The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
Effectiveness of multimedia‐based instruction that emphasizes molecular representations on students' understanding of chemical change
Abstract
The present study makes use of the capabilities of computerized environments to enable simultaneous display of molecular representations that correspond to observations at the macroscopic level. This study questions the immediate and long‐term effects of using a multimedia instructional unit that integrates the macroscopic, symbolic, and molecular representations of chemical phenomena. Forty‐nine eighth graders received either multimedia‐based instruction that emphasized molecular representations (n = 16), or regular instruction (n = 33). Students who received multimedia‐based instruction that emphasized the molecular state of chemicals outperformed students from the regular instruction group in terms of the resulting test scores and the ease with which they could represent matter at the molecular level. However, results relating to the long‐term effects suggest that the effectiveness of a multimedia‐based environment can be improved if instruction includes additional prompting that requires students to attend to the correspondence between different representations of the same phenomena. © 2004 Wiley Periodicals, Inc. J Res Sci Teach 41: 317–337, 2004
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
Mental Representations: A Dual Coding Approach
Paivio, A. (1986) · Medical Entomology and Zoology · Cited by 5,087
Instructional Design Theories and Models
(1983) · doi:10.4324/9780203824283 · Cited by 2,192
Handbook of research on science teaching and learning
(1995) · Choice Reviews Online · doi:10.5860/choice.32-4019 · Cited by 2,062
Scientific discovery learning with computer simulations of conceptual domains
De Jong, T., & Van Joolingen, W. R. (1998) · Review of Educational Research · doi:10.3102/00346543068002179 · Cited by 1,593
Multimedia learning: Are we asking the right questions?
Mayer, R. E. (1997) · Educational Psychologist · doi:10.1207/s15326985ep3201_1 · Cited by 1,533
Cognitive principles of multimedia learning: The role of modality and contiguity.
Moreno, R., & Mayer, R. E. (1999) · Journal of Educational Psychology · doi:10.1037//0022-0663.91.2.358 · Cited by 1,527
Kozma, R. B. (1991) · Review of Educational Research · doi:10.3102/00346543061002179 · Cited by 1,429
Mayer, R. E., & Sims, V. K. (1994) · Journal of Educational Psychology · doi:10.1037/0022-0663.86.3.389 · Cited by 1,191
Paivio, A. (1990) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195066661.001.0001 · Cited by 1,149
Animations need narrations: an experimental test of a dual-coding hypothesis.
Mayer, R. E., & Anderson, R. B. (1991) · Journal of Educational Psychology · doi:10.1037/0022-0663.83.4.484 · Cited by 883
Kozma, R. B., & Russell, J. (1997) · Journal of Research in Science Teaching · doi:10.1002/(sici)1098-2736(199711)34:9<949::aid-tea7>3.0.co;2-u · Cited by 779
Why some students don't learn chemistry: Chemical misconceptions
Nakhleh, M. B. (1992) · Journal of Chemical Education · doi:10.1021/ed069p191 · Cited by 724
The development of chemistry teaching: A changing response to changing demand
Johnstone, A. H. (1993) · Journal of Chemical Education · doi:10.1021/ed070p701 · Cited by 709
Wu, H., Krajcik, J. S., & Soloway, E. (2001) · Journal of Research in Science Teaching · doi:10.1002/tea.1033 · Cited by 612
The effects of computer animation on the particulate mental models of college chemistry students
Williamson, V. M., & Abraham, M. R. (1995) · Journal of Research in Science Teaching · doi:10.1002/tea.3660320508 · Cited by 383
Is an atom of copper malleable?
Ben-Zvi, R., Eylon, B.-S., & Silberstein, J. (1986) · Journal of Chemical Education · doi:10.1021/ed063p64 · Cited by 331
Maximizing constructivist learning from multimedia communications by minimizing cognitive load.
Mayer, R. E., Moreno, R., Boire, M., & Vagge, S. (1999) · Journal of Educational Psychology · doi:10.1037//0022-0663.91.4.638 · Cited by 319
A cross‐age study of the understanding of five chemistry concepts
Abraham, M. R., Williamson, V. M., & Westbrook, S. L. (1994) · Journal of Research in Science Teaching · doi:10.1002/tea.3660310206 · Cited by 285
Understandings and misunderstandings of eighth graders of five chemistry concepts found in textbooks
Abraham, M. R., Grzybowski, E. B., Renner, J. W., & Marek, E. A. (1992) · Journal of Research in Science Teaching · doi:10.1002/tea.3660290203 · Cited by 284
Using computer animated graphics in science instruction with children.
