A systematic review of studies on AI: Approaches from the perspective of students

Authors

DOI:

https://doi.org/10.31637/epsir-2025-1704

Keywords:

artificial intelligence, generative artificial intelligence, higher education, opinions, scientific production, students, systematic review, training

Abstract

Introduction: This paper presents a systematic review of studies published in 2023, focusing on students' opinions about Artificial Intelligence (AI). Methodology: The PRISMA 2020 statement for systematic reviews and meta-analyses was used. Results: By applying eligibility criteria, 34 articles were selected for in-depth review. A prevalence of exploratory and exploratory-descriptive studies was identified, using scale questionnaires to measure students' perceptions, knowledge, or attitudes to AI. Discussion: The rapid development in this research area is evident, particularly concerning perception and knowledge variables. Students perceive AI positively, believing it will enhance their academic performance, learning, and future professional endeavors. However, students' actual knowledge about AI needs strengthening from a more academic perspective. Conclusions: This research field has shown significant progress in a short period, yet attitudes warrant greater attention, as they can provide valuable insights into potential barriers and opportunities for AI integration.

Downloads

Download data is not yet available.

Author Biographies

Mónica Leticia López Chacón, Autonomous University of Baja California

PhD. in Education from Centro Universitario de Tijuana, Mexico. She has been recognized as a PRODEP desirable profile professor by the Ministry of Public Education. Specialist in digital culture and distance education. Currently, she coordinates the Bachelor's Degree Program in Education Sciences at the Faculty of Human Sciences of the Autonomous University of Baja California (UABC).

Juan Carlos Castellanos Ramírez, Autonomous University of Baja California

PhD. in Educational Psychology from the University of Barcelona, Spain. Full Time Researcher at the Faculty of Human Sciences of the Autonomous University of Baja California (UABC). Member of the National System of Researchers and Researchers and of the Academic Body “Education Supported by Information, Communication and Collaboration Technologies”. Coordinator of the Doctorate in Educational Technology offered by the UABC.

Shamaly Alhelí Niño Carrasco, Universidad Autónoma de Baja California

PhD. in Educational Psychology from the University of Barcelona, Spain. Full-Time Researcher at the Faculty of Human Sciences of the Autonomous University of Baja California. Member of the National System of Researchers. Member of the Mexican Thematic Network for the Development and Incorporation of Educational Technology -Red LaTE Mexico- and of the Academic Body “Education Supported by Information, Communication and Collaboration Technologies”.

Karla Lariza Parra Encinas, Universidad Autónoma de Baja California

PhD. in Education from Centro Universitario de Tijuana. She belongs to the Academic Body “Education Supported by Information, Communication and Collaboration Technologies”. Desirable PRODEP profile and member of the National System of Researchers. Specialist in online education and leadership for digital transformation.

References

Ahmad, M., Abdallah, S., Abbasi, S. y Abdallah, A. (2023). Student perspectives on the integration of artificial intelligence into healthcare services. Digital Health, 9, 1-12. https://doi.org/10.1177/20552076231174095 DOI: https://doi.org/10.1177/20552076231174095

Al-Qerem, W., Eberhardt, J., Jarab, A., Al-Bawab, A., Hammad, A., Alasmari, F., Alazab, B., Husein, D., Alazab, J. y Al-Beool, S. (2023). Exploring knowledge, attitudes, and practices towards artificial intelligence among health professions' students in Jordan. BMC Medical Informatics and Decision Making, 23(288), 1-7. https://doi.org/10.1186/s12911-023-02403-0 DOI: https://doi.org/10.1186/s12911-023-02403-0

Al-Zahrani, A. M. (2023). The impact of generative AI tools on researchers and research: Implications for academia in higher education. Innovations in Education and Teaching International, 60, 1-15. https://doi.org/10.1080/14703297.2023.2271445 DOI: https://doi.org/10.1080/14703297.2023.2271445

Alcántara, A. (2023). La inteligencia artificial y sus implicaciones en educación. Perfiles Educativos, 45, 5-8. https://doi.org/10.22201/iisue.24486167e.2023.Especial.61687 DOI: https://doi.org/10.22201/iisue.24486167e.2023.Especial.61687

