---
title: "Bibliography"
slug: "bibliography"
kind: "backmatter"
order: 30
summary: "The following bibliography provides the research foundation recommended for the final editorial and fact-checking process for The AI-Native University. It covers the historical evolution of"
words: 3561
---

## The AI-Native University
The following bibliography provides the research foundation recommended for the final editorial and fact-checking process for _The AI-Native University_. It covers the historical evolution of universities, pressures facing contemporary higher education, learning science, personalized education, artificial intelligence, institutional transformation, research, enterprise architecture, governance, ethics, privacy, accessibility, and the future of work.

The bibliography is organized thematically rather than chapter by chapter because many sources support arguments that appear across several chapters and appendices. During the final revision, individual citations should be connected to the specific historical claims, empirical findings, regulatory statements, and conceptual frameworks they substantiate.

## I. History and Purpose of the University
Anderson, Robert D. _European Universities from the Enlightenment to 1914_. Oxford University Press, 2004.

Bok, Derek. _Higher Education in America_. Princeton University Press, 2013.

Boyer, Ernest L. _Scholarship Reconsidered: Priorities of the Professoriate_. Carnegie Foundation for the Advancement of Teaching, 1990.

Clark, Burton R. _The Higher Education System: Academic Organization in Cross-National Perspective_. University of California Press, 1983.

Flexner, Abraham. _Universities: American, English, German_. Oxford University Press, 1930.

Geiger, Roger L. _The History of American Higher Education: Learning and Culture from the Founding to World War II_. Princeton University Press, 2015.

Kerr, Clark. _The Uses of the University_. Harvard University Press, 1963.

Menand, Louis. _The Marketplace of Ideas: Reform and Resistance in the American University_. W. W. Norton, 2010.

Newman, John Henry. _The Idea of a University_. Longmans, Green and Co., 1852.

Pelikan, Jaroslav. _The Idea of the University: A Reexamination_. Yale University Press, 1992.

Readings, Bill. _The University in Ruins_. Harvard University Press, 1996.

Ridder-Symoens, Hilde de, editor. _A History of the University in Europe, Volume I: Universities in the Middle Ages_. Cambridge University Press, 1992.

Rothblatt, Sheldon, and Björn Wittrock, editors. _The European and American University Since 1800: Historical and Sociological Essays_. Cambridge University Press, 1993.

Rüegg, Walter, editor. _A History of the University in Europe, Volume III: Universities in the Nineteenth and Early Twentieth Centuries, 1800–1945_. Cambridge University Press, 2004.

Rüegg, Walter, editor. _A History of the University in Europe, Volume IV: Universities Since 1945_. Cambridge University Press, 2011.

Shils, Edward. _The Calling of Education: The Academic Ethic and Other Essays on Higher Education_. University of Chicago Press, 1997.

Thelin, John R. _A History of American Higher Education_. Third edition. Johns Hopkins University Press, 2019.

Veysey, Laurence R. _The Emergence of the American University_. University of Chicago Press, 1965.

## II. Contemporary Higher Education and Institutional Pressure
Archibald, Robert B., and David H. Feldman. _Why Does College Cost So Much?_ Oxford University Press, 2011.

Baum, Sandy, and Michael McPherson. _Can College Level the Playing Field? Higher Education in an Unequal Society_. Princeton University Press, 2022.

Bowen, William G. _Higher Education in the Digital Age_. Princeton University Press, 2013.

Christensen, Clayton M., and Henry J. Eyring. _The Innovative University: Changing the DNA of Higher Education from the Inside Out_. Jossey-Bass, 2011.

Deming, David J. “The Growing Importance of Decision-Making on the Job.” _The Quarterly Journal of Economics_, vol. 136, no. 3, 2021, pp. 1445–1502.

Grawe, Nathan D. _Demographics and the Demand for Higher Education_. Johns Hopkins University Press, 2018.

Grawe, Nathan D. _The Agile College: How Institutions Successfully Navigate Demographic Changes_. Johns Hopkins University Press, 2021.

Kezar, Adrianna, and Peter D. Eckel. “The Effect of Institutional Culture on Change Strategies in Higher Education.” _The Journal of Higher Education_, vol. 73, no. 4, 2002, pp. 435–460.

Levine, Arthur, and Scott Van Pelt. _The Great Upheaval: Higher Education’s Past, Present, and Uncertain Future_. Johns Hopkins University Press, 2021.

McGee, Jon. _Breakpoint: The Changing Marketplace for Higher Education_. Johns Hopkins University Press, 2015.

National Center for Education Statistics. _Digest of Education Statistics_. U.S. Department of Education, updated annually.

National Student Clearinghouse Research Center. _Current Term Enrollment Estimates_. National Student Clearinghouse, updated periodically.

