O papel da inteligência artificial no desenvolvimento de métodos e abordagens inovadores no domínio da educação

Victoriya Nichyshyna; Oleksandr Bordiuk; Tetiana Slaboshevska; Kateryna Heseleva; Liudmyla Tkachenko

doi:10.22633/rpge.v27iesp.2.18784

Autores/as

Victoriya Nichyshyna Central Ukrainian State University named after Volodymyr Vinnichenko https://orcid.org/0000-0003-3771-1589
Oleksandr Bordiuk Ukrainian State Dragomanov University https://orcid.org/0000-0003-0729-2571
Tetiana Slaboshevska Ukrainian State Dragomanov University https://orcid.org/0000-0002-8468-4950
Kateryna Heseleva Kamianets-Podіlskyi Ivan Ohiienko National University https://orcid.org/0009-0009-2619-5604
Liudmyla Tkachenko Ukrainian State Dragomanov University https://orcid.org/0000-0003-3491-5535

DOI:

https://doi.org/10.22633/rpge.v27iesp.2.18784

Palabras clave:

Inteligencia artificial, Innovaciones educativas, TIC, Paradigma educativo

Resumen

El propósito del artículo es analizar el discurso científico y educativo sobre la conveniencia de utilizar la inteligencia artificial en el proceso educativo. Se han estudiado unos 50 artículos científicos dedicados a diversos elementos de la IA en el sistema educativo y estructurados en dos grandes grupos: objetivo y funcional. La metodología de la investigación se basa en el análisis científico general y en enfoques metodológicos filosóficos y sinérgicos. Los resultados del estudio indican la actualización de la IA en el sistema educativo y el predominio del aspecto funcional del uso de esta herramienta en la dimensión práctica y pragmática del proceso educativo. Así, la funcionalidad de las herramientas de IA no suscita objeciones en la comunidad científica y educativa. La situación es diferente con el posicionamiento de la inteligencia artificial en la dimensión intuitiva y dirigida de la educación.

Descargas

Los datos de descargas todavía no están disponibles.

Biografía del autor/a

Victoriya Nichyshyna, Central Ukrainian State University named after Volodymyr Vinnichenko

Associate Professor of the Department of Mathematics and Digital Technologies, Faculty of Mathematics. Natural Sciences and Technologies. PhD in Pedagogy. Researcher ID: IAM-7845-2023

Oleksandr Bordiuk, Ukrainian State Dragomanov University

Assistant professor. Department of Information Systems and Technologies. Faculty of Technologies and Design. PhD in Pedagogy. Researcher ID: JCO-1342-2023.

Tetiana Slaboshevska, Ukrainian State Dragomanov University

Associate Professor. Department of Information Systems and Technologies. Faculty of technologies and design. PhD in Pedagogy. Researcher ID: GLN-3420-2022.

Kateryna Heseleva, Kamianets-Podіlskyi Ivan Ohiienko National University

Senior Teacher. Department of Mathematics, Faculty of Physics and Mathematics. PhD in Physics and Mathematics.

Liudmyla Tkachenko, Ukrainian State Dragomanov University

Associate Professor.

Citas

AL HASHIMI, S.; AL MUWALI, A.; ZAKI, Y.; MAHDI, N. The Effectiveness of Social Media and Multimedia-Based Pedagogy in Enhancing Creativity among Art, Design, and Digital Media Students. International Journal of Emerging Technologies in Learning, [S. l.], v. 14, n. 21, p. 176–190, 2019. Available at: https://www.learntechlib.org/p/217207/.

ALAM, A. A Digital Game based Learning Approach for Effective Curriculum Transaction for Teaching-Learning of Artificial Intelligence and Machine Learning. In: INTERNATIONAL CONFERENCE ON SUSTAINABLE COMPUTING AND DATA COMMUNICATION SYSTEMS, 2022. Proceedings […]. Erode, India: [s. n.], 2022. p. 69–74. DOI: 10.1109/ICSCDS53736.2022.9760932.

BEARMAN, M.; RYAN, J.; AJJAWI, R. Discourses of artificial intelligence in higher education: a critical literature review. Higher Education, [S. l.], v. 86, p. 369–385, 2023. DOI: 10.1007/s10734-022-00937-2.

