The DOI matches its Crossref record; 67 of the 67 references it cites were found in a registry or an index.
Blending physical and virtual manipulatives: An effort to improve students' conceptual understanding through science laboratory experimentation
Open accessAbstract
This study aimed to investigate the effect of experimenting with physical manipulatives (PM), virtual manipulatives (VM), and a blended combination of PM and VM on undergraduate students' understanding of concepts in the domain of Light and Color. A pre–post comparison study design was used for the purposes of this study that involved 70 participants assigned to three conditions. The first condition consisted of 23 students that used PM, the second condition consisted of 23 students that used VM, and the third condition consisted of 24 students that used the blended combination of PM and VM. In the case of the blended combination, the use of VM or PM was selected based on whether it provides an affordance that the other medium of experimentation (PM or VM) cannot provide. All conditions used the same inquiry‐oriented curriculum materials and procedures. Conceptual tests were administered to assess students' understanding before, during, and after teaching. Results revealed that the use of a blended combination of PM and VM enhanced students' conceptual understanding in the domain of Light and Color more than the use of PM or VM alone. © 2011 Wiley Periodicals, Inc. Sci Ed 96:21–47, 2012
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
Statistical Power Analysis for the Behavioral Sciences
Muller, K. (1989) · Technometrics · doi:10.1080/00401706.1989.10488618 · Cited by 99,167
Statistical Power Analysis for the Behavioral Sciences (2nd ed.).
Lachenbruch, P. A., & Cohen, J. (1989) · Journal of the American Statistical Association · doi:10.2307/2290095 · Cited by 37,395
A Simple Sequentially Rejective Multiple Test Procedure
(1979) · Scandinavian Journal of Statistics · doi:10.2307/4615733 · Cited by 21,526
National Science Education Standards
Shea, J. H. (1995) · Journal of Geological Education · doi:10.5408/0022-1368-43.2.102 · Cited by 7,888
Accommodation of a scientific conception: Toward a theory of conceptual change
Posner, G. J., Strike, K. A., Hewson, P. W., & Gertzog, W. A. (1982) · Science Education · doi:10.1002/sce.3730660207 · Cited by 5,187
Marton, F., & Booth, S. (2013) · Routledge eBooks · doi:10.4324/9780203053690 · Cited by 3,697
An effect size primer: A guide for clinicians and researchers.
Ferguson, C. J. (2009) · Professional Psychology: Research and Practice · doi:10.1037/a0015808 · Cited by 3,467
The laboratory in science education: Foundations for the twenty-first century
Hofstein, A., & Lunetta, V. N. (2004) · Science Education · doi:10.1002/sce.10106 · Cited by 2,699
The Role of the Laboratory in Undergraduate Engineering Education
Feisel, L. D., & Rosa, A. J. (2005) · Journal of Engineering Education · doi:10.1002/j.2168-9830.2005.tb00833.x · Cited by 1,654
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
National Science Education Standards: (302882005-001)
The National Academy of Sciences; The Center for Education (1996) · PsycEXTRA Dataset · doi:10.1037/e302882005-001 · Cited by 1,555
International Handbook of Research on Conceptual Change
(2009) · Routledge eBooks · doi:10.4324/9780203874813 · Cited by 1,236
Handbook of Applied Social Research Methods
Bickman, L., & Rog, D. J. (1998) · Cited by 1,169
From things to processes: A theory of conceptual change for learning science concepts
Chi, M. T. H., Slotta, J. D., & De Leeuw, N. (1994) · Learning and Instruction · doi:10.1016/0959-4752(94)90017-5 · Cited by 990
Partners in Cognition: Extending Human Intelligence with Intelligent Technologies
SALOMON, G., PERKINS, D. N., & GLOBERSON, T. (1991) · Educational Researcher · doi:10.3102/0013189x020003002 · Cited by 948
Domain-specific knowledge and conceptual change
Carey, S., & Spelke, E. (1994) · Mapping the Mind · doi:10.1017/cbo9780511752902.008 · Cited by 651
Finkelstein, N. D., Adams, W. K., Keller, C. J., Kohl, P. B., Perkins, K. K., Podolefsky, N. S., Reid, S., & LeMaster, R. (2005) · Physical Review Special Topics - Physics Education Research · doi:10.1103/physrevstper.1.010103 · Cited by 645
Wu, H., Krajcik, J. S., & Soloway, E. (2001) · Journal of Research in Science Teaching · doi:10.1002/tea.1033 · Cited by 612
McDermott, L. C., & Shaffer, P. S. (1992) · American Journal of Physics · doi:10.1119/1.17003 · Cited by 560
