Integrating AI into Malaysian School Counselling: A Study on Opportunities, Challenges, and Ethics
Keywords:
Artificial intelligence, School counseling, Ethical considerationAbstract
The use of artificial intelligence (AI) in school counseling has the potential to revolutionize the way counseling services are delivered through the provision of personalized support and data-driven decision-making. This paper explores the potential opportunities, challenges, and ethical considerations of using AI in Malaysian school counseling. The paper also highlights several ethical considerations that must be taken into account when integrating AI into school counseling practices, such as protecting students’ privacy and avoiding bias in AI-generated data. Overall, this paper provides a comprehensive exploration on the potential of using AI in Malaysian school counseling and highlights the opportunities, challenges, and ethical considerations that are applicable when implementing the technology into school counseling.
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Alexander, E. R., Savitz-Romer, M., Nicola, T. P., Rowan-Kenyon, H. T., & Carroll, S. (2022). “We are the heartbeat of the school”: How school counselors supported student mental health during the COVID-19 pandemic. Professional School Counseling, 26(1b), 2156759X221105557.
Annamalai, N. (2021). Online learning during COVID-19 Pandemic. Are Malaysian high school students ready?. Pertanika Journal of Social Sciences & Humanities, 29(3). https://doi.org/10.47836/pjssh.29.3.06
Buckley, A., Kelly, P., & O’Brien, D. (2019). The development of an AI-powered online counselling service: Challenges and opportunities. Journal of Technology in Human Services, 37(2), 89–105. https://doi.org/10.1080/15228835.2019.1571409
Chen, K. S., & Kok, J. K. (2017). Barriers to seeking school counselling: Malaysian Chinese school students’ perspectives. Journal of psychologists and counsellors in schools, 27(2), 222-238. https://doi.org/10.1017/jgc.2015.21
Crowson, M. G., Bates, D. W., Suresh, K., Cohen, M. S., & Hartnick, C. J. (2023). “Human vs Machine” Validation of a Deep Learning Algorithm for Pediatric Middle Ear Infection Diagnosis. Otolaryngology–Head and Neck Surgery, 169(1), 41-46. https://doi.org/10.1177/01945998221119156
Del Giacco, L., Anguera, M. T., & Salcuni, S. (2020). The action of verbal and non-verbal communication in the therapeutic alliance construction: a mixed methods approach to assess the initial interactions with depressed patients. Frontiers in psychology, 11, 502544. https://doi.org/10.3389/fpsyg.2020.00234
Ezeah, P., & Opara, I. (2019). The role of e-counseling in addressing the challenges of counseling services in Nigeria. International Journal of Scientific and Research Publications, 9(3), 450–454.
Fulmer, R. (2019). Artificial intelligence and counseling: Four levels of implementation. Theory & Psychology, 29(6), 807-819. https://doi.org/10.1177/0959354319853045
Ganaprakasam, C., & Selvaraja, T. (2020). Cognitive behavioural group therapy on test anxiety among primary school students. Malaysian Journal of Social Sciences and Humanities (MJSSH), 5(6), 61-67. https://doi.org/10.47405/mjssh.v5i6.427
Ganesan, V., & Ng, C. G. (2017). Stigma and discrimination towards people with mental illness in Malaysia. Asia-Pacific Psychiatry, 9(4), e12288. https://doi.org/10.1111/appy.12288
Grové, C. (2021). Co-developing a mental health and wellbeing chatbot with and for young people. Frontiers in psychiatry, 11, 1-12. https://doi.org/10.3389/fpsyt.2020.606041
Hamidi, F., Meshkat, M., Rezaee, M., & Jafari, M. (2011). Information technology in education. Procedia Computer Science, 3, 369-373.
