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Embedded smart home

  • The popularity of MOOCs has increased considerably in the last years. A typical MOOC course consists of video content, self tests after a video and homework, which is normally in multiple choice format. After solving this homeworks for every week of a MOOC, the final exam certificate can be issued when the student has reached a sufficient score. There are also some attempts to include practical tasks, such as programming, in MOOCs for grading. Nevertheless, until now there is no known possibility to teach embedded system programming in a MOOC course where the programming can be done in a remote lab and where grading of the tasks is additionally possible. This embedded programming includes communication over GPIO pins to control LEDs and measure sensor values. We started a MOOC course called "Embedded Smart Home" as a pilot to prove the concept to teach real hardware programming in a MOOC environment under real life MOOC conditions with over 6000 students. Furthermore, also students with real hardware have the possibility to program onThe popularity of MOOCs has increased considerably in the last years. A typical MOOC course consists of video content, self tests after a video and homework, which is normally in multiple choice format. After solving this homeworks for every week of a MOOC, the final exam certificate can be issued when the student has reached a sufficient score. There are also some attempts to include practical tasks, such as programming, in MOOCs for grading. Nevertheless, until now there is no known possibility to teach embedded system programming in a MOOC course where the programming can be done in a remote lab and where grading of the tasks is additionally possible. This embedded programming includes communication over GPIO pins to control LEDs and measure sensor values. We started a MOOC course called "Embedded Smart Home" as a pilot to prove the concept to teach real hardware programming in a MOOC environment under real life MOOC conditions with over 6000 students. Furthermore, also students with real hardware have the possibility to program on their own real hardware and grade their results in the MOOC course. Finally, we evaluate our approach and analyze the student acceptance of this approach to offer a course on embedded programming. We also analyze the hardware usage and working time of students solving tasks to find out if real hardware programming is an advantage and motivating achievement to support students learning success.zeige mehrzeige weniger

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Metadaten
Verfasserangaben:Martin MalchowORCiDGND, Jan RenzORCiDGND, Matthias BauerORCiDGND, Christoph MeinelORCiDGND
DOI:https://doi.org/10.1109/SYSCON.2017.7934728
ISBN:978-1-5090-4623-2
ISSN:1944-7620
Titel des übergeordneten Werks (Englisch):11th Annual IEEE International Systems Conference (SysCon)
Untertitel (Englisch):remote lab grading in a MOOC with over 6000 participants
Verlag:IEEE
Verlagsort:New York
Publikationstyp:Sonstiges
Sprache:Englisch
Datum der Erstveröffentlichung:29.05.2017
Erscheinungsjahr:2017
Datum der Freischaltung:17.11.2022
Aufsatznummer:16917142
Seitenanzahl:6
Erste Seite:195
Letzte Seite:200
Organisationseinheiten:An-Institute / Hasso-Plattner-Institut für Digital Engineering gGmbH
DDC-Klassifikation:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 000 Informatik, Informationswissenschaft, allgemeine Werke
Peer Review:Referiert
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