Innovation in Pedagogical Strategies through Artificial Intelligence: A Systematic Review

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Published: 2025-04-15
DOI: https://doi.org/10.32719/26312816.5432
Keywords:
chatGPT, teaching, pedagogical strategy, artificial intelligence, personalization

Main Article Content

Jefferson Alexander Moreno-Guaicha
YachayTech, Universidad de Investigación de Tecnología Experimental. San Miguel de Urcuquí, Ecuador.
https://orcid.org/0000-0002-0380-4739
Pablo Israel Salazar-Luna
YachayTech, Universidad de Investigación de Tecnología Experimental. San Miguel de Urcuquí, Ecuador.
https://orcid.org/0009-0004-2662-6121
Silvana Karina Escobar-Córdova
YachayTech, Universidad de Investigación de Tecnología Experimental. San Miguel de Urcuquí, Ecuador.
https://orcid.org/0000-0001-5414-0672

Abstract

The present study aims to identify AI tools applied in pedagogical strategies at different educational levels and analyze their outcomes. The methodology employed was a systematic review based on PRISMA guidelines. Starting with 683 studies identified in Scopus and Dimensions, 30 were selected after applying inclusion and exclusion criteria. The results were organized into five categories: improvement of learning and motivation (33,3%), which involves the use of tools such as adaptive systems and ChatGPT to personalize content and support individualized learning; intelligent tutoring (20%), focused on automated guidance; behavior analysis and feedback (20%), aimed at monitoring progress and continuous assessment; generation of educational resources (13,3%), centered on the automated creation of teaching materials; and integration into learning management platforms (13,3%), oriented toward the administration and access of educational content. The contribution of this study lies in systematizing and classifying AI applications in education, demonstrating their effectiveness in enhancing teaching quality and refining educational content. It concludes that, to maximize impact, a balanced approach is necessary—one that incorporates technical elements alongside essential pedagogical principles such as creativity, empathy, and critical thinking.

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Article Details

Issue

Vol. 8 No. 2 (2025): Andean Journal of Education 8(2) (May-October, 2025)

Section

Systematic literature reviews
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Author Biographies

Jefferson Alexander Moreno-Guaicha, YachayTech, Universidad de Investigación de Tecnología Experimental. San Miguel de Urcuquí, Ecuador.

Candidato a Doctor en Educación e Innovación, Máster Filosofía, Máster en Desarrollo Social y Licenciado en Filosofía y Pedagogía. Profesor-investigador del Departamento de Desarrollo Humano de la Universidad Yachay Tech, Ecuador.

Pablo Israel Salazar-Luna, YachayTech, Universidad de Investigación de Tecnología Experimental. San Miguel de Urcuquí, Ecuador.

Comunicador social multidisciplinar. Máster en Tecnologías de la Información y Comunicación con mención en Formación del Profesorado, Comunicador Social con mención en Educomunicación Arte y Cultura. Docente de la Universidad Yachay Tech, Ecuador

Silvana Karina Escobar-Córdova, YachayTech, Universidad de Investigación de Tecnología Experimental. San Miguel de Urcuquí, Ecuador.

Máster en Estudios de Comunicación e Información. Licenciada CPA y cursando una Especialización en Ciencia, Tecnología y Sociedad. Docente-investigadora del Departamento de Desarrollo Humano de la Universidad Yachay Tech, Ecuador

References

Abella, M., & Fernández, K. (2023). Docencia en la era de la inteligencia artificial: Enfoques prácticos para docentes. Universidad de Burgos. https://tinyurl.com/4jkhjj7k

Albdrani, R., & Al-Shargabi, A. (2023). Investigating the Effectiveness of ChatGPT for Providing Personalized Learning Experience: A Case Study. International Journal of Advanced Computer Science and Applications, 14(11), 1208-1213. https://doi.org/10.14569/IJACSA.2023.01411122

