In Search of Interplay Among PCK Components: The Case of Novice and Experienced Chemistry Teachers
Author(s):
Fatma Akin (presenting / submitting) Esen Uzuntiryaki-Kondakçı
Conference:
ECER 2015
Format:
Paper

Session Information

ERG SES H 04, Science Education

Paper Session

Time:
2015-09-08
11:00-12:30
Room:
307. [Main]
Chair:
Agnieszka Bates

Contribution

Over the years, there has been remarkable debate among researchers in the field of teacher education about the criteria for being a qualified teacher. One of the criteria, pedagogical content knowledge (PCK), was introduced to the science education community by Shulman (1986). Shulman first conceptualized PCK as a special amalgam of content and pedagogy that guides ‘‘ways of representing and formulating the subject that make it comprehensible to others’’ (p. 9). Since the inception of PCK, researchers have proposed various PCK models (e.g., Grossman, 1990). Although these PCK models identified the components, they do not indicate how the components interact with each other (Friedrichsen, Van Driel, & Abel, 2011). Park and Oliver (2008a) stated that the components interact with each other in highly complex ways and also the interaction among the components is important for PCK development. According to the scholars, in order to effectively plan and enact instruction for a certain group of students in a specific context, teachers must be able to integrate those components into PCK in a coherent way (Loughran, Berry, & Mulhall, 2006).

Surprisingly, careful and deliberate consideration of how these components interplay with each other to structure PCK has been an unexplored issue for science teacher educators until recently (e.g. Park & Chen, 2012), considering the long history of PCK. A few scholars have recently focused on investigating the nature of interaction among all components (e.g. Park & Chen, 2012). Other research only focused on one or two components, examining how two specific components are related (e.g., Cohen & Yarden, 2009), or how the development of one component affects the whole of PCK and one's teaching practice (e.g., Matese, 2005). Therefore, research should elaborate on how teachers use PCK components coherently in order to make the topic more understandable to learners (Friedrichsen et al., 2011; Park and Chen, 2012).

With this in mind, this study explored the nature of the interplay of the five components of PCK: (a) Science Teaching Orientations (STO): teachers' knowledge and beliefs about the goals and purposes of teaching science at a specific grade level, (b) Knowledge of Learner (KoL): teachers’ knowledge about students' difficulties in learning specific topics, and misconceptions related to those topics, (c) Knowledge of Instructional Strategies (KoIS): teachers’ knowledge about science-specific strategies (e.g. Learning cycle) and strategies for specific science topics (e.g., illustrations and analogies), (d) Knowledge of Curriculum (KoC): teachers’ knowledge about both curriculum goals and curricular materials, and (e) Knowledge of Assessment (KoA): teachers’ knowledge about how to assess student performance (e.g., through portfolios or written tests) and what to assess (e.g., science process skills).  

This study was conceptually and analytically grounded in the pentagon model, which defines PCK as interplay of the five components that are mutually related to one another (Park & Oliver, 2008b). In fact, Magnusson et al.’s (1999) PCK model consisted of the same five components as the pentagon model. In addition, Magnusson et al. stated that the significance of the interplay and harmony among the components; however, their model did not reflect their ideas. Their model represented the five components in a linear way. On the one hand, the pentagon model shows the components in a pentagonal form to put emphasis on the reciprocal relation among them putting equal weight on each interplay. Accordingly, the research question guiding this study was: What is the nature of interplay among PCK components of chemistry teachers with different levels of teaching experience in chemical equilibrium topic? 

Method

Case study approach was used as the qualitative methodology (Patton, 2002). Participants were three chemistry teachers from the same high school in Ankara, Turkey. Aysun was the novice teacher with two-year of teaching experience. Berna and Caner were experienced teachers with 12 and 20 years of teaching experience, respectively. Data were collected through card-sorting activity, content representation (CoRe), semi-structured interviews, observations, and field-notes. The CoRe is a matrix that includes big ideas/concepts about the topic in the horizontal axis and factors that affect teachers’ decisions such as learners’ difficulties and ways of assessing students’ understanding in the vertical axis (Loughran, Mulhall, & Berry, 2004). Before the teachers’ instruction, to diagnose their orientations for teaching chemistry, card-sorting activity which was developed by the researchers based on Friedrichsen and Dana (2005) was utilized. Then, we made interviews with the teachers about their CoRes. Next, we observed their classrooms for 5-week periods involving 18 class hours for each teacher. In weekly post-observation interviews, questions related to the PCK, teachers’ implementation of different activities, and reason why they used them were asked. Data were analyzed through three approaches a) In-dept anaylsis of explicit PCK: We first identified “teaching segments” from the teachers’ instructions, which includes an integration of two or more PCK components in the pentagon model. It reflects: teacher’s and students’ role, which components of PCK were integrated in the segment and evidence of the presence of the components identified. b) Enumerative approach: We constructed PCK maps (Park & Chen, 2012) which indicated the connections among the components using the pentagon model. In the PCK Map, the frequency of each connection also indicates the strength of the connection. As the frequency of a connection is higher, the connection is stronger. The frequency of the connection between any two PCK components was summed up across all teaching segments and it was indicated in the PCK Map. c) Constant-comparative method: Data analysis focused on the identification of common patterns that emerged from the data in terms of the nature of the interplay of the components without using a pre-established system of categories or codes (Strauss & Corbin, 1990). For credibility, data triangulation, investigator triangulation, methodology triangulation, peer-debriefing, long-term observation, and rich and thick description of the data were employed. Interrater reliability was calculated as %90.

