Predictors of Academic Performance through the Use Of Chatgpt in University Students
Keywords:
Efficiency of information acquisition, Creativity, Writing proficiency, Linguistic competence, Academic performance, SatisfactionAbstract
The importance that ChatGPT has acquired in the academic world of universities today is critical. The study proposes to validate some predictor variables, such as efficiency in acquiring information, creativity, writing competence, linguistic competence, academic performance, and satisfaction, to generate reliable and valid research instruments. The study was carried out in Peru with a sample of 400 university students of both sexes. Exploratory and confirmatory factor analysis tests were used. For this study, exploratory and confirmatory factor analyses were used. Thus, future research will be able to explore and fully comprehend ChatGPT's utility in various contexts and its impact on higher education.
References
Al-Hail, M. A., Al-Fagih, L., y Koç, M. (2021). Partnering for Sustainability: Parent-Teacher-School (PTS) Interactions in the Qatar Education System. Sustainability, 13(12), 6639. https://www.mdpi.com/2071-1050/13/12/6639
Aguilar, O. G., Apaza, F. T., y Huanca, S. C. (2022). Influencing factors in perceived learning mediated by satisfaction in university students in times of Covid-19 [Conference paper]. LACCEI international Multi-conference for Engineering, Education and Technology, 2022-July. https://doi.org/10.18687/LACCEI2022.1.1.586
Ahuja, A. S., Polascik, B. W., Doddapaneni, D., Byrnes, E. S., y Sridhar, J. (2023). The Digital Metaverse: Applications in Artificial Intelligence, Medical Education, and Integrative Health [Note]. Integrative Medicine Research, 12(1), Article 100917. https://doi.org/10.1016/j.imr.2022.100917
Avkiran, N. (2018). An in-depth discussion and illustration of partial least squares structural equation modeling in health care. Health Care Management Science, 21. https://doi.org/10.1007/s10729-017-9393-7
Bahrini, A., Khamoshifar, M., Abbasimehr, H., Riggs, R. J., Esmaeili, M., Majdabadkohne, R. M., y Pasehvar, M. (2023). ChatGPT: Applications, Opportunities, and Threats. 2023 Systems and Information Engineering Design Symposium, SIEDS 2023,
Bishop, L. (2023). A Computer Wrote This Paper: What ChatGPT Means for Education, Research, and Writing. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4338981
Boden, M. A. (2006). Mind as machine: A history of cognitive science 1. Oxford University Press.
Chávez-Uceda, T. (2023). Inteligencias Artificiales, Chat GPT y escritura académica en medicina: Artificial intelligences, Chat GPT and medical academic writing. Revista Médica de Trujillo, 18(1), 001-002.
Chen, Y., y He, Y. H. (2021). Information acquisition and provision in school choice: An experimental study. Journal of Economic Theory, 197, Article 105345. https://doi.org/10.1016/j.jet.2021.105345
Cooper, G. (2023). Examining Science Education in ChatGPT: An Exploratory Study of Generative Artificial Intelligence [Article]. Journal of Science Education and Technology, 32(3), 444-452. https://doi.org/10.1007/s10956-023-10039-y
Cotton, D. R. E., Cotton, P. A., y Shipway, J. R. (2023). Chatting and cheating: Ensuring academic integrity in the era of ChatGPT. Innovations in Education and Teaching International, 1-12. https://doi.org/10.1080/14703297.2023.2190148
Domínguez-Lara, S. A., y Merino-Soto, C. (2015). ¿ Por qué es importante reportar los intervalos de confianza del coeficiente alfa de Cronbach? Revista Latinoamericana de Ciencias Sociales, Niñez y Juventud, 13(2), 1326-1328.
Friederichs, H., Friederichs, W. J., y Marz, M. (2023). ChatGPT in medical school: how successful is AI in progress testing? Medical Education Online, 28(1), Article 2220920. https://doi.org/10.1080/10872981.2023.2220920
Esquivel-Grados, J., Venegas-Mejía, V. L., Venegas-Mejía, C.P., Gonzales-Benites, M.T., Bacón-Salazar, N., y Valdivia-Huaranga, H.A. (2023). Formative research: perceptions of communication science students at a peruvian university. Journal of Technology and Science Education, 13(2), 565-582. http://dx.doi.org/10.3926/jotse.1758
Gabashvili, I. S. (2023). The impact and applications of ChatGPT: a systematic review of literature reviews. arXiv preprint arXiv:2305.18086. https://doi.org/10.48550/arXiv.2305.18086
Hair, J., Hult, G. T. M., Ringle, C., y Sarstedt, M. (2014). A Primer on Partial Least Squares Structural Equation Modeling.
