It’s Just a Theory Right? What Motivational Theories Have to Offer for Closing the Gender STEM gap

As an academic researcher one of the things I do is go to conferences and talk about my research. As a mixed methods researcher sometimes I’m presenting big fat tables full of numbers. Coefficients, effect sizes, p-values, fit indices, all that jazz. Other times I share the words of girls I’ve interviewed and stitch together their different narratives to present interesting pictures of how they construct ideas about science, scientists, and their place in the world of science. Sometimes I do both in the same presentation. This makes for a lot of variety in the way I share my work. But every time I present, regardless of the methods or the specifics I’m discussing on that particular day, the same thing happens. 

After my talk, a fresh faced young teacher (or researcher) will come up, thank me for my talk, tell me my program sounds amazing, and then ask THE QUESTION. I really hate THE QUESTION. “So,” they say, “what curriculum do you use at SPICE camp?” Then I run screaming from the room, gnashing my teeth, and rending my nice suit jacket. 

OK, I don’t really do that. Nor do I shout, “You clearly weren’t LISTENING!”  

Now you are wondering, what kind of educator is this woman? Isn’t the goal of teaching for people to learn things? Don’t you need curriculum [1] to learn things? Aren’t you teaching science?

Well yes, of course we have curriculum. If I were to describe it I think our curriculum is like disco lighting. Shiny, eclectic, and constantly shifting. Don’t get distracted by the moving shiny lights! You are here to DANCE! 

Image Credit: B. Todd

Image Credit: B. Todd

Many outreach programs are sponsored by professional societies or grants that have a learning outcome agenda. If the people footing the bill are the international society of women in engineering, then you better bet they want the participants to be learning about engineering, not plant biology. Curriculum is going to be the main focus of such a program. Which is great, but it’s only address a small slice of the problem. We don’t just have a problem with women in engineering, or computer science, or physics (though these are the most problematic areas with regards to women in STEM [1] ), we’ve got a blanket problem with women not choosing STEM at all.

Remember, gender disparities in STEM are not the result of ability or achievement differentials. They are the result of choices made by humans. Girls are learning the same curriculum as boys, but they aren’t choosing STEM, and when they do, they are disproportionately choosing to leave STEM. 

What makes the SPICE approach to science outreach different is the emphasis on implementation. The content is nowhere near as important as HOW it is delivered [2]. Many schools have adopted high quality science curriculum and spent a lot of time and money training teachers to use that curriculum. States have invested millions of dollars in curriculum and assessments. We now have Next Generation Science Standards, which on balance, I think are pretty good. And yet. Girls are still opting out of science. We still have a massive gender gap in STEM and no fancy curriculum will fix that. Remember, girls achieve in science just fine. What they don’t do is CHOOSE science.

Why don’t they choose science? Because science isn’t choosing them.

This is why I don’t like THE QUESTION. The question implies that if we just get the perfect curriculum suddenly all the doors will open up and we will have fixed this “girl problem” in STEM. As I’ve stated before in this blog. We don’t have a “girl problem” we have a STEM culture problem. 

Curriculum is incredibly important in how students learn, but it won’t fix the “soft” elements of inducting students into the culture and identity of STEM practitioner. When social messages, stereotypes, and classroom dynamics all signal STEM as the domain of a certain type of white (or Asian) male, all the good curriculum in the world will not make it more attractive to women. There is a reason women out number men in nursing nine to one. It’s not because nursing schools do a better job of teaching medicine to women than men, it’s because men do not see themselves as nurses. This is despite the fact that nursing can be a physically demanding job requiring an authoritative demeanor and high level of technical expertise, all characteristics typically associated with masculine professions. But that’s not how nursing is thought of in our culture. Nursing evokes images of caring and nurturing more traditionally associated with the feminine. Similarly, girls do not see themselves in most STEM careers which are typified as isolated, requiring exceptional intelligence, and lacking in connections to the human experience.

Research shows that, at all levels, girls have fewer encounters with science, have fewer hands on science opportunities, and are less likely to be recognized for scientific accomplishments. If we want girls to view science careers as “thinkable” we have to provide the same motivational reinforcements to them that boys receive as a matter of course. When parents ask me about how they can find experiences like the SPICE program for their sons I want to shout, “The whole world is SPICE for boys!”

This is where having a good understanding of motivational theory comes in. If we know what is missing from girls STEM experiences then what can we do to fill in that gap? What are the concrete actions that teaches and parents and girls can take to build enduring interest in STEM education and careers? This blog will go into these topics individually in more detail over the next few months, but for now, here is the shortlist of motivational theories I use in my work and research and some quick notes about the implications of each.

Self-Efficacy

Based in the work of Albert Bandura, whose Bobo Doll experiment is both entertaining and terrifying to parents everywhere, Self-Efficacy, stated simply is an individuals’ belief in her ability to successfully complete a task. Note the emphasis on belief in this definition. Competence is often associate with self-efficacy, but not always, and the relationship goes both ways, building competence can build self-efficacy and building self-efficacy has been shown to contribute to increased competence. Self-efficacy development is a complicated process that involved interplay between the individual, mentors and peers, and the environment. Suffice it to say, our culture and educational system falls short of supporting girls STEM self-efficacy in many ways.

