Enhancing administrative efficiency in higher education with AI: a chatbot solution

Autores

DOI:

https://doi.org/10.37497/rev.artif.intell.educ.v3i00.23

Palavras-chave:

Chatbot, Higher Education Administration, Digital Transformation, AI in Education, Process Optimization

Resumo

Objective: To alleviate high demand on the Stricto Sensu secretariat through a chatbot designed for various inquiries.

Method: Utilized a qualitative approach, leveraging interviews for empirical analysis and Ishikawa diagrams for process mapping.

Results: Demonstrated the chatbot's capacity to streamline secretarial tasks, especially highlighted during pandemic-induced challenges.

Practical Implications: The initiative offers a scalable model for enhancing administrative efficiency across higher education institutions, promoting interdisciplinary collaboration and technological integration.

Conclusions: By improving response efficiency and reducing wait times for student requests, the chatbot exemplifies the transformative potential of AI in educational administration, suggesting a strategic direction for future technological adoptions in higher education.

Biografia do Autor

Cristina Doritta Brandão Majorana, Escola Superior de Propaganda e Marketing - ESPM, São Paulo

Academic Mentor. PhD from the Graduate Program in Administration at the School of Advertising and Marketing (PPGA/ESPM/SP), full CAPES scholarship holder. Holds a Master's degree from the Doctoral and Master's Program in International Management at the School of Advertising and Marketing (PMDGI/ESPM/SP), full CAPES scholarship holder. Undergraduate degree in Administration from the School of Advertising and Marketing (ESPM/SP), institutional scholarship holder in the scientific initiation program, and a degree in Law from the University of Vale do Itajaí (UNIVALI/SC), institutional scholarship holder in the extension project program. Her areas of interest include International Business, International Strategy and Innovation, Innovative Entrepreneurship, Productive Entrepreneurship, Entrepreneurial Ecosystem, Organizational Creativity, Artificial Intelligence, Startups.

Renata Benigna Gonçalves, Escola Superior de Propaganda e Marketing (ESPM), São Paulo

PhD candidate in Administration and Master in Consumer Behavior at the School of Advertising and Marketing (ESPM) - Research Area: Strategy and Market Intelligence. Dissertation Topic: Moderating Effects of Privacy Paradox in the Use of Wearables by Physical Activity Practitioners. Advisor: Prof. Dr. Júlio César Bastos de Figueiredo. Holds a postgraduate degree in Market Communication from the School of Advertising and Marketing (ESPM) and a Bachelor's degree in Civil Engineering from Universidade Paulista (UNIP). Postgraduate professor at ESPM, teaching Social Networks and Media, Digital Marketing, and Capstone Project. Experience in communication with a focus on Offline and Online Media in the Telecommunications and Payment Technology sectors.

Fernando Luis Abegao Neto , Escola Superior de Propaganda e Marketing (ESPM), São Paulo

Holds a degree in Administration from Insper Institute of Education and Research (2006). Currently serves as the Superintendent of Strategic Planning at Alelo Brasil. Has experience in the field of Administration, with a focus on Competitive Strategy. Holds an MSc in Consumer Behavior (MPCC).

Ricardo Zagallo Camargo , Escola Superior de Propaganda e Marketing (ESPM), São Paulo

PhD in Communication Sciences (2009) from the University of São Paulo. Served as Coordinator and Director of the Advanced Studies Center at ESPM (2005-2016). Since 2017, he has been a faculty member of the Professional Master's in Consumer Behavior (MPCC-ESPM). Acted as editor (2019-2022) of the International Journal of Business & Marketing, associated with MPCC-ESPM, and since 2022 has been Coordinator of the Research Ethics Committee (CEP-ESPM). Researches and teaches in the fields of communication and administration, focusing on consumer behavior, consumption, lifestyle, citizenship, longevity, and aging, primarily using Practice Theories applied to consumption. Other interests include social responsibility, sustainability, marketing, advertising, education, and creativity.

Referências

Abdul-Kader, S. A., & Woods, J. C. (2015). Survey on chatbot design techniques in speech conversation systems. International Journal of Advanced Computer Science and Applications, 6(7), 72-80. DOI: https://doi.org/10.14569/IJACSA.2015.060712

Alqudah, M., & Razali, R. (2016). A review of scaling agile methods in large software development. International Journal on Advanced Science, Engineering and Information Technology, 6(6), 828-837 DOI: https://doi.org/10.18517/ijaseit.6.6.1374

Bardin, L. (2007). Análise de conteúdo. Lisboa: Edições 70.

Bilsel, R. U., & Lin, D. K. (2012). Ishikawa cause and effect diagrams using capture recapture techniques. Quality Technology & Quantitative Management, 9(2), 137-152. DOI: https://doi.org/10.1080/16843703.2012.11673282

Bove, L. L., & Johnson, L. W. (2006). Customer loyalty to one service worker: should it be discouraged?. International Journal of Research in Marketing, 23(1), 79-91. DOI: https://doi.org/10.1016/j.ijresmar.2006.01.007

Creswell, J. W. (2010). Projeto de pesquisa métodos qualitativo, quantitativo e misto. In Projeto de pesquisa métodos qualitativo, quantitativo e misto.

Creswell, J. W. (2014). Investigação Qualitativa e Projeto de Pesquisa: Escolhendo entre Cinco Abordagens. Penso Editora.

Dahiya, M. (2017). A tool of conversation: Chatbot. International Journal of Computer Sciences and Engineering, 5(5), 158-161.

