The Digitized Campus
Artificial Intelligence and Big Data in Higher Education
Will be published approx. on 2. December 2026
Book
Paperback/Softback
210 pages
979-8-8558-0769-1 (ISBN)
Description
Introduces readers to the rationale and risks of using AI and big data in higher education and shares novel applications for improving educational practice.
Colleges and universities collect-and own-more data than ever before. These data can be analyzed with powerful new tools to support student learning and faculty research. Yet, big data and artificial intelligence (AI) also represent unprecedented encroachments on student privacy rights and potential for unparalleled monitoring of employee and faculty work. The Digitized Campus takes a comprehensive view of the origins and ramifications of embracing AI and big data in higher education. It addresses a timely and globally relevant topic and is accessible for readers without data science training. Chapter authors use historical, legal, philosophical, methodological, and practitioner lenses to offer insights for higher education leaders and faculty who will influence the use of artificial intelligence and big data for years to come.
Colleges and universities collect-and own-more data than ever before. These data can be analyzed with powerful new tools to support student learning and faculty research. Yet, big data and artificial intelligence (AI) also represent unprecedented encroachments on student privacy rights and potential for unparalleled monitoring of employee and faculty work. The Digitized Campus takes a comprehensive view of the origins and ramifications of embracing AI and big data in higher education. It addresses a timely and globally relevant topic and is accessible for readers without data science training. Chapter authors use historical, legal, philosophical, methodological, and practitioner lenses to offer insights for higher education leaders and faculty who will influence the use of artificial intelligence and big data for years to come.
Reviews / Votes
"Other volumes on AI and big data tend to focus on the history of these concepts and prophesying what can/may/will occur with it going forward. This volume's investment toward informing practice and including the legal and ethical dimensions sets it apart." - Matthew A Witenstein, University of New MexicoMore details
Language
English
Place of publication
Albany, NY
United States
Target group
College/higher education
US School Grade: From College Freshman to College Graduate Student
Product notice
Paperback (trade)
Illustrations
3 Tables, black and white; 13 Halftones, black and white
Dimensions
Height: 229 mm
Width: 152 mm
Thickness: 14 mm
ISBN-13
979-8-8558-0769-1 (9798855807691)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Persons
Frank Fernandez is Associate Professor of Educational Leadership and Policy Analysis at University of Wisconsin, Madison. He is coauthor, with Hilary L. Coulson and Yali Zou, of Transformational University Leadership: A Case Study for 21st Century Leaders and Aspirational Research Universities and Leadership Talks: Candid Conversations with Academic Leaders. Neal H. Hutchens is Professor of Higher Education at the University of Kentucky. He is coauthor, with Barbara A. Lee, William A. Kaplin, and Jacob Rooksby, of The Law of Higher Education: Essentials for Legal and Administrative Practice. Rachel Dean Divaker is a PhD candidate at the University of Florida, specializing in Higher Education Administration and Policy. Vanessa Miller is Assistant Professor of Law at Florida International University College of Law. Brandi Hephner LaBanc is Vice President for Student and Campus Life and Associate Professor in the Higher Education program at Old Dominion University. She is coauthor, with Frank Fernandez, Neal H. Hutchens, and Kerry Brian Melear, of The Contested Campus: Aligning Professional Values, Social Justice, and Free Speech.
Content
1. The Rise of Artificial Intelligence and Big Data in Higher Education
Rachel Dean Divaker and Frank Fernandez
Section I: Legal, Ethical, and Philosophical Considerations
2. Algorithmic, Autonomous, and Artificial: How Big Data and Mediated Actions Reshape the Legal and Ethical Landscape of Academic Research
Jeffrey C. Sun
3. The Impact of Artificial Intelligence on Higher Education: Opportunity, Risk, and Responsible Governance
Melissa M. Carleton and Jeffrey Knight
4. Desiring Machines: The Sociotechnical Production of Datafication in Higher Education
Laura Smithers
5. Making a Digital Record of Campus Life: The Student Data Warehouse and the Datafication of Student Records in U.S. Higher Education
Michael Brown
Section II: Potential Uses to Inform Practice
6. Putting AI in Practice: Applications for Serving Students and Campuses
Brandi Hephner LaBanc, Chrysoula Malogianni, Zia Ahmed, and Fred H. Tugas
7. Predictive Policing in American Schools and Universities
Vanessa Miller
8. Artificial Communication and Media Realism for College Admissions
Sebastian Munoz-Najar Galvez, Jinsook Lee, AJ Alvero, Sheridan Stewart, Rene F. Kizilcec, and Amy Desiderio
9. Understanding Challenges Repaying Student Loans: An In-Depth Study Utilizing BERT Models for Emotion Recognition and Issue Classification
Yunhong Yang, Hiba Agha, Bahar Akman, Dan Kheloussi, and Qiwei He
10. Promising Applications for Promoting Disaster Resilience on College Campuses
Seyedeh Mobina Noorani, Changjie Chen, Kaleb E. Smith, Frank Fernandez, and Karla Saldana Ochoa
11. Connecting Theory, Ethics, and Practice: Future Directions for AI and Big Data in Higher Education
Rachel Dean Divaker
List of Contributors
Index
Rachel Dean Divaker and Frank Fernandez
Section I: Legal, Ethical, and Philosophical Considerations
2. Algorithmic, Autonomous, and Artificial: How Big Data and Mediated Actions Reshape the Legal and Ethical Landscape of Academic Research
Jeffrey C. Sun
3. The Impact of Artificial Intelligence on Higher Education: Opportunity, Risk, and Responsible Governance
Melissa M. Carleton and Jeffrey Knight
4. Desiring Machines: The Sociotechnical Production of Datafication in Higher Education
Laura Smithers
5. Making a Digital Record of Campus Life: The Student Data Warehouse and the Datafication of Student Records in U.S. Higher Education
Michael Brown
Section II: Potential Uses to Inform Practice
6. Putting AI in Practice: Applications for Serving Students and Campuses
Brandi Hephner LaBanc, Chrysoula Malogianni, Zia Ahmed, and Fred H. Tugas
7. Predictive Policing in American Schools and Universities
Vanessa Miller
8. Artificial Communication and Media Realism for College Admissions
Sebastian Munoz-Najar Galvez, Jinsook Lee, AJ Alvero, Sheridan Stewart, Rene F. Kizilcec, and Amy Desiderio
9. Understanding Challenges Repaying Student Loans: An In-Depth Study Utilizing BERT Models for Emotion Recognition and Issue Classification
Yunhong Yang, Hiba Agha, Bahar Akman, Dan Kheloussi, and Qiwei He
10. Promising Applications for Promoting Disaster Resilience on College Campuses
Seyedeh Mobina Noorani, Changjie Chen, Kaleb E. Smith, Frank Fernandez, and Karla Saldana Ochoa
11. Connecting Theory, Ethics, and Practice: Future Directions for AI and Big Data in Higher Education
Rachel Dean Divaker
List of Contributors
Index