Designing an AI-Driven Career Guidance Framework in South African Higher Education: A User-Centric Approach
Keywords:
Artificial Intelligence; Career Guidance Framework; User-Centred Design; Career GuidanceAbstract
The integration of Artificial Intelligence (AI) into career guidance systems presents a valuable opportunity to address the structural, informational, and psychological barriers that hinder effective decision-making for university students. This study outlines the development and implementation of a user-centred, AI-driven career guidance framework tailored for South African higher education institutions. Grounded in behavioural theory, particularly Social Cognitive Career Theory (SCCT), the framework was crafted using a qualitative research approach that incorporated insights from students’ focus group discussions and semi-structured interviews with lecturers. Findings show that students value personalised, context-sensitive guidance features, particularly those that link academic achievements to job market trends. Educators emphasised the need for system transparency, data security, and fair access to build trust and promote adoption. Results indicate AI-powered tools can boost students' confidence and career self-efficacy when integrated into academic support frameworks. The study highlights key contextual factors influencing career decision-making, such as the availability of reliable information, self-efficacy, the perceived usefulness of AI tools, and the digital readiness of institutions. The framework integrates machine learning profiling, personalised recommendations, and feedback loops, addresses inequalities, aligns education with labour-market needs, and helps students make career decisions. The evaluation findings show that stakeholders essentially embrace AI-powered guidance tools, though ongoing concerns include data privacy, confidence in the recommendations, and ensuring equal access. This paper offers a practical and theoretically informed model for career development interventions in developing contexts, serving as a blueprint for inclusive, scalable, and adaptable AI solutions in higher education.
https://doi.org/10.26803/ijlter.24.12.16
References
Abbasi, A., Parsons, J., Pant, G., Sheng, O. R. L., & Sarker, S. (2024). Pathways for Design Research on Artificial Intelligence. Information Systems Research, 35(2), 441–459. https://doi.org/10.1287/isre.2024.editorial.v35.n2
Ackerman, P. L., & Beier, M. E. (2003). Intelligence, Personality, and Interests in the Career Choice Process. Journal of Career Assessment, 11(2), 205–218. https://doi.org/10.1177/0095399702250433
Ahmadian Yazdi, H., Seyyed Mahdavi, S. J., & Ahmadian Yazdi, H. (2024). Dynamic educational recommender system based on Improved LSTM neural network. Scientific Reports, 14(1). https://doi.org/10.1038/s41598-024-54729-y
Alimam, M. A., Seghiouer, H., & Elyusufi, Y. (2014). Building profiles based on ontology for career recommendation in E-Ieaming context. International Conference on Multimedia Computing and Systems -Proceedings, 558–562. https://doi.org/10.1109/ICMCS.2014.6911346
Amitha Peiris, K. D., & Gan, I. (2013). A recommender systems approach to optimising career pathways development planning for youth in emerging knowledge economies. 2013 International Conference on Advances in ICT for Emerging Regions (ICTer), 98–103. https://doi.org/10.1109/ICTer.2013.6761162
Ampo, W. M. G., Ayuban, A. R., Avellaneda, S. L. A., & Go, D. T. (2025). Exploring Teachers’ Lived Experiences in Integrating ChatGPT in Classroom Practices. International Journal of Education and Emerging Practices, 1(1), 17–28. https://doi.org/10.63236/injeep.1.1.2
Ardeleanu, M. E., & Stanescu, D. G. (2016). A New Research Concerning Some Influence Factors in the Orientation of Highschool Graduates Towards Higher Technical Education. 2016 International Symposium on Fundamentals of Electrical Engineering, ISFEE 2016.
