Araştırma Makalesi
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Effect of Self-Evaluation on Pre-service Mathematics Teachers’ Self-Efficacy in Language of Mathematics

Yıl 2017, Cilt: 7 Sayı: 1, 1 - 34, 16.02.2017

Öz

Mathematics is a
universal language and mathematics teachers are responsible for teaching this
language. However, teachers generally ignore knowledge and skills of
mathematical language and this may be explained by Bandura’s (1997)
self-efficacy theory (Gray, 2004). The aim of this study was to investigate the
effect of self-evaluation of pre-service elementary mathematics teachers on
their self-efficacies with regard to language of mathematics by using the mixed
method sequential explanatory design. The data was obtained with the developed
instrument quantitatively in the first phase and qualitatively in the second
phase. The results of the first phase indicated that there was no significant
difference between pretest and posttest self-efficacy scores. On the other
hand, the results of the second phase indicated that participants perceived the
language of mathematics as using native language or using pedagogical
approaches and they weren’t aware of the responsibility of teaching the
language of mathematics besides mathematical concepts. 

Kaynakça

  • Airasian, P. & Gullickson, A. (1997). Teacher self-evaluation tool kit. Thousand Oaks, California: Corwin Press.
  • Bandura, A. (1997). Self-efficacy: The exercise of control. New York: Freeman.
  • Bohen, D. B. (2000). How teacher candidates view and value the certification process of the National Board for Professional Teaching Standards. Viginia, USA: George Mason University.
  • Covington, M. V. (1992). Making the grade: A self-worth perspective on motivation and School Reform. Cambridge, UK:Cambridge University Press.
  • Cresswell, J. W. (2003). Research design: Qualitative, quantitative, and mixed methods approaches set (2nd ed.) Thousand Oaks, CA: Sage Publications.
  • Cresswell, J. W., & Plano Clark, V. L. (2011). Designing and conducting mixed methods research. Thousand Oaks, CA:Sage Publications.
  • Cresswell, J. W., Plano Clark, V. L., Gutmann, M. & Hanson, W. E. (2003). Advanced mixed methods designs. In A. Tashakkori & C. Teddlie (Eds.), Handbook of mixed method research in the social and behavioral sciences (pp.209-240). Thousand Oaks, CA: Sage Publications.
  • Eckart, J. & Gibson, S. L. (1993). Using camcorders to improve teaching. The Clearing House, 65(5), 288-292. Retrieved from http://eds.a.ebscohost.com/eds/detail/detail?vid =2&sid=29cbc07d-8d904c629ad1b870715fc318%40sessionmgr4008&hid=4213&bdata=Jmxhbmc9dHImc2l0ZT1lZHMtbGl2ZQ%3d%3d#N=edsjsr.30188899&db=edsjsr
  • Esty, W. W. (2004/ unpublished manuscript). The language of mathematics.
  • Finn, L. E. (2002). Using video to reflect on curriculum. Educational Leadership, 59(6), 72-74.
  • Fraenkel, J. R., & Wallen, N. E. (1996). How to design and evaluate research in education (3rd ed.). New York: McGraw-Hill.
  • Frederiksen, J. R., Sipusic, M., Sherin, M., & Wolfe, E. W. (1998). Video portfolio assessment: Creating a framework for viewing the functions of teaching. Educational Assessment, 5(4), 225-297.
  • Gist, M.E. & Mitchell, T.R. (1992). Self-efficacy: A theoretical analysis of its determinants and malleability. The Academy of Management Review, 17(2), 183-211.
  • Gray, V. D. (2004). The language of mathematics: A functional definition and the development of an instrument to measure teacher perceived self-efficacy. Unpublished doctoral dissertation, Oregon State University, Oregon, USA.
  • Hall, M. & Ponton, M. (2005). Mathematics self-efficacy of college freshman. Journal of Developmental Education, 28(3), 26-32.
  • Jamison, R. E. (2000) Learning the language of mathematics. Language and Learning Across the Disciplines, 4, 45-54.
  • Jöreskog, K. & Sörbom, D. (1993). Structural equation modeling with SIMPLIS command language. Chicago, IL: Scientific Sofware International Inc.
  • Miles, M., & Huberman, M. (1994). An expanded sourcebook qualitative data analysis (2nd edition). California: Sage Publications.
  • National Council of Teachers of Mathematics (2000). Principles and standards for school mathematics. Reston, V.A: Author.
  • Owens, B. (2006). The language of mathematics: Mathematical terminology simplified for classroom use. Unpublished master’s thesis, East Tennessee State University, Tennessee, USA.
  • Özgen, K. & Bindak, R. (2008). The development of self-efficacy scale for mathematics literacy. Kastamonu Eğitim Dergisi, 16(2), 517-528.
  • Pimm, D. (1987). Speaking mathematically: Communication in mathematics classrooms. London: Routledge & Kegan Paul.
  • Ross, J. A. & Bruce, C. D. (2007). Teacher self-assessment: A mechanism for facilitating professional growth. Teaching and Teacher Education, 23, 146-159. doi: 10.1016/j.tate.2006.04.035
  • Ross, J. A. & McDougall, D. (2003). The development of education quality performance standards in grade 9– 10 mathematics teaching. Retrieved from <http://legacy.oise.utoronto.ca/research/field-centres/TVC/rpts/tg02-03.pdf >
  • Rossman, G. B. & Wilson, B. L. (1985). Numbers and words: Combing quantitative and qualitative methods in a single large-scale evaluation study. Evaluation Review, 9, 627–643. Retrieved from http://eric.ed.gov/?id=EJ326003
  • Roth, K.J. & Chen, C. (2007). Teacher learning from video cases of science teaching: A conceptual framework. Proceedings of the Annual Meeting of the National Association for Research in Science Teaching. New Orleans, LA. April 18, 2007.
  • Schleppegrell, M. J. (2007). The linguistic challenges of mathematics teaching and learning: A research review. Reading & Writing Quarterly, 23(2), 139-159. doi: 10.1080/10573560601158461
  • Schreiber, J. B., Stage, F. K., King, J., Nora, A., & Barlow, E. A. (2006). Reporting structural equation modeling and confirmatory factor analysis results: A review. The Journal of Educational Research, 99(6), 323-337. doi:10.3200/JOER.99.6.323-338
  • Schunk, D. H., Pintrich, P. R. & Meece, J. L. (2008). Motivation in education: Theory, research, and applications. Upper Saddle River, NJ: Pearson Education.
  • Sherin, M. & van Es, E. (2005). Using video to support teachers' ability to notice classroom interactions. Journal of Technology and Teacher Education, 13(3), 475-491.
  • Tashakkori, A. & Teddlie, C. (1998). Mixed methodology: Combining qualitative and quantitative approaches. Thousand Oaks, CA: Sage Publications.
  • Torkzadeh, G. & Dyke, Y. P. V. (2001). Development and validation of an internet self-efficacy scale. Behaviour & Information Technology, 20(4), 275-280.
  • Zazkis, R. (2000). Using code-switching as a tool for learning mathematical language. For the Learning of Mathematics, 20(3), 38-43.

