The DOI matches its Crossref record; 61 of the 61 references it cites were found in a registry or an index.
Developing a hypothetical multi‐dimensional learning progression for the nature of matter
Abstract
We describe efforts toward the development of a hypothetical learning progression (HLP) for the growth of grade 7–14 students' models of the structure, behavior and properties of matter, as it relates to nanoscale science and engineering (NSE). This multi‐dimensional HLP, based on empirical research and standards documents, describes how students need to incorporate and connect ideas within and across their models of atomic structure, the electrical forces that govern interactions at the nano‐, molecular, and atomic scales, and information in the Periodic Table to explain a broad range of phenomena. We developed a progression from empirical data that characterizes how students currently develop their knowledge as part of the development and refinement of the HLP. We find that most students are currently at low levels in the progression, and do not perceive the connections across strands in the progression that are important for conceptual understanding. We suggest potential instructional strategies that may help students build organized and integrated knowledge structures to consolidate their understanding, ready them for new ideas in science, and help them construct understanding of emerging disciplines such as NSE, as well as traditional science disciplines. © 2009 Wiley Periodicals, Inc. J Res Sci Teach 47:687–715, 2010
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
(1999) · Cited by 12,812
A Handbook of Child Psychology
(1932) · Nature · doi:10.1038/130331a0 · Cited by 10,101
National Science Education Standards
Shea, J. H. (1995) · Journal of Geological Education · doi:10.5408/0022-1368-43.2.102 · Cited by 7,888
Categorization and Representation of Physics Problems by Experts and Novices*
Chi, M. T. H., Feltovich, P. J., & Glaser, R. (1981) · Cognitive Science · doi:10.1207/s15516709cog0502_2 · Cited by 5,248
Educational Psychology: A Cognitive View
Ausubel, D. P., Novak, J. D., & Hanesian, H. (1968) · Medical Entomology and Zoology · Cited by 5,195
Note on the Sampling Error of the Difference Between Correlated Proportions or Percentages
McNemar, Q. (1947) · Psychometrika · doi:10.1007/bf02295996 · Cited by 4,754
Educational Psychology: A Cognitive View
Gagné, R. M., Ausubel, D. P., & Gagne, R. M. (1969) · American Educational Research Journal · doi:10.2307/1161899 · Cited by 3,278
Taking science to school: learning and teaching science in grades K-8
(2008) · Choice Reviews Online · doi:10.5860/choice.45-3327 · Cited by 2,480
Piaget, J. (1976) · Piaget and His School · doi:10.1007/978-3-642-46323-5_2 · Cited by 2,167
Design Research: Theoretical and Methodological Issues
Collins, A., Joseph, D., & Bielaczyc, K. (2004) · Journal of the Learning Sciences · doi:10.1207/s15327809jls1301_2 · Cited by 1,923
National Science Education Standards
(1996) · Choice Reviews Online · doi:10.5860/choice.33-5683 · Cited by 1,835
Reconstructing Mathematics Pedagogy from a Constructivist Perspective
Simon, M. A. (1995) · Journal for Research in Mathematics Education · doi:10.2307/749205 · Cited by 1,474
A Basis for Scaling Qualitative Data
Guttman, L. (1944) · American Sociological Review · doi:10.2307/2086306 · Cited by 1,317
(2004) · Cited by 1,236
Making Sense of Secondary Science: Research into children's ideas
Driver, R., Squires, A., Rushworth, P., & Wood-Robinson, V. (1993) · International Linear Collider · Cited by 770
Internet Environments for Science Education
(2013) · Routledge eBooks · doi:10.4324/9781410610393 · Cited by 767
Why some students don't learn chemistry: Chemical misconceptions
Nakhleh, M. B. (1992) · Journal of Chemical Education · doi:10.1021/ed069p191 · Cited by 724
Chemical Education: Towards Research-based Practice
(2003) · Science & Technology Education Library · doi:10.1007/0-306-47977-x · Cited by 584
diSessa, A. A. (2017) · Converging Perspectives on Conceptual Change · doi:10.4324/9781315467139-3 · Cited by 572