Arulmani, G. (2024). Contexts and Circumstances: The Cultural Preparedness Approach to Career Development. In M. McMahon & P. Abkhezr (Eds.), Narrative Career Counselling (3rd ed.). Routledge. https://doi.org/10.4324/9781003441724
Bahalkar, P., Patil, D. Y., Society, V. P., Peddi, P., & Jain, S. (2024). AI-Driven Career Guidance System: A Predictive Model for Student Subject Recommendations Based on Academic Performance and Aspirations. Frontiers in Health Informatics, 13(3), 8216–8218. https://www.researchgate.net/publication/388026845
Bandura, A. (2006). Guide for constructing self-efficacy scales. Self-efficacy beliefs of adolescents (1st ed., Vol. 5). https://books.google.co.za/books?hl=en&lr=&id=P_onDwAAQBAJ&oi=fnd&pg=PA307&dq=Bandura,+A.+(2006).+Guide+for+constructing+self-efficacy+scales.+Self-efficacy+beliefs+of+adolescents+(1st+ed.,+Vol.+5).&ots=rkNKw3DfxN&sig=9zbRgeiI0I3oRERL-7P0pKGOxr4#v=onepage&q&f=false
Bankins, S., Jooss, S., Restubog, S. L. D., Marrone, M., Ocampo, A. C., & Shoss, M. (2024). Navigating career stages in the age of artificial intelligence: A systematic interdisciplinary review and agenda for future research. Journal of Vocational Behavior, 153. https://doi.org/10.1016/j.jvb.2024.104011
Bannon, L. (2011). Reimagining HCI. Interactions, 18(4), 50–57. https://doi.org/10.1145/1978822.1978833
Batisai, K., Makhafola, K. P., & Maoba, P. (2022). Rethinking inclusion in higher education: Lessons for the South African academic space. South African Journal of Higher Education, 36(6). https://doi.org/10.20853/36-6-4758
Bhumichitr, K., Channarukul, S., Saejiem, N., Jiamthapthaksin, R., & Nongpong, K. (2017). Recommender Systems for university elective course recommendation. 2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE), 1–5. https://doi.org/10.1109/JCSSE.2017.8025933
Binns, R. (2018). Fairness in Machine Learning: Lessons from Political Philosophy. Proceedings of the 1st Conference on Fairness, Accountability and Transparency, PMLR, 149–159. https://proceedings.mlr.press/v81/binns18a/binns18a.pdf
Bloxom, J. M., Bernes, K. B., Magnusson, K. C., Gunn, T. T., Bardick, A. D., Orr, D. T., & McKnight, K. M. (2008). Grade 12 Student Career Needs and Perceptions of the Effectiveness of Career Development Services. Canadian Journal of Counselling and Psychotherapy, 42(2). https://files.eric.ed.gov/fulltext/EJ796324.pdf
Brown, A., Sieben, N., & Gordon, Z. (2019). Interest in teaching, coaching, and careers in education: A survey of university student-athletes. Teaching and Teacher Education, 83, 168–177. https://doi.org/10.1016/j.tate.2019.03.003
Buthelezi, T., Alexander, D., & Seabi, J. (2009). Adolescents’ perceived career challenges and needs in a disadvantaged context in South Africa from a social cognitive career theoretical perspective. South African Journal of Higher Education, 23(3). https://doi.org/10.4314/sajhe.v23i3.51033
Cappelli, P. H. (2015). Skill Gaps, Skill Shortages, and Skill Mismatches. ILR Review, 68(2), 251–290. https://doi.org/10.1177/0019793914564961
Chaohua, F., & Zaifeng, Y. (2024). Recurrent Neural Network Research on a Flipped Classroom Online Collaborative Teaching Platform. Journal of Electrical Systems, 20(5s), 271–281. https://doi.org/10.52783/jes.1945
Chiramba, O., & Ndofirepi, E. S. (2023). Access and success in higher education: Disadvantaged students’ lived experiences beyond funding hurdles at a Metropolitan South African university. South African Journal of Higher Education, 37(6). https://doi.org/10.20853/37-6-6021
Czerniewicz, L. (2018). Inequality as Higher Education Goes Online. In Networked Learning (pp. 95–106). Springer International Publishing. https://doi.org/10.1007/978-3-319-74857-3_6
Dabula, P., & Makura, A. H. (2013). High School Students’ Perceptions of Career Guidance and Development Programmes for University Access. International Journal of Educational Sciences, 5(2). https://www.researchgate.net/publication/321207295_High_School_Students'_Perceptions_of_Career_Guidance_and_Development_Programmes_for_University_Access
Dassah, D. J. (2021). Roles of Stakeholders in the Impact of Guidance and Counselling in Senior High Schools in the Upper West Region of Ghana. The International Journal of Humanities & Social Studies, 9(12). https://doi.org/10.24940/theijhss/2021/v9/i12/HS2112-005
Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319. https://doi.org/10.2307/249008
DHET, D. (2019). National framework for career development in South Africa. Pretoria: Department of Higher Education and Training. https://www.dhet.gov.za
DHET, D. (2021). Statistics on Post-School Education and Training in South Africa: 2021. In Department Higher Education and Training (South Africa).