Identity

Psychologist Erik Erikson developed a theory of psychosocial development that identified 8 stages of identity development spanning from infancy to death. Each of these stages is imagined as a conflict that must be successfully resolved within the individual. One key stage that researchers, parents, and teachers or interested in is Identity vs. Role confusion. This is the stage that overlaps with adolescence and relates to a lot of identity work that starts up around the middle school years. Successful identity integration requires a series of cyclical processes that involve trying on new identities, receiving feedback about the suitability of identities, and shifting identity expressions.

This process is most visible in teens who heavily associate identity with alignment to cultural icons like musicians, artists, and actors. Dress becomes an important means of expressing identity for this age group and they are particularly alert for criticism and messages disconfirming belonging to a particular group or identity. Navigating complex, ever looming gender identities is a major component of this phase and the need to find an appropriate and meaningful gender expression can often run contrary to the expressions of a STEM identity. Girls who feel they must choose between their gender and interest in STEM will feel enormous pressure to conform to gendered expectations.

Interest Formation

Interest development is another area necessary for adopting a STEM orientation to the world. That is, people generally need to be interested in something to spend much time working toward it. In my work and research, I use the Four Phase model of Interest development delineated by Hidi and Renninger. This model identifies ways in which people engage in their interest and how interest can be scaffolded to develop from simply noticing and passively observing a subject of interest to becoming an expert who is able to pose novel questions and sustain their interest through self-driving inquiry and engagement. 

Many people, and especially children, have a situational interest in science (everyone likes a good science demonstration with fire or big chemical reactions). The key to building enduring interest is supporting students in developing a deeper, self-sustaining, personal interest in STEM topics. 

Mindsets

Carol Dweck and colleagues noticed some interesting anomalies in their research with children. First, they found that some students relished challenges that were likely to result in failure, while others avoided them at all costs. They also noticed that girls who were otherwise quite willing to take risks, were more likely to adopt the avoidant approach to math and science challenges. From this research Dweck developed the theory of mindsets. In a nutshell, some people view their intelligence in a particular domain as fixed, not capable of changing. For these individuals, failure is a signal of lower intelligence, and something to be avoided, particularly by those who generally thing of themselves a bright. Other individuals view their intelligence as malleable and capable of change with practice, and yes, the occasional failure. These individuals have a growth mindset, and relish challenge as an opportunity to learn and . . . well, grow.

The crazy things about mindsets is that life, self-efficacy, they can be very specific.  One individual can have a patchwork of growth and fixed mindsets. Many girls, who are identified as gifted and are willing to take risks in say, English class, may avoid similar behavior in a math setting, where the cultur stereotypes identity the domain as the realm of men and something that requires an innate talent that some people simply do not have.

Dweck and her colleagues have identified a host of behaviors and approaches to teaching that can help foster a growth mindset and an equally large list of practices that undermine girls in math and science.

******

[1] STEM = Science Technology Engineering Mathematics

[2] Am I the only one who thinks the word curriculum is just a pretentious way of saying, “stuff you learn?” Yeah, I probably am.

 [3] Yes, of course the content is important! Trust me, I’m a total hard-ass, demanding that the content be legitimate science with clearly delineated facts, concepts, and learning outcomes. I just don’t particularly care what facts/concepts/learning outcomes they are! [4]

 [4] Of course I care what they are. But only a little.

What is science affinity?

A huge part of raising baby academics involves pounding and shaping them into tiny little boxes [1]. We call this process “grad school” and it involves a lot of being told just how wrong and misguided every idea you ever had was, is, and will continue to be. 

A semi-apt metaphor would goes as follows:

You arrive at a feast. A near infinite assortment of foods is displayed before you, each more appetizing than the last. Many kindly mentor-like figures stand around you smiling. They lead you around the table extolling the virtues of each food, but whenever you reach for an item, they begin shouting and waiving their arms madly. 

“YOU CAN ONLY HAVE ONE!” 

And then they begin ferociously detailing to you all the things about your chosen snack that totally suck, while fervently encouraging you to just go ahead and choose something already!

Peas don’t care about affinities. They just like hanging out in pods together.Image credit: B. Todd

Peas don’t care about affinities. They just like hanging out in pods together.

Image credit: B. Todd

Now, to be fair, a most individuals new to research have some pretty unrealistic ideas about what they can accomplish in a finite amount of time with limited resources and have an even vaguer understanding of what it is they actually want to do (beyond, “Change the World!”). So, a lot of the work mentors do is trying to get students to narrow down their ideas into something coherent and doable.

What does this have to do with science affinity? Let me tell you!

