The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Motivation and Cognitive Engagement in Learning Environments
Abstract
When learning environments are based on learning sciences principles (e.g. project, problem, and design approaches), they are more likely to be motivating for students. The principles – such as authenticity, inquiry, collaboration, and technology – engage learners so that they will think deeply about the content and construct an understanding that entails integration and application of the key ideas of the discipline. For a learning sciences approach to work, students must invest considerable mental effort and must persist in the search for solutions to problems. In many ways, newly designed environments based on learning sciences principles require students to be more motivated than do traditional environments (Blumenfeld et al., 1991). Although there is evidence that students respond positively to these learning environments (Hickey, Moore, & Pellegrino, 2001; Mistler-Jackson & Songer, 2000), it remains unclear whether students are willing to invest the time and energy necessary for gaining the desired level of understanding. Many classroom activities in which students enthusiastically participate do not necessarily get students cognitively engaged. The concept of cognitive engagement couples ideas from motivation research with ideas regarding learning strategy use. It includes students' willingness to invest and exert effort in learning, while employing the necessary cognitive, metacognitive, and volitional strategies that promote understanding (Fredricks, Blumenfeld, & Paris, 2004). The use of strategies can be superficial or deep. Superficial cognitive engagement involves the use of memory and elaboration strategies.
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Cites
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Self-citationRestructuring the Classroom: Conditions for Productive Small Groups
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Cited by
The ICAP framework: Linking cognitive engagement to active learning outcomes
Chi, M. T. H., & Wylie, R. (2014) · Educational Psychologist · doi:10.1080/00461520.2014.965823 · Cited by 2,911
Handbook of Research on Learning and Instruction
(2011) · Routledge eBooks · doi:10.4324/9780203839089 · Cited by 916
How Motivation Influences Student Engagement: A Qualitative Case Study
Saeed, S., & Zyngier, D. (2012) · Journal of Education and Learning · doi:10.5539/jel.v1n2p252 · Cited by 383
Learning progressions and teaching sequences: a review and analysis
Duschl, R., Maeng, S., & Sezen, A. (2011) · Studies in Science Education · doi:10.1080/03057267.2011.604476 · Cited by 375
The Complex World of Adolescent Literacy: Myths, Motivations, and Mysteries
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Metadata
- Authors
- Blumenfeld, P. C., Kempler, T. M., & Krajcik, J. S.
- Venue
- The Cambridge Handbook of the Learning Sciences
- Publisher
- Cambridge University Press
- Published
- 2005-04-24
- Pages
- 475-488
- OpenAlex
- W54308434
- Cited by
- 452
- References
- 9
- FWCI
- 8.19
- Type
- book chapter
- Language
- en
- Open access
- closed
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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.