Donald, W. E., Ashleigh, M. J., & Baruch, Y. (2018). Students’ perceptions of education and employability. Career Development International, 23(5), 513–540. https://doi.org/10.1108/CDI-09-2017-0171
Dutta, I., Shah, A., Safa, M., & Jayavel, K. (2022). Building a Recommendation System for Career Advice for Students from Professionals. 2022 International Conference on Computer Communication and Informatics, ICCCI 2022. https://doi.org/10.1109/ICCCI54379.2022.9740837
Dwivedi, S., & Roshni, K. (2017). Recommender System for Big Data in Education. 2017 5th National Conference on E-Learning & E-Learning Technologies (ELELTECH). https://doi.org/10.1109/ELELTECH.2017.8074993
Farao, A., & du Plessis, M. (2024). The need for structured career guidance in a resource-constrained South African school. African Journal of Career Development, 6(1). https://doi.org/10.4102/ajcd.v6i1.116
Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., Luetge, C., Madelin, R., Pagallo, U., Rossi, F., Schafer, B., Valcke, P., & Vayena, E. (2018). AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations. Minds and Machines, 28(4), 689–707. https://doi.org/10.1007/s11023-018-9482-5
Fraske, T. (2022). Industry 4.0 and its geographies: A systematic literature review and the identification of new research avenues. Digital Geography and Society, 3, 100031. https://doi.org/10.1016/j.diggeo.2022.100031
Gati, I., & Kulcsár, V. (2021). Making better career decisions: From challenges to opportunities. Journal of Vocational Behavior, 126. https://doi.org/10.1016/j.jvb.2021.103545
Goga, M., Kuyoro, S., & Goga, N. (2015). A Recommender for Improving the Student Academic Performance. Procedia - Social and Behavioral Sciences, 180, 1481–1488. https://doi.org/10.1016/j.sbspro.2015.02.296
Goyal, P., Minz, N., & Sha, A. (2023). Chatbots and Virtual Assistants in Education: Enhancing Student Support and Engagement. In Education Unleashed: AI Era (1st ed.). https://www.researchgate.net/publication/377188367
Hatane, S. E., Setiono, F. J., Setiawan, F. F., Semuel, H., & Mangoting, Y. (2020). Learning environment, students’ attitude and intention to enhance current knowledge in the context of choosing accounting career. Journal of Applied Research in Higher Education, 13(1), 79–97. https://doi.org/10.1108/JARHE-06-2019-0156
Hollanek, T. (2023). AI transparency: a matter of reconciling design with critique. AI & SOCIETY, 38(5), 2071–2079. https://doi.org/10.1007/s00146-020-01110-y
Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial Intelligence In Education Promises and Implications for Teaching and Learning. In Artificial Intelligence in Education (pp. 1–18). http://bit.ly/AIED-
Hui, E. K. P., & Tsang, S. K. M. (2012). Self-Determination as a Psychological and Positive Youth Development Construct. The Scientific World Journal, 2012, 1–7. https://doi.org/10.1100/2012/759358
Jackson, D. (2015). Career choice status among undergraduates and the influence of work-integrated learning. Australian Journal of Career Development, 24(1), 3–14. https://doi.org/10.1177/1038416215570043
Kahraman, Z. E. H. (2010). Using user-centered design approach in course design. Procedia - Social and Behavioral Sciences, 2(2), 2071–2076. https://doi.org/10.1016/j.sbspro.2010.03.283
Kamal, N., Sarker, F., Rahman, A., Hossain, S., & Mamun, K. A. (2024). Recommender System in Academic Choices of Higher Education: A Systematic Review. IEEE Access, 12, 35475–35501. https://doi.org/10.1109/ACCESS.2024.3368058
Khurumova, V., & Pinto, J. C. (2024). Career services at HEI’s: what are they offering? Frontiers in Education, 9. https://doi.org/10.3389/feduc.2024.1410628
Lam, M., & Santos, A. (2018). The Impact of a College Career Intervention Program on Career Decision Self-Efficacy, Career Indecision, and Decision-Making Difficulties. Journal of Career Assessment, 26(3), 425–444. https://doi.org/10.1177/1069072717714539
Lent, R. W., & Hackett, G. (1994). Sociocognitive mechanisms of personal agency in career development. Pantheoretical prospects.
