Item Development for Measuring Teachers’ PCK on Derivative
Author(s):
Beril Yılmaz Senem (submitting) Fulya Kula (presenting)
Conference:
ECER 2015
Format:
Paper

Session Information

09 SES 11 B, Mathematics and Physics Learning and Teaching: Synthesizing Findings and Developing Instruments

Paper Session

Time:
2015-09-10
17:15-18:45
Room:
328. [Main]
Chair:
Andrejs Geske

Contribution

Modern scientific view has been shaped from calculus concepts, mainly derivative which is the core of calculus. Derivative  lies at the foundation of the scientific world view (Bressoud, 1992). Providing a basis for the modern sciences, derivative constitutes an important factor for the development of many branches of science. Without regard to specific details, derivative can be thought of as how much one quantity is changing in reaction to changes in some other quantity. The concept has various definitions like; the limit of the difference quotient, the slope of the tangent line, instantaneous rate of change, or velocity (Boyer, 1949).

There is considerable variation in the applications of derivative not only in academic life but also in real life. Rate of change in position and velocity are some examples of the real life applications. The derivative is an important concept in the branches of both mathematics and physics. Mastery in derivative is profitable for the students all along their lives.

Studies dealing with the achievement of derivative in both high school and university levels exist in the literature. These studies make it clear that derivative is a relatively abstract and difficult concept (e.g. Kieran, 1992; Orton, 1983). Students' low achievements in derivative have been proved to be a universal case by the previous research studies (Dunham & Osborne, 1991; Ferrini-Mundy & Graham, 1994; Orton, 1983; Selden, Mason, & Selden, 1989; Viholainen, 2006). Students who take calculus course, even in the university level have difficulties to cope with this connections (Parameswaran, 2007).

On the other hand, students have difficulties to connect the multiple definitions (Ferrini-Mundy & Graham, 1994) and multiple representations (Dunham & Osborne, 1991) of the derivative. Research studies conducted about the use of multiple representations indicated that students have considerable difficulties in connecting different representations effectively and generally have mastery in only one representation (Habre & Abboud, 2006; Morgan, 1990; Ferrini-Mundy & Lauten, 1994). Because of the above mentioned considerable factors, the teaching of derivative is very important in the high school and university.

For teaching any subject, teachers need more than content knowledge. The idea of pedagogical content knowledge (PCK)  was inserted by Schulman (1986) and brougt much interest with fruitful applications in teacher education. In its most general terms, pedagogical content knowledge is the knowledge in the intersection of content and pedagogical knowledge (Shulman, 1986). There have been many applications of PCK in many branches (e.g., Ball, Thames &Phelps, 2008; Van Driel, Verloop, & de Vos, 1998). Moreover, the positive effects of teachers with PCK on student achievement were determined by the literature (e.g., Hill, Rowan, Ball, 2005; Lange, Kleickmann, & Möller, 2012). In mathematics there are studies of PCK in elementary level (Hill, Ball & Schilling, 2008; Hill, Rowan, Ball, 2005). However there can be fund no measure of teachers’ PCK of derivative to conduct studies in higher mathematics. This study aims to develop the measure of teachers’ PCK of derivative.

The Research questions:

  1. How can items for a PCK-test be developed on the basis of literature to measure teachers’ PCK of derivative?
  2. Are these PCK-items reliable and valid for assessing teachers’ PCK of derivative?

Method

This study aims to develop an instrument that measure teachers’ PCK on Derivative. Four steps are involved in the instrument development process; (1) determining indicators or constructs of PCK; (2) developing the items; (3) analysing the items for validity, feasibility and reliability; and (4) revising the items. Literature will be reviewed and analysed to determine the indicators or constructs of PCK needed by teachers in order to teach derivative. Reliable and valid instruments measuring PCK in other subjects in the literature will be under investigation among the process of item development. Items developed by researchers will be evaluated by experts in mathematics education, physics education and experts in assessment and evaluation. Experts will be given a brief introduction about PCK test and an instrument evaluation form prepared on the basis of literature indicating the criteria for PCK items developed in this study. Derivative is an intersecting concept in mathematics and physics, accordingly experts in both will be asked to evaluate the items. Expert opinions will be obtained to validate the instrument in each term of its content. Additionally, items will be revised after the feedbacks of the mentioned experts. Pilot study will be applied to pre-service teachers of mathematics and physics education department. Think-aloud interviews will be used during pilot study to collect data about the feasibility of the instrument. The pilot data will be analysed by quantitative and qualitative methods. The findings of the pilot study will be used in revising the items and hence the instrument. Think-aloud interview transcripts will be coded by researchers separately. The items developed will be revised according to expert opinion and findings of pilot study.

