RESEARCH PAPER
Exploring Cluster Changes in Students’ Knowledge Structures Throughout General Chemistry
,
 
 
 
 
More details
Hide details
1
University of California, Davis, USA
 
2
University of Bremen, GERMANY
 
 
Publication date: 2020-03-28
 
 
EURASIA J. Math., Sci Tech. Ed 2020;16(6):em1850
 
KEYWORDS
ABSTRACT
Chemistry is traditionally perceived as difficult to comprehend. Its mastery requires that a variety of concepts be linked to form an organized knowledge system. The connections need to be made not only between the concepts associated with the macroscopic level of the chemistry triplet but also between the submicroscopic and symbolic levels. Many factors influence a learner’s success in bridging concepts between these levels. In this study, the aim was to identify and examine the changes in general chemistry students’ knowledge structures by utilizing Word Association Tests. Although many studies have examined knowledge structures and aspects of the chemistry triplet, almost none has considered both at the same time. This study highlights the interconnectedness between the chemistry triplet and changing knowledge structures in overall student populations and in high- and low-achieving students. It provides insights on why students fail to understand chemistry and suggests ideas for future research as limiting factors were noted.
REFERENCES (58)
1.
Abraham, M. R., Williamson, V. M., & Westbrook, S. L. (1994). A cross-age study of the understanding of five chemistry concepts. Journal of Research in Science Teaching, 31(2), 147-165. https://doi.org/10.1002/tea.36....
 
2.
Adadan, E., & Savasci, F. (2012). An analysis of 16-17-year-old students’ understanding of solution chemistry concepts using a two-tier diagnostic instrument. International Journal of Science Education, 34(4), 513-544. https://doi.org/10.1080/095006....
 
3.
Adadan, E., Trundle, K. C., & Irving, K. E. (2010). Exploring Grade 11 students’ conceptual pathways of the particulate nature of matter in the context of multirepresentational instruction. Journal of Research in Science Teaching, 47(8), 1004-1035. https://doi.org/10.1002/tea.20....
 
4.
Ausubel, D., Novak, J., & Hanesian, H. (1986). Educational psychology: A cognitive view (2 ed.). New York: Holt, Rinehart and Winston.
 
5.
Bahar, M., & Hansell, M. H. (2000). The Relationship Between Some Psychological Factors and their Effect on the Performance of Grid Questions and Word Association Tests. Educational Psychology, 20(3), 349-364. https://doi.org/10.1080/713663....
 
6.
Blake, A. J. D., & Nordland, F. H. (1978). Science instruction and cognitive growth in college students. Journal of Research in Science Teaching, 15(5), 413-419. https://doi.org/10.1002/tea.36....
 
7.
Çalik, M. (2005). A cross-age study of different perspectives in solution chemistry from junior to senior high school. International Journal of Science and Mathematics Education, 3(4), 671-696. https://doi.org/10.1007/s10763....
 
8.
Chemical Education: Towards Research-based Practice. (2003). (J. K. Gilbert, O. De Jong, R. Justi, D. F. Treagust, & J. H. van Driel Eds. 1 ed.). The Netherlands: Springer.
 
9.
De Jong, O., Blonder, R., & Oversby, J. (2013). How to balance chemistry education between observing phenomena and thinking in models. In I. Eilks & A. Hofstein (Eds.), Teaching Chemistry - A Studybook (pp. 97-126). Rotterdam, The Netherlands: Sense.
 
10.
Derman, A., & Eilks, I. (2016). Using a word association test for the assessment of high school students’ cognitive structures on dissolution. Chemistry Education Research and Practice, 17(4), 902-913. https://doi.org/10.1039/C6RP00....
 
11.
Dori, Y. J., & Hameiri, M. (1998). The “Mole environment” studyware: Applying multidimensional analysis to quantitative chemistry problems. International Journal of Science Education, 20, 317-333. https://doi.org/10.1080/095006....
 
12.
Dori, Y. J., & Hameiri, M. (2003). Multidimensional analysis system for quantitative chemistry problems -symbol, macro, micro and process aspects. Journal of Research in Science Teaching, 40, 278-302. https://doi.org/10.1002/tea.10....
 
13.
Dori, Y. J., & Sasson, I. (2008). Chemical understanding and graphical skills in an honors case-based computerized chemistry laboratory environment: The value of bidirectional visual and textual representations. Journal of Research in Science Teaching, 45(2), 219-250. https://doi.org/10.1002/tea.20....
 
14.
Ebenezer, J. V. (2001). A hypermedia environment to explore and negotiate students’ conceptions: Animation of the solution process of table salt. Journal of Science Education and Technology, 10(1), 73-92. https://doi.org/10.1023/A:1016....
 
15.
Ebenezer, J. V., & Erickson, G. L. (1996). Chemistry students’ conceptions of solubility: A phenomenography. Science Education, 80(2), 181-201. https://doi.org/10.1002/(SICI)...<181::AID-SCE4>3.0.CO;2-C.
 
