Exploring the Potential of ChatGPT in Developing a Virtual Assistant for Prevention and Support in Cases of School Bullying

Authors

  • Rodolfo Mendoza Pinto Universidad Nacional de San Agustín de Arequipa

DOI:

https://doi.org/10.19153/cleiej.28.4.6

Keywords:

Keywords: Bullying1, Emotional support2, Technology in education3, Artificial Intelligence4, ChatGPT5.

Abstract

Bullying is a global problem that negatively affects students, their families, and communities.
This study addresses the creation and evaluation of an artificial intelligence (AI)-based
chatbot to provide emotional support to student victims of bullying, using a combination of
exploratory and descriptive approaches. A chatbot was developed on the Telegram messaging
platform, integrating the ChatGPT API to improve response generation. A topic- and equitysensitive design was implemented, and conversation logging and harassment detection
functionality was enabled. The research focused on the technical functionality of the chatbot
and its ability to provide emotional support and guidance. The chatbot proved to be capable of
providing basic emotional support and guidance to users. The integration of ChatGPT
enriched the consistency and contextualization of responses. Intuitive interaction was
achieved through Telegram, providing relevant and contextually appropriate responses.
Although this research focused on the technical functionality of the chatbot, its
implementation in students and data analysis of user interactions represent important future
steps. The chatbot has the potential to empower victims of bullying and improve school
safety. In addition, this research contributes to the creation of a new tool for collecting and
analyzing data on bullying, improving early detection and prevention.

References

A. Bonet-Morro, M. Alguacil, P. Escamilla-Fajardo, C. Pérez-Campos, and S. Aguado, “Gender comparative

study on bullying: strategies and actions,” Retos, vol. 44, 2022, doi: 10.47197/RETOS.V44I0.88111.

M. F. Lazo-Legrand, R. Palomino-Torres, H. Chacon-Torrico, H. Garayar-Peceros, and J. J. Alarco, “Exposure

to domestic violence and bullying victimization among Peruvian adolescents,” Cad. Saude Publica, vol. 38, no.

, 2022, doi: 10.1590/0102-311XES070922.

E. A. Fuentes, P. R. Carvallo, and S. R. Poblete, “Bullying as a risk factor for depression and suicide,” Rev.

Chil. Pediatr., vol. 91, no. 3, pp. 432–439, May 2020, doi: 10.32641/rchped.v91i3.1230.

N. Balluerka, J. Aliri, O. Goñi-Balentziaga, and A. Gorostiaga, “Association between bullying victimization,

anxiety and depression in childhood and adolescence: The mediating effect of self-esteem,” Rev. Psicodidact.,

vol. 28, no. 1, pp. 26–34, Jan. 2023, doi: 10.1016/j.psicod.2022.10.001.

E. Rivero Espinosa, “Nuevos sentidos de la convivencia en la escuela: sistematización de una experiencia de

Investigación Acción Participativa con docentes,” Rev. Latinoam. Estud. la Paz y el Confl., vol. 3, no. 5, pp.

–104, 2021, doi: 10.5377/rlpc.v3i5.12649.

UNESCO, Behind the numbers: ending school violence and bullying. UNESCO, 2019. doi: 10.54675/trvr4270.

MINEDU, “Número de casos reportados en el SISIVE a nivel nacional. MINEDU:,” SíseVe, 2023, Accessed:

Oct. 25, 2023. [Online]. Available: http://www.siseve.pe/web/

R. Z. Chapoñan, J. M. C. Sancho, H. C. Parra, G. I. M. Paredes, and J. A. Z. Huaman, “Knowledge about

School Bullying Reporting Systems and the Type of Intervention of the Adolescent Witness,” Rev. Cubana

Enferm., vol. 38, no. 1, p. e4221, Jan. 2022.

R. Castro-Álvarez, I. Gómez-Marí, and R. Tárraga-Mínguez, “‘Mamá, me quiero ir de este colegio’. Un

análisis de las experiencias de acoso escolar de estudiantes con diversidad funcional,” Educ. Siglo XXI, vol.