Almaraz, C., Almaraz, F. y López, C. (2023). Comparative Study of the Attitudes and Perceptions of University Students in Business Administration and Management and in Education toward Artificial Intelligence. Education Sciences, 13(6), 1-14. https://doi.org/10.3390/educsci13060609 DOI: https://doi.org/10.3390/educsci13060609

Barreiro, A., Morales, A., Sendra, F. y Souto, M. (2023). Impact of the Rise of Artificial Intelligence in Radiology: What Do Students Think? International Journal of Environmental Research and Public Health, 20(2), 1-11. https://www.mdpi.com/1660-4601/20/2/1589 DOI: https://doi.org/10.3390/ijerph20021589

Bewersdorff, A., Zhai, X., Roberts, J. y Nerdel, C. (2023). Myths, mis-and preconceptions of artificial intelligence: A review of the literature. Computers and Education: Artificial Intelligence, 4, 1-11. https://doi.org/10.1016/j.caeai.2023.100143 DOI: https://doi.org/10.1016/j.caeai.2023.100143

Carrión, W., Bravo, V., Yánez, M. y Beltrán, C. (2022). Aplicaciones de la inteligencia artificial en la preservación de la originalidad y la integridad académica en estudiantes universitarios. Journal of Science and Research, 7(2), 179-200. https://revistas.utb.edu.ec/index.php/sr/article/view/2937

Chan, C. (2023). A comprehensive AI policy education framework for university teaching and learning. International Journal of Educational Technology in Higher Education, 20(38), 1-25. https://doi.org/10.1186/s41239-023-00408-3 DOI: https://doi.org/10.1186/s41239-023-00408-3

Chan, C. y Hu, W. (2023). Students’ voices on generative AI: Perceptions, benefits, and challenges in higher education. International Journal of Educational Technology in Higher Education, 20(43), 1-18. https://doi.org/10.1186/s41239-023-00411-8 DOI: https://doi.org/10.1186/s41239-023-00411-8

Choudhary, A., Jaral, S., Malik, A., Kaul, R. y Sharma, A. (2023). Assessment of knowledge and awareness of artificial intelligence and its uses in dentistry among dental students in Jammu and Kashmir: a questionnaire based survey. Indian Journal of Conservative and Endodontics, 8(4), 210-214. https://doi.org/10.18231/j.ijce.2023.040 DOI: https://doi.org/10.18231/j.ijce.2023.040

Dakami, D. y Safa, N. (2023). Artificial intelligence in the L2 classroom: Implications and challenges on ethics and equity in higher education: A 21st century Pandora’s box. Computers & Education: Artificial Intelligence, 5, 1-10. https://doi.org/10.1016/j.caeai.2023.100179 DOI: https://doi.org/10.1016/j.caeai.2023.100179

Dashti, M., Londono, J., Ghasemi, S., Khurshid, Z., Khosraviani, F., Moghaddasi, N., Zafar M. y Hefzi D. (2024). Attitudes, knowledge, and perceptions of dentists and dental students toward artificial intelligence: a systematic review. Journal of Taibah University Medical Sciences, 19(2), 327-337. https://doi.org/10.1016/j.jtumed.2023.12.010 DOI: https://doi.org/10.1016/j.jtumed.2023.12.010

Díaz, D. (2023). Plagio a la Inteligencia Artificial en estudiantes de bachillerato: un problema real. Revista Innova Educación, 5(2), 108-116. https://revistainnovaeducacion.com/index.php/rie/article/view/845 DOI: https://doi.org/10.35622/j.rie.2023.02.007

Díaz, V. y Calzadilla, A. (2016). Artículos científicos, tipos de investigación y productividad científica en las ciencias de la salud. Revista Ciencias de la Salud, 14(1), 115-121. https://doi.org/10.12804/revsalud14.01.2016.10 DOI: https://doi.org/10.12804/revsalud14.01.2016.10

