Exploring the Role of Artificial Intelligence in School Counselling: Opportunities & Challenges.

Lisa Henderson; Meegan Brown

doi:10.63529/ajpe.v7i1.15207

Authors

Lisa Henderson Queensland University of Technology https://orcid.org/0000-0002-4586-8335
Meegan Brown Queensland University of Technology https://orcid.org/0000-0001-6710-4400

DOI:

https://doi.org/10.63529/ajpe.v7i1.15207

Keywords:

school counselling, artificial intelligence, opportunities, challenges, ethics

Abstract

Artificial intelligence (AI) are becoming more frequently used in educational contexts (Wang et al., 2024), and school counsellors are starting to explore its use in their professional practice. This rapid review article explores the literature on the use of AI in school counselling, with a focus on generative AI. Thematic categories identified include the opportunities AI presents in school counselling; the ethical challenges associated with AI use in school counselling; and the role of AI in addressing gaps in school counselling practice. These themes emerge independently and collectively as key considerations for school counsellors who are considering or using AI in their practice. This rapid review’s findings will guide future practice, training, and education on the use of AI in school counselling. Directions for future research are proposed.

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Author Biography

Meegan Brown, Queensland University of Technology

Meegan Brown AFHEA (Indigenous) is a senior lecturer and the Study Area Co-ordinator of the Master of Education School Guidance and Counselling at QUT. Her research and teaching interests include trauma-aware schooling, rural and remote education, educators experiences of working with students living with the effects of trauma, and School Guidance and Counselling. Meegan is also a member of QUT's Centre for Child and Family Studies

References

Arksey, H., & O'malley, L. (2005). Scoping studies: towards a methodological framework. International journal of social research methodology, 8(1), 19-32. DOI: https://doi.org/10.1080/1364557032000119616

Bidmead, E., El Zerbi, C., Cheetham, M., & Frost, S. (2023). A rapid review of children and young people's views of poverty and welfare in the context of Universal Credit. Children & Society, 37(6), 2047-2065. https://doi.org/https://doi.org/10.1111/chso.12728 DOI: https://doi.org/10.1111/chso.12728

Brown, M., Bowyer, J., & Walsh, K. (2024). School counsellors’ reporting child maltreatment: A rapid review of empirical evidence. Journal of Psychologists and Counsellors in Schools, 34(3), 285-305. https://doi.org/10.1177/20556365241262552 DOI: https://doi.org/10.1177/20556365241262552

Campbell, M., & Colmar, S. (2014). Current Status and Future Trends of School Counseling in Australia. Journal of Asia Pacific Counseling, 4, 181-197. https://doi.org/10.18401/2014.4.2.9 DOI: https://doi.org/10.18401/2014.4.2.9

Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. Ieee Access, 8, 75264-75278. DOI: https://doi.org/10.1109/ACCESS.2020.2988510

Cirkony, C., Rickinson, M., Walsh, L., Gleeson, J., Salisbury, M., & Cutler, B. (2022). Reflections on conducting rapid reviews of educational research. Educational Research, 64(4), 371-390. https://doi.org/10.1080/00131881.2022.2120514 DOI: https://doi.org/10.1080/00131881.2022.2120514

Elbanna, S., & Armstrong, L. (2024). Exploring the integration of ChatGPT in education: adapting for the future. Management & Sustainability: An Arab Review, 3(1), 16-29. https://doi.org/10.1108/MSAR-03-2023-0016 DOI: https://doi.org/10.1108/MSAR-03-2023-0016

*Ganaprakasam, C., Chanthiran, M., & Hashim, H. (2024). Integrating AI into Malaysian School Counselling: A Study on Opportunities, Challenges, and Ethics. Journal of Contemporary Issues and Thought, 14(2), 1-8. DOI: https://doi.org/10.37134/jcit.vol14.2.1.2024

