Mimi Corcoran
   George Mason University
   Educational Leadership Ph.D. Portfolio
   Primary Concentration:  Mathematics
   Secondary Concentration: Instructional Technology
       

 Analytical and Integrative Thinking

 My Introduction to Research

I clearly remember my admission interview in December 2008.  In explaining one of my many reasons for applying to the Ph.D. program, I said, "I want to do research; but, I don't know how."  Certainly, I had much to learn; but, my desire to learn has made the journey much more satisfying than I could have imagined.  Although I had done data recording and some video transcriptions, my summer internship with Dr. Suh, at the COMPLETE summer institute, in the summer of 2010, was really the launching point for my active involvement in research.  I learned how to observe and 
kept daily records of my observations.  I watched the techniques which the instructors used when interacting with the participants.  And, I attended the daily meetings at the end of each day, through which I gained considerable insight into how the instructors evaluated their sessions; how they assessed the understanding of the participants; and, how they used the information from the day to plan for future days.  This came full circle when I was an instructor at the COMPLETE institute in the summer of 2012.

I was a GRA for Dr. Smith for two years.  I have also been an archivist for several COMPLETE and ESTEEM sessions.  I have successfully, and not painlessly, gone through the HSRB process.  And, I have had a research article published.


 My Timely and Enlightening Introduction to Qualitative, Quantitative and Mixed Methods Research 
 
First, I experienced qualitative research.  I was surprised by amount of researcher personality and interpretive leeway which exists in qualitative research.  In my qualitative research course, we discussed the very real possibility that two researchers who viewed the same research coming to two different, and possibly contradictory conclusions.  This is due to the differing perspectives, opinions and experiences of the researchers.  Initially, I thought this may be a significant drawback.  However, after studying several qualitative research pieces, I came to see that the self description of the researcher, which usually appeared at the beginning of an article, set the tone for the interpretation of the research.  Everyone is biased, no matter how much we think we are not.  I found this phenomenon to be most evident in culturally situated research.  I specifically remember one piece in which the author extolled the superiority of the mothering skills of a certain tribe of American Indians over their Caucasian counterparts.  The researcher herself was from that tribe.  And, while her bias was at times excessive, her early acknowledgment of her ethnic loyalty gave me a tolerance for her sometimes gushing praise which would otherwise have been saccharine.  For me, the important lesson here, though, was to not do that myself.

EDRS 812 Final Project:  Polynomial Dancing
   My paper discusses interviews with three high school Algebra teachers and their views on calculator use in the classroom.

My introductory quantitative class was enjoyable and enlightening.  I learned much about statistical tests which I did not previously know and I got a very useful introduction to SPSS software.  Dr. Dimitrov's explanations of some concepts which I thought I knew actually gave me more in-depth understanding.  I got the chance to work on some real data sets and not the small, pristrine ones I use in the high school statistics classes I teach.  Interpreting the results has also given me an appreciation for the difficulty my own students havein doing the same thing.  Just what is this test telling me?  Did I use the right variables?  Did I use the right test?   It is ironic that while doing some quantitative tests, I thought about qualitative data which could be used to help clarify the results.  

In my final paper for this class, I used data from the high school classes which I teach to run Chi-Square, ANOVA and multiple regression tests.  I looked for correlations or associations among AP Calculus Exam scores, class grades, science courses, sex, minority status, participation in school sports, and, participation in school arts.  I learned a great deal from manipuating data to see how the results would vary.   I was pleasantly surprised that this course went well beyond the curriculum of the AP Statistics course which I teach.  I learned a great deal and consider this course to be one of my favorites.

EDRS 811 Final Project:  What Factors in Predict AP Calculus Students’ Grades on the National AP Calculus Exam and How Well Do They Predict?

Lastly, I registered for the mixed methods course.  I had come to the realization that I did not was to limit my research to just one or the other.  In my summer experiences and in my own research projects at work, I had seen how the results from both methods could clarify each other or even make sense of something.  But, I was a long way from well-informed on this.  I thought that mixed methods was much simpler than it actually is.  My uninformed view: use quantitative to explain things which could be explained with numbers and use qualtiative for anything else.  I knew there had to be more to it than I was realizing.   I thought that mixed methods indicated that some research questions were stated and addressed qualitatively and other research questions were stated and addressed quantitatively.  And, maybe there might be some overlap which could help clarify the findings.  I have read a few dissertations and several articles which are formatted this way.  The quantitative research was accompanied by tables of values, hypothesis tests, p-values, means and standard deviations. The qualitative research, invariably much, much more voluminous, was replete with detailed descriptions of environments, personal data on the subjects, human behaviors, personal affect, appearance, attitudes, emotions, and reactions.  The researcher's own perspectives and opinions were often included.