Hayes, A. F., y Coutts, J. J. (2020). Use Omega Rather than Cronbach’s Alpha for Estimating Reliability. But…. Communication Methods and Measures, 14(1), 1-24. https://doi.org/10.1080/19312458.2020.1718629
Henriksen, D., Woo, L. J., y Mishra, P. (2023). Creative Uses of ChatGPT for Education: a Conversation with Ethan Mollick [Note]. TechTrends. https://doi.org/10.1007/s11528-023-00862-w
Ingley, S. J., y Pack, A. (2023). Leveraging AI tools to develop the writer rather than the writing. Trends in Ecology & Evolution. https://doi.org/https://doi.org/10.1016/j.tree.2023.05.007
Koubaa, A., Boulila, W., Ghouti, L., Alzahem, A., y Latif, S. (2023). Exploring ChatGPT Capabilities and Limitations: A Critical Review of the NLP Game Changer. Preprints.
Lee, M. (2023). A Mathematical Investigation of Hallucination and Creativity in GPT Models [Article]. Mathematics, 11(10), Article 2320. https://doi.org/10.3390/math11102320
Marron, L. (2023). Exploring the potential of ChatGPT 3.5 in higher education: Benefits, limitations, and academic integrity. In Handbook of Research on Redesigning Teaching, Learning, and Assessment in the Digital Era (pp. 326-349). https://doi.org/10.4018/978-1-6684-8292-6.ch017
Montgomery-Vestecka, G., y Zhang, Y. B. (2023). Language Ideologies and Behavioral Attitudes Toward Ethnolinguistic Outgroups: Perceived Linguistic Competence and Intergroup Anxiety as Explanatory Variables. International Journal of Communication 17, 780-800. ://WOS:000989946400042
Mueller, R. O., y Hancock, G. R. (2001). Factor Analysis and Latent Structure, Confirmatory. In N. J. Smelser & P. B. Baltes (Eds.), International Encyclopedia of the Social & Behavioral Sciences (pp. 5239-5244). Pergamon. https://doi.org/https://doi.org/10.1016/B0-08-043076-7/00426-5
Pavlik, J. V. (2023). Collaborating With ChatGPT: Considering the Implications of Generative Artificial Intelligence for Journalism and Media Education [Article]. Journalism and Mass Communication Educator, 78(1), 84-93. https://doi.org/10.1177/10776958221149577
Ray, P. P. (2023). ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope. Internet of Things and Cyber-Physical Systems 3, 121-154. https://doi.org/https://doi.org/10.1016/j.iotcps.2023.04.003
Seo, H., Son, K., Park, S., y Choi, W. (2021). Communication-Efficient Private Information Acquisition: Multicasting via Crowding. Ieee Transactions on Vehicular Technology, 70(7), 7199-7204. https://doi.org/10.1109/tvt.2021.3083603
Su, Y., Lin, Y., y Lai, C. (2023). Collaborating with ChatGPT in argumentative writing classrooms. Assessing Writing 57, 100752. https://doi.org/https://doi.org/10.1016/j.asw.2023.100752
Uludag, K. (2023). Testing creativity of ChatGPT in psychology: Interview with ChatGPT. SSRN 4390872. https://doi.org/10.2139/ssrn.4390872
Vanaki, Z., y Hakim, A. (2023). Students' Satisfaction of Nursing Education: A Qualitative Study. Sage Open, 13(2), Article 21582440231169471. https://doi.org/10.1177/21582440231169471
Wang, Y. B., y Xu, J. (2023). A latent profile analysis of L2 writing emotions and their relations to writing buoyancy, motivation and proficiency. Applied Linguistics Review. https://doi.org/10.1515/applirev-2022-0080
Zhai, X. (2022). ChatGPT user experience: Implications for education. SSRN 4312418. https://doi.org/10.2139/ssrn.4312418
Zhou, Y., Yu, S. L., Liu, B. H., y Jiang, L. J. (2022). Examining the role of writing proficiency in students' feedback literacy development. Applied Linguistics Review. https://doi.org/10.1515/applirev-2021-0133
Zhu, J.-J., Jiang, J., Yang, M., y Ren, Z. J. (2023). ChatGPT and Environmental Research. Environmental Science & Technology. https://doi.org/10.1021/acs.est.3c01818