Fayaz, S., Han, H., Alam, M., Rehmat, M., Irshad, M., Arraño, M. y Araiza, A. (2023). Impacto de la inteligencia artificial en la pérdida humana en la toma de decisiones, la pereza y la seguridad en la educación. Humanities and Social Sciences Communications, 10(311), 1-14. https://doi.org/10.1057/s41599-023-01787-8 DOI: https://doi.org/10.1057/s41599-023-01787-8

Firat, M. (2023). ChatGPT means for universities: Perceptions of scholars and students. Journal of Applied Learning and Teaching, 6(1), 57-63. https://doi.org/10.37074/jalt.2023.6.1.22 DOI: https://doi.org/10.37074/jalt.2023.6.1.22

García, O. (2023). Uso y percepción de ChatGPT en la educación superior. Revista de Investigación en Tecnologías de la Información, 11(23), 98-107. https://doi.org/10.36825/RITI.11.23.009 DOI: https://doi.org/10.36825/RITI.11.23.009

Guárdia, L., Bekerman, Z. y Zapata, M. (2024). Presentación del número especial “IA generativa, ChatGPT y educación. Consecuencias para el aprendizaje inteligente y la evaluación educativa”. Revista de Educación a Distancia, 24(78), 1-19. https://doi.org/10.6018/red.609801 DOI: https://doi.org/10.6018/red.609801

Holmes, W., Iniesto, F., Anastopoulou, S. y Boticario, J. (2023). Stakeholder Perspectives on the Ethics of AI in Distance-Based Higher Education. International Review of Research in Open and Distributed Learning, 24(2), 96-117. https://doi.org/10.19173/irrodl.v24i2.6089 DOI: https://doi.org/10.19173/irrodl.v24i2.6089

Ibrahim, H., Liu, F., Asim, R., Battu, B., Benabderrahmane, S., Alhafni, B., Adnan, W., Alhanai, T., Alshebli, B., Baghdadi, R., Bélanger, J., Beretta, E., Celik, K., Chaqfeh, M., Daqaq, M., Bernoussi, Z., Fougnie, D., Garcia de Soto, B., Gandolfi, A., Gyorgy, A., … y Zaki, Y. (2023). Perception, performance, and detectability of conversational artificial intelligence across 32 university courses. Scientific Representative, 13, 1-13. https://doi.org/10.1038/s41598-023-38964-3 DOI: https://doi.org/10.1038/s41598-023-38964-3

Idroes, G., Noviandy, T., Maulana, A., Irvanizam, I., Jalil, Z., Lensoni, L., Lala, A., Abas, A., Tallei, T. e Idroes, R. (2023). Student Perspectives on the Role of Artificial Intelligence in Education: A Survey-Based Analysis. Journal of Educational Management and Learning, 1(1), 8-15. https://doi.org/10.60084/jeml.v1i1.58 DOI: https://doi.org/10.60084/jeml.v1i1.58

Iris, B. y Hannah, A. (2023). A study of the perception of students and instructors on the usage of Artificial Intelligence in education. International Journal of Higher Education Management, 9(2), 66-73. https://doi.org/10.24052/IJHEM/V09N02/ART-6 DOI: https://doi.org/10.24052/IJHEM/V09N02/ART-6

Malik, A., Pratiwi, Y., Andajani, K., Numertayasa, I., Suharti, S., Darwis, A. y Marzuki. (2023). Explorando la inteligencia artificial en ensayos académicos: perspectiva de los estudiantes de educación superior. International Journal of Educational Research Open, 5(100296), 1-11. https://doi.org/10.1016/j.ijedro.2023.100296 DOI: https://doi.org/10.1016/j.ijedro.2023.100296

Martínez, I., Batanero, J., Cerero, J. y León, S. P. (2023). Analyzing the impact of artificial intelligence and computational sciences on student performance: Systematic review and meta-analysis. Journal of New Approaches in Educational Research, 12(1), 171-197. https://doi.org/10.7821/naer.2023.1.1240 DOI: https://doi.org/10.7821/naer.2023.1.1240

