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        <identifier>oai:drops-oai.dagstuhl.de:20984</identifier>
        <datestamp>2024-09-25T10:22:31Z</datestamp>
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          <dc:title>Implementing a Digital Twin for a Robotic Platform to Support Large-Scale Coding Classes</dc:title>
          <dc:creator>Heeney, Michael</dc:creator>
          <dc:creator>Androutsopoulos, Kelly</dc:creator>
          <dc:creator>Raimondi, Franco</dc:creator>
          <dc:subject>digital twin</dc:subject>
          <dc:subject>introductory programming</dc:subject>
          <dc:subject>constructionism</dc:subject>
          <dc:subject>robotics</dc:subject>
          <dc:subject>computer science education</dc:subject>
          <dc:description>Constructionist learning involves learners that are actively engaged in the construction of an entity that reflects the learning achievements. When learning to code, such a physical entity can take the shape of a robot, or of a robotic arm, or any other hardware device that is used to manifest the effect of the code that students are writing. Hardware devices have been used in primary and secondary schools, and also in Higher Education. Unfortunately, the use of hardware devices is limited as it does not scale to large cohorts and requires a physical space for face-to-face teaching.&#13;
In this paper we introduce a digital twin for a robotic platform to replicate a classroom setting used for teaching first year undergraduate Computer Science students. We describe the architecture of the system and its implementation.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Michael Heeney and Kelly Androutsopoulos and Franco Raimondi</dc:contributor>
          <dc:date>2024</dc:date>
          <dc:relation>Is Part Of OASIcs, Volume 122, 5th International Computer Programming Education Conference (ICPEC 2024)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/OASIcs.ICPEC.2024.15</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-209848</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.ICPEC.2024.15</dc:identifier>
          <dc:language>eng</dc:language>
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