As a not-so-long-ago baby academic myself, I was faced with a conundrum. As a baby academics go, I had a leg up on many of my peers. I knew exactly which snack I wanted (maple donut, thank you), what the implications of that snack were (Hello, newer, roomier jeans [2]), and where I could find my snack. In fact, I’d been working on my project already before starting my PhD program. I wanted to investigate the impacts of the SPICE program on girls science identities. I was just missing one thing, a way to measure those impacts. Here’s the thing, though, academics measure things and academics create things-that-measure-things[3]. But baby academics really need to pick just one. So you can either 

Measure things and talk about what you measured 

OR 

Create a thing-that-measures-things and talk about how that thing you made that measures things works.

It’s pretty challenging to do both. You have to pick.

I still don’t get what this has to do with science affinity?

I’m getting there! I’m getting there!

So, I was really much more interested in measuring identity in SPICE girls than I was in creating a new fangled instrument to measure identity [4]. So what do you do if you want to measure something and you don’t have time to reinvent the ruler? Well, you do what everyone in my family does, raid mom’s tool box [5]. In this case, moms tool box is stuff made by other researchers. Fortunately, other researchers actually like it when you take their tools, unlike moms, who would like not to have all there stuff lost under a mountain of legos. 

Otters together. Cuteness squared.Image credit: B. Todd

Otters together. Cuteness squared.

Image credit: B. Todd

I knew I wanted to measure girls science identities. I knew I needed to do it with survey questions, and I knew that 11 year old girls have about a 2 page/30 question tolerance for filling out surveys. That’s under the BEST circumstances. So I went looking for what other researchers had done before. Nice juicy, validated instruments were what I needed. After trawling the depths of Google Scholar I found nine scale measures that seemed to mostly fit the bill. What I didn’t find, was a simple measure of science identity. Go figure! Identity might be something complex and not easily measured in a handful of ordinal scale questions [6].

So, I cobbled together parts of the nine scale measures I’d found and I snuck in a four question scale measure of identity I’d made up for a pilot study a year earlier (hello tiny eclair, I filched from the infinite snack table while my advisor wasn’t looking) and thus was born . . . well, a three page survey that was really boring.

BUT! I tested it with SPICE kids, and I ran some factor analyses [7] and thus a slightly less boring two page survey that made some sort of thematic sense emerged.

One snail, two snail. Brown snail, slime snail.Image credit: B. Todd

One snail, two snail. Brown snail, slime snail.

Image credit: B. Todd

This two page survey contained four clusters of questions. These clusters measured science identity (or something like science identity), expectancy value for science, science self-efficacy, and attitudes toward science. Now, constantly typing out those four things got rather boring for me so I needed to come up with a name that encapsulated the whole suite of measures . . . and voilà, science affinity was born.

Fortunately, though my process for getting to affinity was rather haphazard, it turns out that these four items actually share something in common. They all fall under the heading of motivational research, and that’s what I do. I measure motivation for science using an amalgam of motivational theories that I call science affinity.

So when I use the term science affinity in this blog what I mean is:

  • Do they think science is cool?

  • Do they think science is valuable?

  • Do they think they’re good at science?

  • Do they think of themselves as scientists?

And that’s about it. Science affinity. The homunculus maple bar-éclair that is my snack of choice. 

Of course, I wasn’t really satisfied with one mashed up snack, but I’ll talk about my qualitative research in other posts. Hello, Pumpkin pie-maple bar-éclair.

~~~~~

[1] I have many thoughts about this. 

[2] Only half joking. Grad school really can pack on the pounds. I went from a mean lean triathlon running machine to a strange goblin creature hiding in a corner closet cramming maples bars in to my face and rocking back and forth singing the theme song to Sponge Bob Squarepants.

[3] We call them instruments. They generally do not produce sound.

[4] I still totally want to do that and if you happen to know 400-600 girls ages 11-14 who don’t mind taking a bunch of surveys please call me.

[5] All the pink labeling tape in the world won’t keep my husband and son from 5-fingering my measuring tape and nice rubber handled pliers. GAH!

[6] What’s an ordinal scale question, you ask? Actually, you already know. You just don’t know that you know. It’s what is famously called an “unknown, known.” Which is to say, they’re those questions people call you on the phone to ask. “If you were to rate your interest in having a full service toe waxing station at your work would you say you are: very disinterested, disinterested, neither interested nor disinterested, interested, or very interested?” 

[7] That’s a mathematical way of finding out which of the items on your survey are the “cool kids” who want to hang out together. And which are the sad kids, who have to eat lunch alone.

A list of all the survey instruments I filched from other researchers.

Cause it’s only stealing if you don’t give credit!

Adams, W. K., Perkins, K. K., Podolefsky, N. S., Dubson, M., Finkelstein, N. D., & Wieman, C. E. (2006). New instrument for measuring student beliefs about physics and learning physics: The Colorado learning attitudes about science survey. Physical Review Special Topics-Physics Education Research, 2(1).

Else-Quest, N. M., Mineo, C. C., & Higgins, A. (2013). Math and science attitudes and achievement at the intersection of gender and ethnicity. Psychology of Women Quarterly, 37(3), 293-309.

Germann, P. J. (1988). Development of the attitude toward science in school assessment and its use to investigate the relationship between science achievement and attitude toward science in school. Journal of Research in Science Teaching, 25(8), 689-703.