Bernabei, M., Colabianchi, S., Falegnami, A., & Costantino, F. (2023). Students’ Use of Large Language Models in Engineering Education: A Case Study on Technology Acceptance, Perceptions, Efficacy, and Detection Chances. Computers and Education: Artificial Intelligence, 5. https://doi.org/10.1016/j.caeai.2023.100172

Cao, X., Li, Z., & Zhang, R. (2021). Analysis on Academic Benchmark Design and Teaching Method Improvement under Artificial Intelligence Robot Technology. International Journal of Emerging Technologies in Learning, 16(5), 58-72. https://doi.org/10.3991/ijet.v16i05.20295

Chang, D., Pin-Chuan Lin, M., Hajian, S., & Wang, Q. (2023). Educational Design Principles of Using AI Chatbot That Supports Self-Regulated Learning in Education: Goal Setting, Feedback, and Personalization. Sustainability, 15(17). https://doi.org/10.3390/su151712921

Cobo, C., & Moravec, J. (2011). Aprendizaje invisible: Hacia una nueva ecología de la educación. Universitat de Barcelona. https://tinyurl.com/bdeus4vp

Davis, R., & Lee, Y. (2024). Prompt: ChatGPT, Create My Course, Please! Education Sciences, 14(1). https://doi.org/10.3390/educsci14010024

Davy Ng, T. K., Luo, W., Yi Chan, H. M., & Wah Chu, S. K. (2022). Using Digital story Writing as a Pedagogy to Develop AI Literacy among Primary Students. Computers and Education: Artificial Intelligence, 3. https://doi.org/10.1016/j.caeai.2022.100054

Davy Ng, T. K., Wu, W., Lok Leung, J. K., Fung Chiu, T. K., & Wah Chu, S. K. (2024). Design and Validation of the AI Literacy Questionnaire: The Affective, Behavioural, Cognitive and Ethical Approach. British Journal of Educational Technology, 55(3), 1082-1104. https://doi.org/10.1111/bjet.13411

Di Blas, N., Fiore, A., Mainetti, L., Vergallo, R., & Paolini, P. (2014). A Portal of Educational Resources: Providing Evidence for Matching Pedagogy with Technology. Research in Learning Technology, 22. https://doi.org/10.3402/RLT.V22.22906

Drugova, E., Zhuravleva, I., Zakharova, U., Sotnikova, V., & Yakovleva, K. (2022). Artificial Intelligence for Learning Analytics and Instructional Design Steps: An Overview of Solutions. Educational Studies Moscow, 4, 107-153. https://doi.org/10.17323/1814-9545-2022-4-107-153

García Aretio, L. (2020). Los saberes y competencias docentes en educación a distancia y digital: Una reflexión para la formación. RIED. Revista Iberoamericana de Educación a Distancia, 23(2), 9-30. https://doi.org/10.5944/ried.23.2.26540

Ghazali, S. A., Zaki, N., Ali, L., & Harous, S. (2024). Exploring the Potential of ChatGPT as a Substitute Teacher: A Case Study. International Journal of Information and Education Technology, 14(2), 271–278. https://tinyurl.com/2nfj33z2

Gupta, S., Kumar, P., & Tekchandani, R. (2023). Facial Emotion Recognition Based Real-Time Learner Engagement Detection System in Online Learning Context Using Deep Learning Models. Multimedia Tools and Applications, 82, 11365-11394. https://doi.org/10.1007/s11042-022-13558-9

Hsu, T., Abelson, H., Lao, N., & Chen, S. (2021). Is It Possible for Young Students to Learn the AI-STEAM Application with Experiential Learning? Sustainability, 13(19). https://doi.org/10.3390/su131911114

Ivannova, L., Acosta, P., De Moreta, J., & González, M. (2023). Empowering Education with Generative Artificial Intelligence Tools: Approach with an Instructional Design Matrix. Sustainability, 15(15). https://doi.org/10.3390/su151511524

Kálózi-Szabó, C., Mohai, K., & Cottini, M. (2022). Employing Robotics in Education to Enhance Cognitive Development: A Pilot Study. Sustainability, 14(23). https://doi.org/10.3390/su142315951

