Trends in Guidance and Counseling Technology Research: A Bibliometric Analysis of Publications in the Scopus Database

Authors

  • Mohamad Saripudin Universitas Negeri Jakarta
  • Rike Ulandari Universitas Negeri Jakarta
  • Desriani Rahmania Universitas Negeri Jakarta

DOI:

https://doi.org/10.17977/um065.v5.i4.2025.8

Keywords:

Bibliometrics, Biblioshiny, Guidance and counseling technology, R Studio, Scopus database

Abstract

The development of technology affects guidance and counseling services. Various technologies are used to facilitate access to practical guidance and counseling services. The primary purpose of this article is to determine research trends on the topic of technology in guidance and counseling. The method used in this study is Bibliometric Analysis with the help of R Studio Bibliosiny software. Bibliometric analysis is carried out in three steps: 1) determining the objectives and research questions; 2) developing research design; and 3) analyzing results and interpretations. This Bibliometric analysis uses the Scopus database. The research findings show: 1) Performance analysis shows that the development of technology research in guidance and counseling during 1959-2025 has increased in terms of quantity with an Annual Growth Rate of 7.06% and Productivity per active year of publication of 30.03; 2) Kraut et al.’s publication in 1998 regarding the Internet paradox became the most influential publication. Then, the Journal of Substance Abuse Treatment became the most impactful journal on the topic of guidance and counseling technology; 3) The United States became the most productive country publishing articles related to technology in guidance and counseling. Naslud Ja is the most active author collaborating with other authors; 4) Over the past five years, the most widely studied topics are therapy, exercise, machine learning, artificial intelligence, and drug therapy. Overall, it can be concluded that there is an increase in the number of publications, research trends, and interest in guidance and counseling technology research. Researchers in the field of guidance and counseling who are interested in publishing their work in the Scopus database or Scopus-indexed journals can focus their research on keywords that have emerged over the past five years.

References

American Counseling Association. (2024). Further recommendations regarding the future of AI in counseling. https://www.counseling.org/resources/research-reports/artificial-intelligence-counseling/further-recommendations

Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975. https://doi.org/10.1016/j.joi.2017.08.007

Ashari, M. K., Athoillah, S., & Faizin, M. (2023). Model E-Asesmen berbasis aplikasi pada sekolah menengah atas di era digital: Systematic literature review. TA’DIBUNA: Jurnal Pendidikan Agama Islam, 6(2), 132–150.

Baas, J., Schotten, M., Plume, A., Côté, G., & Karimi, R. (2020). Scopus is a curated, high-quality bibliometric data source for academic research in quantitative science studies. Quantitative Science Studies, 1(1), 377–386. https://doi.org/10.1162/qss_a_00019

Baker, K. D., & Ray, M. (2011). Online counseling: The good, the bad, and the possibilities. Counselling Psychology Quarterly, 24(4), 341–346. https://doi.org/10.1080/09515070.2011.632875

Baker, K., Kumar, S., & Pandey, N. (2020). A bibliometric analysis of managerial finance: A retrospective. Managerial Finance, 46(11), 1495–1517. https://doi.org/10.1108/MF-06-2019-0277

Bar-Ilan, J. (2008). Which h-index? A comparison of WoS, Scopus and Google Scholar. Scientometrics, 74(2), 257–271. https://doi.org/10.1007/s11192-008-0216-y

Beatty, C., Malik, T., Meheli, S., & Sinha, C. (2022). Evaluating the therapeutic alliance with a free-text CBT conversational agent (Wysa): A mixed-methods study. Frontiers in Digital Health, 4, 847991.

Best, P., Manktelow, R., & Taylor, B. (2014). Online communication, social media and adolescent wellbeing: A systematic narrative review. Children and Youth Services Review, 41, 27–36. https://doi.org/10.1016/j.childyouth.2014.03.001

Birnholtz, J. P. (2006). What does it mean to be an author? The intersection of credit, contribution, and collaboration in science. Journal of the American Society for Information Science and Technology, 57(13), 1758–1770. https://doi.org/10.1002/asi.20380

Delmonico, D. L., Daninhirsch, C., Page, B., Walsh, J., L’Amoreaux, N. A., & Thompson, R. S. (2000). The Palace: Participant responses to a virtual support group. Journal of Technology in Counseling, 1(2), n2.

