Exams as a Service: Synergies Between ChatGPT, and Cloud Computing for Education

Gustavo Navas; Julio Proaño-Orellana; Rogelio Orizondo; Alex Terreros

doi:10.1007/978-3-031-98287-3_13

Exams as a Service: Synergies Between ChatGPT, and Cloud Computing for Education

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

Resumen

Institutions are increasingly adopting advanced technologies to enhance learning experiences in the evolving landscape of education. This paper introduces the concept of Exams as a Service (EaaS), leveraging the synergies between ChatGPT, natural language processing (NLP), and cloud computing to automate and personalize the process of question generation and assessment. By integrating these technologies, the proposed system offers a scalable platform for educators to create customized exams, deliver real-time feedback, and dynamically adjust assessments to suit the needs of individual learners. This approach reduces the workload associated with traditional assessment methods and enhances the overall quality of education by providing adaptive, AI-driven learning experiences.

Idioma original	Inglés
Título de la publicación alojada	Smart Technologies, Systems and Applications - 4th International Conference, SmartTech-IC 2024, Revised Selected Papers
Editores	Fabián R. Narváez, Micaela N. Villa, Gloria M. Díaz
Editorial	Springer Science and Business Media Deutschland GmbH
Páginas	178-192
Número de páginas	15
ISBN (versión impresa)	9783031982866
DOI	https://doi.org/10.1007/978-3-031-98287-3_13
Estado	Publicada - 2026
Evento	4th International Conference on Smart Technologies, Systems and Applications, SmartTech-IC 2024 - Quito, Ecuador Duración: 2 dic. 2024 → 4 dic. 2024

Serie de la publicación

Nombre	Communications in Computer and Information Science
Volumen	2392 CCIS
ISSN (versión impresa)	1865-0929
ISSN (versión digital)	1865-0937

Conferencia

Conferencia	4th International Conference on Smart Technologies, Systems and Applications, SmartTech-IC 2024
País/Territorio	Ecuador
Ciudad	Quito
Período	2/12/24 → 4/12/24

Nota bibliográfica

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.

Acceder al documento

10.1007/978-3-031-98287-3_13

Otros archivos y enlaces

Enlace a la publicación en Scopus

Citar esto

Navas, G., Proaño-Orellana, J., Orizondo, R., & Terreros, A. (2026). Exams as a Service: Synergies Between ChatGPT, and Cloud Computing for Education. En F. R. Narváez, M. N. Villa, & G. M. Díaz (Eds.), Smart Technologies, Systems and Applications - 4th International Conference, SmartTech-IC 2024, Revised Selected Papers (pp. 178-192). (Communications in Computer and Information Science; Vol. 2392 CCIS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-98287-3_13

Navas, Gustavo ; Proaño-Orellana, Julio ; Orizondo, Rogelio et al. / Exams as a Service : Synergies Between ChatGPT, and Cloud Computing for Education. Smart Technologies, Systems and Applications - 4th International Conference, SmartTech-IC 2024, Revised Selected Papers. editor / Fabián R. Narváez ; Micaela N. Villa ; Gloria M. Díaz. Springer Science and Business Media Deutschland GmbH, 2026. pp. 178-192 (Communications in Computer and Information Science).

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abstract = "Institutions are increasingly adopting advanced technologies to enhance learning experiences in the evolving landscape of education. This paper introduces the concept of Exams as a Service (EaaS), leveraging the synergies between ChatGPT, natural language processing (NLP), and cloud computing to automate and personalize the process of question generation and assessment. By integrating these technologies, the proposed system offers a scalable platform for educators to create customized exams, deliver real-time feedback, and dynamically adjust assessments to suit the needs of individual learners. This approach reduces the workload associated with traditional assessment methods and enhances the overall quality of education by providing adaptive, AI-driven learning experiences.",