Mora, B., Aroca, C., Tiban, L., Sánchez, C. y Jiménez, A. (2023). Ética y Responsabilidad en la Implementación de la Inteligencia Artificial en la Educación. Ciencia Latina Revista Científica Multidisciplinar, 7(6), 2054-2076. https://doi.org/10.37811/cl_rcm.v7i6.8833 DOI: https://doi.org/10.37811/cl_rcm.v7i6.8833

Mosleh, R., Jarrar, Q., Jarrar, Y., Tazkarji, M. y Hawash, M. (2023). Medicine and Pharmacy Students’ Knowledge, Attitudes, and Practice regarding Artificial Intelligence Programs: Jordan and West Bank of Palestine. Advanced Medical Education Practice, 14, 1391-1400. https://doi.org/10.2147/AMEP.S433255 DOI: https://doi.org/10.2147/AMEP.S433255

Mousavi, S., Sarbaz, M., Ghaddaripouri, K., Ghaddaripouri, M., Mousavi, A. y Kimiafar, K. (2023). Attitudes, knowledge, and skills towards artificial intelligence among healthcare students: A systematic review. Health Science Reports, 6(3), 1-23. https://doi.org/10.1002/hsr2.1138 DOI: https://doi.org/10.1002/hsr2.1138

Oluwadiya, K., Adeoti, A., Agodirin, S., Nottidge, T., Usman, M., Gali, M., Onyemaechi, N., Ramat, A., Adedire, A. y Zakari, L. (2023). Exploring artificial intelligence in the Nigerian medical educational space: An online cross-sectional study of perceptions, risks and benefits among students and lecturers from ten universities. Nigerian posgraduate Medical Journal, 30(4), 285-292. https://doi.org/10.4103/npmj.npmj_186_23 DOI: https://doi.org/10.4103/npmj.npmj_186_23

Pacheco, S., Guevara, C., Mayorga, A. y Fernández, J. (2023). Artificial Intelligence in Higher Education: A Predictive Model for Academic Performance. Education Sciences, 13(10), 1-17. https://doi.org/10.3390/educsci13100990 DOI: https://doi.org/10.3390/educsci13100990

Page, M., McKenzie, J., Bossuyt, P., Boutron, I., Hoffmann, T., Mulrow, C., Shamseer, L., Tetzlaff, J., Akl, A., Brennan, E., Chou, R., Glanville, J., Grimshaw, J., Hróbjartsson, A., Lalu, M., Li, T., Loder, E., Mayo-Wilson, E., McDonald, S., McGuinness, L., … Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. International Journal of Surgery, 88, 1-9. https://doi.org/10.1016/j.ijsu.2021.105906 DOI: https://doi.org/10.1016/j.ijsu.2021.105906

Rodway, P. y Schepman, A. (2023). The impact of adopting AI educational technologies on projected course satisfaction in university students. Computers and Education: Artificial Intelligence, 5, 1-12. https://doi.org/10.1016/j.caeai.2023.100150 DOI: https://doi.org/10.1016/j.caeai.2023.100150

Ruiz, D., De la Cruz, J., García, N., Calderón, R. y Marín, W. (2023). Artificial intelligence and its impact on job opportunities among university students in North Lima, 2023. EAI Endorsed Transactions on Scalable Information Systems, 10(5), 1-8. https://doi.org/10.4108/eetsis.3841 DOI: https://doi.org/10.4108/eetsis.3841

Salas, M., Ábrego, D. y Mendoza, J. (2021). Intención, actitud y uso real del e-commerce. Investigación Administrativa, 50(127), 153-173. https://doi.org/10.35426/iav50n127.03 DOI: https://doi.org/10.35426/IAv50n127.03

Sallam, M., Salim, N., Barakat, M., Al-Mahzoum, K., Al-Tammemi, A., Malaeb, D., Hallit, R. y Hallit, S. (2023). Assessing Health Students' Attitudes and Usage of ChatGPT in Jordan: Validation Study. JMIR Medical Education, 9, 1-15. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10509747/ DOI: https://doi.org/10.2196/48254