Levin, N., Braunstein-Bercovitz, H., Lipshits-Braziler, Y., Gati, I., & Rossier, J. (2020). Testing the structure of the Career Decision-Making Difficulties Questionnaire across country, gender, age, and decision status. Journal of Vocational Behavior, 116. https://doi.org/10.1016/j.jvb.2019.103365
Li, S., & Li, D. (2025). Research on Personalized Learning Recommendation System based on Machine Learning Algorithm. Scalable Computing: Practice and Experience, 26(1), 432–440. https://doi.org/10.12694/scpe.v26i1.3844
Lin, J., Pu, H., Li, Y., & Lian, J. (2018). Intelligent Recommendation System for Course Selection in Smart Education. Procedia Computer Science, 129, 449–453. https://doi.org/10.1016/j.procs.2018.03.023
Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence Unleashed: An Argument for AI in Education. Https://Static.Googleusercontent.Com/Media/Edu.Google.Com/En//Pdfs/Intelligence-Unleashed-Publication.Pdf.
Mabidi, N. (2024). A systematic review of the transformative impact of the digital revolution on higher education in South Africa. South African Journal of Higher Education, 38(3), 97–113. https://doi.org/10.20853/38-3-6366
Madadipouya, K., & Chelliah, S. (2017). A Literature Review on Recommender Systems Algorithms, Techniques and Evaluations. https://brain.edusoft.ro/index.php/brain/article/download/693/771
Maduwanthi, M. N., & Priyashantha, K. G. (2020). Effect of gender and location on career indecision among management undergraduates in Sri Lankan state universities. 4th CIPM Research Symposium. https://www.researchgate.net/publication/345179626_Effect_of_Gender_and_Location_on_Career_Indecision_among_Management_Undergraduates_in_Sri_Lankan_State_Universities
Marcionetti, J., & Rossier, J. (2017). The Mediating Impact of Parental Support on the Relationship Between Personality and Career Indecision in Adolescents. Journal of Career Assessment, 25(4), 601–615. https://doi.org/10.1177/1069072716652890
Maree, J. G., & Magere, G. M. (2023). The influence of group career construction counselling on Tanzanian high school students’ career decision-making difficulties. International Journal of Adolescence and Youth, 28(1). https://doi.org/10.1080/02673843.2023.2190809
Maringe, F., & Chiramba, O. (2022). Disruptions in higher education: Mitigating issues of access and success in the COVID-19 pandemic. South African Journal of Higher Education, 36(4), 6–20. https://doi.org/10.20853/36-4-5382
Mateko, F. M., Dowelani, M., & Sinamano, R. (2025). Digital Inequality and Transformation in South African Higher Education During COVID-19: A Comparative Analysis of Historically Disadvantaged and Historically Advantaged Universities. Higher Education Policy. https://doi.org/10.1057/s41307-025-00416-0
Maulana, A., Fenitra, R. M., Sutrisno, S., & Kurniawan. (2025). Artificial intelligence, job seeker, and career trajectory: How AI-based learning experiences affect commitment of fresh graduates to be an accountant? Computers and Education: Artificial Intelligence, 8, 100413. https://doi.org/10.1016/j.caeai.2025.100413
Mavuso, N., Jere, N., & Van Greunen, D. (2023). A Systematic Review of Customised Career Recommender Systems for South Africa. 2023 2nd Zimbabwe Conference of Information and Communication Technologies (ZCICT), 1–7. https://doi.org/10.1109/ZCICT59466.2023.10528488
McAdams, D. P., & Cox, K. S. (2010). Self and Identity across the Life Span. In The Handbook of Life?Span Development. Wiley. https://doi.org/10.1002/9780470880166.hlsd002006
Miles, J., & Naidoo, A. V. (2017). The impact of a career intervention programme on South African Grade 11 learners’ career decision-making self-efficacy. South African Journal of Psychology, 47(2), 209–221. https://doi.org/10.1177/0081246316654804
Mudhovozi, P., & Chireshe, R. (2012). Socio-demographic Factors Influencing Career Decision-making among Undergraduate Psychology Students in South Africa. Journal of Social Sciences, 31(2), 167–176. https://doi.org/10.1080/09718923.2012.11893025
