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| Autor/inn/en | Naya-Varela, Martin; Guerreiro-Santalla, Sara; Baamonde, Tamara; Bellas, Francisco |
|---|---|
| Titel | Robobo SmartCity: An Autonomous Driving Model for Computational Intelligence Learning through Educational Robotics |
| Quelle | In: IEEE Transactions on Learning Technologies, 16 (2023) 4, S.543-559 (17 Seiten)Infoseite zur Zeitschrift
PDF als Volltext |
| Zusatzinformation | ORCID (Naya-Varela, Martin) ORCID (Guerreiro-Santalla, Sara) ORCID (Baamonde, Tamara) ORCID (Bellas, Francisco) |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| DOI | 10.1109/TLT.2023.3244604 |
| Schlagwörter | Robotics; Educational Technology; Technology Uses in Education; Computation; Programming; Artificial Intelligence; Man Machine Systems; Secondary School Students |
| Abstract | This article presents the Robobo SmartCity model, an educational resource to introduce students to computational intelligence (CI) topics using educational robotics as the core learning technology. Robobo SmartCity allows educators to train learners in artificial intelligence (AI) fundamentals from a feasible and practical perspective, following the recommendations of digital education plans to introduce AI at all educational levels. This resource is based on the Robobo educational robot and an autonomous driving setup. It is made up of a city mockup, simulation models, and programming libraries adapted to the students' skill level. In it, students can be trained in CI topics that support robot autonomy, as computer vision, machine learning, or human-robot interaction, while developing solutions in the motivating and challenging scope of autonomous driving. The main details of this open resource are provided with a set of possible challenges to be faced in it. They are organized in terms of the educational level and students' skills. The resource has been mainly tested with secondary and high school students, obtaining successful learning outcomes, presented here to inspire other teachers in taking advantage of this learning technology in their classes. (As Provided). |
| Anmerkungen | Institute of Electrical and Electronics Engineers, Inc. 445 Hoes Lane, Piscataway, NJ 08854. Tel: 732-981-0060; Web site: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=4620076 |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2024/1/01 |
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