Learning Trajectories in Mathematics Education
Clements, D. H., & Sarama, J. (2004) · Mathematical Thinking and Learning · doi:10.1207/s15327833mtl0602_1 · Cited by 520
Constructivism in the computer age
(1989) · Choice Reviews Online · doi:10.5860/choice.26-6553 · Cited by 516
Grade‐12 students' misconceptions relating to fundamental characteristics of atoms and molecules
Griffiths, A. K., & Preston, K. R. (1992) · Journal of Research in Science Teaching · doi:10.1002/tea.3660290609 · Cited by 480
Secondary students' mental models of atoms and molecules: Implications for teaching chemistry
Harrison, A. G., & Treagust, D. F. (1996) · Science Education · doi:10.1002/(sici)1098-237x(199609)80:5<509::aid-sce2>3.0.co;2-f · Cited by 437
Mathematics and Science Learning: A New Conception
Resnick, L. B. (1983) · Science · doi:10.1126/science.220.4596.477 · Cited by 436
Simon, M. A., & Tzur, R. (2004) · Mathematical Thinking and Learning · doi:10.1207/s15327833mtl0602_2 · Cited by 411
Smith, C. L., Wiser, M., Anderson, C. W., & Krajcik, J. (2006) · Measurement: Interdisciplinary Research & Perspective · doi:10.1080/15366367.2006.9678570 · Cited by 407
Self-citationKrajcik, J., McNeill, K. L., & Reiser, B. J. (2008) · Science Education · doi:10.1002/sce.20240 · Cited by 406
Self-citationSchmidt, W. H., Wang, H. C., & McKnight, C. C. (2005) · Journal of Curriculum Studies · doi:10.1080/0022027042000294682 · Cited by 395
Knowing What Students Know: The Science and Design of Educational Assessment
(2001) · National Academies Press eBooks · doi:10.17226/10019 · Cited by 380
Kesidou, S., & Roseman, J. E. (2002) · Journal of Research in Science Teaching · doi:10.1002/tea.10035 · Cited by 365
Developing a multi‐year learning progression for carbon cycling in socio‐ecological systems
Mohan, L., Chen, J., & Anderson, C. W. (2009) · Journal of Research in Science Teaching · doi:10.1002/tea.20314 · Cited by 349
Learning Difficulties in Chemistry: An Overview
Sirhan, G. (2007) · Journal of Turkish Science Education · Cited by 338
Local Instruction Theories as Means of Support for Teachers in Reform Mathematics Education
Gravemeijer, K. (2004) · Mathematical Thinking and Learning · doi:10.1207/s15327833mtl0602_3 · Cited by 337
Re-framing the problem of conceptual change
Caravita, S., & Halldén, O. (1994) · Learning and Instruction · doi:10.1016/0959-4752(94)90020-5 · Cited by 268
BUILDING THE STRUCTURAL CONCEPTS OF CHEMISTRY: SOME CONSIDERATIONS FROM EDUCATIONAL RESEARCH
TABER, K. S. (2001) · Chem. Educ. Res. Pract. · doi:10.1039/b1rp90014e · Cited by 267
The Knowledge Integration Perspective on Learning and Instruction
Linn, M. C. (2005) · The Cambridge Handbook of the Learning Sciences · doi:10.1017/cbo9780511816833.016 · Cited by 260
An alternative conceptual framework from chemistry education
Taber, K. S. (1998) · International Journal of Science Education · doi:10.1080/0950069980200507 · Cited by 229
Chemistry: Molecules, Matter, and Change
Jones, L. F., & Atkins, P. J. (1997) · Medical Entomology and Zoology · Cited by 197
The Particulate Nature of Matter: Challenges in Understanding the Submicroscopic World
Harrison, A. G., & Treagust, D. F. (2006) · Science & Technology Education Library · doi:10.1007/0-306-47977-x_9 · Cited by 190
A learning pathway in high‐school level quantum atomic physics
Petri, J., & Niedderer*, H. (1998) · International Journal of Science Education · doi:10.1080/0950069980200905 · Cited by 188
Multiple frameworks?: Evidence of manifold conceptions in individual cognitive structure
Taber, K. S. (2000) · International Journal of Science Education · doi:10.1080/095006900289813 · Cited by 173
Learning quanta: Barriers to stimulating transitions in student understanding of orbital ideas
Taber, K. S. (2005) · Science Education · doi:10.1002/sce.20038 · Cited by 167
Modern physics and students’ conceptions
Fischler, H., & Lichtfeldt, M. (1992) · International Journal of Science Education · doi:10.1080/0950069920140206 · Cited by 166
Stefani, C., & Tsaparlis, G. R. (2009) · Journal of Research in Science Teaching · doi:10.1002/tea.20279 · Cited by 138
