The DOI matches its Crossref record.
An Interactive Robotic Fish Exhibit for Designed Settings in Informal Science Learning
Abstract
Informal science learning aims to improve public understanding of STEM. Free-choice learners can be engaged in a wide range of experiences, ranging from watching entertaining educational videos to actively participating in hands-on projects. Efforts in informal science learning are often gauged by their ability to elicit interaction, to foster learning, and to influence perceptions of STEM fields. This paper presents the installation of a biomimetic robotic fish controlled by an iDevice application at an informal science learning exhibit. Visitors to the exhibit are offered a unique experience that spans engineering and science, in which they can steer the robotic fish, choosing from three modes of control. Visitor engagement is examined through the lens of the Selinda model of visitor learning, while their behavior is examined using an adapted model of Borun's framework for behaviors indicative of learning. The evaluation of the efficacy of the exhibit is assessed through a post-experience survey questionnaire, an analysis of the application usage, and a behavior coding study. Data collected on visitor interactions with the exhibit indicate that free-choice learners value the importance of engineering research, and prefer interactive modes. Further, behavior coding results support the ability of the robotic fish platform to capture the visitors' attention. Findings offer compelling evidence that the exhibit is both highly engaging to visitors and a suitable format for scienc…
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“Phamduy et. al. (2017) investigated a robotic fish exhibit to analyze visitors' experience of controlling and interacting with the robot.”
From Trends and research foci of robotics-based STEM education: a systematic review from diverse angles based on the technology-based learning model (2023) · cites this paper as Phamduy et. al. (2017)
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Cited by
Darmawansah, D., Hwang, G.-J., Chen, M.-R. A., & Liang, J.-C. (2023) · International Journal of STEM Education · doi:10.1186/s40594-023-00400-3 · Cited by 147
“…learning behavior, five out of 39 studies measured students’ learning behavior, such as students’ engagement with robots (Ma et al., 2020), students’ social behavior while interacting with robots (Konijn & Hoorn, 2020), and learner–parent interactions with interactive robots (Phamduy et al., 2017).”
Background
Metadata
- Authors
- Phamduy, P., Leou, M., Milne, C., & Porfiri, M.
- Affiliations
- New York University (US)
- Venue
- IEEE Transactions on Education
- Published
- 2017-11
- Volume
- 60
- Issue
- 4
- Pages
- 273-280
- ISSN
- 0018-9359 (ISSN-L)
- 1557-9638
- OpenAlex
- W2616626704
- Cited by
- 6
- References
- 0
- Citations by year
- 2026: 1 · 2024: 3 · 2023: 1 · 2022: 1
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- IEEE Transactions on Education (publishedVersion)
- Funders
- National Science Foundation (CMMI-0745753, DGE-0741714, DRL-1200911)
- Topics
- Social Sciences › Arts and Humanities › Museology › Museums and Cultural Heritage
- Social Sciences › Education › Educational Robotics and Engineering
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Keywords
- robotic fish, biomimetic robots, informal science learning, free-choice learning, visitor engagement, STEM outreach, interactive exhibits, mobile app control, visitor attention, scientific inquiry
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.