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Costa, J. M. (2014). Using a scenario-based learning with robots to increase the programming interest. In TEEM 2014: Proceedings of the Second International Conference on Technological Ecosystems for Enhancing Multiculturality. (pp. 133-138). Salamanca: ACM Press.
J. M. Pardal, "Using a scenario-based learning with robots to increase the programming interest", in TEEM 2014: Proc. of the 2nd Int. Conf. on Technological Ecosystems for Enhancing Multiculturality, Salamanca, ACM Press, 2014, pp. 133-138
@inproceedings{pardal2014_1715947425094, author = "Costa, J. M.", title = "Using a scenario-based learning with robots to increase the programming interest", booktitle = "TEEM 2014: Proceedings of the Second International Conference on Technological Ecosystems for Enhancing Multiculturality", year = "2014", editor = "", volume = "", number = "", series = "", doi = "10.1145/2669711.2669891", pages = "133-138", publisher = "ACM Press", address = "Salamanca", organization = "", url = "https://dl.acm.org/doi/10.1145/2669711.2669891" }
TY - CPAPER TI - Using a scenario-based learning with robots to increase the programming interest T2 - TEEM 2014: Proceedings of the Second International Conference on Technological Ecosystems for Enhancing Multiculturality AU - Costa, J. M. PY - 2014 SP - 133-138 DO - 10.1145/2669711.2669891 CY - Salamanca UR - https://dl.acm.org/doi/10.1145/2669711.2669891 AB - This experiment had as main goal the building of a learning scenario using robots to enhance the programming interest of the students of the professional course of Management Informatics. The learning scenario was materialized in seven challenges with increasing difficulty levels that the students solved in small groups during five classes of 90 minutes. The results of the teams in solving the challenges were very positive, having the majority of the students applied correctly the concepts of programming to achieve the success in their resolution. The results of the survey carried out after the experiment showed that the participants indicted preference by continuing their programming learning using robots. ER -