Guzzetti, B. J., Snyder, T. E., Glass, G. V., & Gamas, W. S. (1993) · Reading Research Quarterly · doi:10.2307/747886 · Cited by 518
Technological advances in inquiry learning
de Jong, T. (2006) · Science · doi:10.1126/science.1127750 · Cited by 469
The Transfer of Scientific Principles Using Concrete and Idealized Simulations
Goldstone, R. L., & Son, J. Y. (2005) · Journal of the Learning Sciences · doi:10.1207/s15327809jls1401_4 · Cited by 452
Engle, R. A. (2006) · Journal of the Learning Sciences · doi:10.1207/s15327809jls1504_2 · Cited by 395
Klahr, D., Triona, L. M., & Williams, C. (2007) · Journal of Research in Science Teaching · doi:10.1002/tea.20152 · Cited by 357
Zacharia, Z. C. (2007) · Journal of Computer Assisted Learning · doi:10.1111/j.1365-2729.2006.00215.x · Cited by 339
Self-citationReconsidering Conceptual Change: Issues in Theory and Practice
(2002) · Kluwer Academic Publishers eBooks · doi:10.1007/0-306-47637-1 · Cited by 322
Physical versus virtual manipulative experimentation in physics learning
Zacharia, Z. C., & Olympiou, G. (2011) · Learning and Instruction · doi:10.1016/j.learninstruc.2010.03.001 · Cited by 306
Self-citationThe process of conceptual change in force and motion during computer-supported physics instruction
Tao, P.-K., & Gunstone, R. F. (1999) · Journal of Research in Science Teaching · doi:10.1002/(sici)1098-2736(199909)36:7<859::aid-tea7>3.0.co;2-j · Cited by 299
Triona, L. M., & Klahr, D. (2003) · Cognition and Instruction · doi:10.1207/s1532690xci2102_02 · Cited by 268
Teaching Physics: Figuring out What Works
Redish, E. F., & Steinberg, R. N. (1999) · Physics Today · doi:10.1063/1.882568 · Cited by 259
Huppert, J., Lomask, S. M., & Lazarowitz, R. (2002) · International Journal of Science Education · doi:10.1080/09500690110049150 · Cited by 259
The Framework Theory Approach to the Problem of Conceptual Change
Vosniadou, S. (2009) · doi:10.4324/9780203874813-7 · Cited by 257
Zacharia, Z., & Anderson, O. R. (2003) · American Journal of Physics · doi:10.1119/1.1566427 · Cited by 245
Self-citationJaakkola, T., Nurmi, S., & Veermans, K. (2011) · Journal of Research in Science Teaching · doi:10.1002/tea.20386 · Cited by 225
Zacharia, Z. C., Olympiou, G., & Papaevripidou, M. (2008) · Journal of Research in Science Teaching · doi:10.1002/tea.20260 · Cited by 225
Self-citationJaakkola, T., & Nurmi, S. (2008) · Journal of Computer Assisted Learning · doi:10.1111/j.1365-2729.2007.00259.x · Cited by 205
The Teacher as Partner: Exploring Participant Structures, Symmetry, and Identity Work in Scaffolding
Tabak, I., & Baumgartner, E. (2004) · Cognition and Instruction · doi:10.1207/s1532690xci2204_2 · Cited by 177
Bara, F., Gentaz, E., Colé, P., & Sprenger-Charolles, L. (2004) · Cognitive Development · doi:10.1016/j.cogdev.2004.05.003 · Cited by 176
Simulation — a bridge between theory and reality: the case of electric circuits
Ronen, M., & Eliahu, M. (2000) · Journal of Computer Assisted Learning · doi:10.1046/j.1365-2729.2000.00112.x · Cited by 167
Kim, M. C., Hannafin, M. J., & Bryan, L. A. (2007) · Science Education · doi:10.1002/sce.20219 · Cited by 167
The Effectiveness of Learning Simulations for Electronic Laboratories
Campbell, J. O., Bourne, J. R., Mosterman, P. J., & Brodersen, A. J. (2002) · Journal of Engineering Education · doi:10.1002/j.2168-9830.2002.tb00675.x · Cited by 162
Appreciating the beauty of science ideas: Teaching for aesthetic understanding
Girod, M., Rau, C., & Schepige, A. (2003) · Science Education · doi:10.1002/sce.1054 · Cited by 158
Learning oceanography from a computer simulation compared with direct experience at sea
Winn, W. D., Stahr, F. R., Sarason, C. P., Fruland, R. M., Oppenheimer, P., & Lee, Y.-L. (2005) · Journal of Research in Science Teaching · doi:10.1002/tea.20097 · Cited by 146
Zacharia, Z. C., & Constantinou, C. P. (2008) · American Journal of Physics · doi:10.1119/1.2885059 · Cited by 144
Self-citationLearning in Chemistry with Virtual Laboratories
Bellido, M. S. C., Martínez-Jiménez, P., Pedrajas, A. P., & Polo, J. (2003) · Journal of Chemical Education · doi:10.1021/ed080p346 · Cited by 142
Design Sensitivity: Statistical Power for Applied Experimental Research
Lipsey, M. W., & Hurley, S. (2009) · Sage eBooks · doi:10.4135/9781483348858.n2 · Cited by 135
Learning and Instruction with Computer Simulations: Learning Processes Involved
de Jong, T., & Njoo, M. (1992) · Computer-Based Learning Environments and Problem Solving · doi:10.1007/978-3-642-77228-3_19 · Cited by 125
diSessa, A. A. (2013) · Routledge eBooks · doi:10.4324/9780203154472.ch2 · Cited by 111
