The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
Exploring the role of visualization and engagement in computer science education
Abstract
Visualization technology can be used to graphically illustrate various concepts in computer science. We argue that such technology, no matter how well it is designed, is of little educational value unless it engages learners in an active learning activity. Drawing on a review of experimental studies of visualization effectiveness, we motivate this position against the backdrop of current attitudes and best practices with respect to visualization use. We suggest a new taxonomy of learner engagement with visualization technology. Grounded in Bloom's well-recognized taxonomy of understanding, we suggest metrics for assessing the learning outcomes to which such engagement may lead. Based on these taxonomies of engagement and effectiveness metrics, we present a framework for experimental studies of visualization effectiveness. Interested computer science educators are invited to collaborate with us by carrying out studies within this framework.
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Cited by
A Tool for Introducing Computer Science with Automatic Formative Assessment
Benotti, L., Martinez, M. C., & Schapachnik, F. (2018) · IEEE Transactions on Learning Technologies · doi:10.1109/tlt.2017.2682084 · Cited by 141
An Educational System for Learning Search Algorithms and Automatically Assessing Student Performance
Grivokostopoulou, F., Perikos, I., & Hatzilygeroudis, I. (2017) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-016-0116-x · Cited by 71
Grivokostopoulou, F., Perikos, I., & Hatzilygeroudis, I. (2016) · 2016 IEEE Eighth International Conference on Technology for Education (T4E) · doi:10.1109/t4e.2016.029 · Cited by 58
Engage Against the Machine: Rise of the Notional Machines as Effective Pedagogical Devices
Dickson, P. E., Brown, N. C. C., & Becker, B. A. (2020) · Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education · doi:10.1145/3341525.3387404 · Cited by 32
Al-Sakkaf, A., Omar, M., & Ahmad, M. (2019) · Computer Science Education · doi:10.1080/08993408.2018.1564611 · Cited by 19
Metadata
- Authors
- Naps, T. L., Rößling, G., Almstrum, V., Dann, W., Fleischer, R., Hundhausen, C., Korhonen, A., Malmi, L., McNally, M., Rodger, S., & Velázquez-Iturbide, J. Á.
- Venue
- ACM SIGCSE Bulletin
- Published
- 2002-06-24
- Volume
- 35
- Issue
- 2
- Pages
- 131-152
- ISSN
- 0097-8418 (ISSN-L)
- OpenAlex
- W2150930945
- Cited by
- 641
- References
- 40
- FWCI
- 32.38
- Type
- journal article
- Language
- en
- Open access
- closed
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- Naps, T. L., Rößling, G., Almstrum, V., Dann, W., Fleischer, R., Hundhausen, C., Korhonen, A., Malmi, L., McNally, M., Rodger, S., & Velázquez-Iturbide, J. Á. (2003). Exploring the role of visualization and engagement in computer science education. ACM SIGCSE Bulletin. https://doi.org/10.1145/782941.782998
Data sources
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.