BOZKURT, A.; KARADENIZ, A.; BANERES, D.; GUERRERO-ROLDÁN, A. E.; RODRÍGUEZ, M. E. Artificial Intelligence and Reflections from Educational Landscape: A Review of AI Studies in Half a Century. Sustainability, [S. l.], v. 13, 2021. DOI: 10.3390/su13020800.

CELIK, I. Towards Intelligent-TPACK: An empirical study on teachers’ professional knowledge to ethically integrate artificial intelligence (AI)-based tools into education. Computers in Human Behavior, [S. l.], v. 138, 2023. DOI: 10.1016/j.chb.2022.107468.

CHEN, Y.; JENSEN, S.; ALBERT, L.; LEE, T. Artificial Intelligence (AI) Student Assistants in the Classroom: Designing Chatbots to Support Student Success. Information Systems Frontiers, [S. l.], v. 25, p. 161–182, 2023. DOI: 10.1007/s10796-022-10291-4.

CHIU, T.; XIA, Q.; ZHOU, X.; SING CHAI, C.; CHENG, M. Systematic literature review on opportunities, challenges, and future research recommendations of artificial intelligence in education. Computers and Education: Artificial Intelligence, [S. l.], v. 4, 2023. DOI: 10.1016/j.caeai.2022.100118.

CHOI, S.; JANG, Y.; KIM, H. Influence of Pedagogical Beliefs and Perceived Trust on Teachers’ Acceptance of Educational Artificial Intelligence Tools. International Journal of Human–Computer Interaction, [S. l.], v. 39, n. 4, p. 910–922, 2023. DOI: 10.1080/10447318.2022.2049145.

CLANCEY, W.; HOFFMAN, R. Methods and standards for research on explainable artificial intelligence: Lessons from intelligent tutoring systems. Applied AI Letters, [S. l.], v. 2, n. 4, 2021. DOI: 10.1002/ail2.53.

COPE, B.; KALANTZIS, M.; SEARSMITH, D. Artificial intelligence for education: Knowledge and its assessment in AI-enabled learning ecologies. Educational Philosophy and Theory, [S. l.], v. 53, n. 12, 2021. DOI: 10.1080/00131857.2020.1728732.

COOPER, G. Examining Science Education in ChatGPT: An Exploratory Study of Generative Artificial Intelligence. Journal of Science Education and Technology, [S. l.], v. 32, p. 444–452, 2023 DOI: 10.1007/s10956-023-10039-y.

DAI, C.-P.; KE, F. Educational applications of artificial intelligence in simulation-based learning: A systematic mapping review. Computers and Education: Artificial Intelligence, [S. l.], v. 3, 2022. DOI: 10.1016/j.caeai.2022.100087.

DAVY, T.; WANYING, L.; CHAN, H.; CHU, S. Using digital story writing as a pedagogy to develop AI literacy among primary students. Computers and Education: Artificial Intelligence, [S. l.], v. 3, 2022. DOI: 10.1016/j.caeai.2022.100054.

DIYER, O.; ACHTAICH, N.; NAJIB, K. Artificial Intelligence in Learning Skills Assessment: A Pedagogical Innovation. In: INTERNATIONAL CONFERENCE ON NETWORKING, INFORMATION SYSTEMS & SECURITY, 3., 2020. Proceedings […]. New York, , USA: [s. n.], 2020. p. 1–5. DOI: 10.1145/3386723.3387901.

GONZÁLEZ-CALATAYUD, V.; PRENDES-ESPINOSA, P.; ROIG-VILA, R. Artificial Intelligence for Student Assessment: A Systematic Review. Applied Sciences, [S. l.], v. 11, n. 12, 2021. DOI: 10.3390/app11125467.

GUAN, C.; MOU, J.; JIANG, Z. Artificial intelligence innovation in education: A twenty-year data-driven historical analysis. International Journal of Innovation Studies, [S. l.], v. 4, n. 4, p. 134–147, 2020. DOI: 10.1016/j.ijis.2020.09.001.

HODGSON, D.; GOLDINGAY, S.; BODDY, J.; NIPPERESS, S.; WATTS, L. Problematising Artificial Intelligence in Social Work Education: Challenges, Issues and Possibilities. The British Journal of Social Work, [S. l.], v. 52, n. 4, p. 1878–1895, 2022. DOI: 10.1093/bjsw/bcab168.