Selingo, Jeffrey J. _College Unbound: The Future of Higher Education and What It Means for Students_. New Harvest, 2013.

Trow, Martin. “Problems in the Transition from Elite to Mass Higher Education.” _Policies for Higher Education_, OECD, 1974.

## III. Digital and Online Transformation
Allen, I. Elaine, and Jeff Seaman. _Digital Learning Compass: Distance Education Enrollment Report_. Babson Survey Research Group, 2017.

Bates, A. W. _Teaching in a Digital Age: Guidelines for Designing Teaching and Learning_. Second edition. Tony Bates Associates, 2019.

Castells, Manuel. _The Rise of the Network Society_. Second edition. Wiley-Blackwell, 2010.

EDUCAUSE. _2024 EDUCAUSE Horizon Report: Teaching and Learning Edition_. EDUCAUSE, 2024.

EDUCAUSE. _2024 EDUCAUSE AI Landscape Study_. EDUCAUSE, 2024.

EDUCAUSE. _2025 EDUCAUSE AI Landscape Study: Into the Digital AI Divide_. EDUCAUSE, 2025.

Garrison, D. Randy, Terry Anderson, and Walter Archer. “Critical Inquiry in a Text-Based Environment: Computer Conferencing in Higher Education.” _The Internet and Higher Education_, vol. 2, nos. 2–3, 2000, pp. 87–105.

Hodges, Charles, et al. “The Difference Between Emergency Remote Teaching and Online Learning.” _EDUCAUSE Review_, 2020.

Means, Barbara, et al. _Evaluation of Evidence-Based Practices in Online Learning: A Meta-Analysis and Review of Online Learning Studies_. U.S. Department of Education, 2010.

Moore, Michael G. “Theory of Transactional Distance.” In _Theoretical Principles of Distance Education_, edited by Desmond Keegan, Routledge, 1993.

OECD. _OECD Digital Education Outlook 2021: Pushing the Frontiers with Artificial Intelligence, Blockchain and Robots_. OECD Publishing, 2021.

OECD. _OECD Digital Education Outlook 2023: Towards an Effective Digital Education Ecosystem_. OECD Publishing, 2023.

Quality Matters. _Higher Education Rubric_. Quality Matters, current edition.

Selwyn, Neil. _Education and Technology: Key Issues and Debates_. Third edition. Bloomsbury Academic, 2021.

## IV. Learning Science, Personalization, and Assessment
Ambrose, Susan A., et al. _How Learning Works: Seven Research-Based Principles for Smart Teaching_. Jossey-Bass, 2010.

Anderson, Lorin W., and David R. Krathwohl, editors. _A Taxonomy for Learning,_. _Teaching, and Assessing: A Revision of Bloom’s Taxonomy of Educational Objectives_ Longman, 2001.

Bandura, Albert. _Self-Efficacy: The Exercise of Control_. W. H. Freeman, 1997.

. Biggs, John, and Catherine Tang. _Teaching for Quality Learning at University_ Fourth edition. Open University Press, 2011.

Black, Paul, and Dylan Wiliam. “Assessment and Classroom Learning.” _Assessment in Education_, vol. 5, no. 1, 1998, pp. 7–74.

Bloom, Benjamin S. “The 2 Sigma Problem: The Search for Methods of Group Instruction as Effective as One-to-One Tutoring.” _Educational Researcher_, vol. 13, no. 6, 1984, pp. 4–16.

Bransford, John D., Ann L. Brown, and Rodney R. Cocking, editors. _How People Learn: Brain, Mind, Experience, and School_. Expanded edition. National Academies Press, 2000.

CAST. _Universal Design for Learning Guidelines_. CAST, current edition.

Deci, Edward L., and Richard M. Ryan. _Intrinsic Motivation and Self-Determination in Human Behavior_. Plenum Press, 1985.

Dunlosky, John, et al. “Improving Students’ Learning with Effective Learning Techniques.” _Psychological Science in the Public Interest_, vol. 14, no. 1, 2013, pp. 4–58.

Ericsson, K. Anders, Ralf Th. Krampe, and Clemens Tesch-Römer. “The Role of Deliberate Practice in the Acquisition of Expert Performance.” _Psychological Review_, vol. 100, no. 3, 1993, pp. 363–406.

Hattie, John. _Visible Learning: A Synthesis of Over 800 Meta-Analyses Relating to Achievement_. Routledge, 2009.

Hattie, John, and Helen Timperley. “The Power of Feedback.” _Review of Educational Research_, vol. 77, no. 1, 2007, pp. 81–112.

Kolb, David A. _Experiential Learning: Experience as the Source of Learning and Development_. Second edition. Pearson, 2015.

National Academies of Sciences, Engineering, and Medicine. _How People Learn II: Learners, Contexts, and Cultures_. National Academies Press, 2018.

