CoChat
Sign Up
Cited by 51Various Chemistry Research TopicsExperimental Learning in EngineeringScience Education and Pedagogy

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Integration of simulation into pre-laboratory chemical course: Computer cluster versus WebCT

Limniou, Maria, Papadopoulos, Nikos, Whitehead, Christopher·2009·Computers & Education
DOI 10.1016/j.compedu.2008.06.006
Open this paper in CoChat — free account

Overview

Integrity signals

Registry

Crossref · 10.1016/j.compedu.2008.06.006

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Research works printed but not linked: 34

  1. Anderson, 2005, Gender, voice, and learning in online course environments, Journal of Asynchronous Learning Networks, 9
  2. Bannert, 2002, Managing cognitive load–recent trends in cognitive load theory, Learning and Instruction, 12, 139, 10.1016/S0959-4752(01)00021-4 · DOI · Paper page
  3. Bodner, 1986, Constructivism: A theory of knowledge, Journal of Chemical Education, 63, 873, 10.1021/ed063p873 · DOI
  4. Bodner, 2001, The many forms of constructivism, Journal of Chemical Education, 78, 1107, 10.1021/ed078p1107.4 · DOI
  5. Bunce, 2006, Comparing the effectiveness on student achievement of a student response system versus online WebCT quizzes, Journal of Chemical Education, 83, 488, 10.1021/ed083p488 · DOI
  6. Burnett, 2006, Using a spreadsheet to Fit experimental pH titration data to a theoretical expression: Estimation of analyte concentration and Ka, Journal of Chemical Education, 83, 1190, 10.1021/ed083p1190 · DOI
  7. Cancilla, 2004, Initial design and development of an integrated laboratory network: A new approach for the use of instrumentation in the undergraduate curriculum, Journal of Chemical Education, 81, 1809, 10.1021/ed081p1809 · DOI
  8. Caspi, 2008, Participation in class and in online discussions: Gender differences, Computers & Education, 50, 718, 10.1016/j.compedu.2006.08.003 · DOI
  9. Cooper, 1994, Cooperative chemistry laboratories (NSF), Journal of Chemical Education, 71, 307, 10.1021/ed071p307 · DOI
  10. de Levie, 1999, A general simulator for acid–base titrations, Journal of Chemical Education, 76, 987, 10.1021/ed076p987 · DOI
  11. Garcıa-Luque, 2004, Using a laboratory simulator in the teaching and study of chemical processes in estuarine systems, Computers and Education, 43, 81, 10.1016/j.compedu.2003.12.006 · DOI
  12. Garratt, 1997, Virtual investigations: Ways to accelerate experience, University Chemistry Education, 1, 19
  13. Heil, 2002, Modelling and graphic presentation of acid. base titration curves. presentation of an alternative method, The Chemical Educator, 7, 339, 10.1007/s00897020600a · DOI
  14. Isom, 1986, The effect of a new prelaboratory procedure on students’ achievement in chemistry, Journal of Research in Science Teaching, 23, 231, 10.1002/tea.3660230307 · DOI
  15. Josephsen, 2006, Simulation of laboratory assignments to support students’ learning of introductory inorganic chemistry, Chemistry Education Research and Practice, 7, 266, 10.1039/B6RP90013E · DOI
  16. Kirschner, 2001, Integrated electronic environments for collaboration teaching/learning, Research Dialogue in Learning and Instruction, 2, 1, 10.1016/S0959-4752(00)00021-9 · DOI
  17. Kirschner, 2002, Cognitive load theory: Implications of cognitive load theory on the design of learning, Learning and Instruction, Guest Editorial, 12, 1, 10.1016/S0959-4752(01)00014-7 · DOI · Paper page
  18. Kooser, 2001, Acid–base indicators: A new look at an old topic, Journal of Chemical Education, 78, 1504, 10.1021/ed078p1504 · DOI
  19. Limniou, 2007, The integration of a viscosity simulator in a chemistry laboratory, Chemistry Education Research and Practice, 8, 220, 10.1039/B6RP90032A · DOI
  20. Lyle, 2002, An action research report: Improving pre-laboratory preparation of first-year university chemistry students, Journal of Chemical Education, 79, 663, 10.1021/ed079p663 · DOI
  21. Mayer, 2002, Aids to computers–based multimedia learning, Learning and Instruction, 12, 107, 10.1016/S0959-4752(01)00018-4 · DOI · Paper page
  22. Mayer, 2003, Nine ways to reduce cognitive load in multimedia learning, Educational Psychologist, 32, 43, 10.1207/S15326985EP3801_6 · DOI · Paper page
  23. Meester, 1995, First-year chemistry practicals at universities in England and Wales: Organizational and teaching aspects, International Journal of Science Education, 17, 705, 10.1080/0950069950170603 · DOI
  24. Ngai, 2007, Empirical examination of the adoption of WebCT using TAM, Computers & Education, 48, 250, 10.1016/j.compedu.2004.11.007 · DOI · Paper page
  25. O’Connor, 2004, WebCT role-playing: Immediacy versus e-Mediacy in learning environments, Learning Environments Research, 7, 183, 10.1023/B:LERI.0000037199.30538.89 · DOI
  26. Papadopoulos, 2003, pH Titration simulation, Journal of Chemical Education, 80, 709, 10.1021/ed080p709.2 · DOI
  27. Pogacanik, 2006, How to motivate students to study before they enter the lab, Journal of Chemical Education, 83, 1094, 10.1021/ed083p1094 · DOI
  28. Ritter, 1997, Virtual titrator a student–oriented instrument, Journal of Chemical Education, 74, 120, 10.1021/ed074p120 · DOI
  29. Rollnick, 2001, Improving pre-laboratory preparation of first year university chemistry students, International Journal of Science Education, 23, 1053, 10.1080/09500690110038576 · DOI
  30. Seng, 2002, Online learning, Is it meant for science course?, The Internet and Higher Education, 5, 109, 10.1016/S1096-7516(02)00087-8 · DOI
  31. Shiland, 1999, Constructivism: The implications for laboratory work, Journal of Chemical Education, 74, 730
  32. Thomas, 1995, Harnessing simulations in the service of education: The interact simulation environment, Computers and Education, 25, 21, 10.1016/0360-1315(95)00033-X · DOI
  33. Wilcox, 1997, Modification of a pH titration laboratory experiment, The Chemical Educator, 2, 1, 10.1007/s00897970115a · DOI
  34. Winberg, 2007, Students’ cognitive focus during a chemistry laboratory exercise: Effects of a computer–simulated prelaboratory, Journal of Research in Science Teaching, 44, 1108, 10.1002/tea.20217 · DOI