Öz Değerlendirmenin Matematik Öğretmenliği Öğretmen Adaylarının Matematik Dilinde Öz Yeterliklerine Etkisi

Yıl 2017, Cilt: 7 Sayı: 1, 1 - 34, 16.02.2017

Öz

Mathematics is a universal language and mathematics teachers are
responsible for teaching this language. However, teachers generally ignore
knowledge and skills of mathematical language and this may be explained by
Bandura’s (1997) self-efficacy theory (Gray, 2004). The aim of this study was
to investigate the effect of self-evaluation of pre-service elementary
mathematics teachers on their self-efficacies with regard to language of
mathematics by using the mixed method sequential explanatory design. The data
was obtained with the developed instrument quantitatively in the first phase
and qualitatively in the second phase. The results of the first phase indicated
that there was no significant difference between pretest and posttest
self-efficacy scores. On the other hand, the results of the second phase
indicated that participants perceived the language of mathematics as using
native language or using pedagogical approaches and they weren’t aware of the
responsibility of teaching the language of mathematics besides mathematical
concepts.

Kaynakça

  • Airasian, P. & Gullickson, A. (1997). Teacher self-evaluation tool kit. Thousand Oaks, California: Corwin Press.
  • Bandura, A. (1997). Self-efficacy: The exercise of control. New York: Freeman.
  • Bohen, D. B. (2000). How teacher candidates view and value the certification process of the National Board for Professional Teaching Standards. Viginia, USA: George Mason University.
  • Covington, M. V. (1992). Making the grade: A self-worth perspective on motivation and School Reform. Cambridge, UK:Cambridge University Press.
  • Cresswell, J. W. (2003). Research design: Qualitative, quantitative, and mixed methods approaches set (2nd ed.) Thousand Oaks, CA: Sage Publications.
  • Cresswell, J. W., & Plano Clark, V. L. (2011). Designing and conducting mixed methods research. Thousand Oaks, CA:Sage Publications.
  • Cresswell, J. W., Plano Clark, V. L., Gutmann, M. & Hanson, W. E. (2003). Advanced mixed methods designs. In A. Tashakkori & C. Teddlie (Eds.), Handbook of mixed method research in the social and behavioral sciences (pp.209-240). Thousand Oaks, CA: Sage Publications.
  • Eckart, J. & Gibson, S. L. (1993). Using camcorders to improve teaching. The Clearing House, 65(5), 288-292. Retrieved from http://eds.a.ebscohost.com/eds/detail/detail?vid =2&sid=29cbc07d-8d904c629ad1b870715fc318%40sessionmgr4008&hid=4213&bdata=Jmxhbmc9dHImc2l0ZT1lZHMtbGl2ZQ%3d%3d#N=edsjsr.30188899&db=edsjsr
  • Esty, W. W. (2004/ unpublished manuscript). The language of mathematics.
  • Finn, L. E. (2002). Using video to reflect on curriculum. Educational Leadership, 59(6), 72-74.
  • Fraenkel, J. R., & Wallen, N. E. (1996). How to design and evaluate research in education (3rd ed.). New York: McGraw-Hill.
  • Frederiksen, J. R., Sipusic, M., Sherin, M., & Wolfe, E. W. (1998). Video portfolio assessment: Creating a framework for viewing the functions of teaching. Educational Assessment, 5(4), 225-297.
  • Gist, M.E. & Mitchell, T.R. (1992). Self-efficacy: A theoretical analysis of its determinants and malleability. The Academy of Management Review, 17(2), 183-211.
