Lester, F. 2011. Theories of Mathematics Education
Research framework is a “basic structure of ideas that serve as the basis for a phenomenon that is to be investigated” (p.69). In other words, it is the foundation on which researchers build their research activities. According to the author, research framework serves the following purposes:
1) to conceptualize and design research studies,
2) to make sense of the data,
3) to look beyond common sense, and
4) to deepen understanding.
Theoretical framework guides research with a developed theory. It is, however, not without its own problems:
1) some researchers make data fit the theory,
2) data is often stripped of context to serve the theory,
3) theoretical discourse not applicable to day-to-day practice, and
4) single theory does not allow room for theoretical triangulation.
Two other types of research frameworks were also introduced, and as Lester put it, “have serious shortcomings” (p.70). Practical framework relies on experiences of “what works”, and consequently ignores the bigger picture. Conceptual framework is based on a wide range of sources, but only focus on information that is relevant to the current study, and serves as a system of justification instead of explanation. Despite the limitations, having a research framework as guidance will be helpful to ask the “why questions” (p.75).
The chapter looked at the MER community in the U.S. and its growing emphasis on methodological issues rather than philosophical issues. I wonder if the trend is unique to this particular research community? Linking back to my question about last week’s reading, how do we as researchers put aside strong theoretical standings and make sense of data that doesn’t fit?
Hi Jingyu!
ReplyDeleteThis is a very useful article for me because previously I have never fully realized the significance of frameworks in my research paper although I have already used some of them. And I think you raised a great question which is also mentioned in this paper. When doing a research, we cannot rule out the possibility that the data cannot fit into the framework. Changing or making up data is definitely not correct solution. I think researchers should honestly admit the existence of there data and try to find appropriate explanations or assumptions for them. The framework provides researchers with a lot of convenience, but we should not be constrained by it.
Yuxi
Hi Jingyu! Thank you for the detailed summary. I also think a structured framework is essential to orient the researcher (and the research itself) and understand the data collected more clearly. Also, the "why"questions are indeed fundamental to interpreting data and knowing that will help researchers focus on what the best framework to pursue is, right?
ReplyDelete