, no. 1, pp. 107–128, Feb. 2023, doi: 10.6018/EDUCATIO.506341.

C. Marlow, S. Gönülta?, and K. L. Mulvey, “Adolescents’ Expectations for Types of Victim Retaliation

Following Direct Bullying,” J. Youth Adolesc., vol. 52, no. 3, pp. 533–546, Mar. 2023, doi: 10.1007/s10964-

-01710-5.

F. Çakmak, S. M. Ismail, and S. Karami, “Advancing learning-oriented assessment (LOA): mapping the role of

self-assessment, academic resilience, academic motivation in students’ test-taking skills, and test anxiety

management in Telegram-assisted-language learning,” Lang. Test. Asia, vol. 13, no. 1, pp. 1–19, Dec. 2023,

doi: 10.1186/s40468-023-00230-8.

F. I. Saldivar-González, E. Fernández-De Gortari, and J. L. Medina-Franco, “Artificial intelligence in drug

design: Towards augmented intelligence,” Educ. Quim., vol. 34, no. 2, pp. 17–25, Apr. 2023, doi:

22201/fq.18708404e.2023.2.83233.

B. D. Lund, T. Wang, N. R. Mannuru, B. Nie, S. Shimray, and Z. Wang, “ChatGPT and a new academic

reality: Artificial Intelligence-written research papers and the ethics of the large language models in scholarly

publishing,” J. Assoc. Inf. Sci. Technol., vol. 74, no. 5, pp. 570–581, May 2023, doi: 10.1002/asi.24750.

A. Tlili et al., “What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in

education,” Smart Learn. Environ., vol. 10, no. 1, 2023, doi: 10.1186/s40561-023-00237-x.

M. Salvagno, F. S. Taccone, and A. G. Gerli, “Can artificial intelligence help for scientific writing?,” Crit.

Care, vol. 27, no. 1, pp. 1–5, Dec. 2023, doi: 10.1186/s13054-023-04380-2.

A. G. de OLIVEIRA and D. Silveira, “Artificial Intelligence Software its truths, failures and possible impacts

on the social, scientific and educational environment,” Infarma - Pharmaceutical Sciences, vol. 35, no. 1.

Conselho Federal de Farmacia, pp. 3–5, 2023. doi: 10.14450/2318-9312.v35.e1.a2023.pp3-5.

E. A. Mollinedo Chávez, “Implementación de una agente robotizado usando arduino y dialogflow con

procesamiento de lenguaje natural para promover el emprendimiento en los estudiantes de la Universidad

Católica de Santa María,” Univ. Católica St. María, Oct. 2021, Accessed: Oct. 25, 2023. [Online]. Available:

https://repositorio.ucsm.edu.pe/handle/20.500.12920/11520

L. Estrada, “Implementar Chatbot basado en Inteligencia Artificial para la Gestión de Requerimientos e

incidentes en una Empresa de Seguros. Tesis para optar el Título Profesional de Ingeniero Empresarial y de

Sistemas,” 2018, Accessed: Oct. 25, 2023. [Online]. Available: https://hdl.handle.net/20.500.14005/8844

J. M. Arana Reyes Guerrero, R. C. Collantes Saenz, and Mm, “Modelo De Chatbot Basado En Inteligencia

Artificial Para Incrementar La Satisfación Del Cliente En Empresas De Venta De Alimentos, Callao 2021,” p.

, 2021, Accessed: Oct. 25, 2023. [Online]. Available:

http://repositorio.unac.edu.pe/handle/20.500.12952/6087

M. S. Espinosa Ruiz and M. S. Espinosa Ruiz, “Desarrollo de un chatbot de asesoría en casos de acoso

escolar,” 2019, Accessed: Oct. 25, 2023. [Online]. Available: https://hdl.handle.net/20.500.14352/15376

S. Gabrielli, S. Rizzi, S. Carbone, and V. Donisi, “A chatbot-based coaching intervention for adolescents to

promote life skills: Pilot study,” JMIR Hum. Factors, vol. 7, no. 1, 2020, doi: 10.2196/16762.

