Graphic Comprehension and Interpretation Skills of Preservice Teachers with Different Learning Approaches in a Technology-Aided Learning Environment
A one-group quasi-experimental design and survey methodology were used to investigate the effect of virtual laboratory practices on preservice teachers’ (N = 29) graphic comprehension and interpretation skills with different learning approaches. Pretest and posttest data were collected with the Test of Understanding Kinematic Graphs. The Learning Approaches Scale was administered to the preservice science teachers to determine if they used an in-depth, superficial, or strategic approach. These data were analyzed using non-parametric statistics. The effect of virtual laboratory practices on these preservice teachers’ graphic comprehension and interpretation skills was evaluated, and a significant pretest–posttest gain for “Selecting the graphic related to the explanation of movement” was found. Suggestions are made to address the effects of teaching models and technology-integrated learning environments on students’ learning approach in science courses at different levels of education.
KeywordsGraphic comprehension skill Kinematic Learning approaches Simulation
This study is supported by 2012/119 no. Kırıkkale University Scientific Research Projects Coordination Unit. We would like to express appreciation to Professor Larry Yore and Shari Yore for their mentoring assistance in this article.
- Ak, Ş. (2011). The effects of computer supported problem based learning on students’ approaches to learning. Current Issues in Education, 14(1), 1–17. Retrieved from http://cie.asu.edu/ojs/index.php/cieatasu/article/download/712/85.
- Akbaş, O. & Pektaş, H. M. (2011). The effects of using an interactive whiteboard on the academic achievement of university students. Asia-Pacific Forum on Science Learning and Teaching, 12(2), Article 13. Retrieved from http://www.ied.edu.hk/apfslt/download/v12_issue2_files/akbas.pdf
- Akpan, J. P. (2001). Issues associated with inserting computer simulations into biology instruction: A review of the literature. Electronic Journal of Science Education, 5(3). Retrieved from http://ejse.southwestern.edu/article/view/7656.
- Artelt, C., Baumert, J., Julius-McElvany, N. & Peschar, J. (2003). Learners for life: Student approaches to learning- Results from PISA 2000. Retrieved from https://www.mpib-berlin.mpg.de/Pisa/LearnersForLife.pdf
- Azar, A. & Aydın-Şengüleç, Ö. (2011). Computer-assisted and laboratory-assisted teaching methods in physics teaching: The effect on student physics achievement and attitude towards physics. Eurasian Journal of Physics and Chemistry Education [Special Issue], 43–50. Retrieved from http://www.eurasianjournals.com/index.php/ejpce/
- Biggs, J. B. & Moore, P. J. (1993). The process of learning. New York, NY: Prentice Hall.Google Scholar
- Bjorklund, D. F. (1995). Children’s thinking: Developmental function and individual differences. Pacific Grove, CA: Brooks.Google Scholar
- Büyüköztürk, Ş., Çokluk, Ö. & Köklü, N. (2010). Sosyal Bilimler İçin İstatistik (5. Baskı) [Statistics for social sciences (5th ed.)]. Ankara, Turkey: Pegem Akademi.Google Scholar
- Creswell, J. W. (2009). Research design: Qualitative, quantitative, and mixed methods approaches (3rd ed.). Thousand Oaks, CA: Sage.Google Scholar
- Demirci, N. & Uyanık, F. (2009). Onuncu sınıf öğrencilerinin grafik anlama ve yorumlamaları ile kinematik başarıları arasındaki ilişki [The correlation between tenth grade students’ understanding and interpreting graphs and their kinematics achievement]. Necatibey Eğitim Fakültesi Elektronik Fen ve Matematik Eğitimi Dergisi (EFMED), 3(2), 22–51. Retrieved from http://www.nef.balikesir.edu.tr/~dergi/makaleler/yayinda/7/EFMED_FZE124.pdf.
- Dori, Y. J. & Sasson, I. (2008). Chemical understanding and graphing 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. doi: 10.1002/tea.20197.CrossRefGoogle Scholar
- Ebenezer, J., Kaya, O. N. & Ebenezer, D. L. (2011). Engaging students in environmental research projects: Perceptions of fluency with innovative technologies and levels of scientific inquiry abilities. Journal of Research in Science Teaching, 48(1), 94–116. doi: 10.1002/tea.20387.CrossRefGoogle Scholar
- Ekici, G. (2013). Gregorc ve Kolb öğrenme stili modellerine göre öğretmen adaylarının öğrenme stillerinin cinsiyet ve genel akademik başarı açısından incelenmesi [The analysis of teacher candidates’ learning styles in terms of gender and overall academic success according to Gregorc and Kolb Learning Style Models]. Education and Science, 38(167), 211–225. Retrieved from http://egitimvebilim.ted.org.tr/index.php/EB/article/view/1739.
- Ekinci, N. (2008). Üniversite öğrencilerinin öğrenme yaklaşımlarının belirlenmesi ve öğretme-öğrenme süreci değişkenleri ile ilişkileri [Undergraduate students’ approaches to learning and their relationships with the variables of the teaching-learning process] (Unpublished doctoral dissertation). Hacettepe Üniversitesi Sosyal Bilimler Enstitüsü, Ankara, Turkey.Google Scholar
- Ekinci, N. (2009). Meslek lisesi öğretmenlerinin öğretim biçimleri [Learning approaches of university students]. Education and Science, 34(151), 74–88. Retrieved from http://egitimvebilim.ted.org.tr/index.php/EB/article/view/611.
