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Abstract

Psychomotor learning is an emerging research direction in the AIED (Artificial Intelligence in Education) field. This topic was introduced in the AIED research agenda back in 2016 in a contribution at the International Journal of AIED, where the SMDD (Sensing-Modelling-Designing-Delivering) process model to develop AIED psychomotor systems was introduced. Recently, a systematic review of the state of the art on this topic has also been published in the novel Handbook of AIED. In this context, the aim of the IPAIEDS tutorial is to motivate the AIED community to research on intelligent psychomotor systems and give tools to design, build and evaluate this kind of systems.

O. C. Santos, M. Portaz, A. Casas-Ortiz, J. Echeverria, L. F. Perez-Villegasā€”Contributing authors.

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References

  • Bloom, B., Engelhart, M., Furst, E., et al.: Taxonomy of educational objectives: the classification of educational goals, in Handbook I: Cognitive Domain, vol. 3. Longman, New York (1956)

    Google ScholarĀ 

  • Casas-Ortiz, A., Santos, O.C.: KSAS: An AI application to learn martial arts movements in on-line settings. In: Interactive Events at AIED21 (Artificial Intelligence in Education), pp. 1ā€“4 (2021). https://aied2021.science.uu.nl/file/KSAS-An-AI-Application-to-learn-Martial-Arts-Movements-in-on-line-Settings.pdf

  • Casas-Ortiz, A., Echeverria, J., Santos, O.C.: Chapter 18. Intelligent systems for psychomotor learning: a systematic review and two cases of study. In: du Boulay, B., Mitrovic, A., Yacef, K., (eds.) Handbook of Artificial Intelligence in Education, chap 18, p 390ā€“418. Edward Elgar Publishing (2023)

    Google ScholarĀ 

  • Dave, R.H.: Psychomotor levels. In: Armstrong, R.J., (ed.) Developing and Writing Educational Objectives, pp. 33ā€“34. Educational Innovators Press, Tucson, AZ (1970)

    Google ScholarĀ 

  • Echeverria, J., Santos, O.C.: KUMITRON: A Multimodal Psychomotor Intelligent Learning System to Provide Personalized Support when Training Karate Combats (2021a). https://aied2021.science.uu.nl/file/Kumitron.pdf

  • Echeverria, J., Santos, O.C.: KUMITRON: learning in Pairs Karate related skills with artificial intelligence support. In: Interactive Events at AIED21 (Artificial Intelligence in Education), Feb 2023 (2021b). https://aied2021.science.uu.nl/file/Kumitron.pdf

  • Echeverria, J., Santos, O.C.: Towards analyzing psychomotor group activity for collaborative teaching using neural networks. In: Proceedings of the International Conference on Artificial Intelligence in Education (AIED 2023) (2023)

    Google ScholarĀ 

  • Ferris, T., Aziz, S.: A psychomotor skills extension to bloomā€™s taxonomy of education objectives for engineering education. In: Exploring Innovation in Education and Research (ICEER- 2005), pp. 1ā€“5 (2005)

    Google ScholarĀ 

  • Harrow, A.: A Taxonomy of the Psychomotor Domain: A Guide for Developing Behavioral Objectives. David McKay Company Inc., New York (1972)

    Google ScholarĀ 

  • Perez-Villegas, L.F., Valladares, S. (supervisor), Santos, O.C. (supervisor): Sign Language Segmentation Using a Transformer-based Approach. Master Thesis. Master in Research in Artificial Intelligence, UNED (2022)

    Google ScholarĀ 

  • Portaz, M., Santos, O.C.: Towards personalised learning of psychomotor skills with data mining. In: Doctoral Consortium at EDM22 (Educational Data Mining) (2022). https://educationaldatamining.org/edm2022/proceedings/2022.EDM-doctoral-consortium.108/index.html

  • Portaz, M., ManjarrĆ©s, A., Santos, O.C.: Towards human-centric psychomotor recommender systems. In: Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization (UMAP 2023 Adjunct) (2023). https://doi.org/10.1145/3563359.3596993

  • Santos, O.C.: Beyond Cognitive and Affective Issues: Designing Smart Learning Environments for Psychomotor Personalized Learning, Springer International Publishing, pp 1ā€“24 (2016a). https://doi.org/10.1007/978-3-319-17727-4_8-1

  • Santos, O.C.: Training the body: the potential of aied to support personalized motor skills learning. Int. J. Artif. Intell. Educ. 26(2), 730ā€“755 (2016). https://doi.org/10.1007/s40593-016-0103-2

    ArticleĀ  Google ScholarĀ 

  • Santos, O.C.: Artificial intelligence in psychomotor learning: modeling human motion from inertial sensor data. Int. J. Artifi. Intell. Tools 28(04), 1940,006

    Google ScholarĀ 

  • Santos, O.C., CorbĆ­, A.: Can Aikido help with the comprehension of physics? a first step towards the design of intelligent psychomotor systems for steam kinesthetic learning scenarios. IEEE Access 7, 176,458ā€“176,469 (2019)

    Google ScholarĀ 

  • Simpson, E.: The classification of educational objectives in the psychomotor domain: The psychomotor domain, vol. 3. Gryphon House, Washington, DC (1972)

    Google ScholarĀ 

  • Thomas, K.: Learning Taxonomies in the Cognitive, Affective, and Psychomotor Domains (2004). http://www.rockymountainalchemy.com/whitePapers/rma-wp-learning-taxonomies.pdf

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Acknowledgments

This tutorial is part of the project ā€œHUMANAID-Sens: HUMan-centered Assisted Intelligent Dynamic systems with SENSing technologies (TED2021-129485B-C41)" funded by MCIN/AEI/10.13039/501100011033 and the European Union ā€œNextGenerationEU"/PRTR.

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Correspondence to Olga C. Santos .

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Santos, O.C., Portaz, M., Casas-Ortiz, A., Echeverria, J., Perez-Villegas, L.F. (2023). Designing, Building andĀ Evaluating Intelligent Psychomotor AIED Systems (IPAIEDS@AIED2023). In: Wang, N., Rebolledo-Mendez, G., Dimitrova, V., Matsuda, N., Santos, O.C. (eds) Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky. AIED 2023. Communications in Computer and Information Science, vol 1831. Springer, Cham. https://doi.org/10.1007/978-3-031-36336-8_14

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  • DOI: https://doi.org/10.1007/978-3-031-36336-8_14

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