So, I found my Mixed Methods Research course to be most enlightening.  I learned an incredible amount in this course and was glad to have taken it in the summer when I was not working full time.  The twice-a-week class meetings, coupled with the volume of required reading would have been difficult to complete otherwise.  But, back to the enlightenment:  it seems so obvious to me now that qualitative and quantitative research should inform each other and not be distinct parts of a whole.  One can actually provide possible explanation for the other.   The interaction of the two, the reciprocity of clarification is actually the most valuable feature of mixed methods, in my opinion.

EDRS 797 Paradigm Reflection Memo
EDRS 797 Research Matrix
EDRS 797 Validity Matrix


 My Growth as a Researcher     

           As I re-entered the world of academia, I worried about what I could possibly study or discover which has not already been done.  I have to laugh at myself now for not realizing that the world has an infinite number of possible topics which I would find relevant.  
       
        Several of my cohort colleagues have known their dissertation topics for several years; others seemed to have a good grasp of where they wanted to go.  I did not.  I feel passionately about calculus and statistics; but, I did not know exactly how to approach a possible combination of the two.  Although I have several areas of general interest, I just was not honing in on anything in particular.  I decided to not worry about it and see if my coursework and research experiences would help guide me.  In my internship, I was introduced to teacher professional development at several levels.  In working with the ESTEEM courses and as a GRA, I have become enlightened about teacher content knowledge and how I might contribute to making improvements.  Through my research with my own high school classes, I have learned how differing teaching approaches can be used effectively communicate mathematical ideas.  Throughout my coursework, I have come to appreciate the value of reflection.  When reading my own reflections, I was stunned at what was written there which I had completely forgotten.  
   

        Sometimes, when I am preparing my lessons for my students, I momentarily will dismiss an idea as "obvious."  Then, I remind myself that just because it is obvious to me does not mean it is obvious to my students.  This is new to them and worthy of exploration, even if I think it is trivial.  Now, I as the student, did not get some of the "obvious" things.  When I entered this program, I was a bundle of questions.  Working in independent schools, I was unfamiliar with public school terminology, procedures and policies.  These things were obvious to my colleagues, but not to me.  And, on top of that, I did not know how to write using APA.  I did not know how to try to get an article published; and, I had never given a presentation at an educational conference.  Now, I reflect back at those questions I had and how much I have learned but do not even realize that I have learned them.  To clarify, I certainly realize that I have learned them; but, they have become such a part of my daily thoughts that they re starting to fall into that "obvious" category.  

        I have found I must admit that as I was closing in on the end of my coursework, I did start to have serious concerns about my dissertation.  Then, I was invited to be one of the two teacher-participants in the Research Experience for Undergraduates (REU) at GMU, sponsored by the NSF.  Dr. Seshaiyer asked my area of interest and led me on a journey of discovery.  I wanted to combine statistics and calculus and was especially interested in regression analysis.  My eye-opening experiences in this program have led me to decide to delve deeper into these research ideas.  I really want to expand my own mathematical knowledge; but, I realize that I need to tie this research to education.  I am thinking about possibly developing a training module, perhaps for teachers, perhaps for students, to understand the logic of different types of regression, of how regression is used in real world applications, or how calculus and statistics are closely tied together through regression.  Through my discussions with Dr. Rantou, I have seen many possibilities for studying regression or Normal distributions.  I intend to spend the autumn doing appropriate reading to be ready for the proposal class in the spring.

        For my dissertation, I also am adamant that I choose something which truly interests me.  I have no interest in simply going through the motions to finish something which is nothing more than a means to an end.  And, my mentors have told me that I would be wise to choose a topic which is interesting to me because I will be sharing company with it for a long time.  I take their advice seriously.
I do not need a huge topic.  It is much wiser to hone in on a small chunk and build on that. I have been laboring over this for quite a while and was working on an idea involving statistics education.  But, I just was not finding relevant research  and my enthusiasm was dwindling.  I just did not know where to turn.  Then, voila, I was at the AP Calculus reading in June discussing the advantages for students whose teachers are AP readers.  So many teachers assert that the AP Calculus reading experience is wonderful professional experience which helps them to be better teachers.  I think it is true; but, I wonder if it really is true.  If it is, then why is it true.  What changes in the classroom?  It dawned on me that my dissertation topic had just taken root.  

        It is a feeling of releif to finally have a topic which genuinely interests me to my core.  In the weeks since June, I have been searching for relevant research.  I am looking for recent research to add to my growing list.  And, I have been using the AP Calculus reader list to try to build a list of potential participants for my study.  I have my baseline HSRB documents finished and it seems that all I do is read, write and sleep, and eat mac and cheese.  It is exhausting and exhilarating at the same time.


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