HOW, M.; HUNG, W. Educational Stakeholders’ Independent Evaluation of an Artificial Intelligence-Enabled Adaptive Learning System Using Bayesian Network Predictive Simulations. Education Sciences, [S. l.], v. 9, n. 2, 2019. DOI: 10.3390/educsci9020110.

HUMENIUK, T.; ROMANIUK, P. On the development of information and communication technologies in education of the future: the possibilities of cloud computing technology. Futurity Education, [S. l.], v. 3, n. 1, p. 32–41, 2023. DOI: 10.57125/FED.2023.25.03.03.

KEIPER, M. ChatGPT in practice: Increasing event planning efficiency through artificial intelligence. Journal of Hospitality, Leisure, Sport & Tourism Education, [S. l.], v. 33, 2023. DOI: 10.1016/j.jhlste.2023.100454.

KOCHMAR, E.; VU, D.; BELFER, R.; PINEAU, J. Automated Data-Driven Generation of Personalized Pedagogical Interventions in Intelligent Tutoring Systems. International Journal of Artificial Intelligence in Education, [S. l.], v. 32, p. 323–349, 2022. DOI: 10.1007/s40593-021-00267-x.

KONIARI, D., RAFTOULIS, G. Digital competence and school leadership in Greece. Futurity Education, [S. l.], v. 3, n. 2, p. 144–155, 2023. DOI: 10.57125/FED.2023.06.25.10.

KRYVOSHEIN, V.; VDOVENKO, N.; BURIAK, I.; SAIENKO, V.; KOLESNYK, A. Innovative educational technologies in management training: experience of EU countries. International Journal of Computer Science and Network Security, [S. l.], v. 22, n. 6, pp. 45–50, 2022. DOI: 10.22937/IJCSNS.2022.22.6.8.

LAMERAS, P.; ARNAB, S. Power to the Teachers: An Exploratory Review on Artificial Intelligence in Education. Information, [S. l.], v. 13, n. 1, 2022. DOI: 10.3390/info13010014.

LAUPICHLER, M.; ASTER, A.; SCHIRCH, J.; RAUPACH, T. Artificial intelligence literacy in higher and adult education: A scoping literature review. Computers and Education: Artificial Intelligence, [S. l.], v. 3, 2022. DOI: 10.1016/j.caeai.2022.100101.

LEWIS, A.; STOYANOVICH, J. Teaching Responsible Data Science: Charting New Pedagogical Territory. International Journal of Artificial Intelligence in Education, [S. l.], v. 32, p. 783–807, 2022. DOI: 10.1007/s40593-021-00241-7.

LOFTUS M.; MADDEN M. A pedagogy of data and Artificial Intelligence for student subjectification. Teaching in Higher Education, [S. l.], v. 25, n. 4, pp. 456–475, 2020. DOI: 10.1080/13562517.2020.1748593.

LORENZO, N.; GALLON, R. Smart Pedagogy for Smart Learning. In: DANIELA, L. (org.). Didactics of Smart Pedagogy. 2019. DOI: 10.1007/978-3-030-01551-0_3.

MARKHAM, A. Taking Data Literacy to the Streets: Critical Pedagogy in the Public Sphere. Qualitative Inquiry, [S. l.], v. 26, p. 227–237, 2020. DOI: 10.1177/1077800419859024.

MARTINS, R.; VON WANGENHEIM, С. Findings on Teaching Machine Learning in High School: A Ten - Year Systematic Literature Review. Informatics in Education, [S. l.], v. 22, n. 3, p. 421–440, 2023. DOI: 10.15388/infedu.2023.18.

MURAINA, I. Resolving Misconception Challenges in the Teaching and Learning of Computer Science Amongst First-Year Undergraduate Students. Futurity Education, [S. l.], v. 3, n. 3, p. 151–164, 2023. DOI: 10.57125/FED.2023.09.25.08.

RAJI, I.; SCHEUERMAN, M.; AMIRONESEI, R. You Can't Sit With Us: Exclusionary Pedagogy in AI Ethics Education. In: CONFERENCE ON FAIRNESS, ACCOUNTABILITY, AND TRANSPARENCY, 2021. Proceedings […]. New York, USA: [s. n.], 2021. p. 515–525. DOI: 10.1145/3442188.3445914.

