Artificial intelligence and computer vision applied to education

Authors

DOI:

https://doi.org/10.35290/ro.v3n2.2022.587

Keywords:

artificial intelligence, computer visión, MediaPipe, education, machine learning

Abstract

This paper carries out a bibliographic review on artificial intelligence, computer vision, MediaPipe tools and machine learning, with the aim of generating a technology proposal to improve the quality of classes. Throughout the work the current situation of students with respect to virtual classes is described, both definitions and the functioning of the different topics are included and explained, as well as their applications in everyday life. Likewise, the contribution of each of the fields to education is included, and an analysis of similar works is made. Finally, a proposal is made for a technological tool that can improve the quality of classes in the virtual modality, thus being a contribution to education.

Downloads

Download data is not yet available.

References

Builes, A., y Palacio, E. (2015). Aplicación del reconocimiento de imágenes para la manipulación robótica de objetos en movimiento [Tesis de grado, Universidad Pontificia Bolivariana]. https://repository.upb.edu.co/handle/20.500.11912/2452

Chen, L., Chen, P., & Lin, Z. (2020). Artificial Intelligence in Education: A Review. IEEE Access, 8, 75264–75278. https://doi.org/10.1109/access.2020.2988510 DOI: https://doi.org/10.1109/ACCESS.2020.2988510

Chu, X., Ilyas, I., Krishnan, S., & Wang, J. (2016). Data cleaning: overview and emerging challenges. In Sigmod’16: Proceedings of the 2016 international conference on management of data (pp. 2201-2206). https://doi.org/10.1145/2882903.2912574 DOI: https://doi.org/10.1145/2882903.2912574

Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. The Center for Curriculum Redesign.

IBM. (03 de junio de 2020). What is Artificial Intelligence (AI)? https://www.ibm.com/cloud/learn/what-is-artificial-intelligence

IBM. (2022). What is Computer Vision? https://www.ibm.com/topics/computer-vision#:~:text=Computer%20vision%20is%20a%20field,recommendations%20based%20on%20that%20information.

Lovejoy, C., Abbas, A., & Ratneswaran, D. (2021). An introduction to artificial intelligence in sleep medicine. Journal Of Thoracic Disease, 13(10), 6095-6098. doi:10.21037/jtd-21-1569 DOI: https://doi.org/10.21037/jtd-21-1569

Lugaresi, C., Tang, J., Nash, H., McClanahan, C., Uboweja, E., Hays, M., Zhang, F., Chang, C., Yong, M., Lee, J., Chang, W., Hua, W., Georg, M. & Grundmann, M. (2019). MediaPipe: A Framework for Building Perception Pipelines. arXiv preprint https://doi.org/10.48550/arXiv.1906.08172

Martínez, J. (2018). Reconocimiento de imágenes mediante redes neuronales convolucionales [Tesis de grado, Universidad Politécnica de Madrid]. https://oa.upm.es/53050/

MediaPipe. (2020). MediaPipe Hands. https://google.github.io/mediapipe/solutions/hands

McCarthy, J. (2017). What is AI? / Basic Questions. Stanford University. http://jmc.stanford.edu/artificial-intelligence/what-is-ai/index.html

Orhei, C., Vert, S., Mocofan, M., & Vasiu, R. (2021). End-To-End Computer Vision Framework: An Open-Source Platform for Research and Education. Sensors, 21(11), 3691. https://doi.org/10.3390/s21113691 DOI: https://doi.org/10.3390/s21113691

Pedró, F., Subosa, M., Rivas, A. y Valverde, P. (2019). Artificial Intelligence in education: challenges and opportunities for sustainable development. UNESCO. https://unesdoc.unesco.org/ark:/48223/pf0000366994

Romero, B. (2020). Una introducción a los modelos de Machine Learning [Tesis de grado, Benemérita Universidad Autónoma de Puebla] https://hdl.handle.net/20.500.12371/10527

Sung, G., Sokal, K., Uboweja, E., Bazarevsky, V., Baccash, J., Bazavan, E, Chang, C., & Grundmann, M. (2021). On-device Real-time Hand Gesture Recognition. arXiv preprint. https://doi.org/10.48550/arXiv.2111.00038

Wang, C., Komodakis, N., & Paragios, N. (2013). Markov Random Field modeling, inference & learning in computer vision & image understanding: A survey. Computer Vision and Image Understanding, 117(11), 1610–1627. http://dx.doi.org/10.1016/j.cviu.2013.07.004 DOI: https://doi.org/10.1016/j.cviu.2013.07.004

Published

2022-06-10

How to Cite

Sánchez López, L. A. (2022). Artificial intelligence and computer vision applied to education. ODIGOS JOURNAL, 3(2), 61–73. https://doi.org/10.35290/ro.v3n2.2022.587

Issue

Section

Articles