Nicol, David J., and Debra Macfarlane-Dick. “Formative Assessment and Self-Regulated Learning.” _Studies in Higher Education_, vol. 31, no. 2, 2006, pp. 199–218.

Panadero, Ernesto. “A Review of Self-Regulated Learning.” _Frontiers in Psychology_, vol. 8, 2017.

Roediger, Henry L., and Jeffrey D. Karpicke. “Test-Enhanced Learning.” _Psychological Science_, vol. 17, no. 3, 2006, pp. 249–255.

. Vygotsky, Lev S. _Mind in Society: The Development of Higher Psychological Processes_ Harvard University Press, 1978.

Wiggins, Grant, and Jay McTighe. _Understanding by Design_. Expanded second edition. ASCD, 2005.

Zimmerman, Barry J. “Becoming a Self-Regulated Learner.” _Theory Into Practice_, vol. 41, no. 2, 2002, pp. 64–70.

## V. Competency-Based Education, Credentials, and Lifelong Learning
. Council for Adult and Experiential Learning. _Ten Standards for Assessing Learning_ CAEL, current edition.

European Commission. _A European Approach to Micro-Credentials for Lifelong Learning and Employability_. Publications Office of the European Union, 2022.

Gallagher, Sean R. _The Future of University Credentials: New Developments at the Intersection of Higher Education and Hiring_. Harvard Education Press, 2016.

Klein-Collins, Rebecca. _Never Too Late: The Adult Student’s Guide to College_. New Press, 2018.

Lumina Foundation. _Connecting Credentials: A Beta Credentials Framework_. Lumina Foundation, 2015.

Organisation for Economic Co-operation and Development. _OECD Skills Outlook 2021: Learning for Life_. OECD Publishing, 2021.

Pelletier, Katherine, et al. _2024 EDUCAUSE Horizon Report: Teaching and Learning Edition_. EDUCAUSE, 2024.

Soares, Louis, editor. _Post-Traditional Learners and the Transformation of Postsecondary Education_. American Council on Education, 2013.

U.S. Department of Education. _Competency-Based Education Experiment Reference Guide_. Federal Student Aid.

Van der Hijden, Peter. _Digitization of Credentials: Quality of Shorter-Term Educational Experiences_. UNESCO and related international policy literature.

## VI. Artificial Intelligence in Education
Baker, Ryan S., and Paul Inventado. “Educational Data Mining and Learning Analytics.” In _Learning Analytics_, edited by Johann Ari Larusson and Brandon White, Springer, 2014.

Chen, Lijia, Pingping Chen, and Zhijian Lin. “Artificial Intelligence in Education: A Review.” _IEEE Access_, vol. 8, 2020, pp. 75264–75278.

EDUCAUSE. _AI Literacy in Teaching and Learning_. EDUCAUSE, 2024.

European Commission. _Ethical Guidelines on the Use of Artificial Intelligence and Data in Teaching and Learning for Educators_. Publications Office of the European Union, 2022.

Holmes, Wayne, Maya Bialik, and Charles Fadel. _Artificial Intelligence in Education: Promises and Implications for Teaching and Learning_. Center for Curriculum Redesign, 2019.

Holmes, Wayne, and Ilkka Tuomi. “State of the Art and Practice in AI in Education.” _European Journal of Education_, vol. 57, no. 4, 2022, pp. 542–570.

Kasneci, Enkelejda, et al. “ChatGPT for Good? On Opportunities and Challenges of Large Language Models for Education.” _Learning and Individual Differences_, vol. 103, 2023.

Luckin, Rose. _Machine Learning and Human Intelligence: The Future of Education for the 21st Century_. UCL Institute of Education Press, 2018.

Miao, Fengchun, and Wayne Holmes. _Guidance for Generative AI in Education and Research_. UNESCO, 2023.

OECD. _OECD Digital Education Outlook 2026: Exploring Effective Uses of Generative AI in Education_. OECD Publishing, 2026.

Roll, Ido, and Ruth Wylie. “Evolution and Revolution in Artificial Intelligence in Education.” _International Journal of Artificial Intelligence in Education_, vol. 26, 2016, pp. 582–599.

U.S. Department of Education, Office of Educational Technology. _Artificial_. _Intelligence and the Future of Teaching and Learning: Insights and Recommendations_ U.S. Department of Education, 2023.

UNESCO. _AI and Education: Guidance for Policy-Makers_. UNESCO, 2021.

UNESCO. _ChatGPT and Artificial Intelligence in Higher Education: Quick Start Guide_. UNESCO International Institute for Higher Education in Latin America and the Caribbean, 2023.

UNESCO. _Recommendation on the Ethics of Artificial Intelligence_. UNESCO, 2021.

