Abstract
Concept map as an effective tool allows learners to deal with an in depth analysis rather than keeping more information which is transferred through lecture based teaching. Concept map also improves the efficiency of computer assisted simulation techniques in learning environments. This research especially focuses on effectiveness of a computer simulated environment and concept mapping and its effect on conceptual understanding of science. In this study, we selected 60 high school students and divided them into two groups (30 students in Group A and 30 students in Group B). The goal of this research is to investigate how the concept maps influence the learning of Direct Current (DC) concept in electric circuits. We collected data by using Determining and Interpreting Resistive Electric Circuit Concepts Test (DIRECT). Covariance analysis indicates significant difference between two groups. Adjusted pretest scores also approve the significant effect of learning with simulation plus concept map in comparison with the sole simulation among learners (Partial eta Squared = 0.08; F = 4.84; p < 0.03). We conclude that students who used simulation along with a concept map (group B) showed better learning than students who used only a simulation software.
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Physics Education Technology (PhET).
References
Tunnicliffe, S.D.: Where does the drink go? Prim. Sci. Rev. 85, 8–10 (2004)
Granklint Enochson, P., Helldén, G., Lindahl, B.: Students’ understanding about the function of the human body in relation to their own health. In: Paper Presented at the Conference ESERA, Malmö University, Sweden (2007)
Rowlands, M.: What do children think happens to the food they eat? J. Biol. Educ. 38(4), 167–171 (2004). Skolverket (two thousand and seven). http://www3.skolverket.se/ki/eng/comp.pdf
Lichtenberger, A., Vaterlaus, A., Wagner, C.: Analysis of student concept knowledge in kinematics. In: Constantinou, C.P., Papadouris, N., Hadjigeorgiou, A. (eds.) Proceedings of the ESERA the 2013th E-Book Conference: Teaching and Coherence in Learning Science Education Research for Evidence Based, Part 11 (Millar, R. & Dolin, J.), pp. 38– 50. ESERA, Nicosia (2014)
Gardner, J.: Testing the efficacy of Merrill’s first principles of instruction in improving student performance in introductory biology courses. All graduate theses and dissertations, Utah State University (2011)
Michael, J.: Where’s the evidence that active learning works? Adv. Physiol. Educ. 30(4), 159–167 (2006)
Halpern, D.F., Hakel, M.D.: Learning that lasts a lifetime: teaching for long-term retention and transfer. New Dir. Teach. Learn. 89, 3–7 (2002)
Mayer, R.E.: Thinking, Problem Solving, Cognition, 2nd edn. WH Freeman, New York (1999)
DiCarlo, S.E.: Cell biology should be taught as science is practiced. Nat. Rev. Mol. Cell Biol. 7(4), 290–295 (2006)
Ebert-May, D., Brewer, C., Allred, S.: Innovation in large lectures: teaching for active learning. Bioscience 47, 601–607 (1997)
Freeman, S., O’Connor, E., Parks, J.W., Cunningham, M., Hurley, D., Haak, D., Dirks, C., Wenderoth, M.P.: Prescribed active learning increases performance in introductory biology. CBE Life Sci. Educ. 6(2), 132–139 (2007)
Salomon, G., Perkins, D.N., Globerson, T.: Partners in cognition: extending human intelligence with intelligent technologies. Educ. Res. 20(3), 2–9 (1991)
Perkins, D.N.: PERSON PLUS: a distributed view of thinking and learning. In: Salomon, G. (ed.) Distributed Cognitions. Cambridge University Press, Cambridge (1993)
Kuhn, D., Dean, D.J.: Is developing scientific thinking all about learning to control variables? Psychol. Sci. 16(11), 866–870 (2005)
Abdullah, S., Abbas, M.: The effects of inquiry-based computer simulation with cooperative learning on scientific thinking and conceptual understanding. Malays. Online J. Instr. Technol. (MOJIT) 3(2), 1–16 (2006)
