A Systematic Review of Studies on Educational Robotics

Anwar, Sohel; Bascou, Nicholas Alexander; Menekşe, Muhsin; Kardgar, Asefeh

doi:10.7771/2157-9288.1223

Cited by 277 publications

(163 citation statements)

References 124 publications

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“…While the amount of data was relatively small at that time, it was comparable to the amount of data collected in other traditional educational and psychological studies. Research on AI in education over the past few decades has been dedicated to advancing intelligent computing technologies such as intelligent tutoring systems (Graesser et al, 2005;Gobert et al, 2013;Nye, 2015), robotic systems (Toh et al, 2016;Anwar et al, 2019), and chatbots (Smutny and Schreiberova, 2020). With the breakthroughs in information technologies in the last decade, educational psychologists have had greater access to big data.…”

Section: Introductionmentioning

confidence: 99%

Challenges and Future Directions of Big Data and Artificial Intelligence in Education

et al. 2020

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We discuss the new challenges and directions facing the use of big data and artificial intelligence (AI) in education research, policy-making, and industry. In recent years, applications of big data and AI in education have made significant headways. This highlights a novel trend in leading-edge educational research. The convenience and embeddedness of data collection within educational technologies, paired with computational techniques have made the analyses of big data a reality. We are moving beyond proof-of-concept demonstrations and applications of techniques, and are beginning to see substantial adoption in many areas of education. The key research trends in the domains of big data and AI are associated with assessment, individualized learning, and precision education. Model-driven data analytics approaches will grow quickly to guide the development, interpretation, and validation of the algorithms. However, conclusions from educational analytics should, of course, be applied with caution. At the education policy level, the government should be devoted to supporting lifelong learning, offering teacher education programs, and protecting personal data. With regard to the education industry, reciprocal and mutually beneficial relationships should be developed in order to enhance academia-industry collaboration. Furthermore, it is important to make sure that technologies are guided by relevant theoretical frameworks and are empirically tested. Lastly, in this paper we advocate an in-depth dialog between supporters of "cold" technology and "warm" humanity so that it can lead to greater understanding among teachers and students about how technology, and specifically, the big data explosion and AI revolution can bring new opportunities (and challenges) that can be best leveraged for pedagogical practices and learning.

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Section: Introductionmentioning

confidence: 99%

Challenges and Future Directions of Big Data and Artificial Intelligence in Education

et al. 2020

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“…The integration of educational robotics in educational settings has been noted both in and out of school environments to enhance K-12 students' engagement and academic achievement in various fields of STEAM [59] and non-STEAM education [60]. Many systematic reviews on educational robotics in diverse educational settings highlight their potential learning gains [61]. Benitti, in her systematic review [12], reported that the learning gains deriving from the use of robotics could be summarized into two categories: (i) the learning concepts/subjects and (ii) the development of skills.…”

Section: B Investigating the Expected Learning Outcomesmentioning

confidence: 99%

Educational Robotics: Platforms, Competitions and Expected Learning Outcomes

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“…Em tempos em que a utilização de robôs é crescente nas mais diferentes áreas, a Educação, especificamente no sentido de ensino e aprendizagem, observou um crescente número de estudos que investigam a robótica educacional e seu impacto nas habilidades acadêmicas e sociais (ANWAR et al, 2019). Cabe destacar, que a robótica já integra o contexto educativo há muito tempo.…”

Section: Referencial Teóricounclassified

Interação criança-robô: análise e avaliação de indicadores de aceitação de robôs e experiências de interação

Colferai¹,

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Webber³

2019

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Resumo: Este trabalho visa identificar, avaliar e relacionar fatores e indicadores que possam ser aplicados na compreensão da interação entre crianças e robôs no contexto educativo. Apoiados na legislação educacional atual, que determina a incorporação de temas relativos à tecnologia e a computação em todas etapas da Educação Básica, foi planejada e executada uma atividade pedagógica baseada em diferentes experiências sensoriais e cognitivas com um robô humanoide. Participaram da atividade dezenove crianças entre quatro e cinco anos de uma Escola de Educação Infantil privada, os professores titulares das turmas e a professora de robótica. Para avaliar a proposta optou-se por dois tipos de questionários: um aplicado às crianças participantes da pesquisa e outro às professoras titulares das turmas e a professora de robótica. Na avaliação, o resultado com as crianças foi satisfatório, pois pode-se perceber o seu envolvimento nas atividades com um robô, tornando-a lúdica. Por fim, considera-se que a incorporação da robótica em sala de aula estimula a curiosidade das crianças em entender como o robô funciona, desenvolvendo crianças com um potencial crítico e interesse em conhecer a área da tecnologia, da robótica e da programação, e ampliando assim o escopo da aprendizagem. Palavras-chave: Interação criança-robô. Tecnologias de Informação e Comunicação. Atividade Pedagógica.

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A Systematic Review of Studies on Educational Robotics

Cited by 277 publications

References 124 publications

Challenges and Future Directions of Big Data and Artificial Intelligence in Education

Challenges and Future Directions of Big Data and Artificial Intelligence in Education

Educational Robotics: Platforms, Competitions and Expected Learning Outcomes

Interação criança-robô: análise e avaliação de indicadores de aceitação de robôs e experiências de interação

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