The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
What are the educational affordances of wearable technologies?
Open accessAbstract
By providing users with hands-free access to contextually relevant knowledge, wearable technologies are poised to inspire a new generation of mobile learning design. However, in order for educators to harness the pedagogical opportunities of wearable technologies it is crucial for them to develop an understanding of their potentials, or ‘affordances’. This paper analysed the perceptions of 66 educators from around the world who self-rated as having a ‘good’ or ‘very good’ understanding of wearable technologies to determine the key educational affordances and issues at stake. Qualitative thematic analysis of participant perceptions, as well as relevant literature, revealed fourteen affordances of wearable technologies and thirteen issues relating to their use. These clustered together into three emergent themes; ‘pedagogical uses’, ‘educational quality’ and ‘logistical’. Utilising the insights of knowledgeable practitioners resulted in nine affordances and issues not identified in the literature, and within the literature there were three issues not identified by the knowledgeable practitioners. The implications of findings for the future of wearable technology learning design are also discussed.
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Cites
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Cited by
Challenges in the online component of blended learning: A systematic review
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Jeon, J., Lee, S., & Choi, S. (2024) · Interactive Learning Environments · doi:10.1080/10494820.2023.2204343 · Cited by 143
Supporting Self-Regulation of Children with ADHD Using Wearables: Tensions and Design Challenges
Cibrian, F. L., Lakes, K. D., Tavakoulnia, A., Guzman, K., Schuck, S., & Hayes, G. R. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376837 · Cited by 81
CoolCraig: A Smart Watch/Phone Application Supporting Co-Regulation of Children with ADHD
Doan, M., Cibrian, F. L., Jang, A., Khare, N., Chang, S., Li, A., Schuck, S., Lakes, K. D., & Hayes, G. R. (2020) · Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3334480.3382991 · Cited by 32
Tang, L., Shen, K., Le, H., Shen, Y., Tan, S., Zhao, Y., Juelich, T., Li, X., Gašević, D., & Fan, Y. (2024) · Journal of Computer Assisted Learning · doi:10.1111/jcal.13036 · Cited by 25
Metadata
- Authors
- Bower, M., & Sturman, D.
- Venue
- Computers & Education
- Publisher
- Elsevier BV
- Published
- 2015-10
- Volume
- 88
- Pages
- 343-353
- ISSN
- 0360-1315 (ISSN-L)
- OpenAlex
- W1454774440
- Cited by
- 267
- References
- 32
- FWCI
- 61.26
- Type
- journal article
- Language
- en
- Open access
- hybrid
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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.
