The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
The zone of proximal development: Some conceptual issues
Abstract
Vygotsky's ideas about the zone of proximal development are elucidated and extended by inclusion of the theoretical constructs of situation definition, intersubjectivity, and semiotic mediation.
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
Cites
Duncker, K. (1945) · Psychological Monographs · doi:10.1037/h0093599 · Cited by 2,938
Cited by
The Zone of Proximal Development in Vygotsky's Analysis of Learning and Instruction
Chaiklin, S. (2003) · Vygotsky's Educational Theory in Cultural Context · doi:10.1017/cbo9780511840975.004 · Cited by 1,055
Critical distinctions among three approaches to peer education
Damon, W., & Phelps, E. (1989) · International Journal of Educational Research · doi:10.1016/0883-0355(89)90013-x · Cited by 538
The Role of Dialogue in Providing Scaffolded Instruction
Palincsar, A. S. (1986) · Educational Psychologist · doi:10.1080/00461520.1986.9653025 · Cited by 495
Constructive activity and learning in collaborative small groups.
Webb, N. M., Troper, J. D., & Fall, R. (1995) · Journal of Educational Psychology · doi:10.1037/0022-0663.87.3.406 · Cited by 474
Shabani, K., Khatib, M., & Ebadi, S. (2010) · English Language Teaching · doi:10.5539/elt.v3n4p237 · Cited by 458
Why and how to embrace AI such as ChatGPT in your academic life
Lin, Z. (2023) · doi:10.31234/osf.io/sdx3j · Cited by 202
Why and how to embrace AI such as ChatGPT in your academic life
Lin, Z. (2023) · Royal Society Open Science · doi:10.1098/rsos.230658 · Cited by 202
The dialogic mind: a dialogic approach to the higher mental functions
Fernyhough, C. (1996) · New Ideas in Psychology · doi:10.1016/0732-118x(95)00024-b · Cited by 189
AI-assisted knowledge assessment techniques for adaptive learning environments
Minn, S. (2022) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2022.100050 · Cited by 166
Spontaneous tool use and sensorimotor intelligence in Cebus compared with other monkeys and apes
Chevalier-Skolnikoff, S. (1989) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00057678 · Cited by 155
How New Technology Influences Parent—child Interaction: The Case of e-book Reading
Korat, O., & Or, T. (2010) · First Language · doi:10.1177/0142723709359242 · Cited by 94
Promoting thinking, problem‐solving and reasoning during small group discussions
Gillies, R. M. (2011) · Teachers and Teaching · doi:10.1080/13540602.2011.538498 · Cited by 63
Instructional Scaffolding: Foundations and Evolving Definition
Belland, B. R. (2017) · Instructional Scaffolding in STEM Education · doi:10.1007/978-3-319-02565-0_2 · Cited by 40
12 Ways to Empower: Designing for Children’s Digital Autonomy
Wang, G., Zhao, J., Van Kleek, M., & Shadbolt, N. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3580935 · Cited by 34
Rajendram, S. (2019) · Unpublished · doi:10.13140/rg.2.2.31489.61284 · Cited by 11
Apples and oranges: The pitfalls of comparative intelligence
Savage, A., & Snowdon, C. T. (1989) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00057897 · Cited by 7
Computing Education Research Today
Fincher, S. A., Tenenberg, J., Dorn, B., Hundhausen, C., McCartney, R., & Murphy, L. (2019) · The Cambridge Handbook of Computing Education Research · doi:10.1017/9781108654555.003 · Cited by 7
Metadata
- Authors
- Wertsch, J. V.
- Venue
- New Directions for Child and Adolescent Development
- Publisher
- Hindawi Limited
- Published
- 1984-03
- Volume
- 1984
- Issue
- 23
- Pages
- 7-18
- ISSN
- 0195-2269 (ISSN-L)
- 1520-3247
- 1534-8687
- OpenAlex
- W2087109554
- Cited by
- 569
- References
- 1
- FWCI
- 5.58
- Type
- journal article
- 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.