Murad, D. F., Heryadi, Y., Wijanarko, B. D., Isa, S. M., & Budiharto, W. (2018). Recommendation System for Smart LMS Using Machine Learning: A Literature Review. 2018 International Conference on Computing, Engineering, and Design (ICCED), 113–118. https://doi.org/10.1109/ICCED.2018.00031
Murniarti, E. (2019). Millennials’ Career Decision-Making Difficulties (CDMD) in Indonesian University Students. Advances in Social Sciences Research Journal, 6(9), 268–276. https://doi.org/10.14738/assrj.69.7079
Natividad, M. C. B., Gerardo, B. D., & Medina, R. P. (2019). A career track recommender system for senior high school students using fuzzy logic. International Journal of Advanced Trends in Computer Science and Engineering, 8(5), 2512–2519. https://doi.org/10.30534/ijatcse/2019/97852019
Nie, M., Xiong, Z., Zhong, R., Deng, W., & Yang, G. (2020). Career choice prediction based on campus big data-mining the potential behavior of college students. Applied Sciences (Switzerland), 10(8). https://doi.org/10.3390/APP10082841
Nizamani, M. M., Qureshi, S., Tarashkar, M., Zhang, H.-L., Zhou, Q., & Lai, Z. (2025). Ethical AI: Human-centered approaches for adaptive and sustainable urban planning and policy. Land Use Policy, 157, 107650. https://doi.org/10.1016/j.landusepol.2025.107650
Norman, D. A. (1986). User Centered System Design New Perspectives on Human-computer Interaction (D. A. Norman, Ed.; 1st ed.). CRC Press. https://www.taylorfrancis.com/books/edit/10.1201/9780367807320/user-centered-system-design-donald-norman?context=ubx&refId=72601237-23b8-444c-b031-cf87abf790b3
Ocen, S., Elasu, J., Aarakit, S. M., & Olupot, C. (2025). Artificial intelligence in higher education institutions: review of innovations, opportunities and challenges. Frontiers in Education, 10. https://doi.org/10.3389/feduc.2025.1530247
Patel, B., Kakuste, V., & Eirinaki, M. (2017). CaPaR: A Career Path Recommendation Framework. 2017 IEEE Third International Conference on Big Data Computing Service and Applications (BigDataService), 23–30. https://doi.org/10.1109/BigDataService.2017.31
Pillay, A. L. (2020). Prioritising career guidance and development services in post-apartheid South Africa. African Journal of Career Development, 2(1), 1–5. https://doi.org/10.4102/ajcd
Priyashantha, K. G., De Alwis, A. C., & Welmilla, I. (2023). Gender stereotypes change outcomes: a systematic literature review. Journal of Humanities and Applied Social Sciences, 5(5), 450–466. https://doi.org/10.1108/JHASS-07-2021-0131
Priyashantha, K. G., Dahanayake, W. E., & Maduwanthi, M. N. (2023). Career indecision: a systematic literature review. Journal of Humanities and Applied Social Sciences, 5(2), 79–102. https://doi.org/10.1108/JHASS-06-2022-0083
Razak, T. R., Hashim, M. A., Noor, N. M., Halim, I. H. A., & Shamsul, N. F. F. (2014). Career path recommendation system for UiTM Perlis students using fuzzy logic. 2014 5th International Conference on Intelligent and Advanced Systems: Technological Convergence for Sustainable Future, ICIAS 2014 - Proceedings. https://doi.org/10.1109/ICIAS.2014.6869553
Robert, L. P., Bansal, G., & Lu?tge, C. (2020). ICIS 2019 SIGHCI Workshop Panel Report: Human– Computer Interaction Challenges and Opportunities for Fair, Trustworthy and Ethical Artificial Intelligence. AIS Transactions on Human-Computer Interaction, 12(2), 96–108. https://doi.org/10.17705/1thci.00130
Saeed, T., Sufian, M., Ali, M., & Rehman, A. U. (2021). Convolutional Neural Network Based Career Recommender System for Pakistani Engineering Students. 4th International Conference on Innovative Computing, ICIC 2021. https://doi.org/10.1109/ICIC53490.2021.9715788
Samuel, O. M., Magwagwa, S., & Mazingi, A. (2019). Strategic career development of black engineering graduates in South Africa: the workplace experiential approach. Higher Education, Skills and Work-Based Learning, 10(1), 32–48. https://doi.org/10.1108/HESWBL-02-2019-0030
