Abstract
This paper describes the development of PathIt, as well as its potential impact on the training of problem-solving skills for visually impaired individuals.
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Notes
- 1.
The error insights provided by the app include syntax errors in the sequence, paths extending beyond the board edges, passages through prohibited positions, and the omission of mandatory positions on the path.
- 2.
See more at https://lightbot.lu/.
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Acknowledgements
This team work has been supported by FCT - Fundação para a Ciência e Tecnologia within the R&D Units Project Scope: UIDB/00319/2020.
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Soares Cunha, A., Araújo, C., Costa Neto, A., Rangel Henriques, P. (2023). PathIt: Computational Thinking Training for Visually Impaired Individuals. In: Milrad, M., et al. Methodologies and Intelligent Systems for Technology Enhanced Learning, 13th International Conference. MIS4TEL 2023. Lecture Notes in Networks and Systems, vol 764. Springer, Cham. https://doi.org/10.1007/978-3-031-41226-4_17
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