Exploring Professional Learning Communities in Turkish Schools

Session Information

01 SES 07 C, Exploring Professional Learning Communities

Paper Session

Time:
2015-09-09
17:15-18:45
Room:
428.Oktatóterem [C]
Chair:
Benedicte Vanblaere

Contribution

In the age of increased effort for extending access to education, both developed and developing countries have also been asked to provide high quality education to all students in order to reduce the achievement gap that emerges among students with distinct levels of socio-economic status (Glewwe  & Kremer, 2006;  Kaarsen, 2014). Teachers—the most important school-related factor for student learning—hold substantial responsibility for improving the quality of the school and education systems serving diverse bodies of students Darling-Hammond, 1999).  In many countries worldwide, while trying to have their students reached proficient levels in standard-based tests, teachers are also required to provide their students with utilitarian conversations, deeper knowledge and connections with the real world which encourage higher quality thinking. However, what reform efforts actually contribute to sustained growth for all students and meet the demand of diverse students in a way that every child masters advance skills remains as a question for researchers. Now, it became clear to many that this is a mission impossible for schools whose teachers deprive of necessary support and constructive interaction with their peers (Morrissey, 2000).

Achieving supportive culture and conditions to succeed important progress in teaching and learning has presented as a critical feature of schools to prevent teachers from working in their own isolated classrooms and to help them to meet the needs of their challenging students (Kumar, 2012). “For more than two decades, research has shown that teachers who experience frequent, rich learning opportunities have in turn been helped to teach in more ambitious and effective ways (Little, 2006 p.1).” In order to provide such “frequent” and “rich learning” opportunities, many reform efforts have applied professional learning communities (PLCs) as a strategy, because effective PLCs improve the quality of teaching and learning (Little, 2006) and “increase student achievement by creating a collaborative school culture focused on learning” (Feger & Arruda, 2008, p.1).

Among all other efforts to improve schools, Cranston (2009) argued that reforming a school into a PLC is the most promising approach. Indeed, strong professional learning communities are found to be correlated with important outcomes for students and school staff (Hausman & Scribner, 2002; Toole & Louis, 2002 as cited in Cranstone, 2009). Successful implementations of PLCs enable schools to effectively address some of the problems that education in the twenty-first century faces (Kumar, 2012). For instance, availability of effective professional learning communities is found to be a considerable driving force for building teacher and school capacity which is correlated with improved achievement for all students (Youngs & King, 2002). Through PLCs, teachers are provided with an access to resources and professional learning opportunities, which are necessary to restructure learning environments to meet the educational needs of their increasingly diverse students (King, Artiles, & Kozleski, 2010).

Despite the fact that the importance of creating PLC in schools has been widely elaborated in the literature, only little research has been done regarding capacity of schools for PLC in Turkey (e.g., Alakurt & Keser, 2014;  Ilgan, A., Erdem, M., Cakmak, A., Erdogmus, E., &, Sevinc, O.S. (2011). Thus, there is not much knowledge regarding current status of PLC and factors associated with its practices in Turkish school context. This study, therefore, aims to assess PLC capability of Turkish schools and examine factors that explain variation in the level of PLC implementations.

Research Questions

The main research questions of this study are as follows:

  1. To what extent professional learning communities (PLC) are created in Turkish schools?
  2. How do participants’ characteristics (gender, age, educational level and experience) explain the variation in the implementation of PLCs in Turkish schools?
  3. How do school characteristics (level and socio-economic status of students) explain the variation in the implementation of PLCs in Turkish schools?