Desafios da Educação. (2020). Peter Diamandis: “A pandemia vai acelerar a educação personalizada”. Disponível em: <https://desafiosdaeducacao.grupoa.com.br/peter-diamandis-educacao/>. Aceso em julho, 2020.

Desidério, M. (2020). Como garantir matrículas na quarentena? O novo desafio do ensino superior. Exame. Disponível em: <https://exame.com/negocios/como-garantir-matriculas-na-quarentena-o-novo-desafio-do-ensino-superior/>. Acesso em julho, 2020.

Eisenmann, T. R., Ries, E., & Dillard, S. (2012). Hypothesis-driven entrepreneurship: The lean startup. Harvard Business School Entrepreneurial Management Case, 812-095.

Guenzi, P., & Pelloni, O. (2004). The impact of interpersonal relationships on customer satisfaction and loyalty to the service provider. International Journal of Service Industry Management, 15(4), 365-384. DOI: https://doi.org/10.1108/09564230410552059

IBM. (2020). IBM Cloud. Disponível em: <https://cloud.ibm.com/catalog/services/watson-assistant>. Acesso em maio, 2020.

Kiperman, A. (2020). Lições do coronavírus: tecnologia educacional é um caminho sem volta. Desafios da Educação. Disponível em: <https://desafiosdaeducacao.grupoa.com.br/tecnologia-educacional-coronavirus/>. Acesso em julho, 2020.

Krippendorff, K. (2004). Content analysis: An introduction to its methodology. Thousand Oaks: Sage.

Lenarduzzi, V., & Taibi, D. (2016). Mvp explained: A systematic mapping study on the definitions of minimal viable product. In 2016 42th Euromicro Conference on Software Engineering and Advanced Applications (SEAA/ IEEE), 112-119. DOI: https://doi.org/10.1109/SEAA.2016.56

Liguori, E., & Winkler, C. (2020). From Offline to Online: Challenges and Opportunities for Entrepreneurship Education Following the COVID-19 Pandemic. DOI: https://doi.org/10.1177/2515127420916738

Lima, M. (2020). Conheça as principais projeções do mercado educacional para 2020. Quero Educação. Disponível em: <https://gestao.quero.com/blog/conheca-as-principais-projecoes-do-mercado-educacional-para-2020/>. Acesso em julho, 2020.

Marcondes, R. C., Miguel, L. A. P., Franklin, M. A., & Perez, G. (2017). Metodologia para elaboração de trabalhos práticos e aplicados: administração e contabilidade. São Paulo: Editora Mackenzie.

Matute, J., Palau-Saumell, R., & Viglia, G. (2018). Beyond chemistry: the role of employee emotional competence in personalized services. Journal of Services Marketing, 32(3), 346-359. DOI: https://doi.org/10.1108/JSM-05-2017-0161

Mikic, F. A., Burguillo, J. C., Llamas, M., Rodríguez, D. A., & Rodríguez, E. (2009, June). Charlie: An aiml-based chatterbot which works as an interface among INES and humans. In 2009 EAEEIE Annual Conference, 1-6. IEEE. DOI: https://doi.org/10.1109/EAEEIE.2009.5335493

Moogk, D. R. (2012). Minimum viable product and the importance of experimentation in technology startups. Technology Innovation Management Review, 2(3). DOI: https://doi.org/10.22215/timreview535

Ranoliya, B. R., Raghuwanshi, N., & Singh, S. (2017, September). Chatbot for university related FAQs. In 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI), IEEE, 1525-1530. DOI: https://doi.org/10.1109/ICACCI.2017.8126057

Ries, E. (2011). The lean startup. New York: Crown Business, 27.

Robinson, S. L., Kraatz, M. S., & Rousseau, D. M. (1994). Changing obligations and the psychological contract: A longitudinal study. Academy of Management Journal, 37(1), 137-152. DOI: https://doi.org/10.2307/256773

Surprenant, C. F., & Solomon, M. R. (1987). Predictability and personalization in the service encounter. Journal of Marketing, 51(2), 86-96. DOI: https://doi.org/10.1177/002224298705100207

Wang, K. L., & Groth, M. (2014). Buffering the negative effects of employee surface acting: The moderating role of employee–customer relationship strength and personalized services. Journal of Applied Psychology, 99(2), 341. DOI: https://doi.org/10.1037/a0034428

World Health Organization – WHO. (2020). Coronavirus disease (COVID-19) pandemic. Disponível em: <https://www.who.int/emergencies/diseases/novel-coronavirus-2019?gclid=CjwKCAjwxev3BRBBEiwAiB_PWMjRjeRGNGNYHJ980ICHGg3DWGQgw3nPAEcxWlNFAzfRtyF-9URemBoCJwUQAvD_BwE>. Acesso em junho, 2020.

Xu, A., Liu, Z., Guo, Y., Sinha, V., & Akkiraju, R. (2017, May). A new chatbot for customer service on social media. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 3506-3510. DOI: https://doi.org/10.1145/3025453.3025496

Yin, R. K. (2016). Pesquisa qualitativa do início ao fim. Penso Editora.

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Publicado

2022-10-10

Como Citar

Majorana, C. D. B., Gonçalves, R. B., Neto , F. L. A., & Camargo , R. Z. (2022). Enhancing administrative efficiency in higher education with AI: a chatbot solution. Review of Artificial Intelligence in Education, 3, e23. https://doi.org/10.37497/rev.artif.intell.educ.v3i00.23

Edição

v. 3 (2022): Jan./Dec. (Continuous Publication)

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