The DOI matches its Crossref record.
A learning pathway in high‐school level quantum atomic physics
Abstract
In this paper, one student's learning process in a course on quantum atomic physics in grade 13 of a German gymnasium (secondary school) is described. The course lasted 16 weeks for a total of approximately 80 lessons. The aim of the present study is to elaborate the student's cognitive system for atomic physics as a hypothetical pragmatic model to describe, analyse and explain his thinking and learning while interacting with the teaching input. In this paper, the student's learning pathway is described as a sequence of several meta‐stable conceptions of the atom, starting from a planetary model. His final cognitive element 'atom' following teaching is displayed as an association of three parallel conceptions including his initial planetary model, a state‐electron model and an electron‐cloud model. These different conceptions influence his thinking in different 'strengths' and 'status'. In addition, the student's meta‐cognitive beliefs on physics and the way they are affected by a quantum world view are briefly described.
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
Teaching and physics education research: bridging the gap
Fraser, J. M., Timan, A. L., Miller, K., Dowd, J. E., Tucker, L., & Mazur, E. (2014) · Reports on Progress in Physics · doi:10.1088/0034-4885/77/3/032401 · Cited by 422
Individual and Sociocultural Views of Learning in Science Education
Leach, J., & Scott, P. (2003) · Science & Education · doi:10.1023/a:1022665519862 · Cited by 270
Developing a hypothetical multi‐dimensional learning progression for the nature of matter
Stevens, S. Y., Delgado, C., & Krajcik, J. S. (2010) · Journal of Research in Science Teaching · doi:10.1002/tea.20324 · Cited by 265
Taber, K. S. (2001) · International Journal of Science Education · doi:10.1080/09500690010006572 · Cited by 122
Metadata
- Authors
- Petri, J., & Niedderer*, H.
- Venue
- International Journal of Science Education
- Publisher
- Informa UK Limited
- Published
- 1998-11
- Volume
- 20
- Issue
- 9
- Pages
- 1075-1088
- ISSN
- 0950-0693 (ISSN-L)
- 1464-5289
- OpenAlex
- W2144620809
- Cited by
- 188
- References
- 0
- FWCI
- 17.11
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A learning pathway in high‐school level quantum atomic physics. https://app.cochat.ai/papers/10.1080/0950069980200905
- The paper
- Petri, J., & Niedderer*, H. (1998). A learning pathway in high‐school level quantum atomic physics. International Journal of Science Education. https://doi.org/10.1080/0950069980200905
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.