Donthu, N., Gremler, D. D., Kumar, S., & Pattnaik, D. (2020). Mapping of Journal of Service Research themes: A 22-year review. Journal of Service Research, 25(2), 187–193. https://doi.org/10.1177/1094670520977672

Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285–296. https://doi.org/10.1016/j.jbusres.2021.04.070

Dvorak, J. (1989). Publications experience as a predictor of college success. Journalism Quarterly, 66(3), 702–706. https://doi.org/10.1177/107769908906600325

Elhai, J. D., Levine, J. C., Dvorak, R. D., & Hall, B. J. (2017). Non-social features of smartphone use are most related to depression, anxiety, and problematic smartphone use. Computers in Human Behavior, 69, 75–82. https://doi.org/10.1016/j.chb.2016.12.023

Freeman, D., Reeve, S., Robinson, A., Ehlers, A., Clark, D., Spanlang, B., & Slater, M. (2017). Virtual reality in the assessment, understanding, and treatment of mental health disorders. Psychological Medicine, 47(14), 2393–2400. https://doi.org/10.1017/S003329171700040X

Fulmer, R., Joerin, A., Gentile, B., Lakerink, L., & Rauws, M. (2018). Using psychological artificial intelligence (Tess) to relieve symptoms of depression and anxiety: Randomized controlled trial. JMIR Mental Health, 5(4), e64. https://doi.org/10.2196/mental.9782

González-Pereira, B., Guerrero-Bote, V. P., & Moya-Anegón, F. (2010). A new approach to the metric of journals’ scientific prestige: The SJR indicator. Journal of Informetrics, 4(3), 379–391. https://doi.org/10.1016/j.joi.2010.03.002

Gustini, N., Ibrahim, T., & Pratama, W. E. (2022). Hubungan manajemen konseling online dan kompetensi teknologi informasi dan komunikasi guru bimbingan konseling. Jurnal Isema: Islamic Educational Management, 7(2), 173–184. https://doi.org/10.15575/isema.v7i2.14599

Hapipi, M., Ahmad, K. R., & Amir, L. S. (2024). Implementation of technology in cross-cultural counseling process: Challenges and opportunities. International Journal of Multicultural Counseling and Development, 1(1), 10–22.

Hartanto, A., Kasturiratna, K. T. A. S., Kothari, M., Goh, A. Y. H., Quek, F. Y. X., & Majeed, N. M. (2025). Investigating the effect of full and partial social media abstinence on fear of missing out and well-being outcomes: A daily diary experimental approach. Psychology of Popular Media. https://doi.org/10.1037/ppm0000583

Hirsch, J. E. (2007). Does the h index have predictive power? Proceedings of the National Academy of Sciences, 104(49), 19193–19198. https://doi.org/10.1073/pnas.0707962104

Horesh, D., & Brown, A. D. (2020). Traumatic stress in the age of COVID-19: A call to close critical gaps and adapt to new realities. Psychological Trauma: Theory, Research, Practice, and Policy, 12(4), 331–335. https://doi.org/10.1037/tra0000592

Jeong, D., Lee, H., Yang, H., Park, J. C., & Lee, S. M. (2025). AI integration in counseling training: Aiding counselors‐in‐training in self‐efficacy enhancement and anxiety reduction. Journal of Counseling & Development. Advance online publication. https://doi.org/10.1002/jcad.12560

Kang, J., Tsai, C., & Lee, S. M. (2025). Effects of technological issues on session evaluation in metaverse counseling: The role of psychological symptoms using HLM analysis. Journal of Counseling & Development, 103(2), 172–184. https://doi.org/10.1002/jcad.12548

