Tag: Mathematics

Maths Through Stories: A Profile of Dr Natthapoj Vincent Trakulphadetkrai

Dr. Natthapoj Vincent Trakulphadetkrai founded MathsThroughStories.org, a non-profit research-based initiative which sets out to encourage teachers and parents globally to help children learn mathematics more effectively and, equally important, more enjoyably through storytelling. The website offers various evidence-based and freely available resources, including support for children to make their own stories. One of the research projects he leads, Representation of Girls and Women in Mathematics-specific Picturebooks, finds that female characters are significantly underrepresented in mathematical picturebooks when compared to their male counterparts.

Can you start off by telling us a little bit about your research that led to this project? In particular, why is it important to feature gender and race/ethnic diversity in learning mathematics through storytelling?

MathsThroughStories.org draws from a body of research over the past three decades that highlights pedagogical benefits of teaching mathematical concepts through storytelling, particularly in the form of story-picture books. One of these research projects has been conducted in a few different countries (including England, Ireland, and Malta). It is an investigation into teachers’ self-reported frequency of using story-picture books in their mathematics instruction as well as their perceived barriers to (and perceived enablers for) the integration of stories in mathematics teaching. A key finding is that while early years practitioners regularly make use of storytelling as part of their daily mathematics teaching, teachers of primary (elementary) school children (5-11 years old) are much less aware of such teaching approach. The principal reported barrier is the lack of awareness (and hence pedagogical knowledge) of how story-picture books can be incorporated into mathematics teaching. Thus, MathsThroughStories.org wants to help raise teachers’ awareness in this area, and to essentially encourage them in giving this approach a go.

In terms of why it is important to feature gender and race/ethnic diversity in mathematical stories, I draw from the idea of Weitzman, Eifler, Hokada and Ross (1972), that picture books are read to children when they are most impressionable and when they are forming their self-images and future expectations of themselves. Imagine a classroom where the teacher only reads mathematical stories where boys and men are always the protagonist solving problems using their mathematical knowledge and skills, while girls and women are secondary characters lurking behind a tree. If you are a girl listening only to stories with such characteristics, how would you see yourself in relation to mathematics now and in the future? Thus, as educators and parents, we need to critically examine what otherwise seems to be a very colourful, cute and harmless educational resource.

A young girl looks up thoughtfully as she writes in class
How would girls see themselves in mathematics?



The Most Important Scientist in My Life: My Mom

By Jonah Miller

This guest post is by computational physicist Jonah Miller, who interviews his mother, Dr Arleen Miller, about her experiences getting a STEM degree in the 1970s. Her dissertation was focused on mathematical outcomes of girls and boys. She also shares experiences teaching mathematics in Sierra Leone.

Dr Arleen Miller
Dr Arleen Miller

January 6th is my mother’s birthday. As a present, I decided to showcase the first scientist I ever knew—one who I met before I was even born.

Arleen Garfinkle (one day to be Arleen Miller) entered graduate school  at the University of Colorado in the fall of 1973 and graduated in 1979. During that time she developed a battery of tests designed to track a child’s numerical and logical reasoning skills, based on the theories of psychologist Jean Piaget.

Once she developed the test, she gave it (and several other tests) to over 200 pairs of twins aged four through eight and correlated their success rates to other factors, such as their gender and how much their parents emphasized success. One of her most significant findings was that a young child’s ability to learn math was highly dependent on genetics. Another was that gender had no effect on performance—i.e., girls and boys were equally good at math.

Despite being offered a prestigious position at Yale University, my mother left academia to pursue other interests. But to me, she’ll always be my favorite scientist. (more…)

Sexism in Academic Science: Analysis of The New York Times Op-Ed

Here is an examination of the scientific flaws in the recent New York Times (NYT) Op-Ed: “Academic Science Isn’t Sexist.” The Op-Ed authors, psychologists Professor Wendy Williams and Professor Stephen Ceci, put forward various wide-sweeping statements about the effect of gender on academic careers of women scientists. The article outlines the fact that women make up a minority of junior faculty members, particularly in maths-intensive fields like engineering and computer science (25%-30%) and an even smaller proportion in senior positions (7%-15%).

Williams and Ceci argue that much of the empirical studies that established gender inequality in academia are outdated (mostly published prior to the year 2000). They argue that more recent data show that inequality has been diminished in academia. The researchers claim that women are promoted and remunerated at the same rate as men – except in economics. Williams and Ceci further argue that women’s numbers have been steadily growing in the life sciences and psychology. They note that the proportion of women in maths-intensive fields has also been growing, but not as much. Their analysis attempts to explain why this is the case.

The central argument presented in their NYT article is that women would fare well in maths-intensive subjects, “if they choose to enter these fields in the first place.” To put it another way, the problem as they see it, is that gender inequality is a myth, and that the discrepancies between men and women would be reduced if women chose to stay in STEM.

The Op-Ed is based on the co-authors’ study published in November in the journal, Psychological Science in the Public Interest. In their study, Ceci is first author and they are joined by two economists, Professor Donna Ginther and Professor Shulamit Kahn. The research team see that the sex variations within the fields of Science, Technology, Engineering and Mathematics (STEM) represent a “contradiction” and a “paradox.” The logic of their argument is that because there are more women in STEM fields today in comparison to the 1970s, and because there are different patterns of attrition amongst various disciplines, this is evidence that sexism in academia is a moot point. The crux of their argument is simple: if there are differences between men and women’s career trajectories in STEM, these arise from personal preferences, and not due to a culture of sexism.

The are several problems with the Op-Ed, which overly simplifies the body of literature the authors reviewed, but the analysis of study itself is highly flawed. The most glaring issues include the concepts used, such as the authors’ confusion of sex and gender and how these relate to inequality. Another set of problems arise from the authors’ methods. Put simply: the way they measure gender inequality does not match the data they have available, and their interpretation and conclusions of the data are therefore invalid. In science, a study can be seen to be valid when the phenomenon measured matches the instruments used. The concepts, data collection and analysis need to match the authors’ research questions. This is not the case with this study.

Let’s start with the key concept the authors measured: gender inequality, which is also discussed as “academic sexism.”

Sexism in Academic Science
Sexism in Academic Science


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