THE LIMIT OF ARTIFICIAL INTELLIGENCE: THE MOTOR CONTROL

Nicola Lovecchio

Abstract


Our lives are steeped in AI: from remote sleep control to car sensor. Considering the benefits that AI can offer in computing and public health activities, how will AI impact PE? Will humans be replaced in everything? Will we still be able to learn? In educational context the AI promotes learning models based only on knowledge transfer and robust assessing routine. But are test scores accurate indicators of learning? Even if the PE take advantage in video and storage system the AI will not replace the area of brain that are implicated in the cues synthesis and in motor control.


Full Text:

PDF

References


Adams, J. A. (1978). Theoretical issues for knowledge of results. In Information processing in motor control and learning (pp. 229–240). Elsevier.

Aiken, R. M., & Epstein, R. G. (2000). Ethical guidelines for AI in education: Starting a conversation. International Journal of Artificial Intelligence in Education, 11(2), 163–176.

Ali, O., Abdelbaki, W., Shrestha, A., Elbasi, E., Alryalat, M. A. A., & Dwivedi, Y. K. (2023). A systematic literature review of artificial intelligence in the healthcare sector: Benefits, challenges, methodologies, and functionalities. Journal of Innovation & Knowledge, 8(1), 100333.

Cadegiani, F. A., & Kater, C. E. (2019). Enhancement of hypothalamic-pituitary activity in male athletes: Evidence of a novel hormonal mechanism of physical conditioning. BMC Endocrine Disorders, 19(1), 1–11.

Chien, C.-F., Dauzère-Pérès, S., Huh, W. T., Jang, Y. J., & Morrison, J. R. (2020). Artificial intelligence in manufacturing and logistics systems: Algorithms, applications, and case studies. In International Journal of Production Research (Vol. 58, Fascicolo 9, pp. 2730–2731). Taylor & Francis.

Craig, C. (2013). Understanding perception and action in sport: How can virtual reality technology help? Sports Technology, 6(4), 161–169.

Deepak, B., Bala Murali, G., Bahubalendruni, M. R., & Biswal, B. B. (2019). Assembly sequence planning using soft computing methods: A review. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, 233(3), 653–683.

Dennett, D. C. (1990). Cognitive wheels: The frame problem of AI. The philosophy of artificial intelligence, 147, 170.

Giuriato, M., & Lovecchio, N. (2018). Cognitive Training in Soccer: Where Is the Key Point? Open Access Library Journal, 5(2), 1–6.

Giuriato, M., & Lovecchio, N. (2020). Cosa sono le funzioni esecutive: Analisi, riscontri e legami nello sport. Formazione & insegnamento, 18(2), 050–063.

Hopcan, S., Polat, E., Ozturk, M. E., & Ozturk, L. (2023). Artificial intelligence in special education: A systematic review. Interactive Learning Environments, 31(10), 7335–7353.

Hülsdünker, T., Strüder, H. K., & Mierau, A. (2018). The athletes’ visuomotor system–Cortical processes contributing to faster visuomotor reactions. European Journal of Sport Science, 18(7), 955–964.

Kaplan, A., & Haenlein, M. (2020). Rulers of the world, unite! The challenges and opportunities of artificial intelligence. Business Horizons, 63(1), 37–50.

Kruse, C. S., Stein, A., Thomas, H., & Kaur, H. (2018). The use of electronic health records to support population health: A systematic review of the literature. Journal of medical systems, 42, 1–16.

Kumar, D., Haque, A., Mishra, K., Islam, F., Mishra, B. K., & Ahmad, S. (2023). Exploring the transformative role of artificial intelligence and metaverse in education: A comprehensive review. Metaverse Basic and Applied Research, 2, 55–55.

Lee, H. S., & Jin, Y. K. (2016). A review of benefits and trends for the three specific and distinct products using technology in physical education. 한국여성체육학회지, 30(4), 275–289.

Lee, H. S., & Lee, J. (2021). Applying artificial intelligence in physical education and future perspectives. Sustainability, 13(1), 351.

Liu, X., & Jiang, J. (2022). Digital twins by physical education teaching practice in visual sensing training system. Advances in Civil Engineering, 2022, 1–12.