Ausubel, D.P., Novak, J.D., Hanesian, H.: Educational Psychology: A Cognitive View, 2nd edn. Holt, Rinehart and Winston, New York (1978)
Novak, J.D., Gowin, D.B.: Learning How to Learn. Cambridge University Press, New York (1984)
Raisa, B.G., Jeanette, A.B.: Concept mapping a strategy for teaching and evaluation in nursing education. Nurse Educ. Pract. 6, 196–203 (2006)
Jonassen, D.H., Marra, R.M.: Concept mapping and other formalisms as mindtools for representing knowledge 2(1) (1994)
Materna, L.: Impact of concept mapping upon meaningful learning and metacognition among foundation level associate degree nursing students. Dissertation, Capella University. (2000)
Horton, P.B., McConney, A.A., Gallo, M., Woods, A.L., Senn, G.J., Hamelin, D.: An investigation of the effectiveness of concept mapping as an instructional tool. Sci. Educ. 77(1), 95–111 (1993)
McCagg, E.C., Dansereau, D.F.: A convergent paradigm for examining knowledge mapping as a learning strategy. J. Educ. Res. 84(6), 317–324 (1991)
Chiou, C.C.: The effect of concept mapping on students’ learning achievements and interests. Innov. Educ. Teach. Int. 45(4), 375–387 (2008)
Abbasi, J., Abdullah Mirzaee, R., Hatami, J.: Usage of concept maps in teaching high school chemistry. J. Educ. Train. (97), 29–52 (2009). New Courses, Spring 1388
Zare, M., Zrbkhsh, C., Sarikhani, R.: Effect of concept mapping on academic achievement and high levels of self-regulated learning in physics lessons. Media Mag. 4(4), 18–24 (2012). Winter 92
Huber, F.E.: Effects of concept mapping on learning anatomy and transfer of anatomy knowledge to kinesiology in health sciences students. Doctoral dissertation, West Virginia University (2001)
Markow, P.G., Lonning, R.A.: Usefulness of concept maps in college chemistry laboratories: students’ perceptions and effects on achievement. J. Res. Sci. Teach. 35(9), 1015–1029 (1998)
Beissner, K.L.: Use of concept mapping to improve problem solving. J. Phys. Ther. Educ. 6(1), 22–27 (1992)
Rahmani, A.: Effect of concept mapping in the second semester nursing student nurses learning process. End of a Master, Tabriz University of Medical Sciences (2005)
Bremner, M.N., Aduddell, K., Bennett, D.N., VanGeest, J.B.: Usage of human patient simulators: best practices with novice nursing students. Nurse Educ. 31(4), 170–174 (2006)
Rodgers, D.L.: High-Fidelity patient simulation: a descriptive white paper report. Healthcare Simulation, Charleston (2007). http://simstrategies.com/downloads/Simulation%20White%20Paper2.pdf
Wieman, C.E., Perkins, K.K., Adams, W.K.: Interactive simulations for teaching physics: what works, what does not, and why. Am. J. Phys. 76(4&5), 393–399 (2008)
Mustafa, M.I., Trudel, L.: The impact of cognitive tools on the development of the inquiry skills of high school students in physics. Int. J. Adv. Comput. Sci. Appl. (IJACSA) 4(9), 124–129 (2013)
Finkelstein, N.D., Adams, W.K., Keller, C.K., Kohl, P.B., Perkins, K.K., Podolefsky, N.S., Reid, S., LeMaster, R.: When learning about the real world is better done virtually: a study of substituting computer simulations or laboratory equipment. Phys. Rev. Spec. Top. - Phys. Educ. Res. 1, 010103 (2005)
Engelhardt, P.V., Beichner, R.J.: Students’ understanding of direct current resistive electrical circuits. Am. J. Phys. 72(1), 98–115 (2004)
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Hassanzadeh, M., Hatami, J., Latifi, S., Farrokhnia, M.R., Saheb, T. (2016). Teaching Science for Understanding: The Positive Impact of Simultaneous Use of Concept Mapping and Computer Simulations. In: Cañas, A., Reiska, P., Novak, J. (eds) Innovating with Concept Mapping. CMC 2016. Communications in Computer and Information Science, vol 635. Springer, Cham. https://doi.org/10.1007/978-3-319-45501-3_15
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