Imagining robots of the future: Examining sixth-graders’ perceptions of robots through their literary products

Wang, Changzhao; Shen, Ji; Ran, Hua

doi:10.1080/15391523.2022.2030264

Cited by 4 publications

(1 citation statement)

References 42 publications

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“…The widespread concern that robots will take over human jobs or even control humanity has raised questions about how this fear affects children and adolescents and, consequently, the future development of robots. For immediate concerns, comprehending students' perception of robots [11] is vital for successfully integrating robots in classrooms since they are the learners who will take advantage of ER in their learning experience. Previous studies have shown that robots with different appearances and functions received varying levels of acceptance from children.…”

Section: Introductionmentioning

confidence: 99%

Engaging Learners in Educational Robotics: Uncovering Students’ Expectations for an Ideal Robotic Platform

et al. 2023

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Extensive research has been conducted on educational robotics (ER) platforms to explore their usage across different educational levels and assess their effectiveness in achieving desired learning outcomes. However, the existing literature has a limitation in regard to addressing learners’ specific preferences and characteristics regarding these platforms. To address this gap, it is crucial to encourage learners’ active participation in the design process of robotic platforms. By incorporating their valuable feedback and preferences and providing them with platforms that align with their interests, we can create a motivating environment that leads to increased engagement in science, technology, engineering and mathematics (STEM) courses and improved learning outcomes. Furthermore, this approach fosters a sense of absorption and full engagement among peers as they collaborate on assigned activities. To bridge the existing research gap, our study aimed to investigate the current trends in the morphology of educational robotics platforms. We surveyed students from multiple schools in Greece who had no prior exposure to robotic platforms. Our study aimed to understand students’ expectations of an ideal robotic companion. We examined the desired characteristics, modes of interaction, and socialization that students anticipate from such a companion. By uncovering these attributes and standards, we aimed to inform the development of an optimal model that effectively fulfills students’ educational aspirations while keeping them motivated and engaged.

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Section: Introductionmentioning

confidence: 99%