The view of scientific inquiry conveyed by simulation-based virtual laboratories
Chen, S. (2010) · Computers & Education · doi:10.1016/j.compedu.2010.05.009 · Cited by 110
Erdosne Toth, E., Klahr, D., & Chen, Z. (2000) · Cognition and Instruction · doi:10.1207/s1532690xci1804_1 · Cited by 106
An Aesthetic (Deweyan) Perspective on Science Learning: Case Studies of Three Fourth Graders
Girod, M., & Wong, D. (2002) · The Elementary School Journal · doi:10.1086/499700 · Cited by 104
Toth, E. E., Morrow, B. L., & Ludvico, L. R. (2008) · Innovative Higher Education · doi:10.1007/s10755-008-9087-7 · Cited by 99
Integrating Constructivism and Learning Technologies
Hernández‐Serrano, J., Choi, I., & Jonassen, D. H. (2000) · Springer eBooks · doi:10.1007/0-306-47584-7_7 · Cited by 95
Zacharia, Z. C. (2005) · International Journal of Science Education · doi:10.1080/09500690500239664 · Cited by 95
Self-citationVirtual Engineering Laboratories: Design and Experiments
Mosterman, P. J., Dorlandt, M. A. M., Campbell, J. O., Burow, C., Bouw, R., Brodersen, A. J., & Bourne, J. R. (1994) · Journal of Engineering Education · doi:10.1002/j.2168-9830.1994.tb01116.x · Cited by 91
Development and assessment of a research-based tutorial on light and shadow
Wosilait, K., Heron, P. R. L., Shaffer, P. S., et al. (1998) · American Journal of Physics · doi:10.1119/1.18988 · Cited by 85
Preservice teachers' theory development in physical and simulated environments
Marshall, J. A., & Young, E. S. (2006) · Journal of Research in Science Teaching · doi:10.1002/tea.20124 · Cited by 84
Experiment, simulation and analysis: an integrated instructional approach to the concept of force
Doerr, H. M. (1997) · International Journal of Science Education · doi:10.1080/0950069970190302 · Cited by 83
The impacts of a web-aided instructional simulation on science learning
Hsu, Y., & Thomas, R. A. (2002) · International Journal of Science Education · doi:10.1080/09500690110095258 · Cited by 80
Carlsen, D. D., & André, T. (1992) · The Journal of Computer Based Instruction · Cited by 79
Supporting the development of science inquiry skills with special classes of software
Windschitl, M. (2000) · Educational Technology Research and Development · doi:10.1007/bf02313402 · Cited by 77
Using a Computer Simulation Before Dissection to Help Students’ Learn Anatomy
Akpan, J. P., & André, T. (2000) · Cited by 76
Bourne, L. E., & Healy, A. F. (2010) · Wiley eBooks · doi:10.1002/9780470479216.corpsy0333 · Cited by 56
Faryniarz, J. V., & Lockwood, L. G. (1992) · Journal of Research in Science Teaching · doi:10.1002/tea.3660290503 · Cited by 55
The effects of physical and virtual manipulatives on students' conceptual learning about pulleys
Gire, E., Carmichael, A., Chini, J. J., Rouinfar, A., Rebello, N. S., Smith, G., & Puntambekar, S. (2010) · International Conference of Learning Sciences · Cited by 44
Optilab: design and development of an Integrated virtual laboratory for teaching optics
Hatzikraniotis, E., Bisdikian, G., Barbas, A., & Psillos, D. K. (2007) · The Library of Electronic Cyprus Thematic Organized Collections (LYKYTHOS) (University of Cyprus) · Cited by 8
Cited by
Physical and Virtual Laboratories in Science and Engineering Education
de Jong, T., Linn, M. C., & Zacharia, Z. C. (2013) · Science · doi:10.1126/science.1230579 · Cited by 1,083
Self-citationVirtual and remote labs in education: A bibliometric analysis
Heradio, R., de la Torre, L., Galan, D., Cabrerizo, F. J., Herrera-Viedma, E., & Dormido, S. (2016) · Computers & Education · doi:10.1016/j.compedu.2016.03.010 · Cited by 574
Innovating Education and Educating for Innovation: The Power of Digital Technologies and Skills
OECD (2016) · Educational Research and Innovation · doi:10.1787/9789264265097-en · Cited by 367
Conditions for the Effectiveness of Multiple Visual Representations in Enhancing STEM Learning
Rau, M. A. (2017) · Educational Psychology Review · doi:10.1007/s10648-016-9365-3 · Cited by 281
Olympiou, G., Zacharias, Z., & deJong, T. (2013) · Instructional Science · doi:10.1007/s11251-012-9245-2 · Cited by 132
Self-citation
Metadata
- Authors
- Olympiou, G., & Zacharia, Z. C.
- Venue
- Science Education
- Publisher
- Wiley
- Published
- 2011-12-20
- Volume
- 96
- Issue
- 1
- Pages
- 21-47
- ISSN
- 0036-8326 (ISSN-L)
- 1098-237X
- OpenAlex
- W1992894485
- Cited by
- 265
- References
- 67
- FWCI
- 45.71
- Type
- journal article
- Language
- en
- Open access
- bronze
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.