Schmager, S., Pappas, I. O., & Vassilakopoulou, P. (2025). Understanding Human-Centred AI: a review of its defining elements and a research agenda. Behaviour & Information Technology, 1–40. https://doi.org/10.1080/0144929X.2024.2448719
Shaikym, A., Zhalgassova, Z., & Sadyk, U. (2023). Design and Evaluation of a Personalized Job Recommendation System for Computer Science Students Using Hybrid Approach. Proceedings - 2023 17th International Conference on Electronics Computer and Computation, ICECCO 2023. https://doi.org/10.1109/ICECCO58239.2023.10147147
Shneiderman, B. (1987). Designing the user interface: Strategies for effective human-computer interaction. Addison-Wesley, Inc. http://seu1.org/files/level5/IT201/Book%20-%20Ben%20Shneiderman-Designing%20the%20User%20Interface-4th%20Edition.pdf
Shneiderman, B. (2020). Human-Centered Artificial Intelligence: Three Fresh Ideas. AIS Transactions on Human-Computer Interaction, 109–124. https://doi.org/10.17705/1thci.00131
Shyle, I. (2020). The Role of the Higher Education Institutions in the Career Development of Albanian Students. Universal Journal of Educational Research, 8(5), 2117–2122. https://doi.org/10.13189/ujer.2020.080550
Sokhulu, L. H., Zulu, M. W., & Lott-Naidoo, D. (2025). Artificial intelligence in higher education South Africa: The role of ChatGPT in students’ learning. Journal of Education, 99, 142–166. https://doi.org/10.17159/2520-9868/i99a08
Sophia, G., & Onen, D. (2024). Curriculum Alignment and Graduate Employability: A Comprehensive Exploration at Makerere University. East African Journal of Education Studies, 7(4), 712–727. https://doi.org/10.37284/eajes.7.4.2464
Subramanian, E. K., & Ramachandran. (2019). Student Career Guidance System for Recommendation of Relevant Course Selection. International Journal of Recent Technology and Engineering (IJRTE), 7(6S4), 493–496. https://doi.org/10.1016/j.procs.2010.08.006
Srinivasan, D., Uthayakumar, A., Thiyagalingam, P., Ravindran, S., De Silva, H., & Kasthururarthna, D. (2022). Escort - Natural Language Processing Based University Students Guidance System. 7th International Conference on Information Technology Research: Digital Resilience and Reinvention, ICITR 2022 - Proceedings. https://doi.org/10.1109/ICITR57877.2022.9992860
Tinto, V. (2017). Through the Eyes of Students. Journal of College Student Retention: Research, Theory & Practice, 19(3), 254–269. https://doi.org/10.1177/1521025115621917
Twetwa-Dube, S., Mavuso, N., & Oki, O. (2025). Navigating digital inequality in African higher education: Challenges and charting a path forward. In N. Jere, G. Mwansa, M. Ranga, A. Gamundani, & P. Maoneke (Eds.), Digital inequality in a developing context: A multifaceted approach. AVARSITY Books. https://doi.org/10.4102/aosis.2025.BK494
Wang, Y., Liu, C., & Tu, Y. F. (2021). Factors Affecting the Adoption of AI-Based Applications in Higher Education: An Analysis of Teachers Perspectives Using Structural Equation Modeling. Educational Technology & Society, 24(3), 116–129. https://www.jstor.org/stable/27032860
Watanabe-Muraoka, A. M., Takeshi Senzaki, T.-A., & Herr, E. L. (2001). Donald Super’s Contribution to Career Guidance and Counselling in Japan. International Journal for Educational and Vocational Guidance, 1(1/2), 99–106. https://doi.org/10.1023/A:1016924915340
Watson, S., & Struwig, M. (2024). Re-Imagining Teaching and Learning at South African Higher Education Institutions in the Digital Landscape. International Conference on Education Research, 1(1), 313–321. https://doi.org/10.34190/icer.1.1.3145
Zhang, Y. (2024). Path of career planning and employment strategy based on deep learning in the information age. PLOS ONE, 19(10), e0308654. https://doi.org/10.1371/journal.pone.0308654
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