Rieber, L. P. (1990) · Journal of Educational Psychology · doi:10.1037/0022-0663.82.1.135 · Cited by 233
Concept learning versus problem solving: Revisited
Sawrey, B. A. (1990) · Journal of Chemical Education · doi:10.1021/ed067p253 · Cited by 221
Leutner, D. (1993) · Learning and Instruction · doi:10.1016/0959-4752(93)90011-n · Cited by 219
Njoo, M., & De Jong, T. (1993) · Journal of Research in Science Teaching · doi:10.1002/tea.3660300803 · Cited by 215
Progression in children's understanding of a ‘basic’ particle theory: a longitudinal study
Johnson, P. (1998) · International Journal of Science Education · doi:10.1080/0950069980200402 · Cited by 211
Students' conceptions of chemical change
Hesse, J. J., & Anderson, C. W. (1992) · Journal of Research in Science Teaching · doi:10.1002/tea.3660290307 · Cited by 211
Use of the particle nature of matter in developing conceptual understanding
Gabel, D. L. (1993) · Journal of Chemical Education · doi:10.1021/ed070p193 · Cited by 206
Russell, J. W., Kozma, R. B., Jones, T., Wykoff, J., Marx, N., & Davis, J. (1997) · Journal of Chemical Education · doi:10.1021/ed074p330 · Cited by 205
Bencze, L., & Hodson, D. (1999) · Journal of Research in Science Teaching · doi:10.1002/(sici)1098-2736(199905)36:5<597::aid-tea6>3.0.co;2-6 · Cited by 188
Haidar, A. H., & Abraham, M. R. (1991) · Journal of Research in Science Teaching · doi:10.1002/tea.3660281004 · Cited by 180
Developing and Using Conceptual Computer Animations for Chemistry Instruction
Burke, K. A., Greenbowe, T. J., & Windschitl, M. (1998) · Journal of Chemical Education · doi:10.1021/ed075p1658 · Cited by 159
Student understanding of chemical equation balancing
Yarroch, W. L. (1985) · Journal of Research in Science Teaching · doi:10.1002/tea.3660220507 · Cited by 154
Barker, V., & Millar, R. (1999) · International Journal of Science Education · doi:10.1080/095006999290499 · Cited by 122
Stavridou, H., & Solomonidou, C. (1998) · International Journal of Science Education · doi:10.1080/0950069980200206 · Cited by 88
Effects of repetition on recall and note-taking: Strategies for learning from lectures.
Kiewra, K. A., Mayer, R. E., Christensen, M., Kim, S., & Risch, N. (1991) · Journal of Educational Psychology · doi:10.1037/0022-0663.83.1.120 · Cited by 85
Sanger, M. J. (2000) · Journal of Chemical Education · doi:10.1021/ed077p762 · Cited by 84
A new road to reactions. Part 4. The substance and its molecules
de Vos, W., & Verdonk, A. H. (1987) · Journal of Chemical Education · doi:10.1021/ed064p692 · Cited by 74
Gabriela, M., Ribeiro, M. G. T. C., Pereira, D. J. V. C., & Maskill, R. (1990) · International Journal of Science Education · doi:10.1080/0950069900120406 · Cited by 40
4M:CHEM-Multimedia and Mental Models in Chemistry
Russell, J. W., & Kozma, R. (1994) · Journal of Chemical Education · doi:10.1021/ed071p669 · Cited by 28
Item Design Considerations for Computer-Based Testing of Student Learning in Chemistry
Bowen, C. W. (1998) · Journal of Chemical Education · doi:10.1021/ed075p1172 · Cited by 28
Friedel, A. W., & Maloney, D. P. (1992) · Science Education · doi:10.1002/sce.3730760106 · Cited by 22
Holliday, W. G., & McGuire, B. L. S. (1992) · Journal of Research in Science Teaching · doi:10.1002/tea.3660290103 · Cited by 20
Symposium on Systemic Reform in Chemistry
Russell, A. A. (1997) · Journal of Chemical Education · doi:10.1021/ed074p1268 · Cited by 16
Cited by
Experimental and Quasi-Experimental Studies of Inquiry-Based Science Teaching: A Meta-Analysis
Furtak, E. M., Seidel, T., Iverson, H., & Briggs, D. C. (2012) · Review of Educational Research · doi:10.3102/0034654312457206 · Cited by 1,021
Chandrasegaran, A. L., Treagust, D. F., & Mocerino, M. (2007) · Chem. Educ. Res. Pract. · doi:10.1039/b7rp90006f · Cited by 337
Student Perceptions Using Augmented Reality and 3D Visualization Technologies in Chemistry Education
Abdinejad, M., Talaie, B., Qorbani, H. S., & Dalili, S. (2021) · Journal of Science Education and Technology · doi:10.1007/s10956-020-09880-2 · Cited by 160
Gkitzia, V., Salta, K., & Tzougraki, C. (2011) · Chem. Educ. Res. Pract. · doi:10.1039/c1rp90003j · Cited by 116
Thomann, H., & Deutscher, V. (2025) · Educational Research Review · doi:10.1016/j.edurev.2025.100686 · Cited by 40
Metadata
- Authors
- Ardac, D., & Akaygun, S.
- Venue
- Journal of Research in Science Teaching
- Publisher
- Wiley
- Published
- 2004-03-30
- Volume
- 41
- Issue
- 4
- Pages
- 317-337
- ISSN
- 0022-4308 (ISSN-L)
- 1098-2736
- OpenAlex
- W2149597767
- Cited by
- 294
- References
- 42
- FWCI
- 63.52
- 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.