Cited by

Sorted by citations

See all 51

Metadata

Authors
Limniou, M., Papadopoulos, N., & Whitehead, C.
Affiliations
  • University of Manchester (GB)
  • Aristotle University of Thessaloniki (GR)
Corresponding author
Limniou, Maria
ORCID
Venue
Computers & Education
Publisher
Elsevier BV
Published
2009-01
Volume
52
Issue
1
Pages
45-52
ISSN
0360-1315 (ISSN-L)
DOI
10.1016/j.compedu.2008.06.006
OpenAlex
W1970608529
Cited by
51
References
1
Citations by year
2024: 1 · 2022: 1 · 2021: 3 · 2020: 5 · 2019: 2 · 2018: 4 · 2017: 3 · 2016: 2 · 2015: 8 · 2014: 3 · 2013: 3 · 2012: 4
FWCI
2.45
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations
  • Computers & Education (publishedVersion)
  • Research Explorer (The University of Manchester) (submittedVersion)
Topics
  • Social Sciences › Education › Various Chemistry Research Topics
  • Social Sciences › Education › Experimental Learning in Engineering
  • Social Sciences › Education › Science Education and Pedagogy
Keywords
computer simulation, WebCT, virtual learning environments, cluster computing, teacher role, self-directed learning, collaboration, working memory, chemistry education

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