Expected Outcomes

The PCK test will be developed in the concept of derivative in this study. The categories and dimensions of the test will be decided through literature review. Both the categories and dimension depends on the concept of the test. For example, test will probably have concept knowledge dimensions including declarative knowledge, procedural knowledge and conditional knowledge. In addition, PCK include constructs such as knowledge of students’ understanding, student errors, knowledge about instructional strategies (Park & Oliver, 2008), knowledge of curriculum, and knowledge of assessment. Expert opinions will specify the content validity of the items and quality of the items. We expect to develop valid items that measure PCK of teachers on derivative. In order to understand feasibility of test, think-aloud interviews will be conducted with pre-service mathematics and physics teachers as a pilot study. We expect that the results of these interviews will show that the test is feasible. Moreover, results of pilot study will ensure the content validity of the items and reliability of the test. The inter-rater reliability of two researchers for coding of think-aloud interview transcripts is expected to be significantly high that will indicate the objectivity of findings. In brief, it is expected to develop items for an instrument measuring PCK of teachers on derivative that is valid, reliable, and feasible.

References

Ball, D.L., Thames, M.H., Phelps, G.C. (2008). Content Knowledge for Teaching: What Makes It Special? Journal of Teacher Education 59(5) 389-407. Boyer, C. B. (1949). The History of the Calculus and Its Conceptual Development. New York: Dover Publications. Bressoud, D. M. (1992). Why do we teach calculus? American Mathematical Monthly. 99 (7), 615–617. Dunham, P. H., & Osborne, A. (1991). Learning how to see: Students' graphing difficulties. Focus on Learning Problems in Mathematics, 13, 35-49. Ferrini-Mundy, J., & Graham, K. (1994). Research in calculus learning: Understanding of limits, derivatives and integrals. In J. Kaput & E. Dubinsky (Eds.), Research issues in undergraduate mathematics learning (pp. 31-45). Washington: MAA Notes. Ferrini-Mundy, J., & Lauten, D. (1994). Learning about calculus learning. The Mathematics Teacher, 87, 115-121. Habre, S., & Abboud, M. (2006). Students’ conceptual understanding of a function and its derivative in an experimental calculus course. The Journal of Mathematical Behavior, 25(1), 57-72. Hill, H.C., Rowan, B., & Ball, D. (2005). Effects of teachers' mathematical knowledge for teaching on student achievement. American Educational Research Journal, 42 (2), 371- 406. Hill, H., Ball, D. L., & Schilling, S. (2008). Unpacking “pedagogical content knowledge”: Conceptualizing and measuring teachers’ topic-specific knowledge of students. Journal for Research in Mathematics Education, 39 (4), 372-400. Morgan, A. T. (1990). A study of the difficulties experienced with mathematics by engineering students in higher education. Internatiional Journal of Mathematics Education, Science and Technology, 21(6), 957-988. Kieran, C. (1992). The learning and teaching of school algebra. In D. A. Grouws (Ed.), Handbook of Research on Mathematics Teaching and Learning (pp. 390-419). New York: Macmillan. Orton, A. (1983). Students' understanding of differentiation. Educational Studies in Mathematics, 14, 235-250. Park, S., & Oliver, S. (2008). Revisiting the conceptualisation of pedagogical content knowledge (PCK): PCK as a conceptual tool to understand teachers as professionals. Research in Science Education, 38, 261–284. http://dx.doi.org/10.1007/s11165-007-9049-6 Selden, J., Mason, A., & Selden, A. (1989). Can average calculus students solve non-routine problems? Journal of Mathematical Behavior, 8(1), 45-50. Shulman, L.S. Those Who Understand: Knowledge Growth in Teaching, Educational Researcher (1986). 15 (2), 4-14. Van Driel, J.H., and N. Verloop, W. de Vos. (1998). Developing Science Teachers’ Pedagogical Content Knowledge, Journal of Research in Science Teaching. 35(6), 673-695. Viholainen, A. (2006). Why is a discontinuous function differentiable? Paper presented at the 30th conference of the international group of the psychology of mathematics education, Prague.

Author Information

Beril Yılmaz Senem (submitting)
Bulent Ecevit University
Faculty of Education
zonguldak
Fulya Kula (presenting)
Amasya University
Amasya

Update Modus of this Database

The current conference programme can be browsed in the conference management system (conftool) and, closer to the conference, in the conference app.
This database will be updated with the conference data after ECER. 

Search the ECER Programme

  • Search for keywords and phrases in "Text Search"
  • Restrict in which part of the abstracts to search in "Where to search"
  • Search for authors and in the respective field.
  • For planning your conference attendance, please use the conference app, which will be issued some weeks before the conference and the conference agenda provided in conftool.
  • If you are a session chair, best look up your chairing duties in the conference system (Conftool) or the app.