The fourth and final digital divide, as featured in our digital equity whitepaper, is in reference to representation in the online learning content, technology industry, and computer science workforce.
In order to feel a sense of belonging, connection to the learning, and empowerment to pursue advanced academics and employment, diversity and representation are necessary.
In an article by Kevin Clark in the Journal of Children and Media, he explains:
“The digital divide will not be truly closed until the content available reflects the full spectrum of our experiences and perspectives, so that fathers and mothers of all hues and demographic categories have access to books, videos, websites, and a whole host of media created by and containing characters who look like their daughters and sons.”
As more students gain access to technology and engage in online learning, it is essential that they are exposed to content that promotes inclusivity, showcases representation, and is accessible to all students. Especially in STEM and computer science contexts, special considerations need to be made to ensure that learning represents all students, even when the fields may lag in this.
A Computer Science Case Study
To illustrate the lack of diversity and representation, the following section will examine the computer science field as an example. In the industry:
Built on long-standing social barriers, this lack of representation skews female and minorities’ self-perception and whether they feel a sense of belonging in the field, which all halt their interest and advancement. And this lack of representation impacts everyone, especially when it comes to building an adequate computer science pipeline, developing accessible technology, and closing socioeconomic divides like the wealth gap.
Pipeline Build: Half of all new jobs in STEM are in computing. Now in 2020, unfilled computer science positions reach over one million with only eight percent of college graduates in STEM electing to major in computer science. From a purely numbers standpoint, the more students who are exposed and encouraged to pursue computer science will help to temper the insufficient computer science pipeline.
Technology Accessibility: The design and function of technology is biased toward those developing it. For example, speech recognition software with smart speakers is more likely to understand men than women, and the same is true for people with accents. Another example is that facial recognition software repeatedly fails to recognize women and people of color, which again is in part due to the gender and race of those designing it.
Wealth Gaps: Finally, greater equity in the computer science workforce will also help to close gender and racial wealth gaps by enabling these groups to access higher incomes that empowers them, their family, and their community.
In Support of Representation
To remedy these divides, it’s essential that students have access to computer science and technology-driven learning experiences. For example, a study by Computer Science Education Week found that the likelihood women will major in computer science increases tenfold when they are enrolled in AP Computer Science, and Black and Latinx students are seven times more likely to major in it. Moreover, it’s essential to help students reach these more advanced computer science courses.
In order to do so, schools need to overcome the middle school cliff, which is where female and minority students often drop out of STEM courses. Starting at a younger age, instruction must break through these stereotypes to help overcome this notorious hurdle that prevents students from delving into more advanced classes and building skills in computer science.