Haenlein, M., & Kaplan, A. (2019). A Brief History of Artificial Intelligence: On the Past, Present, and Future of Artificial Intelligence. California Management Review, 61, 000812561986492. https://doi.org/10.1177/0008125619864925 DOI: https://doi.org/10.1177/0008125619864925

Kazi, M., Chowdhury, N., Chowdhury, M., & Turin, T. (2021). Conducting a rapid review for quick turnaround knowledge synthesis. Health and Primary Care, 5, 2021. https://doi.org/10.15761/HPC.1000213 DOI: https://doi.org/10.15761/HPC.1000213

*Krach, S. K., & Corcoran, S. (2023). Will Computers Replace School Psychologists? An Analysis of Tech-Based Tools for Assessment, Consultation, and Counseling. Contemporary school psychology. https://doi.org/10.1007/s40688-023-00455-7 DOI: https://doi.org/10.1007/s40688-023-00455-7

Krach, S. K., McCreery, M. P., Dennis, L., Guerard, J., & Harris, E. L. (2020). Independent evaluation of Q‐Interactive: A paper equivalency comparison using the PPVT‐4 with preschoolers. Psychology in the schools, 57(1), 17-30. https://doi.org/10.1002/pits.22325 DOI: https://doi.org/10.1002/pits.22325

Lo, C. K. (2023). What is the impact of ChatGPT on education? A rapid review of the literature. Education Sciences, 13(4), 410. DOI: https://doi.org/10.3390/educsci13040410

*Majjate, H., Bellarhmouch, Y., Jeghal, A., Yahyaouy, A., Tairi, H., & Khalid Alaoui, Z. (2024). AI-Powered Academic Guidance and Counseling System Based on Student Profile and Interests. Applied System Innovation, 7(1), 6. https://doi.org/https://doi.org/10.3390/asi7010006 DOI: https://doi.org/10.3390/asi7010006

*Oyebisi, O. M., Anyama, S. C., & Ahimie, B. (2024). Enhancing student support: Eploring the potential of artificial intelligence in school counselling and guidance services. Al-Hikmah Journal of Education 11(1).

Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., & Brennan, S. E. (2021). The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. bmj, 372. DOI: https://doi.org/10.1136/bmj.n71

Queensland Guidance Counsellor's Association. (2023) Code of Ethics. https://qgca.org.au/aboutqgca/code-of-ethics/#role

*Su, S. W., Hung, C. H., Chen, L. X., & Yuan, S. M. (2024). Development of an AI-Based System to Enhance School Counseling Models for Asian Elementary Students With Emotional Disorders. Ieee Access, 12, 159121-159136. https://doi.org/10.1109/ACCESS.2024.3483456 DOI: https://doi.org/10.1109/ACCESS.2024.3483456

Tang, K.-S., Cooper, G., & Nielsen, W. (2024). Philosophical, Legal, Ethical, and Practical Considerations in the Emerging Use of Generative AI in Academic Journals: Guidelines for Research in Science Education (RISE). Research in Science Education, 54(5), 797-807. https://doi.org/10.1007/s11165-024-10192-3 DOI: https://doi.org/10.1007/s11165-024-10192-3

Tricco, A. C., Antony, J., Zarin, W., Strifler, L., Ghassemi, M., Ivory, J., Perrier, L., Hutton, B., Moher, D., & Straus, S. E. (2015). A scoping review of rapid review methods. BMC medicine, 13, 1-15. DOI: https://doi.org/10.1186/s12916-015-0465-6

Wang, S., Wang, F., Zhu, Z., Wang, J., Tran, T., & Du, Z. (2024). Artificial intelligence in education: A systematic literature review. Expert Systems with Applications, 252, 124167. https://doi.org/https://doi.org/10.1016/j.eswa.2024.124167 DOI: https://doi.org/10.1016/j.eswa.2024.124167

Wollscheid, S., & Tripney, J. (2021). Rapid Reviews as an Emerging Approach to Evidence Synthesis in Education. London Review of Education, 19(1), n1. DOI: https://doi.org/10.14324/LRE.19.1.32