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Soziale Roboter im Bildungsbereich

Konzeptioneller Überblick zum Einsatz sozialer Roboter in der Bildung

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Soziale Roboter

Zusammenfassung

Soziale Roboter könnten als Tutoren, Lehrassistenten oder Lernpartner in Zukunft ein integraler Bestandteil der Bildungsinfrastruktur sein. Viele Aufgaben im Bereich des Lehrens und Lernens können sie bereits heute übernehmen und noch viele weitere werden sie in Zukunft übernehmen können. Lernende sowie Arbeitnehmende werden heute immer mehr durch smarte Maschinen unterstützt. Das Lernen mit sozialen Robotern kann die menschlichen Fähigkeiten erweitern, individualisiertes und kollaboratives Lernen ermöglichen sowie die Motivation und das Selbstvertrauen der Lernenden steigern. Neben der technischen Entwicklung sind dafür auch didaktische Ansätze und Konzepte zum Design der Lernszenarien grundlegend. Der Beitrag beleuchtet den Stand der Forschung und gibt einen konzeptionellen Überblick zum Einsatz sozialer Roboter im Bildungsbereich.

We start from the belief that new technologies, when we fully exploit their possibilities, will change not only the ways we learn, but what we learn, as well as how we work, how we collaborate, and how we communicate.

(Rose Luckin)

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Literatur

  • Abildgaard JR, Scharfe H (2012) A geminoid as lecturer. In: Ge SS, Khatib O, Cabibihan JJ, Simmons R, Williams MA (Hrsg) Social robotics – 4th international conference, ICSR 2012, proceedings. ICSR, Chengdu, S 408–417

    Google Scholar 

  • Bacivarov IC, Ilian VLM (2012) The paradigm of utilizing robots in the teaching process: a comparative study. Int J Technol Des Educ 22(4):531–540

    Article  Google Scholar 

  • Belpaeme T, Kennedy J, Ramachandran A, Scassellati B, Tanaka F (2018) Social robots for education: a review. Sci Robot 3(21):eaat5954

    Article  Google Scholar 

  • Berghe R van den, Verhagen J, Oudgenoeg-Paz O, van der Ven S, Leseman P (2019) Social robots for language learning: a review. Rev Educ Res 89(2):259–295

    Google Scholar 

  • Bloom BS (1984) The 2 Sigma problem. The search for methods of group instruction as effective as one-to-one tutoring. Educ Res 13(6):4–16

    Article  Google Scholar 

  • Bolea Y, Grau A, Sanfeliu A (2016) From research to teaching: integrating social robotics in engineering degrees. Int J Comput Electr Autom Control Inf Eng 10(6):1020–1023

    Google Scholar 

  • Brühwiler C, Blatchford P (2011) Effects of class size and adaptive teaching competency on classroom processes and academic outcome. Learn Instr 21(1):95–108

    Article  Google Scholar 

  • Byrne BM, Rossi A, Doolean M (2017) Humanoid robots attending lectures. In: Proceedings of the 9th international conference on education technology and computers, ICETC 2017, Barcelona, S 7–11

    Google Scholar 

  • Cooney M, Leister W (2019) Using the engagement profile to design an engaging robotic teaching assistant for students. Robotics 8(1):21

    Article  Google Scholar 

  • Fridin M, Belokopytov M (2014) Acceptance of socially assistive humanoid robot by preschool and elementary school teachers. Comput Hum Behav 33:23–31

    Article  Google Scholar 

  • Gao Y, Barendregt W, Obaid M, Castellano G (2018) When robot personalisation does not help: insights from a robot-supported learning study. In: Proceedings of the 27th IEEE international symposium on robot and human interactive communication, IEEE 2018, Nanjing, S 705–712

    Google Scholar 

  • Graaf M, Allouch SB (2013) Exploring influencing variables for the acceptance of social robots. Robot Auton Syst 61(12):1476–1486

    Article  Google Scholar 

  • Guggemos J, Seufert S, Sonderegger S (2020) Humanoid robots in higher education: evaluating the acceptance of Pepper in the context of an academic writing course using the UTAUT. Br J Educ Technol 10(6):408

    Google Scholar 

  • Handke J (2018) Digitale Hochschullehre – Vom einfachen Integrationsmodell zur Künstlichen Intelligenz. In: Dittler U, Kreidl C (Hrsg) Hochschule der Zukunft. Springer Fachmedien, Wiesbaden, S 249–263

    Chapter  Google Scholar 

  • Handke J (2020) Humanoide Roboter. Showcase, Partner und Werkzeug. Tectum, Baden-Baden

    Book  Google Scholar 

  • Hobert S (2019) How are you, chatbot? Evaluating chatbots in educational settings – results of a literature review. In: Pinkwart N, Konert J (Hrsg) DELFI 2019. Gesellschaft für Informatik e.V., Bonn, S 259–270

    Google Scholar 

  • Huang C, Mutlu B (2014) Learning-based modeling of multimodal behaviors for humanlike robots. In: Sagerer G, Imai M, Belpaeme T, Thomaz A (Hrsg) HRI ’14. Proceedings of the 2014 ACM/IEEE international conference on human-robot interaction. ACM Press, New York, S 57–64

