The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Learning is Not a Spectator Sport: Doing is Better than Watching for Learning from a MOOC
Abstract
The printing press long ago and the computer today have made widespread access to information possible. Learning theorists have suggested, however, that mere information is a poor way to learn. Instead, more effective learning comes through doing. While the most popularized element of today's MOOCs are the video lectures, many MOOCs also include interactive activities that can afford learning by doing. This paper explores the learning benefits of the use of informational assets (e.g., videos and text) in MOOCs, versus the learning by doing opportunities that interactive activities provide. We find that students doing more activities learn more than students watching more videos or reading more pages. We estimate the learning benefit from extra doing (1 SD increase) to be more than six times that of extra watching or reading. Our data, from a psychology MOOC, is correlational in character, however we employ causal inference mechanisms to lend support for the claim that the associations we find are causal.
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Cognitive Apprenticeship: Teaching the Crafts of Reading, Writing, and Mathematics
Collins, A., Brown, J. S., & Newman, S. E. (2018) · Knowing, Learning, and Instruction · doi:10.4324/9781315044408-14 · Cited by 3,674
Design-based research: Putting a stake in the ground
Barab, S., & Squire, K. (2004) · Journal of the Learning Sciences · doi:10.1207/s15327809jls1301_1 · Cited by 2,642 · cited 1×
“ACM 978-1-4503-3411-2/15/03. http://dx.doi.org/10.1145/2724660.2724681 [8, 17], and classroom design research iterations [4, 19].”
InfluentialVanLEHN, K. (2011) · Educational Psychologist · doi:10.1080/00461520.2011.611369 · Cited by 2,323
Cognitive Tutors: Lessons Learned
Anderson, J. R., Corbett, A. T., Koedinger, K. R., & Pelletier, R. (1995) · Journal of the Learning Sciences · doi:10.1207/s15327809jls0402_2 · Cited by 1,982
Self-citationFelder, R. M., & Brent, R. (2003) · Cited by 1,089
Koedinger, K. R., Corbett, A. T., & Perfetti, C. (2012) · Cognitive Science · doi:10.1111/j.1551-6709.2012.01245.x · Cited by 772 · cited 1×
“[8, 17], and classroom design research iterations [4, 19].”
Self-citationThe Behavior of Tutoring Systems
VanLehn, K. (2006) · International Journal of Artificial Intelligence in Education · doi:10.3233/irg-2006-16(3)02 · Cited by 749
Exploring the Assistance Dilemma in Experiments with Cognitive Tutors
Koedinger, K. R., & Aleven, V. (2007) · Educational Psychology Review · doi:10.1007/s10648-007-9049-0 · Cited by 632
Self-citationThe theory of learning by doing.
Anzai, Y., & Simon, H. A. (1979) · PubMed · Cited by 605
Cognitive Tutor: Applied research in mathematics education
Ritter, S., Anderson, J. R., Koedinger, K. R., & Corbett, A. (2007) · Psychonomic Bulletin & Review · doi:10.3758/bf03194060 · Cited by 483
Self-citation
Cited by
Kizilcec, R. F., Pérez-Sanagustín, M., & Maldonado, J. J. (2017) · Computers & Education · doi:10.1016/j.compedu.2016.10.001 · Cited by 1,003
How Do We Model Learning at Scale? A Systematic Review of Research on MOOCs
Joksimović, S., Poquet, O., Kovanović, V., Dowell, N., Mills, C., Gašević, D., Dawson, S., Graesser, A. C., & Brooks, C. (2018) · Review of Educational Research · doi:10.3102/0034654317740335 · Cited by 182
Coussement, K., Phan, M., De Caigny, A., Benoit, D. F., & Raes, A. (2020) · Decision Support Systems · doi:10.1016/j.dss.2020.113325 · Cited by 125
Farsight: Fostering Responsible AI Awareness During AI Application Prototyping
Wang, Z. J., Kulkarni, C., Wilcox, L., Terry, M., & Madaio, M. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642335 · Cited by 55
“Math word problem generation with mathematical consistency and problem context constraints,”
Wang, Z., Lan, A., & Baraniuk, R. (2021) · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · doi:10.18653/v1/2021.emnlp-main.484 · Cited by 39
Metadata
- Authors
- Koedinger, K. R., Kim, J., Jia, J. Z., McLaughlin, E. A., & Bier, N. L.
- Venue
- Proceedings of the Second (2015) ACM Conference on Learning @ Scale
- Publisher
- ACM
- Published
- 2015-03-14
- Pages
- 111-120
- OpenAlex
- W2038558034
- Cited by
- 271
- References
- 26
- FWCI
- 17.95
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Koedinger, K. R., Kim, J., Jia, J. Z., McLaughlin, E. A., & Bier, N. L. (2015). Learning is Not a Spectator Sport: Doing is Better than Watching for Learning from a MOOC. Proceedings of the Second (2015) ACM Conference on Learning @ Scale. https://doi.org/10.1145/2724660.2724681
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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