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Joseph Santalucia – ProQuest LLC, 2022
The research is a descriptive correlational study that investigates new methods for the creation of innovation for institutions. The research addresses the need for organizations to generate a novel form of innovation for their competitiveness and survival. These novel methods in the generation of innovation include using an organization's big…
Descriptors: Data Science, Innovation, Data, Decision Making
Rebeka Man – ProQuest LLC, 2024
In today's era of large-scale data, academic institutions, businesses, and government agencies are increasingly faced with heterogeneous datasets. Consequently, there is a growing need to develop effective methods for extracting meaningful insights from this type of data. Quantile, expectile, and expected shortfall regression methods offer useful…
Descriptors: Data, Data Analysis, Data Use, Higher Education
Sheldon, Laurie – ProQuest LLC, 2022
Data permeates our digital world. As data and data visualizations become more ubiquitous in our everyday lives, individuals are required to use it as a resource for meaning making, and we as literacy researchers need to understand the ways that our literacy practices are changing because of data collection, storage, analysis, and transmission.…
Descriptors: Data, Information Literacy, Data Use, Critical Thinking
Keke Wu – ProQuest LLC, 2024
Data is everywhere, but not always accessible to everyone. Conventional data visualization tools and guidelines often assume a standard user, neglecting the neurodivergent needs of individuals with cognitive disabilities. These disabilities can create significant obstacles in data-driven reasoning, including difficulties in processing complex…
Descriptors: Visual Aids, Accessibility (for Disabled), Intellectual Disability, Developmental Disabilities
Jason Paul Browning – ProQuest LLC, 2021
Although familiar in business, the chief data officer position is a relatively new addition to the higher education landscape. As the role is introduced in colleges and universities, it is important to consider the additional challenges that exist within institutions and the higher education sector. Using a qualitative phenomenological approach,…
Descriptors: Higher Education, Emerging Occupations, Data, College Administration
Asmita Thakore – ProQuest LLC, 2021
The problem addressed in this study is that the potential roles of an artificial intelligence-enhanced chatbot using big data in e-learning in higher education were not widely documented in the research community. The purpose of this qualitative case study was to explore the potential roles of an artificial intelligence-enhanced chatbot using big…
Descriptors: Artificial Intelligence, Data, Synchronous Communication, Computer Software
Kiera Wade Warren – ProQuest LLC, 2022
According to the United States Department of Education (2012, 2016), degree completions are a vital measure of overall institution success. Significantly, declining student persistence rates and low degree completions are consistent problems in public colleges throughout the United States. Not only are diminishing retention and incomplete degrees…
Descriptors: College Students, Public Colleges, Academic Persistence, School Holding Power
Carolyn A. Wiley – ProQuest LLC, 2020
As federal guidelines have increased reporting demands on all sectors of education (United States Department of Education [USDOE], 2015) and state reporting requirements have expanded as legislatures call for performance-based funding (National Conference of State Legislatures, 2015), the need for institutional research offices has become the norm…
Descriptors: Institutional Research, Organizational Change, Data, Data Use
Jason Robert Murphy – ProQuest LLC, 2018
Implemented in 2013, the Local Control Funding Formula (LCFF) requires Local Education Agencies (LEA's) to engage in a continuous improvement process that identifies actions that extend and improve services for targeted student groups. The vision of the LCFF is that all stakeholder groups including Staff (certificated, classified, management and…
Descriptors: Data, Visualization, Stakeholders, Access to Information