MTeacher: A Gamified and Physiological-Based Web Application Designed for Machine Learning Education
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-05028-2_29
Reference21 articles.
1. Chancellor, S., Baumer, E.P., De Choudhury, M.: Who is the “human” in human-centered machine learning: the case of predicting mental health from social media. In: Proceedings of the ACM on Human-Computer Interaction (CSCW), vol. 3, pp. 1–32 (2019)
2. Crawford, C.S., Gilbert, J.E.: Neuroblock: A block-based programming approach to neurofeedback application development. In: 2017 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), pp. 303–307. IEEE (2017)
3. Gresse, C., Jean, V.W., Pacheco, F.S., Bertonceli, M.F.: Visual tools for teaching machine learning in K-12: a ten-year systematic mapping. No. 0123456789. Springer, US (2021). https://doi.org/10.1007/s10639-021-10570-8. https://doi.org/10.1007/s10639-021-10570-8
4. Hernandez-Cuevas, B., Egbert, W., Denham, A., Mehul, A., Crawford, C.S.: Changing minds: exploring brain-computer interface experiences with high school students. In: Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, pp. 1–10 (2020)
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