Kraut, R., Patterson, M., Lundmark, V., Kiesler, S., Mukophadhyay, T., & Scherlis, W. (1998). Internet paradox: A social technology that reduces social involvement and psychological well-being? American Psychologist, 53(9), 1017–1031. https://doi.org/10.1037/0003-066X.53.9.1017

Lepp, A., Barkley, J. E., & Karpinski, A. C. (2014). The relationship between cell phone use, academic performance, anxiety, and satisfaction with life in college students. Computers in Human Behavior, 31, 343–350. https://doi.org/10.1016/j.chb.2013.10.049

Luxton, D. D., McCann, R. A., Bush, N. E., Mishkind, M. C., & Reger, G. M. (2011). mHealth for mental health: Integrating smartphone technology in behavioral healthcare. Professional Psychology: Research and Practice, 42(6), 505–512. https://doi.org/10.1037/a0024485

Ma, L., Zhao, T., Qiu, H., & Lan, Z. (2024). No general code of ethics for all: Ethical considerations in human-bot psycho-counseling. arXiv preprint arXiv:2404.14070.

Mestre-Bach, G., Paiva, U., San Martín Iniguez, L., Beranuy, M., Martín-Vivar, M., Mallorquí-Bagué, N., Normand, E., Contreras Chicote, M., Potenza, M. N., & Arrondo, G. (2025). The association between internet-use-disorder symptoms and loneliness: A systematic review and meta-analysis with a categorical approach. Psychological Medicine, 55, e77. https://doi.org/10.1017/S0033291725000376

Mohr, D. C., Zhang, M., & Schueller, S. M. (2017). Personal sensing: Understanding mental health using ubiquitous sensors and machine learning. Annual Review of Clinical Psychology, 13(1), 23–47. https://doi.org/10.1146/annurev-clinpsy-032816-044949

Muhammad, R. (2024). The effectiveness of technology to improve educational counseling services: A systematic literature review. Journal of Teaching and Learning, 18(2), 111–127. https://doi.org/10.22329/jtl.v18i2.8709

Nguyen, V. T., Kravets, A. G., & Duong, T. Q. H. (2021). Predicting research trends based on bibliometric analysis and paper ranking algorithm. In Proceedings (pp. 109–123). https://doi.org/10.1007/978-3-030-67892-0_10

Norris, M., & Oppenheim, C. (2010). The h‐index: A broad review of a new bibliometric indicator. Journal of Documentation, 66(5), 681–705. https://doi.org/10.1108/00220411011066790

Orben, A., & Przybylski, A. K. (2019). The association between adolescent well-being and digital technology use. Nature Human Behaviour, 3(2), 173–182. https://doi.org/10.1038/s41562-018-0506-1

Permatasari, Y., Suhaili, N., & Firman, F. (2021). Inovasi program layanan BK berbasis digital pada masa pandemi COVID-19. Jurnal Al-Taujih: Bingkai Bimbingan dan Konseling Islami, 7(1), 38–44.

Powell, K. R., & Peterson, S. R. (2017). Coverage and quality: A comparison of Web of Science and Scopus databases for reporting faculty nursing publication metrics. Nursing Outlook, 65(5), 572–578. https://doi.org/10.1016/j.outlook.2017.03.004

Price, M., Yuen, E. K., Goetter, E. M., Herbert, J. D., Forman, E. M., Acierno, R., & Ruggiero, K. J. (2014). mHealth: A mechanism to deliver more accessible, more effective mental health care. Clinical Psychology & Psychotherapy, 21(5), 427–436.

Radiani, W. A., & Fadilah, H. (2024). Cyberbullying and cyber counseling services. Jurnal EDUCATIO: Jurnal Pendidikan Indonesia, 10(2), 290–298.

Ravshanovna, K. L., & Abdi-Xafizovna, K. M. (2025). The role of modern digital technologies in education: Transforming learning environments and enhancing student outcomes. Modern Educational System and Innovative Teaching Solutions, 1(5), 160–165.