Khoruzha, L. (2020). Modern Strategies for Transforming the Content of Pedagogical Education. Collection of Scientific Papers, 33(1), 8-16. https://doi.org/10.28925/2311-2409.2020.33.1

Lameras, P., & Arnab, S. (2021). Power to the Teachers: An Exploratory Review on Artificial Intelligence in Education. Information, 13(1). https://doi.org/10.3390/info13010014

Leng, L. (2024). Challenge, Integration, and Change: ChatGPT and Future Anatomical Education. Medical Education Online, 29(1). https://doi.org/10.1080/10872981.2024.2304973

Li, L., Chen, C., Wang, L., Liang, K., & Bao, W. (2023). Exploring Artificial Intelligence in Smart Education: Real-Time Classroom Behavior Analysis with Embedded Devices. Sustainability, 15(10). https://doi.org/10.3390/su15107940

Liu, Z., Vobolevich, A., & Oparin, A. (2023). The Influence of AI ChatGPT on Improving Teachers’ Creative Thinking. International Journal of Learning, Teaching and Educational Research, 22(12), 124-139. https://doi.org/10.26803/ijlter.22.12.7

Loayza, M., & Moya, M. (2024). Los retos de la inteligencia artificial en el proceso de enseñanza aprendizaje. Revista Latinoamericana de Ciencias Sociales y Humanidades, 5(2), 1983-1996. https://doi.org/10.56712/latam.v5i2.1989

Lodge, J., De Barba, P., & Broadbent, J. (2023). Learning with Generative Artificial Intelligence Within a Network of Co-Regulation. Journal of University Teaching and Learning Practice, 20(7). https://doi.org/10.53761/1.20.7.02

Lv, Z. (2023). Generative Artificial Intelligence in the Metaverse Era. Cognitive Robotics, 3, 208-217. https://doi.org/10.1016/j.cogr.2023.06.001

Mena, A., & Moreno, J. (2023). Plan Educativo COVID-19: Análisis de la realidad de las comunidades indígenas a partir del caso Tzalarón. Religación, 8(35). https://doi.org/10.46652/rgn.v8i35.1006

Michailidis, S. (2022). Educational Innovation in Lecturing Sessions. Bulletin of Kh. Dosmukhamedov Atyrau University, 67(4), 39-46. https://doi.org/10.47649/vau.2022.v67.i4.04

Michalon, B., & Camacho, C. (2023). ChatGPT, a Brand-New Tool to Strengthen Timeless Competencies. Frontiers in Education, 8. https://doi.org/10.3389/feduc.2023.1251163

Mills, A., Bali, M., & Eaton, L. (2023). How Do We Respond to Generative AI in Education? Open Educational Practices Give Us a Framework for an Ongoing Process. Journal of Applied Learning and Teaching, 6(1), 16-30. https://doi.org/10.37074/jalt.2023.6.1.34

Mondal, K. (2019). A Synergy of Artificial Intelligence and Education in the 21st Century Classrooms. Ponencia presentada en la 2019 International Conference on Digitization (ICD), Sharjah, Emiratos Árabes Unidos, 18-19 de noviembre. https://doi.org/10.1109/ICD47981.2019.9105727

Mondal, H., Marndi, G., Behera, J., & Mondal, S. (2023). ChatGPT for Teachers: Practical Examples for Utilizing Artificial Intelligence for Educational Purposes. Indian Journal of Vascular and Endovascular Surgery, 10(3), 200-205. https://doi.org/10.4103/ijves.ijves_37_23

Moreno, J., Mena, A., & Zerpa, L. (2024). Modelos de aprendizaje en la transición hacia la complejidad como un desafío a la simplicidad. Sophia. Colección de Filosofía de la Educación, 36, 69-112. https://doi.org/10.17163/soph.n36.2024.02