  • Gray, V. D. (2004). The language of mathematics: A functional definition and the development of an instrument to measure teacher perceived self-efficacy. Unpublished doctoral dissertation, Oregon State University, Oregon, USA.
  • Hall, M. & Ponton, M. (2005). Mathematics self-efficacy of college freshman. Journal of Developmental Education, 28(3), 26-32.
  • Jamison, R. E. (2000) Learning the language of mathematics. Language and Learning Across the Disciplines, 4, 45-54.
  • Jöreskog, K. & Sörbom, D. (1993). Structural equation modeling with SIMPLIS command language. Chicago, IL: Scientific Sofware International Inc.
  • Miles, M., & Huberman, M. (1994). An expanded sourcebook qualitative data analysis (2nd edition). California: Sage Publications.
  • National Council of Teachers of Mathematics (2000). Principles and standards for school mathematics. Reston, V.A: Author.
  • Owens, B. (2006). The language of mathematics: Mathematical terminology simplified for classroom use. Unpublished master’s thesis, East Tennessee State University, Tennessee, USA.
  • Özgen, K. & Bindak, R. (2008). The development of self-efficacy scale for mathematics literacy. Kastamonu Eğitim Dergisi, 16(2), 517-528.
  • Pimm, D. (1987). Speaking mathematically: Communication in mathematics classrooms. London: Routledge & Kegan Paul.
  • Ross, J. A. & Bruce, C. D. (2007). Teacher self-assessment: A mechanism for facilitating professional growth. Teaching and Teacher Education, 23, 146-159. doi: 10.1016/j.tate.2006.04.035
  • Ross, J. A. & McDougall, D. (2003). The development of education quality performance standards in grade 9– 10 mathematics teaching. Retrieved from <http://legacy.oise.utoronto.ca/research/field-centres/TVC/rpts/tg02-03.pdf >
  • Rossman, G. B. & Wilson, B. L. (1985). Numbers and words: Combing quantitative and qualitative methods in a single large-scale evaluation study. Evaluation Review, 9, 627–643. Retrieved from http://eric.ed.gov/?id=EJ326003
  • Roth, K.J. & Chen, C. (2007). Teacher learning from video cases of science teaching: A conceptual framework. Proceedings of the Annual Meeting of the National Association for Research in Science Teaching. New Orleans, LA. April 18, 2007.
  • Schleppegrell, M. J. (2007). The linguistic challenges of mathematics teaching and learning: A research review. Reading & Writing Quarterly, 23(2), 139-159. doi: 10.1080/10573560601158461
  • Schreiber, J. B., Stage, F. K., King, J., Nora, A., & Barlow, E. A. (2006). Reporting structural equation modeling and confirmatory factor analysis results: A review. The Journal of Educational Research, 99(6), 323-337. doi:10.3200/JOER.99.6.323-338
  • Schunk, D. H., Pintrich, P. R. & Meece, J. L. (2008). Motivation in education: Theory, research, and applications. Upper Saddle River, NJ: Pearson Education.
  • Sherin, M. & van Es, E. (2005). Using video to support teachers' ability to notice classroom interactions. Journal of Technology and Teacher Education, 13(3), 475-491.
  • Tashakkori, A. & Teddlie, C. (1998). Mixed methodology: Combining qualitative and quantitative approaches. Thousand Oaks, CA: Sage Publications.
  • Torkzadeh, G. & Dyke, Y. P. V. (2001). Development and validation of an internet self-efficacy scale. Behaviour & Information Technology, 20(4), 275-280.
  • Zazkis, R. (2000). Using code-switching as a tool for learning mathematical language. For the Learning of Mathematics, 20(3), 38-43.
Toplam 33 adet kaynakça vardır.

