Roles, applications, and research designs of robots in science education: a systematic review and bibliometric analysis of journal publications from 1996 to 2020

Chiu, Min‐Chi; Hwang, Gwo‐Jen; Tu, Yun-Fang

doi:10.1080/10494820.2022.2129392

Cited by 12 publications

(4 citation statements)

References 61 publications

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“…Concerning the fourth research question, a theoretical basis of the coding scheme was tailored from existing reviews as designed by Ng et al, 2022 , Ng, Leung, Chu, & Qiao, 2021 , Fang et al (2019) and Hwang and Fu (2019) which consisted of four key elements: pedagogy, technology, learning outcomes and challenges. Regarding RQ4, this study conducted a co-occurrence analysis using the VOSviewer software to generate 177 keywords that occurred throughout the articles at least five times ( Chiu et al, 2022 ; Su et al, 2022 ). Then, the first and second authors categorized the keywords and also identified four key themes for online management education.…”

Section: Methodsmentioning

confidence: 99%

Online learning in management education amid the pandemic: A bibliometric and content analysis

Ching

Law

2023

The International Journal of Management Education

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Section: Methodsmentioning

confidence: 99%

Online learning in management education amid the pandemic: A bibliometric and content analysis

Ching

Law

2023

The International Journal of Management Education

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“…In the era of AI, robotics education has become increasingly popular in K-12 (Chiu et al, 2022;Chu et al, 2022;Zhang et al, 2023;Zhong et al, 2019). Precedent studies have revealed that robotics education plays a crucial role in promoting students' learning and development, including robotics knowledge, programming skills, computational thinking, working memory, inhibitory control, STEM subject learning, and 21st-century competencies (Bers et al, 2019;Chen et al, 2017;Di Lieto et al, 2017;Relkin et al, 2021;Zhang & Zhu, 2022).…”

Section: Robotics Educationmentioning

confidence: 99%

“…Research shows that the integration of LEGO-based assignments into learning activities can arouse students’ learning interest (Lawhead et al, 2002). In this sense, choosing an appropriate educational robot can improve teaching effects and lay a solid foundation for engaging students in effective robotics courses (Chiu et al, 2022; Chu et al, 2022; Zhang & Zhu, 2022). Therefore, the present study adopted the LEGO Mindstorms kit as the learning instrument, hoping to provide students with more attractive and effective experiences in robotics education.…”

Section: Literature Reviewmentioning

confidence: 99%

Engaging Young Students in Effective Robotics Education: An Embodied Learning-Based Computer Programming Approach

Zhang,

Chen,

et al. 2023

Journal of Educational Computing Research

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Robotics education has received widespread attention in K-12 education. Studies have pointed out that in robotics courses, learners face challenges in learning abstract content, such as constructing a robot with a good structure and writing programs to drive a robot to complete specific learning tasks. The present study proposed the embodied learning-based computer programming approach and applied it to the LEGO Mindstorms EV3 robotics course. To evaluate its effectiveness, a quasi-experiment was conducted in one public primary school to explore its effects on students’ learning achievement, learning motivation, learning attitudes, learning engagement, and cognitive load. The experimental group (40 students) adopted the embodied learning-based computer programming approach, while the control group (40 students) adopted the conventional computer programming approach. The results showed that the experimental group had significantly better learning achievement in robotics than the control group, and that there was no significant difference in the cognitive load of the two groups. In terms of learning motivation, although both groups showed improvement, the experimental group had higher intrinsic learning motivation. In addition, the experimental group outperformed the control group with regard to learning attitudes and learning engagement (including cognitive, behavioral, and emotional engagement). Accordingly, this study could contribute to future research for developing more effective robotics teaching approaches and computer programming activity design.

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“…Previous scholarly reviews have conducted comprehensive explorations of various aspects related to educational robots, encompassing a wide range of elements such as geographical distribution, academic journal coverage, citation metrics, author contributions, keyword analysis, participant demographics, sample sizes, age groups, intervention durations, types of robots, robot roles, research methodologies, intervention strategies, measurement tools, learning domains, and pedagogical approaches [13][14][15][16]. Notwithstanding this broad research scope, there remain untapped avenues warranting closer scrutiny, notably the realms of robotic support, the personality of robots, and the challenges emerging from their application.…”

Section: Introductionmentioning

confidence: 99%

Physical Robots in Education: A Systematic Review Based on the Technological Pedagogical Content Knowledge Framework

Wang,

Luo,

Zhou

et al. 2024

Sustainability

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Driven by the wave of artificial intelligence, the educational practice and application of robots have become increasingly common. Despite extensive coverage in the literature on various aspects of educational robots, there are still unexplored avenues, particularly regarding robotic support, robotic personality, and challenges in their applications. This study presented a systematic review of high-quality empirical research on the use of physical robots in educational settings. A total of 92 relevant papers from the Web of Science database were analyzed. Employing the technological pedagogical content knowledge (TPCK) framework, we investigated research questions across seven components, including the learning domain, teaching strategy, robot types, learning results, problems with using robots, robotic support, and robotic personality. The findings revealed that robots are most prevalently employed in language learning applications. When opting for teaching strategies, educators tend to favor those that incorporate physical interaction. Concurrently, humanoid robots emerge as the preferred choice among many. These robots, in human–robot interaction scenarios, often exhibit an agreeable personality. In terms of evaluating learning results, cognitive aspects like thinking, creativity, self-regulation, and inquiry ability are especially emphasized. Such results are frequently influenced by the informational and emotional support provided by robots. Nonetheless, challenges encountered by teachers, learners, and robots in this process are not to be overlooked. The findings of this study contributed to future applications of robotics in education.

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Roles, applications, and research designs of robots in science education: a systematic review and bibliometric analysis of journal publications from 1996 to 2020

Cited by 12 publications

References 61 publications

Online learning in management education amid the pandemic: A bibliometric and content analysis

Online learning in management education amid the pandemic: A bibliometric and content analysis

Engaging Young Students in Effective Robotics Education: An Embodied Learning-Based Computer Programming Approach

Physical Robots in Education: A Systematic Review Based on the Technological Pedagogical Content Knowledge Framework

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