The potential scope of a humanoid robot in anatomy education: a review of a unique proposal
- PMID: 36127513
- DOI: 10.1007/s00276-022-03020-8
The potential scope of a humanoid robot in anatomy education: a review of a unique proposal
Abstract
Introduction: Applications based on artificial intelligence and machine learning are becoming more popular in teaching learning. Advanced technologies have facilitated robots to carry out various human-like functions, which have navigated the interest of educators to discover the role of robots as potential teachers, instructors, or teaching assistants in education.
Methods: An extensive search for articles for humanoid robots and education either in the title or keywords was done utilizing PubMed, Google Scholar and Web of Science data sets. The tracking terms were artificial intelligence, education, medical education, anatomy, robots, humanoid robots, teaching, teaching assistant and tutor.
Results: The usage of artificial intelligence in the form of humanoid robots is quite common. However, literature citing its usage in medical education is rare. Humanoid robots as a teacher or teaching assistants are predominantly used in learning foreign languages. Primarily, a humanoid robot can discharge five functions as a potential teacher.
Conclusion: Humanoid robots can effectively fulfil numerous educational goals in medicine since they can replicate human responses, work relentlessly regardless of students' repeated mistakes, be loaded with innovative teaching methodologies, and be upgraded with more current information. As a subject of medicine, anatomy is highly visual; therefore, constant endeavors have been initiated to develop technology-enhanced learning over the decades. Although artificial intelligence in humanoid robots has been successfully used in primary education and in learning a foreign language, its scope as an anatomy teacher or teaching assistant is a new and unique idea that needs exploration.
Keywords: Anatomy teaching; anatomy education; Artificial intelligence; Teaching assistant.
© 2022. The Author(s), under exclusive licence to Springer-Verlag France SAS, part of Springer Nature.
References
-
- Akgun S, Greenhow C (2021) Artificial intelligence in education: addressing ethical challenges in K-12 settings. AI Ethics 2:431–440. https://doi.org/10.1007/s43681-021-00096-7 - DOI - PubMed - PMC
-
- Alimisis D (2012) Robotics in education & education in robotics: shifting focus from technology to pedagogy. Robot Educ 9:7–14
-
- Belpaeme T, Vogt P, van den Berghe R et al (2018) Guidelines for designing social robots as second language tutors. Int J Soc Robot 10(3):325–341. https://doi.org/10.1007/s12369-018-0467-6 - DOI - PubMed - PMC
-
- Bredenfeld D, Leimbach T (2010) The roberta® initiative. Intl. Conf. on simulation, modeling and programming for autonomous robots, Darmstadt (Germany) pp 558–567.
-
- Bruner RF (2001) Repetition is the first principle of all learning. SSRN 224340:1–4
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