Ayrıntılar

Bölüm Araştırma Makalesi
Yazarlar

Tangül Kabael

Betül Yayan

Yayımlanma Tarihi 16 Şubat 2017
Gönderilme Tarihi 16 Şubat 2017
Yayımlandığı Sayı Yıl 2017 Cilt: 7 Sayı: 1

Kaynak Göster

APA Kabael, T., & Yayan, B. (2017). Öz Değerlendirmenin Matematik Öğretmenliği Öğretmen Adaylarının Matematik Dilinde Öz Yeterliklerine Etkisi. Anadolu Journal of Educational Sciences International, 7(1), 1-34. https://doi.org/10.18039/ajesi.292575
AMA Kabael T, Yayan B. Öz Değerlendirmenin Matematik Öğretmenliği Öğretmen Adaylarının Matematik Dilinde Öz Yeterliklerine Etkisi. AJESI. Şubat 2017;7(1):1-34. doi:10.18039/ajesi.292575
Chicago Kabael, Tangül, ve Betül Yayan. “Öz Değerlendirmenin Matematik Öğretmenliği Öğretmen Adaylarının Matematik Dilinde Öz Yeterliklerine Etkisi”. Anadolu Journal of Educational Sciences International 7, sy. 1 (Şubat 2017): 1-34. https://doi.org/10.18039/ajesi.292575.
EndNote Kabael T, Yayan B (01 Şubat 2017) Öz Değerlendirmenin Matematik Öğretmenliği Öğretmen Adaylarının Matematik Dilinde Öz Yeterliklerine Etkisi. Anadolu Journal of Educational Sciences International 7 1 1–34.
IEEE T. Kabael ve B. Yayan, “Öz Değerlendirmenin Matematik Öğretmenliği Öğretmen Adaylarının Matematik Dilinde Öz Yeterliklerine Etkisi”, AJESI, c. 7, sy. 1, ss. 1–34, 2017, doi: 10.18039/ajesi.292575.
ISNAD Kabael, Tangül - Yayan, Betül. “Öz Değerlendirmenin Matematik Öğretmenliği Öğretmen Adaylarının Matematik Dilinde Öz Yeterliklerine Etkisi”. Anadolu Journal of Educational Sciences International 7/1 (Şubat 2017), 1-34. https://doi.org/10.18039/ajesi.292575.
JAMA Kabael T, Yayan B. Öz Değerlendirmenin Matematik Öğretmenliği Öğretmen Adaylarının Matematik Dilinde Öz Yeterliklerine Etkisi. AJESI. 2017;7:1–34.
MLA Kabael, Tangül ve Betül Yayan. “Öz Değerlendirmenin Matematik Öğretmenliği Öğretmen Adaylarının Matematik Dilinde Öz Yeterliklerine Etkisi”. Anadolu Journal of Educational Sciences International, c. 7, sy. 1, 2017, ss. 1-34, doi:10.18039/ajesi.292575.
Vancouver Kabael T, Yayan B. Öz Değerlendirmenin Matematik Öğretmenliği Öğretmen Adaylarının Matematik Dilinde Öz Yeterliklerine Etkisi. AJESI. 2017;7(1):1-34.