Method

Method Data Collection The participants of this study included approximately 700 teachers from elementary, middle, and high schools in Turkey. To obtain a representative sample, teachers from the seven geographical regions of Turkey were recruited for this study. Data collection was completed by administering a paper-and-pencil form of the PLCA-R to the recruited teachers. Instrument To answer these research questions of this study, the researchers used the Professional Learning Communities Assessment-Revised (PLCA-R; Olivier, Hipp, & Huffman, 2010) and evaluated the effectiveness of professional learning communities in Turkish schools. Because a Turkish version of the PLCA-R did not exist, the researchers translated the PLCA-R items into Turkish and revised the instrument based on the context of Turkish schools, employing various strategies, such as back-translation and think-aloud protocol. The adapted form of the PLC-R consists of six subscales: shared and supportive leadership, shared values and vision, collective learning and application, shared personal practice, supportive conditions-relationships, and supportive conditions-structures. Each subscale includes nine to eleven Likert-type questions where participants evaluate each statement on a 4-point scale. The adapted PLCA-R consists of 52 questions and 11 demographic questions. Statistical Analysis Previous studies on the PLCA-R have gone through construct validity and have yielded satisfactory internal consistency for the subscales of the PLCA-R (Olivier, Hipp, & Huffman, 2010). In this study, first, internal consistency of each subscale was examined using coefficient alpha (Cronbach, 1951). Second, exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) of the data were used to illuminate the underlying factors of the PLCA-R. The selected structure based on the EFA results and the one-factor model, which has been suggested by the authors of the instrument, was tested using CFA. The fit of the CFA models was evaluated based on the factor loadings of the items and model-fit indices: comparative fit index (CFI), Tucker-Lewis index (TLI), and root mean square error of approximation (RMSEA). Lastly, the results of the PLCA-R were examined to understand the relationship of each subscale of the PLCA-R to participant characteristics (e.g., gender, age, work experience, and educational background) and school characteristics (e.g. school level and socio-economic background of students). Descriptive statistics and multiple linear regression analysis were used to examine the relationship between demographic variables obtained from the participants and the PLCA-R subscale scores.

Expected Outcomes

Results & Discussions The current study reveals substantial information regarding the current state of PLC in Turkish schools and therefore it provides important implications for policy makers, researchers and practitioners. Results and implications of this study will be shared and discussed with the audience of the conference upon its acceptance.

References

References Alakurt, T. & Keser, H. (2014). An examination of the knowledge sharing behaviors between members of virtual communities of practice. Elementary Education Online, 13(4), 1331-1351 Cranston, J. (2009). Holding the reins of the professional learning community: Eight themes from research on principal’s perceptions of professional learning communities. Canadian Journal of Educational Administration and Policy, 90(2), 1-22. Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334. Darling-Hammond, L. (1999). Teacher quality and student achievement: A review of state policy evidence. Seattle, WA: Center for the Study of Teaching and Policy, University of Washington. Feger, S., & Arruda, E. (2008). Professional learning communities: Key themes from the literature Education Alliance, Brown University. Glewwe, P., & Kremer, M. (2006). Schools, teachers, and education outcomes in developing countries. Handbook of the Economics of Education, 2, 945-1017. Ilgan, A., Erdem, M., Cakmak, A., Erdogmus, E., &, Sevinc, O.S. (2011) Evaluation of professional learning community of primary schools. Kastamanu Egitim Dergisi, 19(1) 151-166. Kaarsen, N. (2014). Cross-country differences in the quality of schooling. Journal of Development Economics, 107, 215-224. King, K. A., Artiles, A. J., & Kozleski, E. B., (2010). Report: Professional Learning for Culturally Responsive Teaching. Retrieved from http://ea.niusileadscape.org/lc/Record/685 Kumar, R. (2012). Learning communities" and future classroom learning. Little, J. W. (2006). Professional community and professional development in the learning-centered school National Education Association Washington, DC. Morrissey, M. S. (2000). Professional learning communities: An ongoing exploration. Muthén, L.K., & Muthén, B.O. (1998-2010). Mplus User’s Guide. Sixth Edition. Los Angeles, CA: Muthén & Muthén. Olivier, D. F., & Hipp, K. K. (2010). Assessing and Analyzing Schools as Professional Learning Communities. In K. K. Hipp & J. B. Huffman (Eds.). Demystifying professional learning communities: School leadership at its best. Lanham, MD: Rowman & Littlefield Education. Youngs, P., & King, M. B. (2002). Principal leadership for professional development to build school capacity. Educational Administration Quarterly, 38(5), 643-670.

Author Information

Mehmet Bellibas (presenting / submitting)
Adiyaman University
Educational Administration
Adiyaman
University of Alberta, Canada
Michigan State University, USA

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