Using an analogical teaching approach to engender conceptual change
Treagust, D. F., Harrison, A. G., & Venville, G. J. (1996) · International Journal of Science Education · doi:10.1080/0950069960180206 · Cited by 137
Models and Modelling in Chemical Education
Justi, R., & Gilbert, J. K. (2006) · Kluwer Academic Publishers eBooks · doi:10.1007/0-306-47977-x_3 · Cited by 133
An instructional model for a radical conceptual change towards quantum mechanics concepts
Kalkanis, G., Hadzidaki, P., & Stavrou, D. (2003) · Science Education · doi:10.1002/sce.10033 · Cited by 132
Introducing quantum mechanics in the upper secondary school: A study in Norway
Olsen, R. V. (2002) · International Journal of Science Education · doi:10.1080/09500690110073982 · Cited by 130
Learners' Mental Models of Chemical Bonding
Coll, R. K., & Treagust, D. F. (2001) · Research in Science Education · doi:10.1023/a:1013159927352 · Cited by 129
The particulate nature of matter in science education and in science
de Vos, W., & Verdonk, A. H. (1996) · Journal of Research in Science Teaching · doi:10.1002/(sici)1098-2736(199608)33:6<657::aid-tea4>3.0.co;2-n · Cited by 113
Children's understanding of substances, Part 2: Explaining chemical change
Johnson, P. (2002) · International Journal of Science Education · doi:10.1080/09500690110095339 · Cited by 109
Nahum, T. L., Mamlok‐Naaman, R., Hofstein, A., et al. (2007) · Science Education · doi:10.1002/sce.20201 · Cited by 102
Níaz, M. (1998) · Science Education · Cited by 101
The IQWST Experience: Using Coherence as a Design Principle for a Middle School Science Curriculum
Shwartz, Y., Weizman, A., Fortus, D., Krajcik, J., & Reiser, B. J. (2008) · The Elementary School Journal · doi:10.1086/590526 · Cited by 94
Self-citationWhy we should teach the Bohr model and how to teach it effectively
McKagan, S. B., Perkins, K., & Wieman, C. (2008) · Physical Review Special Topics - Physics Education Research · doi:10.1103/physrevstper.4.010103 · Cited by 90
Frailich, M., Kesner, M., & Hofstein, A. (2008) · Journal of Research in Science Teaching · doi:10.1002/tea.20278 · Cited by 88
Comments on the Use of Learning Trajectories in Curriculum Development and Research
Baroody, A. J., Cibulskis, M., Lai, M.-L., & Xia, L. (2004) · Mathematical Thinking and Learning · doi:10.1207/s15327833mtl0602_8 · Cited by 72
Chemistry in Context: Applying Chemistry to Society
Middlecamp, C. H. (1994) · Medical Entomology and Zoology · Cited by 65
A longitudinal study of junior high school students' conceptions of the structure of materials
Margel, H., Eylon, B., & Scherz, Z. (2007) · Journal of Research in Science Teaching · doi:10.1002/tea.20214 · Cited by 62
Franco, A. G., & Taber, K. S. (2008) · International Journal of Science Education · doi:10.1080/09500690802307730 · Cited by 48
Leverage Points for Improving Educational Assessment
Mislevy, R. J., Steinberg, L. S., Almond, R. G., Haertel, G. D., & Penuel, W. R. (2000) · Cited by 35
Cited by
Berland, L. K., & McNeill, K. L. (2010) · Science Education · doi:10.1002/sce.20402 · Cited by 481
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
Learning Progressions in Science: An Evidence-based Approach to Reform
Corcoran, T., Mosher, F., & Rogat, A. (2009) · doi:10.12698/cpre.2009.rr63 · Cited by 362
Measuring progressions: Assessment structures underlying a learning progression
Wilson, M. (2009) · Journal of Research in Science Teaching · doi:10.1002/tea.20318 · Cited by 329
Towards a learning progression of energy
Neumann, K., Viering, T., Boone, W. J., & Fischer, H. E. (2013) · Journal of Research in Science Teaching · doi:10.1002/tea.21061 · Cited by 301
Metadata
- Authors
- Stevens, S. Y., Delgado, C., & Krajcik, J. S.
- Venue
- Journal of Research in Science Teaching
- Publisher
- Wiley
- Published
- 2010-07-16
- Volume
- 47
- Issue
- 6
- Pages
- 687-715
- ISSN
- 0022-4308 (ISSN-L)
- 1098-2736
- OpenAlex
- W2149148166
- Cited by
- 265
- References
- 61
- FWCI
- 59.15
- 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.