A. T. Neumann et al., “Chatbots as a Tool to Scale Mentoring Processes: Individually Supporting Self-Study in

Higher Education,” Front. Artif. Intell., vol. 4, p. 668220, May 2021, doi: 10.3389/frai.2021.668220.

L. S. G. Piccolo, P. Troullinou, and H. Alani, “Chatbots to Support Children in Coping with Online Threats:

Socio-technical Requirements,” in DIS 2021 - Proceedings of the 2021 ACM Designing Interactive Systems

Conference: Nowhere and Everywhere, Association for Computing Machinery, Inc, 2021, pp. 1504–1517. doi:

1145/3461778.3462114.

T. Ige and S. Adewale, “AI Powered Anti-Cyber Bullying System using Machine Learning Algorithm of

Multinomial Naïve Bayes and Optimized Linear Support Vector Machine Interception of Cyberbully Contents

in a Messaging System by Machine Learning Algorithm,” Int. J. Adv. Comput. Sci. Appl., vol. 13, no. 5, pp.

–9, Jan. 2022, doi: 10.14569/IJACSA.2022.0130502.

N. I. Mohd Rahim, N. A. Iahad, A. F. Yusof, and M. A. Al-Sharafi, “AI-Based Chatbots Adoption Model for

Higher-Education Institutions: A Hybrid PLS-SEM-Neural Network Modelling Approach,” Sustain., vol. 14,

no. 19, p. 12726, Oct. 2022, doi: 10.3390/su141912726.

R. Z. Chapoñan, J. A. Z. Huaman, J. M. C. Sancho, H. C. Parra, G. I. M. Paredes, and L. C. Niño, “Association

between parenting styles and the role of Peruvian adolescents in bullying, 2019,” Rev. Cuid., vol. 14, no. 1, p.

e2679, Jan. 2023, doi: 10.15649/cuidarte.2679.

G. S. Gonçalves, T. de L. S. Ribeiro, J. E. V. Teixeira, and B. K. Costa, “A implantação de chatbot para

melhorar o atendimento das instituições de ensino superior durante a COVID-19,” Int. J. Innov., vol. 10, no. 1,

pp. 178–203, 2022, doi: 10.5585/iji.v10i1.20652.

L. Gkinko and A. Elbanna, “The appropriation of conversational AI in the workplace: A taxonomy of AI

chatbot users,” Int. J. Inf. Manage., vol. 69, p. 102568, Apr. 2023, doi: 10.1016/j.ijinfomgt.2022.102568.

M. Morales, “Explorando el potencial de Chat GPT: Una clasificación de Prompts efectivos para la

enseñanza,” GES Dep. Galileo Univ. Guatemala, Guatemala, pp. 1–8, Feb. 2023, Accessed: Oct. 25, 2023.

[Online]. Available: http://159.203.148.56:8080/xmlui/handle/123456789/1348

D. N. Owusu, K. Owusu Ansah, N. E. Y. Dey, H. O. Duah, and P. Agbadi, “Bullying and truancy amongst

school-going adolescents in Timor-Leste: results from the 2015 global school-based health survey,” Heliyon,

vol. 8, no. 1, p. e08797, Jan. 2022, doi: 10.1016/j.heliyon.2022.e08797.

W. H. Curioso and M. J. Brunette, “Artificial intelligence and innovation to optimize the tuberculosis

diagnostic process,” Rev. Peru. Med. Exp. Salud Publica, vol. 37, no. 3, pp. 554–558, Sep. 2020, doi:

17843/rpmesp.2020.373.5585.

R. Miralles, “Cloud computing y protección de datos,” Redalyc, no. 1699–8154, pp. 14–23, Dec. 2010,

Accessed: Oct. 25, 2023. [Online]. Available: https://openaccess.uoc.edu/handle/10609/8699

Downloads

Published

2025-08-03