Lovecchio, N., Sangalli, S., & Borgogni, A. (2023). Movements in Analogic or Digital Context: A Critical Comparison. ITALIAN JOURNAL OF HEALTH EDUCATION, SPORT AND INCLUSIVE DIDACTICS, 7(1).

Lovecchio, N., Zago, M., Perucca, L., & Sforza, C. (2017). Short-term repeatability of stabilometric assessments. Journal of motor behavior, 49(2), 123–128.

Luckin, R. (2016). Mainstreaming innovation in educational technology. Advances in SoTL, 3(1).

Magill, R., & Anderson, D. I. (2010). Motor learning and control. McGraw-Hill Publishing New York.

Mavropoulou, A., Barkoukis, V., Douka, S., Alexandris, K., & Hatzimanouil, D. (2019). The role of autonomy supportive activities on students’ motivation and beliefs toward out-of-school activities. The Journal of Educational Research, 112(2), 223–233.

Minz, A., & Mahobiya, C. (2017). MR image classification using adaboost for brain tumor type. 2017 IEEE 7th International Advance Computing Conference (IACC), 701–705.

Mislevy, R. J. (2018). On integrating psychometrics and learning analytics in complex assessments. Data Anal Psychometrics: inform assess Pract, 1.

Müller, V. C., & Bostrom, N. (2016). Future progress in artificial intelligence: A survey of expert opinion. Fundamental issues of artificial intelligence, 555–572.

O’Hare, G. M. P. (1990). Designing intelligent manufacturing systems: A distributed artificial intelligence approach. Computers in Industry, 15(1–2), 17–25.

Porayska-Pomsta, K. K. (2015). AI in Education as a methodology for enabling educational evidence-based practice. http://ceur-ws. org/Vol-1432/, 1432, 52–61.

Russo, L., Lovecchio, N., Michaud, A., & Vlahos, R. (2021). eSport: Sport a tutti gli effetti? SPORT & MEDICINA, 38(3), 12–17.

Sasubilli, S. M., Kumar, A., & Dutt, V. (2020). Improving health care by help of internet of things and bigdata analytics and cloud computing. 2020 International Conference on Advances in Computing and Communication Engineering (ICACCE), 1–4.

Schmidt, R. A. (1975). A schema theory of discrete motor skill learning. Psychological review, 82(4), 225.

Strachna, O., & Asan, O. (2020). Reengineering clinical decision support systems for artificial intelligence. 2020 IEEE International Conference on Healthcare Informatics (ICHI), 1–3.

Tuomi, I. (2019). The Impact of Artificial Intelligence on Learning, Teaching, and Education: Policies for the Future. JRC Science for Policy Report. European Commission.

Tzuriel, D., & Tzuriel, D. (2021). The Socio-Cultural Theory of Vygotsky. Mediated Learning and Cognitive Modifiability, 53–66.

Vandoni, M., Ferraro, O. E., Gatti, A., Marin, L., Giuriato, M., Silvestri, D., Lovecchio, N., Puci, M. V., & Carnevale Pellino, V. (2022). The role of crowd support on home advantage during COVID-19 restrictions on Italian football competitions. Comparison between 2018–19 and 2020–21 seasons of the Italian serie A and serie B championships. Sports, 10(2), 17.

Wootton, R. (2001). Telemedicine. Bmj, 323(7312), 557–560.

Zago, M., Lovecchio, N., & Galli, M. (2022). Players at home: Physical activity and quality of life in 12–17 years-old football (soccer) players during the Covid-19 lockdown. International Journal of Sports Science & Coaching, 17(3), 626–636.

Zhang, R. (2022). College sports decision-making algorithm based on machine few-shot learning and health information mining technology. Computational Intelligence and Neuroscience, 2022.

Zhou, T., Wu, X., Wang, Y., Wang, Y., & Zhang, S. (2023). Application of artificial intelligence in physical education: A systematic review. Education and Information Technologies, 1–18.




DOI: https://doi.org/10.32043/gsd.v8i3.1074

Refbacks

  • There are currently no refbacks.


Copyright (c) 2024 ITALIAN JOURNAL OF HEALTH EDUCATION, SPORT AND INCLUSIVE DIDACTICS

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Italian Journal of Health Education, Sports and Inclusive Didactics 
ISSN: 2532-3296