SADOVYI, M.; TERENKO, O.; FILIMONOVA, T.; MALANCHUK, S.; VOVKOCHYN, L.; PASLAWSKA, A.; OROS, І. The Use of Information and Communication Technologies in Education of Students' Civic Responsibility. International journal of computer science and network security, [S. l.], v. 22, n. 7, p. 213–219, 2022. DOI: 10.22937/IJCSNS.2022.22.7.26.

SALTMAN, K. Artificial intelligence and the technological turn of public education privatization: In defence of democratic education. London Review of Education, [S. l.], v. 18, n. 2, p. 196–208, 2020. DOI: 10.14324/LRE.18.2.04.

SANUSI, T.; OYELERE, S. Pedagogies of Machine Learning in K-12 Context. In: 2020 IEEE Frontiers in Education Conference, Uppsala, Sweden, 2020. p. 1–8. DOI: 10.1109/FIE44824.2020.9274129.

SCHIFF, D. Out of the laboratory and into the classroom: the future of artificial intelligence in education. AI & Society, v. 36, 2021. DOI: 10.1007/s00146-020-01033-8.

SEREDA, І. Blended learning implementation during training the teachers of special education in the conditions of quarantine. Information Technologies and Learning Tools, [S. l.], v. 88, n. 2, p. 239–254, 2022. DOI: 10.33407/itlt.v88i2.4532.

SHALINI, G.; SHIPRA, S. Impact of Artificial Intelligence in Special Need Education to Promote Inclusive Pedagogy. International Journal of Information and Education Technology, [S. l.], v. 10, n. 7, 2020. DOI: 10.18178/ijiet.2020.10.7.1418.

SONG, P.; WANG, X. A bibliometric analysis of worldwide educational artificial intelligence research development in recent twenty years. Asia Pacific Education Review, [S. l.], v. 21, p. 473–486, 2020. DOI: 10.1007/s12564-020-09640-2.

TEDRE, M.; TOIVONEN, T.; KAHILA, J.; VARTIAINEN, H.; VALTONEN, T.; JORMANAINEN, I.; PEARS, A. Teaching Machine Learning in K–12 Classroom: Pedagogical and Technological Trajectories for Artificial Intelligence Education. IEEE Access, [S. l.], v. 9, p. 110558–110572, 2021. DOI: 10.1109/ACCESS.2021.3097962.

VAN DER NIET, A.; BLEAKLEY, A. Where medical education meets artificial intelligence: ‘Does technology care? Medical Educational, [S. l.], v. 55, p. 30–36, 2020. DOI: 10.1111/medu.14131.

VASYLYUK-ZAITSEVA, S.; KOSENYUK, H.; TANASIICHUK, I.; BOYKO, J. Application of artificial intelligence in Ukrainian education of the future. Futurity Education, [S. l.], v. 3, n. 3, p. 77–103, 2023. DOI: 10.57125/FED.2023.09.25.05.

VÁZQUEZ-CANO, E. Artificial intelligence and education: A pedagogical challenge for the 21st century. Educational Process: International Journal (EDUPIJ), [S. l.], v. 3, p. 7–12, 2021. DOI: 10.22521/edupij.2021.103.1.

VOROPAYEVA, T.; JÄRVIS, M.; BOIKO, S.; TOLCHIEVA, H.; STATSENKO, N. European experience in implementing innovative educational technologies in the training of management specialists: current problems and prospects for improvement. IJCSNS International Journal of Computer Science and Network Security, [S. l.], v. 22, n. 7, p. 294–300, 2022. DOI: 10.22937/IJCSNS.2022.22.7.35.

XU, J.; BABAIAN, T. Artificial intelligence in business curriculum: The pedagogy and learning outcomes. The International Journal of Management Education, [S. l.], v. 19, n. 3, 2021. DOI: 10.1016/j.ijme.2021.100550.

ZAWACKI-RICHTER, O.; MARÍN, V.; BOND, M.; GOUVERNEUR, F. Systematic review of research on artificial intelligence applications in higher education – where are the educators? International Journal of Educational Technology in Higher Education, [S. l.], v. 16, n. 39, 2019. DOI: 10.1186/s41239-019-0171-0.

ZHAI, X.; CHU, X.; SING CHAI, C.; YUNG JONG, M.; ISTENIC, A.; SPECTOR, M.; LIU, B.; YUAN, J.; LI, Y. A Review of Artificial Intelligence (AI) in Education from 2010 to 2020. Hindawi Complexity, [S. l.], 2021. DOI: 10.1155/2021/8812542.