    Google Scholar 

  • Lehmann H, Rossi PG (2019) Social robots in educational contexts: developing an application in enactive didactics. J E-Learning Knowl Soc 15(2):27

    Google Scholar 

  • Leyzberg D, Spaulding S, Toneva M, Scassellati B (2012) The physical presence of a robot tutor increases cognitive learning gains. Proc Annu Meet Cogn Sci Soc 34(S):1882–1887

    Google Scholar 

  • Lutz C, Tamó-Larrieux A (2020) The robot privacy paradox: understanding how privacy concerns shape intentions to use social robots. HMC 1:87–111

    Article  Google Scholar 

  • Lutz C, Schöttler M, Hoffmann CP (2019) The privacy implications of social robots: scoping review and expert interviews. Mob Media Commun 7(3):412–434

    Article  Google Scholar 

  • Mubin O, Stevens CJ, Shahid S, Al MA, Dong J (2013) A review of the applicability of robots in education. J Technol Educ Learn 1(209–0015):13

    Google Scholar 

  • Pandey AK, Gelin R (2016) Humanoid robots in education: a short review. In: Goswami A, Vadakkepat P (Hrsg) Humanoid robotics: a reference. Springer Netherlands, Dordrecht, S 1–16

    Google Scholar 

  • Praetorius A, Pauli C, Reusser K, Rakoczy K, Klieme E (2014) One lesson is all you need? Stability of instructional quality across lessons. Learn Instr 31:2–12

    Article  Google Scholar 

  • Ringle CM, Sarstedt M (2016) Gain more insight from your PLS-SEM results. The importance-performance map analysis. Ind Manag Data Syst 116(9):1865–1886

    Article  Google Scholar 

  • Seufert S, Spiroudis E (2017) Wissenschaftliche Schreibkompetenz in der Studieneingangsphase fördern. Erfahrungen mit einem Rückmelde- und Bewertungsraster (Rubric). Zeitschrift Schreiben 15:1–9

    Google Scholar 

  • Shapiro L, Stolz SA (2019) Embodied cognition and its significance for education. Theory Res Educ 17(1):19–39

    Article  Google Scholar 

  • Sharkey AJC (2016) Should we welcome robot teachers? Ethics Inf Technol 18(4):283–297

    Article  Google Scholar 

  • Spolaôr N, Benitti FBV (2017) Robotics applications grounded in learning theories on tertiary education: a systematic review. Comput Educ 112:97–107

    Article  Google Scholar 

  • Sweller J (2020) Cognitive load theory and educational technology. Educ Tech Res Dev 68(1):1–16

    Article  Google Scholar 

  • Tanaka F, Isshiki K, Takahashi F, Uekusa M, Sei R, Hayashi K (2015) Pepper learns together with children: development of an educational application. In: Asfour T (Hrsg) 15th International conference on humanoid robots (Humanoids), IEEE-RAS. IEEE Robotics and Automation Society, Piscataway, S 270–275

    Chapter  Google Scholar 

  • Tyng CM, Amin HU, Saad MNM, Malik AS (2017) The influences of emotion on learning and memory. Front Psychol 8:1454

    Article  Google Scholar 

  • Venkatesh V, Morris MG, Davis GB, Davis FD (2003) User acceptance of information technology: toward a unified view. MIS Q 27(3):425–478

    Article  Google Scholar 

  • Wahlster W (2017) Künstliche Intelligenz versus menschliche Intelligenz: Wie lernen, verstehen und denken Computer? Künstliche Intelligenz für den Menschen: Digitalisierung mit Verstand. Johannes Gutenberg Universität, Mainz. http://www.dfki.de/wwdata/Gutenberg_Stiftungsprofessur_Mainz_2017/Lernende_Maschinen.pdf. Zugegriffen am 16.03.2021

  • Wel P van der, van Steenbergen H (2018) Pupil dilation as an index of effort in cognitive control tasks: a review. Psychon Bull Rev 25(6):2005–2015

    Google Scholar 

  • Zhong B, Xia L (2018) A systematic review on exploring the potential of educational robotics in mathematics education. Int J Sci Math Educ 12(5):491

    Google Scholar 

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Authors and Affiliations

  1. Uni St. Gallen, St. Gallen, Schweiz

    Sabine Seufert, Josef Guggemos & Stefan Sonderegger

Authors
  1. Sabine Seufert
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  2. Josef Guggemos
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  3. Stefan Sonderegger
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Correspondence to Sabine Seufert .

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Editors and Affiliations

  1. Hochschule für Wirtschaft FHNW, Windisch, Schweiz

    Oliver Bendel

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© 2021 Der/die Herausgeber bzw. der/die Autor(en), exklusiv lizenziert durch Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature

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Seufert, S., Guggemos, J., Sonderegger, S. (2021). Soziale Roboter im Bildungsbereich. In: Bendel, O. (eds) Soziale Roboter. Springer Gabler, Wiesbaden. https://doi.org/10.1007/978-3-658-31114-8_25

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  • DOI: https://doi.org/10.1007/978-3-658-31114-8_25

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  • Publisher Name: Springer Gabler, Wiesbaden

  • Print ISBN: 978-3-658-31113-1

  • Online ISBN: 978-3-658-31114-8

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