Course for international guest/part time students

Faculty

Faculty of Education and Psychology

Organization

PPK Institute of Health Promotion and Sport Sciences

Code

PPK-SPORT:74

Title

Application of Artificial Intelligence in the University Environment

Usual semester

Spring

Published semester

2025/26/2

ECTS

4

Language

en

Learning outcomes

Az oktatás célja angolul: Aim of the subject is to provide students with a comprehensive understanding of the fundamental concepts, operating principles, and potential applications of artificial intelligence (AI) in higher education, with particular attention to the regulations of ELTE. During the course, students will become familiar with the educational and research-related uses of AI, as well as the relevant regulatory frameworks. A key objective of the course is to develop digital competence and foster critical technological thinking, which supports the conscious, responsible, and ethical use of AI in educational practice. The course adopts a multidisciplinary approach, encouraging students to explore the pedagogical, learning psychology, and educational development opportunities of AI in the context of sport sciences and education. The training contributes to equipping students with the ability to integrate AI as a tool into 21st-century learning environments, in accordance with university policies.

Course content

Major topics Week 1 – ELTE Regulations on the Use of Artificial Intelligence – Legal, ethical, and professional frameworks for the educational and scientific use of AI – Recommendations, restrictions, and good practices (HKR, ETK guidelines) Week 2 – Data Protection, Ethical Issues, Plagiarism and AI – GDPR and data processing in educational environments – Responsibility and ethical concerns related to AI-generated content Week 5 – Introduction to the Institutional Regulatory Environment – General legal and ethical frameworks for the use of artificial intelligence in education and research Week 6 – ELTE’s HKR (Student Requirements System) and AI – Relevant HKR rules on student use of technologies Week 7 – Recommendations of ELTE’s ETK (Ethics Advisory Committee) – Professional and ethical expectations for AI use in teaching and research Week 8 – Summary and Preparation for Practical Tasks – Review of theoretical knowledge – Assignment briefings: individual or group-based AI application plans Weeks 9–13 – Student Practical Presentations Week 9 – Presentation of AI-based Educational and Sport Pedagogy Plans I – AI project ideas adapted to educational and sport settings – Presentations and reflective discussion Week 10 – Presentation of AI-based Educational and Sport Pedagogy Plans II – Implementation of tasks using educational tools (e.g., AI assistants, chatbots) – Practical application simulations Week 11 – Testing and Evaluation of Educational Tools – Mentimeter, Socrative, ChatGPT, Canva AI, etc. – Student evaluations and feedback Week 12 – Sport Analytics and Movement Analysis Demonstrations – Wearable AI devices, data visualization – Applications in sport science and training methodology Week 13 – Final Summary, Self-Reflection, and Evaluation – Sharing experiences and suggestions – Student portfolio presentations and course closure Planned teaching methods Theoretical introductory lectures (expository lecture, PPT-based presentation, question–answer segment) Group work and cooperative learning (small group project tasks) Case study analysis (group-based processing of case studies, presentation of alternative solutions) Student presentations and self-reflection (individual or group presentations) Use of digital and visual tools (online questionnaires, infographics, video analysis, quiz platforms such as Mentimeter, Kahoot) Methodological planning practice (development of lesson and activity plans for sport or educational situations; individual or paired planning tasks with instructor consultation)

Assessment method

A számonkérés és értékelés rendszere angolul: Requirements and evaluation Requirements: Class attendance is mandatory, taking into account the number of absences permitted by university regulations (HKR § 66). Combined assessment: Evaluation based on presentations, in accordance with the topics covered during the semester. Method of evaluation: practical mark Criteria of evaluation: Confident knowledge and application of basic concepts. Level of mastery of the acquired knowledge. Factual accuracy and structure of the knowledge. Understanding of interrelations and connections. Use of professional terminology.

Bibliography

Idegen nyelven történő indítás esetén az adott idegen nyelvű irodalom: Mesterséges intelligencia használata az ELTE-n 1.a. https://www.ppk.elte.hu/dokumentumok/mesterseges-intelligencia?utm_source=chatgpt.com 1.b. https://gtk.elte.hu/content/iranyelvek-a-mesterseges-intelligencia-hallgatoi-hasznalatahoz-az-elte-gazdasagtudomanyi-karon.t.46001?utm_source=chatgpt.com 1.c. https://www.youtube.com/watch?v=kc--2to9vlc Dietz, F. (2020). A mesterséges intelligencia az oktatásban: kihívások és lehetőségek. Scientia et Securitas, 1(1), 54–63. Marciniak, A., Baksa, G. (2024): Szövegalkotó mesterséges intelligencia a társadalomtudományi felsőoktatásban. REAL – MTA Könyvtár és Információs Központ. BGE Oktatói Ajánlás (2023): Mesterséges intelligencia az egyetemi oktatásban. Budapesti Gazdasági Egyetem. Bond, M., Khosravi, H., De Laat, M., Bergdahl, N., Negrea, V., Oxley, E., Pham, P., Chong, S. W., Siemens, G. (2024): A meta systematic review of artificial intelligence in higher education: A call for increased ethics, collaboration, and rigour. International Journal of Educational Technology in Higher Education, 21(4). U.S. Department of Education. (2023): Artificial Intelligence and the Future of Teaching and Learning: Insights and Recommendations. Office of Educational Technology.

Recommended bibliography

Idegen nyelven történő indítás esetén az adott idegen nyelvű irodalom: Mesterséges intelligencia használata az ELTE-n 1.a. https://www.ppk.elte.hu/dokumentumok/mesterseges-intelligencia?utm_source=chatgpt.com 1.b. https://gtk.elte.hu/content/iranyelvek-a-mesterseges-intelligencia-hallgatoi-hasznalatahoz-az-elte-gazdasagtudomanyi-karon.t.46001?utm_source=chatgpt.com 1.c. https://www.youtube.com/watch?v=kc--2to9vlc Dietz, F. (2020). A mesterséges intelligencia az oktatásban: kihívások és lehetőségek. Scientia et Securitas, 1(1), 54–63. Marciniak, A., Baksa, G. (2024): Szövegalkotó mesterséges intelligencia a társadalomtudományi felsőoktatásban. REAL – MTA Könyvtár és Információs Központ. BGE Oktatói Ajánlás (2023): Mesterséges intelligencia az egyetemi oktatásban. Budapesti Gazdasági Egyetem. Bond, M., Khosravi, H., De Laat, M., Bergdahl, N., Negrea, V., Oxley, E., Pham, P., Chong, S. W., Siemens, G. (2024): A meta systematic review of artificial intelligence in higher education: A call for increased ethics, collaboration, and rigour. International Journal of Educational Technology in Higher Education, 21(4). U.S. Department of Education. (2023): Artificial Intelligence and the Future of Teaching and Learning: Insights and Recommendations. Office of Educational Technology.

Programmes of the course