The DOI matches its Crossref record.
The Cambridge Handbook of the Learning Sciences
Abstract
Learning sciences is an interdisciplinary field that studies teaching and learning. The sciences of learning include cognitive science, educational psychology, computer science, anthropology, sociology, neuroscience, and other fields. The Cambridge Handbook of the Learning Sciences, first published in 2006, shows how educators can use the learning sciences to design more effective learning environments - including school classrooms and also informal settings such as science centers or after-school clubs, on-line distance learning, and computer-based tutoring software. The chapters in this handbook each describe exciting new classroom environments, based on the latest science about how children learn. CHLS is a true handbook in that readers can use it to design the schools of the future - schools that will prepare graduates to participate in a global society that is increasingly based on knowledge and innovation.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Items 101–115 of 115
Exploring the Applicability of Simple Syntax Writing Practice for Learning Programming
Leinonen, A., Nygren, H., Pirttinen, N., Hellas, A., & Leinonen, J. (2019) · Proceedings of the 50th ACM Technical Symposium on Computer Science Education · doi:10.1145/3287324.3287378 · Cited by 27
Middle leaders’ facilitation of teacher learning in collaborative teams
Lipscombe, K., Buckley-Walker, K., & Tindall-Ford, S. (2023) · School Leadership & Management · doi:10.1080/13632434.2023.2215803 · Cited by 27
Emerging Methodological Challenges for Educational Research
Goodyear, P. (2011) · Methodological Choice and Design · doi:10.1007/978-90-481-8933-5_22 · Cited by 24
Turner, S. L. (2011) · Preventing School Failure: Alternative Education for Children and Youth · doi:10.1080/10459880903472884 · Cited by 23
A Collaborative Clinical Simulation Model for the Development of Competencies by Medical Students
Guinez-Molinos, S., Martínez-Molina, A., Gomar-Sancho, C., Arias González, V. B., Szyld, D., García Garrido, E., & Maragaño Lizama, P. (2017) · Medical Teacher · doi:10.1080/0142159x.2016.1248913 · Cited by 22
Barriers to ITS Adoption: A Systematic Mapping Study
Nye, B. D. (2014) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-07221-0_74 · Cited by 20
JONES, A. (2011) · Educational Philosophy and Theory · doi:10.1111/j.1469-5812.2009.00631.x · Cited by 20
Silseth, K., Steier, R., & Arnseth, H. C. (2024) · International Journal of Computer-Supported Collaborative Learning · doi:10.1007/s11412-023-09413-0 · Cited by 20
(2012) · PubMed · Cited by 19
Matsuda, N., Cohen, W. W., Sewall, J., Lacerda, G., & Koedinger, K. R. (2008) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-69132-7_16 · Cited by 17
Digital assessment environments for scientific inquiry practices
Gobert, J. D., & Sao Pedro, M. A. (2016) · The Handbook of Cognition and Assessment · doi:10.1002/9781118956588.ch21 · Cited by 14
A theoretical and empirical analysis of tensions between learning objects and constructivism
Dahl, J. E., & Mørch, A. (2025) · Education and Information Technologies · doi:10.1007/s10639-025-13636-z · Cited by 12
Kimmerle, J., Moskaliuk, J., Brendle, D., & Cress, U. (2017) · International Journal of Computer-Supported Collaborative Learning · doi:10.1007/s11412-017-9258-6 · Cited by 12
Piecing Together Teamwork: A Responsible Approach to an LLM-based Educational Jigsaw Agent
Doherty, E., Perkoff, E. M., von Bayern, S., Zhang, R., Dey, I., Bodzianowski, M., Puntambekar, S., & Hirshfield, L. (2025) · Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713349 · Cited by 12
Religious Literacy as a Literacy ? Conceptual Elaboration in a 21st Century Learning Framework
Ubani, M. (2025) · Religious Education · doi:10.1080/00344087.2025.2510741 · Cited by 11
Metadata
- Venue
- Cambridge University Press eBooks
- Publisher
- Cambridge University Press
- Published
- 2005-04-24
- OpenAlex
- W1777119744
- Cited by
- 4,601
- References
- 0
- FWCI
- 20.50
- Type
- book
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
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.