The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
A practicum mentoring model for supporting prospective elementary teachers in learning to teach mathematics
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In the citing paper
“Mentor teachers therefore need to use various mentoring strategies to develop student teachers' MPCK, including aspects such as asking them to read and interpret their performance on a pre-test to gain an understanding of their prior knowledge before teaching a lesson (Lin & Acosta-Tello, 2017).”
From Mentoring and preparing primary school mathematics teachers (2020) · cites this paper as Lin & Acosta-Tello, 2017
In the citing paper
“as Lin and Acosta-Tello (2017) found, the lesson planning discussion between mentors and student teachers will focus on the structural aspects of lessons, with a lack of emphasis on the development of MPCK.”
From Mentoring and preparing primary school mathematics teachers (2020) · cites this paper as Lin and Acosta-Tello (2017)
Citations
Cites
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Research works printed but not linked: 6
- Lin, P. J., & Hsieh, F. J. (2011). Teacher education development and study (TEDS-M2008): at primary level. Taiwan: National Hsinchu University of Education.
- Lin, P.J., & Tsai, W.H. (2007). Exploring in establishment and development of professional standards of mentors. Educational Journal of NCHUE, 24(2), 61–92.
- Lin, P. J., & Tsai, W. H. (Eds.). (2013). Handbook of the indicators and rubrics of the teacher professional standards (school practicum phase). Taiwan: National Hsinchu University of Education.
- Lin, P. J., Yiu, T. D., Yang, D. C., Tsai, W. H., Tang, N. J., & Chang, Y. L. (2011). Future teachers’ opportunity to learn in practicum. In P. J. Lin & F. J. Hsieh (Eds.), Teacher education development and study (TEDS-M2008): at primary level (pp. 147–178). Taiwan: National Hsinchu University of Education.
- Tang, N. J., Lin, P. J., Yang, D. C., Tsai, W. H., Chang, Y. L., & Yiu, T. D. (2011). Future teachers’ opportunity to learn in practicum. In P. J. Lin & F. J. Hsieh (Eds.), Teacher education development and study (TEDS-M2008): at primary level (pp. 181–190). Taiwan: National Hsinchu University of Education.
- Tatto, M. T., Schwille, J., Senk, S. L., Bankov, K., Rodriguez, M., Reckase, M., Ingvarson, L., Rowley, G., & Peck, R. (2012). The Teacher Education Study. In Mathematics (TEDS-M), findings from the IEA study of the mathematics preparation of future teachers. Amsterdam: International Association for the Evaluation of Student Achievement.
Cited by
Mentoring and preparing primary school mathematics teachers
Msimango, N., Fonseca, K., & Petersen, N. (2020) · Perspectives in Education · doi:10.18820/2519593x/pie.v38.i2.18 · Cited by 7
Metadata
- Authors
- Lin, P.-J., & Acosta-Tello, E.
- Affiliations
- National Tsing Hua University (TW)
- National University System (US)
- Corresponding author
- Lin, Pi-Jen
- ORCID
- Lin, Pi-Jen
- Venue
- ZDM
- Published
- 2017-01-21
- Volume
- 49
- Issue
- 2
- Pages
- 223-236
- ISSN
- 1615-679X (ISSN-L)
- 1863-9690
- 1863-9704
- OpenAlex
- W2585670171
- Cited by
- 9
- References
- 26
- Citations by year
- 2026: 1 · 2025: 2 · 2023: 1 · 2022: 1 · 2021: 1 · 2020: 1 · 2017: 2
- FWCI
- 2.93
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- ZDM (publishedVersion)
- Funders
- Ministry of Earth Sciences
- Ministry of Education, India
- Topics
- Social Sciences › Education › Mathematics Education and Teaching Techniques
- Social Sciences › Education › Teacher Education and Leadership Studies
- Social Sciences › Education › Teacher Education and Assessments
- Keywords
- pre-service primary teachers, mathematics teacher education, mentoring model, university-school partnership, teacher professional development, Chinese language teaching
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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.
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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.