The Digital Edge. S. Craig Watkins
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During the first decade of the new millennium, student enrollment in the Austin Metro Area School District (MASD) increased 64 percent and was driven primarily by the enrollment of Latino, black, Asian, immigrant, and lower-income students.15 From 2000 to 2010, the district reported a 115 percent increase in Asian/Pacific Islander students, a 118 percent increase in black students, and a 177 percent increase in Latino students. White student enrollment during the period decreased by 9 percent. The demographic shifts inside the city limits of Austin were considerably different during this period and reflect the racial and class dynamics of population flows in the Austin metropolitan area.16
The rise of Austin’s innovation economy has led to sharp cost of living increases that are driving families, especially working poor and poor families, to the periphery of the city. A study by University of Texas researcher Eric Tang found that Austin was unique in one important way among the nation’s fastest-growing locales: it was the only one to have a net loss of African Americans.17
Social class and economics also marked the student population shifts. During this period, the MASD reported a 194 percent increase among students receiving free lunch and a 376 percent increase in students demonstrating limited English proficiency. Like the district as a whole, Freeway experienced a sharp rise among students from lower-income households. In 1997, 13 percent of Freeway students were designated as economically disadvantaged compared with 60 percent by 2011.
Finally, 45 percent of Freeway students were identified as “at risk” of dropping out of school during our time in the field.18 Labels like these are value laden and generally have implications for how teen bodies are perceived and schooled.19 In the context of education, for example, these labels impact how students are sorted and tracked into specific curricula and courses, which has significant implications for their opportunity to cultivate the social and academic skills that support either the school-to-work or the school-to-postsecondary-education transition.
The school district that we encountered while conducting our fieldwork was undergoing a dramatic transformation. Between the 1990s and the close of the first decade of the 2000s, the MASD transformed from a predominantly white and middle-income school district to a high minority and immigrant and lower-income district. Life at Freeway reflected these changes and the challenges that ensued for the school, students, and their families. These big demographic shifts were visible in our fieldwork and illuminate the social, economic, and educational disparities that are central features of the digital edge.
The Resegregation of Schools and Learning
One of the defining characteristics of U.S. schools is sharp racial segregation. Because most schools are neighborhood schools, this is a reflection of the legacy of residential segregation along racial, ethnic, and economic lines.20 Freeway, however, was a multiracial, multiethnic, and multilingual school. During our fieldwork, the Freeway student population was predominantly Latino (48 percent) and African American (24 percent), but Asian (13 percent) and white (11 percent) students were also represented among the student body. English language learners represented 11 percent of the student population.
If the racial and ethnic diversity at Freeway ran against the norm, the racial academic achievement gaps at Freeway were consistent with long-standing patterns. One of the ironies of racially diverse schools is that they end up being racially segregated within, especially along academic lines and perceived academic ability. White and Asian American students, for instance, are much more likely to be represented in the high track, Advanced Placement (AP), college prep, and gifted courses.21 By contrast, black and Latino students are typically underrepresented in those classes, thus leading to some racially inflected notions about race, learning, and ability. Some researchers refer to this as second-generation segregation, a reference to a post–civil rights era of schooling that reproduces many of the disparities in educational opportunity associated with previous formations of racially segregated schools. Data compiled by the Texas Education Agency highlights clear racial achievement disparities at Freeway.
For example, Asian (57 percent) and white (43 percent) students were more than twice as likely as Latino (20 percent) or black (15 percent) students to have taken at least one AP or International Baccalaureate examination. White (71 percent) and Asian (66 percent) students were substantially more likely than Latino (39 percent) or black (38 percent) students to be college ready in English language arts and mathematics, two cornerstone academic subjects. English language learner (71 percent), Latino (83 percent), and black (88 percent) students were less likely to complete high school in four years than their Asian (93 percent) and white (91 percent) counterparts. Moreover, Latino and English language learners were the most likely to leave high school without a diploma in hand. The academic disparities at Freeway are consistent with national educational trends in which black and Latinos, compared to white and Asian students, score much lower on educational tests and are also less likely to be enrolled in advanced academic courses.22
These achievement gaps explain, in part, why white and Asian students were much more likely to earn a postsecondary degree within six years of high school graduation than their black and Latino counterparts.23 Many of the students that we met did not see college as an option in their future. As we discuss in the book’s conclusion, students who do not earn a postsecondary credential are especially vulnerable in an economy that privileges higher-educated and higher-skill persons.
The Shifting Contours of the Digital Divide
Our examination of the digital edge was also shaped by another important development—the remaking of the digital divide. Even in a school in which 65 percent of the students were designated as economically disadvantaged, we routinely witnessed students using the Internet and social and mobile media technologies. For example, students used digital cameras, computers, and editing software to produce videos and graphic art in technology courses. Students also used game-authoring software to design simple games in their game design class. At Freeway, technology was incorporated in some of the classes, but the most creative uses took place in the after-school hours. During that time we observed students codesigning digital media and learning environments to support extracurricular activities and media projects that were peer driven, creative, and tech savvy.
Freeway was not a technology-poor school. In fact, the use of technology by the students in our study illuminates how widely the adoption of the Internet, for example, has spread across U.S. schools. In 2000 low-income students attended schools that offered limited access to computers and the Internet, if they offered it all.24 By 2005, schools emerged as one of the more reliable places for lower-income students to access computers and the Internet.25
As recently as the early 2000s, young blacks and Latinos barely figured in the conversations about technology adoption and use. At best, they were considered laggards or late adopters. This gave rise to the digital divide concept, a narrative that largely viewed blacks and Latinos as marginal to the digital world.26 The data since the middle 2000s strongly suggest that black and Latino teens have become increasingly central in the making of the teen-driven social media and digital world.