16.
Eilks, I. (2013). Teacher pathways through the particulate nature of matter in lower secondary school chemistry: Continuous switching between different models or a coherent conceptual structure? In G. Tsaparlis & H. Sevian (Eds.), Concepts of Matter in Science Education (pp. 213-230). Dordrecht, The Netherlands: Springer.
 
17.
Garskof, B. E., & Houston, J. P. (1963). Measurement of verbal relatedness: An idiographic approach. Psychological Review, 70(3), 277-288. https://doi.org/10.1037/h00418....
 
18.
Gilbert, J., de Jong, O., Justi, R., Treagust, D. F., & van Driel, J. H. (2003). Chemical Education: Towards Research-based Practice. Dordrecht, The Netherlands: Kluwer.
 
19.
Gulacar, O., Sinan, O., Bowman, C. R., & Yildirim, Y. (2014). Exploring the Changes in Students’ Understanding of the Scientific Method Using Word Associations. Research in Science & Technological Education, 45, 717-726. https://doi.org/10.1007/s11165....
 
20.
Haidar, A., H., & Abraham, M. R. (1991). A comparison of applied and theoretical knowledge of concepts based on the particulate nature of matter. Journal of Research in Science Teaching, 28(10), 919-938. https://doi.org/10.1002/tea.36....
 
21.
Hewson, M. G., & Hewson, P. W. (1983). Effect of instruction using students’ prior knowledge and conceptual change strategies on science learning. Journal of Research in Science Teaching, 20(8), 731-743. https://doi.org/10.1002/tea.36....
 
22.
Hovardas, T., & Korfiatis, K. J. (2006). Word associations as a tool for assessing conceptual change in science education. Learning and Instruction, 16(5), 416-432. https://doi.org/10.1016/j.lear....
 
23.
Isa, A. M., & Maskill, R. (1982). A comparison of science word meaning in the classrooms of two different countries: Scottish integrated science in Scotland and in Malaysia. British Journal of Educational Psychology, 52(2), 188-198. https://doi.org/10.1111/j.2044....
 
24.
Johnson, P. E. (1967). Some psychological aspects of subject-matter nature. Journal of Educational Psychology, 58(2), 75-83. https://doi.org/10.1037/h00244....
 
25.
Johnson, P. E. (1969). On the communication of concepts in science. Journal of Educational Psychology, 60(1), 32-40. https://doi.org/10.1037/h00266....
 
26.
Johnstone, A. H. (1991). Why Is Science Difficult to Learn? Things Are Seldom What They Seem. Journal of Computer Assisted Learning, 7(2), 75-83. https://doi.org/10.1111/j.1365....
 
27.
Johnstone, A. H. (2000). Teaching of chemistry - logical or psychological? Chemistry Education Research and Practice, 1(1), 9-15. https://doi.org/10.1039/A9RP90....
 
28.
Jonassen, D. H., & Marra, R. M. (1994). Concept mapping and other formalisms as mindtools for representing knowledge. Alt-J, 2(1), 50-56. https://doi.org/10.3402/rlt.v2....
 
29.
JPathfinder. (2019). JPathfinder. Retrieved from https://interlinkinc.net/JPath....
 
30.
Lee, K.-W. (1986). Problem solving in electrochemistry: Variables, strategies, and teaching and learning. Monash University, Melbourne, Australia,.
 
31.
Lee, K.-W. (1988). Two non-traditional measures of chemistry learning: Word association and idea association. Research in Science Education, 18(1), 169-176. https://doi.org/10.1007/BF0235....
 
32.
Levy Nahum, T., Mamlok‐Naaman, R., Hofstein, A., & Taber, K. S. (2010). Teaching and learning the concept of chemical bonding. Studies in Science Education, 46(2), 179-207. https://doi.org/10.1080/030572....
 
33.
Liu, X., & Ebenezer, J. (2018). Descriptive Categories and Structural Characteristics of Students’ Conceptions: An exploration of the relationship. Research in Science & Technological Education, 20(1), 111-132. https://doi.org/10.1080/026351....
 
34.
Liu, X., & Lesniak, K. M. (2005). Students’ progression of understanding the matter concept from elementary to high school. Science Education, 89(3), 433-450. https://doi.org/10.1002/sce.20....
 
35.
Magnusson, S., Krajcik, J., & Borko, H. (1999). Nature, sources, and development of pedagogical content knowledge for science teaching. In J. Gess-Newsome & N. G. Lederman (Eds.), Examining pedagogical content knowledge: The construct and its implication for science education (pp. 95-132). Dordrecht, The Netherlands: Kluwer.
 
36.
Markic, S., Broggy, J., & Childs, P. (2013). How to deal with linguistic issues in chemistry classes. In I. Eilks & A. Hofstein (Eds.), Teaching Chemistry - A Studybook (pp. 127-152). Rotterdam, The Netherlands: Sense.
 