- Ekiz, D. (2009). Bilimsel araştırma yöntemleri: Yaklaşım, yöntem ve teknikler [Research methods: Approaches, methods and techniques]. Ankara: Anı Yayıncılık.Google Scholar
- Eshach, H. (2010). Re-examining the power of video motion analysis to promote the reading and creating of kinematic graphs. Asia-Pacific Forum on Science Learning and Teaching, 11(2), Article 8. Retrieved from https://www.ied.edu.hk/apfslt/.
- Fadlelmula, F. K., Çakiroglu, E. & Sungur, S. (2014). Developing a structural model on the relationship among motivational beliefs, self-regulated learning strategies, and achievement in mathematics. International Journal of Science and Mathematics Education. Advance online publication. doi: 10.1007/s10763-013-9499-4
- Fife-Schaw, C. (2012). Quasi-experimental designs. In G. M. Breakwell, J. A. Smith & D. B. Wright (Eds.), Research methods in psychology (4th ed., pp. 75–91). London, England: Sage. Retrieved from http://www.uk.sagepub.com/upm-data/46877_Breakwell_Ch04.pdf.
- Gavora, P. (2011). Measuring the self-efficacy of in-service teachers in Slovakia. Orbis Scholae, 5(2), 79–94. Retrieved from http://www.orbisscholae.cz/archiv/2011/2011_2_05.pdf.
- Goodwin, C. J. (2010). Research in psychology: Methods and design (6th ed.). Hoboken, NJ: John Wiley & Sons.Google Scholar
- Meyer, J. H. F. & Muller, M. W. (1990). Evaluating the quality of student learning. I–An unfolding analysis of the association between perceptions of learning context and approaches to studying at an individual level. Studies in Higher Education, 15(2), 131–152. doi: 10.1080/03075079012331377471.CrossRefGoogle Scholar
- Orhun, E. (2002). Design of computer-based cognitive tools. In E. Orhun & P. A. E. Kommers (Eds.), Information and communication technologies in education: A focus on cognitive tools (pp. 157–174). İzmir, Turkey: Cog-Tech Network Ege University.Google Scholar
- Ozan, C. & Çiftçi, M. (2013). Eğitim fakültesi öğrencilerinin öğrenme yaklaşımları tercihleri ve öğrenmeye ilişkin algılarının incelenmesi [Analysis of approaches to learning preferences and perceptions of learning of students in faculty of education]. Pegem Eğitim ve Öğretim Dergisi, 3(1), 55–66.Google Scholar
- Pektaş, H. M., Çelik, H., Katrancı, M. & Köse, S. (2009). Effect of computer-based instruction material on student success in sound and light unit at 5th grade. Kastamonu University Kastamonu Education Journal, 17(2), 657–667. Retrieved from http://www.turkegitimindeksi.com/PDFArticle.aspx.
- Scaife, J. & Wellington, J. (1993). Information technology in science and technology education. Buckingham, England: Open University Press.Google Scholar
- Şengel, E. & Özden, M. Y. (2010). The effects of computer simulated experiments on high school students’ understanding of the displacement and velocity concepts. Eurasian Journal of Educational Research, 39, 191–211. Retrieved from http://www.ejer.com.tr/?git=22&kategori=86&makale=698.
- Sönmez, V. & Alacapinar, F. G. (2011). Örneklendirilmiş bilimsel araştırma yöntemleri [An example of scientific research methods]. Ankara, Turkey: Anı Yayıncılık.Google Scholar
- Taşar, M. F., Kandil-İngeç, S. & Ünlü-Güneş, P. (2002). Grafik çizme ve anlama becerisinin saptanmasI [Measuring students’ skills of drawing and understanding graphs]. Poster session presented at the Fifth National Congress of Science and Mathematics Education. Ankara, Turkey: Middle East Technical University.Google Scholar
- Ulukök, Ş., Çelik, H. & Sarı, U. (2013). Basit elektrik devreleriyle ilgili bilgisayar destekli uygulamaların deneysel süreç becerilerinin gelişimine etkisi [The effects of computer-assisted instruction of simple circuits on experimental process skills]. Kuramsal Eğitimbilim Dergisi, 6(1), 77–101. Retrieved from http://keg.aku.edu.tr/index.php/anasayfa/article/view/252.
- Uşun, S. (2004). Bilgisayar destekli öğretimin temelleri [Foundations of computer assisted instruction]. Ankara, Turkey: Nobel Yayıncılık.Google Scholar
- Uyan, T. & Önen, A. S. (2013). Bilgisayar destekli öğretim uygulamalarının öğretmen adaylarının grafiksel beceri, tutum ve başarılarına etkisi [The effects of computer aided teaching applications on graphical skill, attitude and performances of pre-service teachers]. Hacettepe Üniversitesi Eğitim Fakültesi Dergisi, 44, 331–340. Retrieved from http://www.efdergi.hacettepe.edu.tr/201344T%C3%9CL%C4%B0N%20UYAN.pdf.
- Yılmaz, M., Köseoğlu, P., Gerçek, C. & Soran, H. (2004). Öğretmen öz-yeterlik inancı [Teacher self-efficacy beliefs]. Bilim ve Aklın Aydınlığında Eğitim Dergisi, 5(58). Retrieved from http://baae.meb.gov.tr/