Segovia, N. (2023). Percepción y uso de los chatbots entre estudiantes de posgrado online: Un estudio exploratorio. Revista de Investigación en Educación, 21(3), 335-349. https://doi.org/10.35869/reined.v21i3.4974 DOI: https://doi.org/10.35869/reined.v21i3.4974

Sharma, V., Saini, U., Pareek, V., Sharma, L. y Kumar, S. (2023). Artificial intelligence (AI) integration in medical education: A pan-India cross-sectional observation of acceptance and understanding among students. Scripta Medica, 54(4), 343-352. https://doi.org/10.5937/scriptamed54-46267 DOI: https://doi.org/10.5937/scriptamed54-46267

Stewart, J., Lu, J., Gahungu, N., Goudie, A., Fegan, P., Bennamoun, M., Sprivulis, P. y Dwivedi, G. (2023). Western Australian medical students’ attitudes towards artificial intelligence in healthcare. Plos One, 18(8), 1-14. https://doi.org/10.1371/journal.pone.0290642 DOI: https://doi.org/10.1371/journal.pone.0290642

Strzelecki, A. (2023). Students’ acceptance of ChatGPT in higher education: An extended unified theory of acceptance and use of technology. Innovative Higher Education, 49(2), 223-245. https://doi.org/10.1007/s10755-023-09686-1 DOI: https://doi.org/10.1007/s10755-023-09686-1

Suconota, L., Sánchez, R., Orellana, C. y Ávila, W. (2023). Inteligencia artificial y sostenibilidad: El compromiso de una Institución de educación superior. Magazine de las Ciencias: Revista de investigación e Innovación, 8(4), 12-28. https://doi.org/10.33262/rmc.v8i4.2954 DOI: https://doi.org/10.33262/rmc.v8i4.2954

Tinoco, C. (2023). Empleo de la inteligencia artificial en la educación universitaria: una revisión sistemática. Paideia XXI, 13(2), 359-375. https://doi.org/10.31381/paideiaxxi.v13i2.6002 DOI: https://doi.org/10.31381/paideiaxxi.v13i2.6002

Valencia, A., Gómez, S., Vélez, R. y Cardona, S. (2023). Intención de uso de aprendizaje móvil (m-learning) en programas virtuales: un modelo híbrido de aceptación tecnológica (TAM) y la teoría del comportamiento planificado (TPB). Formación Universitaria, 16(2), 25-34. http://dx.doi.org/10.4067/S0718-50062023000200025 DOI: https://doi.org/10.4067/S0718-50062023000200025

Ying, Z. (2023). The Application and Reflection of Chatgpt on English Teaching and Learning. Kurdish Studies, 11(2), 1670-1688. https://kurdishstudies.net/menu-script/index.php/KS/article/view/728

Zamora, Y. y Mendoza, M. del C. (2023). La Inteligencia artificial y el futuro de la educación superior: desafíos y oportunidades. Horizontes Pedagógicos, 25(1), 1-13. https://doi.org/10.33881/0123-8264.hop.25101 DOI: https://doi.org/10.33881/0123-8264.hop.25101

Zhang, C., Schießl, J., Plößl, L., Hofmann, F. y Glaser, M. (2023). Acceptance of artificial intelligence among pre-service teachers: a multigroup analysis. International Journal of Educational Technology in Higher Education, 20(49), 1-22. https://doi.org/10.1186/s41239-023-00420-7 DOI: https://doi.org/10.1186/s41239-023-00420-7

Zou, M. y Huang, L. (2023). To use or not to use? Understanding doctoral students’ acceptance of ChatGPT in writing through technology acceptance model. Frontiers in Psychology, 14, 1-9. https://doi.org/10.3389/fpsyg.2023.1259531 DOI: https://doi.org/10.3389/fpsyg.2023.1259531

Published

2025-02-18

How to Cite

López Chacón, M. L., Castellanos Ramírez, J. C., Niño Carrasco, S. A., & Parra Encinas, K. L. (2025). A systematic review of studies on AI: Approaches from the perspective of students. European Public & Social Innovation Review, 10, 1–17. https://doi.org/10.31637/epsir-2025-1704

Issue

Section

Research and Artificial Intelligence