Han, J. W., Park, J., & Lee, H. (2022). Analysis of the effect of an artificial intelligence chatbot educational program on non-face-to-face classes: a quasi-experimental study. BMC Medical Education, 22(1), 830. https://doi.org/10.1186/s12909-022-03898-3
Jafar, A., Dollah, R., Sakke, N., Mapa, M. T., Hua, A. K., Eboy, O. V., Joko, E. P., Hassan, D., & Hung, C. V. (2022). Assessing the challenges of e-learning in Malaysia during the pandemic of Covid-19 using the geo-spatial approach. Scientific reports, 12(1), 1-10. https://doi.org/10.1038/s41598-022-22360-4
Krutka, D. G., Manca, S., Galvin, S. M., Greenhow, C., Koehler, M. J., & Askari, E. (2019). Teaching “against” social media: Confronting problems of profit in the curriculum. Teachers College Record, 121(14), 1-42.
Johari, K. S. K., & Amat, M. I. (2019). Malaysian school counsellors’ challenges in job description, job satisfaction and competency. Religación: Revista de Ciencias Sociales y Humanidades, 4(19), 93-99. Retrieved from https://revista.religacion.com/index.php/religacion/article/view/439
Ling Chan, E. W. (2021). AI in healthcare: Applications and challenges. International E-Journal of Science, Medicine & Education, 15(3), 1–4. https://doi.org/10.56026/imu.15.3.1
Mazlan, R., Kee, H. W., Yusoff, S. M., Chin, W. Y., Ahmad, S. S., & Baharudin, R. (2020). The availability and accessibility of mental health services in Malaysia: A review. Malaysian Journal of Medical Sciences, 27(4), 9–21. https://doi.org/10.21315/mjms2020.27.4.2
Mir, I. A., Ng, S. K., Mohd Jamali, M. N. Z., Jabbar, M. A., & Humayra, S. (2023). Determinants and predictors of mental health during and after COVID-19 lockdown among university students in Malaysia. PloS one, 18(1), 1-16. https://doi.org/10.1371/journal.pone.0280562
Mokhtar, I. A., Halim, S. A., Yusoff, N., Sharif, N. A. M., & Zahid, N. H. M. (2021). Artificial intelligence in mental health: A systematic review of primary studies. Health Information Science and Systems, 9(1), 1–13. https://doi.org/10.1007/s13755-021-00129-4
MOSTI, M. of S. T. & I. (2021). Malaysia National Artificial Intelligence Roadmap 2021-2025 (AI-RMAP). https://airmap.my/apps
Murphy, R. F. (2019). Artificial intelligence applications to support K-12 teachers and teaching: A review of promising applications, challenges, and risks. Rand Corporation, 10, 1–20. https://doi.org/10.7249/PE315
Pheng, T. L., Wan Jaafar, W. M., & Nor, M. N. (2019). Stigma and attitudes toward seeking counseling among undergraduate students. Journal GJAT, Special Issue, 93-105.
Porges, S. W. (2022). Polyvagal theory: A science of safety. Frontiers in integrative neuroscience, 16, 1–15. https://doi.org/10.3389/fnint.2022.871227
Raja, R., & Nagasubramani, P. C. (2018). Impact of modern technology in education. Journal of Applied and Advanced Research, 3(1), 33-35.
Reiss, M. J. (2021). The Use of Al in Education: Practicalities and Ethical Considerations. London Review of Education, 19(1), 5, 1–14. https://doi.org/10.14324/LRE.19.1.05
Renz, A., Krishnaraja, S., & Gronau, E. (2020). Demystification of artificial intelligence in education–How much AI is really in the educational technology?. International Journal of Learning Analytics and Artificial Intelligence for Education (iJAI), 2(1), 14.
Selvanathan, M., Hussin, N. A. M., & Azazi, N. A. N. (2023). Students learning experiences during COVID-19: Work from home period in Malaysian Higher Learning Institutions. Teaching Public Administration, 41(1), 13-22. https://doi.org/10.1177/0144739420977900
Wong, M. L., Chan, C. K. Y., Tan, H. H., Tan, L. M., & Choo, C. C. (2021). Artificial intelligence in mental health: Addressing the stigma associated with seeking help from a machine. Journal of Medical Internet Research, 23(3), e23482. https://doi.org/10.2196/23482
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