artificial Intelligence for Education and Teaching. Wireless Communications and Mobile Computing. https://doi.org/10.1155/2022/4750018

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Published

2024-04-30

How to Cite

Lertwisuttipaiboon, S., & Sriopas, A. (2024). PERCEPTIONS AND NEEDS OF STUDENTS FOR TEACHING AND LEARNING ON ARTIFICIAL INTELLIGENCE IN OCCUPATIONAL HEALTH AND SAFETY. Journal of MCU Buddhapanya Review, 9(2), 212–223. retrieved from https://so03.tci-thaijo.org/index.php/jmbr/article/view/266106

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Research Articles