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Navas, G , Proaño-Orellana, J , Orizondo, R & Terreros, A 2026, Exams as a Service: Synergies Between ChatGPT, and Cloud Computing for Education. En FR Narváez, MN Villa & GM Díaz (eds.), Smart Technologies, Systems and Applications - 4th International Conference, SmartTech-IC 2024, Revised Selected Papers. Communications in Computer and Information Science, vol. 2392 CCIS, Springer Science and Business Media Deutschland GmbH, pp. 178-192, 4th International Conference on Smart Technologies, Systems and Applications, SmartTech-IC 2024, Quito, Ecuador, 2/12/24. https://doi.org/10.1007/978-3-031-98287-3_13

Exams as a Service: Synergies Between ChatGPT, and Cloud Computing for Education. / Navas, Gustavo ; Proaño-Orellana, Julio ; Orizondo, Rogelio et al.
Smart Technologies, Systems and Applications - 4th International Conference, SmartTech-IC 2024, Revised Selected Papers. ed. / Fabián R. Narváez; Micaela N. Villa; Gloria M. Díaz. Springer Science and Business Media Deutschland GmbH, 2026. p. 178-192 (Communications in Computer and Information Science; Vol. 2392 CCIS).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

TY - GEN

T1 - Exams as a Service

T2 - 4th International Conference on Smart Technologies, Systems and Applications, SmartTech-IC 2024

AU - Navas, Gustavo

AU - Proaño-Orellana, Julio

AU - Orizondo, Rogelio

AU - Terreros, Alex

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.

PY - 2026

Y1 - 2026

N2 - Institutions are increasingly adopting advanced technologies to enhance learning experiences in the evolving landscape of education. This paper introduces the concept of Exams as a Service (EaaS), leveraging the synergies between ChatGPT, natural language processing (NLP), and cloud computing to automate and personalize the process of question generation and assessment. By integrating these technologies, the proposed system offers a scalable platform for educators to create customized exams, deliver real-time feedback, and dynamically adjust assessments to suit the needs of individual learners. This approach reduces the workload associated with traditional assessment methods and enhances the overall quality of education by providing adaptive, AI-driven learning experiences.

AB - Institutions are increasingly adopting advanced technologies to enhance learning experiences in the evolving landscape of education. This paper introduces the concept of Exams as a Service (EaaS), leveraging the synergies between ChatGPT, natural language processing (NLP), and cloud computing to automate and personalize the process of question generation and assessment. By integrating these technologies, the proposed system offers a scalable platform for educators to create customized exams, deliver real-time feedback, and dynamically adjust assessments to suit the needs of individual learners. This approach reduces the workload associated with traditional assessment methods and enhances the overall quality of education by providing adaptive, AI-driven learning experiences.

KW - Artificial Intelligence

KW - ChatGPT

KW - Cloud Computing

KW - Education

KW - Exams as a Service

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DO - 10.1007/978-3-031-98287-3_13

M3 - Conference contribution

AN - SCOPUS:105016147079

SN - 9783031982866

T3 - Communications in Computer and Information Science

SP - 178

EP - 192

BT - Smart Technologies, Systems and Applications - 4th International Conference, SmartTech-IC 2024, Revised Selected Papers

A2 - Narváez, Fabián R.

A2 - Villa, Micaela N.

A2 - Díaz, Gloria M.

PB - Springer Science and Business Media Deutschland GmbH

Y2 - 2 December 2024 through 4 December 2024

ER -

Navas G , Proaño-Orellana J , Orizondo R, Terreros A. Exams as a Service: Synergies Between ChatGPT, and Cloud Computing for Education. En Narváez FR, Villa MN, Díaz GM, editores, Smart Technologies, Systems and Applications - 4th International Conference, SmartTech-IC 2024, Revised Selected Papers. Springer Science and Business Media Deutschland GmbH. 2026. p. 178-192. (Communications in Computer and Information Science). doi: 10.1007/978-3-031-98287-3_13