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Tristan Jiang; Elina Liu; Tasawar Baig; Qingrong Li – New Directions for Higher Education, 2024
This chapter explores the potential of integrating conversational AI tools such as ChatGPT with data visualization (DV) tools such as Power BI in higher education settings. A brief history of chatbots is summarized and challenges and opportunities in higher education are outlined. The highlights include AI's prospects for enhancing data-informed…
Descriptors: Decision Making, Higher Education, Technology Uses in Education, Visual Aids
Emily J. Barnes – ProQuest LLC, 2024
This quantitative study investigates the predictive power of machine learning (ML) models on degree completion among adult learners in higher education, emphasizing the enhancement of data-driven decision-making (DDDM). By analyzing three ML models - Random Forest, Gradient-Boosting machine (GBM), and CART Decision Tree - within a not-for-profit,…
Descriptors: Artificial Intelligence, Higher Education, Models, Prediction
Laura Smithers – Change: The Magazine of Higher Learning, 2024
Speculative reform jumps the gun on notions of data-driven reform, requiring administrators to anticipate and act to ensure problems (and the data that would show them) do not materialize. Speculative reforms are incapable of delivering the outcomes they promise, as they are fueled by a fear of the future that their reforms do not extinguish. In…
Descriptors: Educational Policy, Higher Education, Educational Change, Outcomes of Education
Kate Ayres – Perspectives: Policy and Practice in Higher Education, 2024
This paper argues that a data-driven, niche-focused approach to strategy development will assist Higher Education Institutions to direct their financial resources to greater effect by providing a more tailored service to students, therefore, increasing student satisfaction and creating brand loyalty. This approach will give institutions greater…
Descriptors: Data Use, Decision Making, Student Recruitment, Foreign Countries
Md Akib Zabed Khan; Agoritsa Polyzou – Journal of Educational Data Mining, 2024
In higher education, academic advising is crucial to students' decision-making. Data-driven models can benefit students in making informed decisions by providing insightful recommendations for completing their degrees. To suggest courses for the upcoming semester, various course recommendation models have been proposed in the literature using…
Descriptors: Academic Advising, Courses, Data Use, Artificial Intelligence
Emily Oakes; Yih Tsao; Victor Borden – Association for Institutional Research, 2023
Accelerating advancements in learning analytics and artificial intelligence (AI) offers unprecedented opportunities for improving educational experiences. Without including students' perspectives, however, there is a potential for these advancements to inadvertently marginalize or harm the very individuals these technologies aim to support. This…
Descriptors: Learning Analytics, Artificial Intelligence, Student Participation, Decision Making
Ana Stojanov; Ben Kei Daniel – Education and Information Technologies, 2024
The need for data-driven decision-making primarily motivates interest in analysing Big Data in higher education. Although there has been considerable research on the value of Big Data in higher education, its application to address critical issues within the sector is still limited. This systematic review, conducted in December 2021 and…
Descriptors: Higher Education, Learning Analytics, Well Being, Decision Making
Tomás Bautista-Godínez; Gerardo Castañeda-Garza; Ricardo Pérez Mora; Hector G. Ceballos; Verónica Luna de la Luz; J. Gerardo Moreno-Salinas; Irma Rocío Zavala-Sierra; Roberto Santos-Solórzano; Carlos Iván Moreno Arellano; Melchor Sánchez-Mendiola – Journal of Learning Analytics, 2024
The adoption of learning analytics (LA) in higher education institutions (HEIs) in Mexico is still at an early stage despite increasing global interest and advances in the field. The use of educational data remains a challenging puzzle for many universities, which strive to provide students, teachers, and institutional administrators with…
Descriptors: Foreign Countries, Learning Analytics, Universities, Program Implementation
Breslin, James D.; Lawson-Harris, Tara; Hawkins, Beck; Elkins, Becki – New Directions for Institutional Research, 2020
The depths of the impact of COVID-19 on nearly every aspect of our personal and professional lives was becoming painfully clear in May and June of 2020. While institutions of higher education had implemented crisis/emergency plans in the immediate onset of the pandemic, and largely extended those efforts into summer terms, the fall 2020 term…
Descriptors: Data Use, Decision Making, COVID-19, Pandemics
Parnell, Amelia R. – New Directions for Institutional Research, 2019
For decades, colleges and universities have strived to use data to take bold actions and make big decisions. The result is an expanding community of higher education professionals who are leveraging analytics to deliver optimal learning experiences for students. This chapter will describe the evolution of data use in higher education with a focus…
Descriptors: Data Analysis, Data Use, Decision Making, Higher Education
Menon, Kirti; Motala, Shireen – Education as Change, 2021
The disruption of the academic year by the COVID-19 pandemic required higher education institutions to manage and lead under untenable conditions. This article is a case study of a leadership model adopted at the University of Johannesburg (UJ) located in South Africa. It offers insights into how the leadership and governance evolved and enabled…
Descriptors: Higher Education, Leadership Styles, Educational Administration, Governance
Ansell, Charles – Change: The Magazine of Higher Learning, 2021
Complete College America (CCA) is partnered with the National Student Clearinghouse in promoting the latter's Postsecondary Data Partnership (PDP), a data and reporting tool for tracking student success metrics. The PDP is offered at nominal cost, built for democratized data access, and encompasses transfer data native to Clearinghouse products,…
Descriptors: Data Collection, Data Use, Decision Making, Higher Education
Larkan-Skinner, Kara; Shedd, Jessica M. – New Directions for Institutional Research, 2020
As institutions seek to shift into more advanced analytics and data-based decision-support, many institutional research offices face the challenge of meeting the office's current demands while taking on more intricate and specialized work to support decision-making. Given the great need organizations have for information that supports real-time…
Descriptors: Data, Data Analysis, Prediction, Data Use
C. Roch Turner, Editor – IGI Global, 2024
In the aftermath of the COVID-19 upheaval, special education professionals grapple with a seismic surge in student behavioral issues. The challenges are formidable, and the interventions available often fall short of making a meaningful impact. "Best Practices for Behavior Intervention in Special Education" steps in to assist the urgent…
Descriptors: Student Behavior, Intervention, Special Education, Best Practices
Rachel Carly Feldman; Johanna S. Quinn; Alannah S. Caisey; Carol Chen – NORC at the University of Chicago, 2024
The Partnership for College Completion (PCC) was founded to "advance equity in higher education" by supporting colleges and universities to improve college completion for Black, Latinx, and Pell-eligible students--those groups that experience persistent disparities in completion. Simultaneously, PCC engages in state policy reform to…
Descriptors: Equal Education, Educational Policy, Higher Education, Partnerships in Education