Rollwage, M., Habicht, J., Juechems, K., Carrington, B., Viswanathan, S., Stylianou, M., Hauser, T. U., & Harper, R. (2023). Using conversational AI to facilitate mental health assessments and improve clinical efficiency within psychotherapy services: Real-world observational study. JMIR AI, 2, e44358. https://doi.org/10.2196/44358

Scott, D. A., Valley, B., & Simecka, B. A. (2017). Mental health concerns in the digital age. International Journal of Mental Health and Addiction, 15(3), 604–613. https://doi.org/10.1007/s11469-016-9684-0

Setiawan, W. A. W., & Nabyla, F. (2022). Sistem informasi bimbingan konseling berbasis web menggunakan PHP dan MySQL di SMK Nurul Huda NU Paguyangan: Array. Jurnal Sistem Informasi dan Teknologi Peradaban, 3(1), 23–30.

Shatte, A. B. R., Hutchinson, D. M., & Teague, S. J. (2019). Machine learning in mental health: A scoping review of methods and applications. Psychological Medicine, 49(9), 1426–1448. https://doi.org/10.1017/S0033291719000151

Sinaga, W. M. B. B., & Firmansyah, A. (2024). Perubahan paradigma pendidikan di era digital. Jurnal Teknologi Pendidikan, 1(4), 10. https://doi.org/10.47134/jtp.v1i4.492

Stephens, T. N., Joerin, A., Rauws, M., & Werk, L. N. (2019). Feasibility of pediatric obesity and prediabetes treatment support through Tess, the AI behavioral coaching chatbot. Translational Behavioral Medicine, 9(3), 440–447.

Sudibyo, H. (2017). Peningkatan kemampuan menyusun program BK berbantuan aplikasi dengan metode kerja kelompok. Jurnal Penelitian Pendidikan Indonesia, 1(4).

Upadhyay, S., Chaskar, A., & Sigala, M. (2023). Breaking waves: A bibliometric odyssey on crisis communication in tourism and hospitality (1980–2022) and paving the path for future research. Journal of Contingencies and Crisis Management, 31(4), 941–953. https://doi.org/10.1111/1468-5973.12494

Urom, C., Grey, B., Lindinger‐Sternart, S., & Lucey, S. (2025). The new wave: Integrating artificial intelligence into ethical and multicultural counselling. Counselling and Psychotherapy Research, 25(1), e12830.

Valla, L. G., Rossi, M., Gaia, A., Guaita, A., & Rolandi, E. (2025). The impact of the COVID-19 pandemic on oldest-old social capital and health and the role of digital inequalities: Longitudinal cohort study. Journal of Medical Internet Research, 27, e62824. https://doi.org/10.2196/62824

Weizenbaum, J. (1966). ELIZA—a computer program for the study of natural language communication between man and machine. Communications of the ACM, 9(1), 36–45.

Xue, L., Rashid, A. M., & Ouyang, S. (2024). The unified theory of acceptance and use of technology (UTAUT) in higher education: A systematic review. Sage Open, 14(1). https://doi.org/10.1177/21582440241229570

Yeh, P. L., Kuo, W. C., Tseng, B. L., & Sung, Y. H. (2025). Does the AI-driven chatbot work? Effectiveness of the Woebot app in reducing anxiety and depression in group counseling courses and student acceptance of technological aids. Current Psychology. Advance online publication.

Zaščirinska, K., Šuriņa, S., & Mārtinsone, K. (2024). Trends in dance/movement therapy research: A bibliometric analysis of publications in the Scopus bibliographic and citation information database. The Arts in Psychotherapy, 90, 102195. https://doi.org/10.1016/j.aip.2024.102195

Downloads

Published

29-04-2025

How to Cite

Saripudin, M., Ulandari, R. ., & Rahmania, D. . (2025). Trends in Guidance and Counseling Technology Research: A Bibliometric Analysis of Publications in the Scopus Database. Jurnal Pembelajaran, Bimbingan, Dan Pengelolaan Pendidikan, 5(4), 8. https://doi.org/10.17977/um065.v5.i4.2025.8

Issue

Section

Articles