Abstract
In this paper the results of conducted research as a prerequisite for a model developed in order to foster STEM competences of non-STEM students are presented and elaborated. To provide an effective teaching approach for non-STEM students a model that uses advanced artificial technology has been formed. In this model students learned about STEM subjects by using information technology paired with artificial intelligence (AI). More precisely, students boosted their literacy skills by writing a story to use as a scenario. This scenario had to be structured well-enough to be processed by algorithms based on AI that generated a video game based on a created scenario. This process was based on the gamification method with an aim to support strengthening four different competences: (1) literary competences, (2) writing in a foreign language, (3) coding and STEM skills, and (4) lifelong learning competences.
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References
Vuorikari, R., Kluzer, S., Punie, Y., DigComp 2.2: The Digital Competence Framework for Citizens, Publications Office of the European Union, Luxembourg (2022)
May, B.K., Wendt, J.L., Barthlow, M.J.: A comparison of students’ interest in STEM across science standard types. Soc. Sci. Human. Open 6, 100287 (2022)
Kampylis, P., Punie, Y., Devine, J.: Promoting Effective Digital-Age Learning - A European Framework for Digitally-Competent Educational Organisations; JRC Science for Policy Report EUR 27599 EN, European Commission (2015)
American Library Association and the Association for Educational Communications and Technology (1998). https://www.ala.org/ala/aasl/aaslproftools/informationpower/InformationLiteracyStandards_final.pdf
Jacobson, T., Mackey, T.P.: Proposing a metaliteracy model to redefine information literacy. Commun. Inform. Literacy 7(2), 84–91 (2013)
Banek Zorica, M., Spiranec, S., Ogrizek Biskupic, I.: What is the employers stand on information literacy – researching employers on expected generic outcomes of their future employees. In: Kurbanoğlu, S., Špiranec, S., Grassian, E., Mizrachi, D., Catts, R. (eds.) ECIL 2014. CCIS, vol. 492, pp. 673–682. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-14136-7_70
Spante, M., Sofkova Hashemi, S., Lundin, M., Algers, A.: Digital competence and digital literacy in higher education research: systematic review of concept use. Cogent Educ. 5(1), 1519143 (2018)
Fuchs, M., Fizek, S., Ruffino, P.: Rethinking Gamification. Hybrid Publishing Lab Meson press (2014)
´Oturai, G., Riener, C., Martiny, S. E.: Attitudes towards mathematics, achievement, and drop-out intentions among STEM and Non-STEM students in Norway. Int. J. Educ. Res. Open 4, 100230 (2023)
Freeman, S., Eddy, S.L., McDonough, M., Smith, M.K., Okoroafor, N., Jordt, H., Wenderoth, M.P.: Active learning increases student performance in science, engineering, and mathematics. Proc. Nat. Acad. Sci. 111(23), 8410–8415 (2014)
Sriphong, L.: Integration of case-based learning with blended learning in pharmaceutical analysis course. In: 11th International Conference on Information and Education Technology ICIET Fujisawa, Japan, pp. 272–231 (2023)
Trisnawawi, A.A., Wararat, W., Parames, L.: A hybrid board game for learning blockchain mechanisms. In: 11th International Conference on Information and Education Technology ICIET Fujisawa, Japan, pp. 177–181 (2023)
He, S., Wen, J., Yang, F.: Digital gamification in EAP: enhancing university students’ academic vocabulary learning via quizlet. In: 11th International Conference on Information and Education Technology ICIET Fujisawa, Japan, pp. 182–186 (2023)
Vlahović, I., Ogrizek Biškupić, I.: Fostering critical and computational thinking in the field of primary and secondary education in non-STEM subjects by using data sets and applications. In: Skala, K. (ed.) MIPRO 2023, 46th ICT and Electronics Convention /. Opatija: Croatian Society for Information, Communication and Electronic Technology – MIPRO, pp. 728–733 (2023)
Holmes, W., Bialik, M., Fadel, C.: Artificial Intelligence in Education. Globethics Publications (2023)
McMurtrie, B.: AI and the Future of Undergraduate Writing. The Chronicle of Higher Education (2022)
Sok, S., Heng, K. ChatGPT for Education and Research: A Review of Benefits and Risks (2023)
Chen, L., Chen, P., Lin, Z.: Artificial intelligence in education: a review. IEEE Access 8, 75264–75278 (2020)
Montebello, M.: AI Injected e-Learning: The Future of Online Education. Studies in Computational Intelligence 745, Springer, Cham (2018). https://doi.org/10.1007/978-3-319-67928-0
Holmes, W., Bialik, M., Fadel, C.: Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Center for Curriculum Redesign, Boston (2019)
Ouyang, F., Jiao, P.: Artificial intelligence in education: the three paradigms. Comput. Educ. Artif. Intell. 2, 100020 (2021)
Kasneci, E., Seßler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Kasneci, G.: ChatGPT for Good? On opportunities and challenges of large language models for education. Learn. Individual Diff. 103, 102274 (2023)
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Biškupić, I.O., Konecki, M., Konecki, M. (2024). Improving STEM Competences by Using Artificial Intelligence to Generate Video Games Based on Student Written Stories. In: Kurbanoğlu, S., et al. Information Experience and Information Literacy. ECIL 2023. Communications in Computer and Information Science, vol 2042. Springer, Cham. https://doi.org/10.1007/978-3-031-53001-2_4
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