Higher education digital divides are acute at MSIs, HBCUs, and TCUs, which have stark capability deficits in hardware, software, and broadband¶

Claim · All claims
Evidence · 1 study · theoretical r2 · q2
Currency · newest study 2024 · checked against its sources 2026-10-20 (automated, 1 of 1 entry) · not reviewed by a person · recheck by 2029: baselines and conditions change

Subclaims¶

q2 i? Minority-Serving Institutions, HBCUs, and TCUs are historically lower-resourced than other institutions, resulting in stark capability deficits in new hardware, software, and digital technologies and struggles to pay for reliable broadband. → msi-1

Evidence¶

msi-1¶

Jackson, J., Starr, J., and Weaver, D. (2024, August). A Framework for Digital Equity. Digital Promise. https://doi.org/10.51388/20.500.12265/223

q2 · i? · theoretical · r2

The report states that MSIs, HBCUs, and TCUs are historically lower-resourced than other public and private institutions, and that students enrolled there are less likely to use learning technologies in their coursework. No effect size is printed.

"As a result, they have stark capability deficits in new hardware, software, and digital technologies and struggle to pay for reliable broadband connections."

Discussion¶

Related Claims¶

• Technology access problems during the COVID shift were more prevalent among minoritized students and students from lower-income households — related
• Hispanic and low-income students reported more challenges and technology problems after the shift online than non-Hispanic White and higher-income peers; rural students did not differ — related
• Large shares of students faced technology problems serious enough to impede course participation: 44 percent internet connectivity and 23 percent hardware/software issues — related
• Schools serving large numbers of students of color and students from low-income families have significantly fewer resources than schools serving more affluent White students — related
• Institutions serving the most students of color have been underfunded, and flexible, long-term funding is needed, as illustrated by Maryland's $577 million for HBCUs and $150–544 million owed to Tennessee State University — a broader claim this one bears on
• AI in adult education risks reinforcing existing inequalities via the digital divide, particularly for rural, low-income, and marginalized learners — related
• Economic, educational, and geopolitical inequalities structure differential access to AI capabilities, reproducing an epistemic hierarchy — related
• Distributing hardware without capable software produced no measurable effect on mathematics or language scores in a large randomized evaluation, as the article reports citing Cristia et al. — related
• Canadian federal and provincial digital policies reflect a laissez-faire approach with near absence of consideration of affordability and digital skills for low-income adults — related
• Emergency federal funding narrowed the digital access divide during the pandemic but did not close the digital use divide — related