37.
Maskill, R., & Cachapuz, A. F. C. (1989). Learning about the chemistry topic of equilibrium: the use of word association tests to detect developing conceptualizations. International Journal of Science Education, 11(1), 57-69. https://doi.org/10.1080/095006....
 
38.
McGowen, M.A. (1998). Cognitive units, concept images, and colligative collages: An examination of the processes of knowledge construction (Doctoral dissertation). Available from ProQuest Dissertations & Theses Global database. (UMI No. 62186328).
 
39.
Nakhleh, M. B. (1992). Why some students don’t learn chemistry. Journal of Chemical Education, 69(3), 191-196. https://doi.org/10.1021/ed069p....
 
40.
Nakiboglu, C. (2008). Using word associations for assessing non major science students’ knowledge structure before and after general chemistry instruction: the case of atomic structure. Chemistry Education Research and Practice, 9(4), 309-322. https://doi.org/10.1039/b81846....
 
41.
Othman, J., Treagust, D. F., & Chandrasegaran, A. L. (2008). An Investigation into the Relationship between Students’ Conceptions of the Particulate Nature of Matter and their Understanding of Chemical Bonding. International Journal of Science Education, 30(11), 1531-1550. https://doi.org/10.1080/095006....
 
42.
Petrey, S. (1977). Word associations and the development of lexical memory. Cognition, 5(1), 57-71. https://doi.org/10.1016/0010-0....
 
43.
Schizas, D., Katrana, E., & Stamou, G. (2013). Introducing network analysis into science education: Methodological research examining secondary school students’ understanding of ‘decomposition’. International Journal of Environmental and Science Education, 8(1), 175-198.
 
44.
Schvaneveldt, R. W. (1990). Proximities, networks, and schemata. In R. W. Schvaneveldt (Ed.), Pathfinder associative networks: Studies in knowledge organization (pp. 135-148). Norwood, NJ: Ablex.
 
45.
Şendur, G., Özbayrak, Ö., & Uyulgan, M. A. (2011). A study of determination of pre-service chemistry teachers’ understanding about acids and bases. Procedia Computer Science, 3, 52-56. https://doi.org/10.1016/j.proc....
 
46.
Shavelson, R. J. (1972). Some aspects of the correspondence between content structure and cognitive structure in physics instruction. Journal of Educational Psychology, 63(3), 225-234. https://doi.org/10.1037/h00326....
 
47.
Shavelson, R. J. (1974). Methods for examining representations of a subject-matter structure in a student’s memory. Journal of Research in Science Teaching, 11(3), 231-249. https://doi.org/10.1002/tea.36....
 
48.
Spekkink, W. (2015). MDS Layout.
 
49.
Spekkink, W. (2019). A simple example of Multidimensional Scaling with R and Gephi. Retrieved from https://www.wouterspekkink.org....
 
50.
Taber, K. S. (2008). Conceptual Resources for Learning Science: Issues of transience and grain‐size in cognition and cognitive structure. International Journal of Science Education, 30(8), 1027-1053. https://doi.org/10.1080/095006....
 
51.
Thomson, D. M., & Tulving, E. (1970). Associative encoding and retrieval: Weak and strong cues. Journal of Experimental Psychology, 86(2), 255-262. https://doi.org/10.1037/h00299....
 
52.
Tsai, C.-C. (2001). Probing students’ cognitive structures in science: the use of a flow map method coupled with a meta-listening technique. Studies in Educational Evaluation, 27(3), 257-268. https://doi.org/10.1016/S0191-....
 
53.
Tyson, L. M., Venville, G. J., Harrison, A. G., & Treagust, D. F. (1997). A multidimensional framework for interpreting conceptual change events in the classroom. Science Education, 81(4), 387-404. https://doi.org/10.1002/(SICI)...<387::AID-SCE2>3.0.CO;2-8.
 
54.
Uzuntiryaki, E., & Geban, Ö. (2005). Effect of conceptual change approach accompanied with concept mapping on understanding of solution concepts. Instructional Science, 33(4), 311-339. https://doi.org/10.1007/s11251....
 
55.
von der Heidt, T. (March 01, 2015). Concept maps for assessing change in learning: a study of undergraduate business students in first-year marketing in China. Assessment & Evaluation in Higher Education, 40, 2, 286-308.
 
56.
West, L., Fensham, P., & Garrand, J. (1985). Describing the cognitive structures of learners following instruction in chemistry. In L. West & L. Pines (Eds.), Cognitive structure and conceptual change (pp. 29-49). Orlando, Florida: Academic Press.
 
57.
White, R. T. (1985). Interview protocols and dimensions of cognitive structure. In L. West & L. Pines (Eds.), Cognitive structure and conceptual change (pp. 51-59). Orlando, Florida: Academic Press.
 
58.
Yildirir, H. E., & Demirkol, H. (2018). Revealing students’ cognitive structure about physical and chemical change: Use of a word association test. European Journal of Education Studies, 4(1), 134-154. https://doi.org/10.5281/zenodo....
 
eISSN:1305-8223
ISSN:1305-8215
Journals System - logo
Scroll to top