Expected Outcomes

Analysis of PCK maps yielded three salient features of the interaction among PCK components: (1) the interplay of the components was idiosyncratic: Although the teachers taught the same topic with the same instructional materials, their PCK Maps differed from each other. In particular, as an experienced teacher, Caner demonstrated the most coherently structured PCK map with 58 interactions. The other experienced teacher’s (Berna) PCK map consisted of 44 interactions. Lastly, Aysun, the novice teacher, had PCK map with the lowest interactions (23 interactions). In addition, experienced teachers’ knowledge bases were not only more extensive than those of novice teacher but also differently structured in more highly connected and integrated modes. Berna and Caner had interactions among all components; however, Aysun were not able to utilize all PCK components and relate them. For instance, Aysun did not connect STO and KoL. This feature may result from their teaching experience. (2) Some of the interactions are very simple while some of them are complicated including more than two PCK components: Analysis of teaching segments indicated a number of complexities of interactions. Some of the interplay from Caner’s teaching was so complicated that at least three components informed the others. On the other hand, the interactions from Aysun’s teaching were so simple that one PCK component was related to the other one. (3) Some of the interplays were more frequent than the others: The interplay between some of the PCK components were more strongly connected than others. For instance, in both Caner and Berna’s teaching, the strongest connection between KoL and KoC, and KoC and KoIS. Also, in Aysun’s teaching, the strongest connection between KoL and KoC; but weeker than the experienced teachers’ connections. We could infer that KoC, KoIS and KoL were infleuntial in shaping the experienced teachers’ PCK.

References

Cohen, R., & Yarden, A. (2009). Experienced junior-high-school teachers' PCK in light of a curriculum change: “The cell is to be studied longitudinally. Research in Science Education, 39(1), 131e155. http://dx.doi.org/10.1007/s11165-008- 9088-7. Friedrichsen P. M. and Dana T. M., (2005), Substantive-level theory of highly regarded secondary biology teachers’ science teaching orientations, J. Res. Sci. Teach., 42(2), 218–244. Friedrichsen P. M., van Driel J. H. and Abell S. K., (2011). Taking a closer look at science teaching orientations, Science Education, 95(2), 358–376. Grossman, P.L. (1990). The making of a teacher: Teacher knowledge and teacher education. New York: Teachers College Press. Loughran J., Mulhall P., and Berry A., (2004), In search of pedagogical content knowledge in science: developing ways of articulating and documenting professional practice, Journal of Research in Science Teaching, 41, 370–391, DOI: 10.1002/tea.20007. Loughran, J., Berry, A., & Mulhall, P. (2006). Understanding and developing science teachers’ pedagogical content knowledge. Rotterdam, The Netherlands: Sense Publishers. 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 implications for science education (pp. 95e132). Boston: Kluwer. Matese, G. (2005). Cognitive factors affecting teaching formative assessment practices. Paper presented at the American Educational Research Association, Montreal, Canada. Park, S., & Chen, Y. C. (2012). Mapping out the integration of the components of pedagogical content knowledge (PCK): examples from high school biology classrooms. Journal of Research in Science Teaching, 49(7), 922e941. http:// dx.doi.org/10.1002/tea.21022. Park S. and Oliver J. S., (2008a). Revisiting the conceptualization of pedagogical content knowledge (PCK): PCK as a conceptual tool to understand teachers as professionals, Research in Science Education, 38, 261–284. Park S. and Oliver J. S., (2008b), National Board Certification (NBC) as a Catalyst for Teachers’ Learning about Teaching: The Effects of the NBC Process on Candidate Teachers’ PCK Development, Journal of Research in Science Teaching, 45(7), 812–834, DOI: 10.1002/tea.20234. Patton, M. Q. (2002). Qualitative research and evaluation methods (3rd ed.). Thousand Oaks, CA: Sage. Shulman, L.S. (1986). Those who understand: Knowledge growth in teaching. Educational Researcher, 15(2), 4–14. Strauss, A., & Corbin, J. (1990). Open coding. In A. Strauss, & J. Corbin (Eds.), Basics of qualitative research: Grounded theory procedures and techniques (2nd ed.). (pp. 101e121). Thousand Oaks, CA: Sage Publications.

Author Information

Fatma Akin (presenting / submitting)
Middle East Technical University
Secondary Science and Maths Education
Ankara
Middle East Technical University, Turkey

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