Page, M., McKenzie, J., Bossuyt, P., Boutron, I., Hoffmann, T., Mulrow, C., Shamseer, L., Tetzlaff, J., Akl, E., Brennan, S., Chou, R., Glanville, J., Grimshaw, J., Hróbjartsson, A., Lalu, M., Li, T., Loder, E., Mayo-Wilson, E., McDonald, S., McGuinness, L., Stewart, L., Thomas, J., Tricco, A., Welch, V., Whiting, P., & Moher, D. (2021). The PRISMA 2020 Statement: An Updated Guideline for Reporting Systematic Reviews. BMJ, 372. https://doi.org/10.1136/bmj.n71

Parmigiani, D., Van Ginkel, S., Saltsman, G., & Dhungana, B. (2020). Innovation in Teacher Education. Journal on Educational Technology, 28, 103-105. https://doi.org/10.17471/2499-4324/1187

Sánchez, S., & Luján, S. (2018). Technological Innovations in Large-Scale Teaching: Five Roots of Massive Open Online Courses. Journal of Educational Computing Research, 56(5), 623-644. https://doi.org/10.1177/0735633117727597

Srinivasan, V., & Murthy, H. (2021). Improving Reading and Comprehension in K-12: Evidence from a Large-Scale AI Technology Intervention in India. Computers and Education: Artificial Intelligence, 2. https://doi.org/10.1016/j.caeai.2021.100019

Su, J., & Zhong, Y. (2022). Artificial Intelligence (AI) in Early Childhood Education: Curriculum Design and Future Directions. Computers and Education: Artificial Intelligence, 3. https://doi.org/10.1016/j.caeai.2022.100072

Wang, Y. (2023). Artificial Intelligence Technologies in College English Translation Teaching. Journal of Psycholinguistic Research, 52, 1525-1544. https://doi.org/10.1007/s10936-023-09960-5

Watrianthos, R., Ahmad, S., & Muskhir, M. (2023). Charting the Growth and Structure of Early ChatGPT-Education Research: A Bibliometric Study. Journal of Information Technology Education: Innovations in Practice, 22, 235-253. https://doi.org/10.28945/5221

Wei, P., Wang, X., & Dong, H. (2023). The Impact of Automated Writing Evaluation on Second Language Writing Skills of Chinese EFL Learners: A Randomized Controlled Trial. Frontiers in Psychology, 14. https://doi.org/10.3389/fpsyg.2023.1249991

Yang, Q.-F., Lian, L., & Zhao, J. (2023). Developing a Gamified Artificial Intelligence Educational Robot to Promote Learning Effectiveness and Behavior in Laboratory Safety Courses for Undergraduate Students. International Journal of Educational Technology in Higher Education, 20. https://doi.org/10.1186/s41239-023-00391-9

Yang, W., Lee, H., Wu, R., Zhang, R., & Pan, Y. (2023). Using an Artificial-Intelligence-Generated Program for Positive Efficiency in Filmmaking Education: Insights from Experts and Students. Electronics, 12(23). https://doi.org/10.3390/electronics12234813

Yue Yim, I.., & Su, J. (2024). Artificial Intelligence (AI) Learning Tools in K-12 Education: A Scoping Review. Journal of Computers in Education, 12, 93-131. https://doi.org/10.1007/s40692-023-00304-9

Yuquilema, M., Arízaga, F., Aguirre, M., & García, A. (2024). Impacto de la inteligencia artificial en la educación, retos y oportunidades. Recimundo, 8(2), 24-34. https://doi.org/10.26820/recimundo/8.(2).abril.2024.24-34

Zekaj, R. (2023). AI Language Models as Educational Allies: Enhancing Instructional Support in Higher Education. International Journal of Learning, Teaching and Educational Research, 22(8), 120-134. https://doi.org/10.26803/IJLTER.22.8.7

Zhao, Z. (2023). A New Cloud Computing-Based Assessment of Issues in Online Teaching Management in the Post-Epidemic Era of COVID-19. International Journal on Recent and Innovation Trends in Computing and Communication, 11(6s), 138-151. https://doi.org/10.17762/ijritcc.v11i6s.6817

Zhou, Y., & Xia, X. (2024). Application of AI Interaction Design in the Teaching Model of Landscape Topics Course. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns.2023.2.01486