Williamson, Ben, Rebecca Eynon, and John Potter. “Pandemic Politics, Pedagogies and Practices.” Relevant writings on datafication, automation, and education technology should be consulted for critical balance.

Zawacki-Richter, Olaf, et al. “Systematic Review of Research on Artificial Intelligence Applications in Higher Education.” _International Journal of Educational Technology in Higher Education_, vol. 16, article 39, 2019.

## VII. Generative AI, Foundation Models, and Agentic Systems
Amershi, Saleema, et al. “Guidelines for Human-AI Interaction.” _Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems_, 2019.

Bommasani, Rishi, et al. “On the Opportunities and Risks of Foundation Models.” Stanford Center for Research on Foundation Models, 2021.

Brown, Tom B., et al. “Language Models Are Few-Shot Learners.” _Advances in Neural Information Processing Systems_, vol. 33, 2020.

Lewis, Patrick, et al. “Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.” _Advances in Neural Information Processing Systems_, vol. 33, 2020.

Mitchell, Margaret, et al. “Model Cards for Model Reporting.” _Proceedings of the Conference on Fairness, Accountability, and Transparency_, 2019.

OpenAI. _GPT-4 Technical Report_. 2023.

OpenAI. _GPT-4o System Card_. 2024.

OpenAI. _Model Spec_. Current edition.

Park, Joon Sung, et al. “Generative Agents: Interactive Simulacra of Human Behavior.” _Proceedings of the ACM Symposium on User Interface Software and Technology_, 2023.

ReAct Authors. Yao, Shunyu, et al. “ReAct: Synergizing Reasoning and Acting in Language Models.” _International Conference on Learning Representations_, 2023.

Schick, Timo, et al. “Toolformer: Language Models Can Teach Themselves to Use Tools.” _Advances in Neural Information Processing Systems_, 2023.

Wei, Jason, et al. “Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.” _Advances in Neural Information Processing Systems_, 2022.

Weidinger, Laura, et al. “Taxonomy of Risks Posed by Language Models.” _Proceedings of the ACM Conference on Fairness, Accountability, and Transparency_, 2022.

Wu, Qingyun, et al. “AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation.” Microsoft Research, 2023.

## VIII. AI Governance, Ethics, and Responsible Innovation
Barocas, Solon, Moritz Hardt, and Arvind Narayanan. _Fairness and Machine Learning: Limitations and Opportunities_. MIT Press, 2023.

Bender, Emily M., et al. “On the Dangers of Stochastic Parrots.” _Proceedings of the ACM Conference on Fairness, Accountability, and Transparency_, 2021.

European Union. _Regulation Laying Down Harmonised Rules on Artificial Intelligence: Artificial Intelligence Act_. European Union, 2024.

Floridi, Luciano, and Josh Cowls. “A Unified Framework of Five Principles for AI in Society.” _Harvard Data Science Review_, vol. 1, no. 1, 2019.

Gebru, Timnit, et al. “Datasheets for Datasets.” _Communications of the ACM_, vol. 64, no. 12, 2021, pp. 86–92.

Institute of Electrical and Electronics Engineers. _IEEE 7000-2021: Standard Model Process for Addressing Ethical Concerns During System Design_. IEEE, 2021.

Jobin, Anna, Marcello Ienca, and Effy Vayena. “The Global Landscape of AI Ethics Guidelines.” _Nature Machine Intelligence_, vol. 1, 2019, pp. 389–399.

National Institute of Standards and Technology. _Artificial Intelligence Risk Management Framework 1.0_. NIST AI 100-1, 2023.

National Institute of Standards and Technology. _Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile_. NIST AI 600-1, 2024.

OECD. _Recommendation of the Council on Artificial Intelligence_. OECD, originally adopted 2019 and subsequently updated.

Office of Management and Budget. _Advancing Governance, Innovation, and Risk Management for Agency Use of Artificial Intelligence_. Memorandum M-24-10, 2024.

UNESCO. _Recommendation on the Ethics of Artificial Intelligence_. UNESCO, 2021.

White House Office of Science and Technology Policy. _Blueprint for an AI Bill of Rights_. Executive Office of the President, 2022.

World Health Organization. _Ethics and Governance of Artificial Intelligence for Health_. WHO, 2021.

## IX. Privacy, Security, Accessibility, and Compliance
National Institute of Standards and Technology. _Cybersecurity Framework 2.0_. NIST, 2024.

National Institute of Standards and Technology. _Privacy Framework: A Tool for Improving Privacy Through Enterprise Risk Management_. Version 1.0, 2020.

National Institute of Standards and Technology. _Zero Trust Architecture_. NIST Special Publication 800-207, 2020.

OWASP Foundation. _OWASP Top 10 for Large Language Model Applications_. Current edition.

U.S. Congress. _Family Educational Rights and Privacy Act_, 20 U.S.C. § 1232g.

_FERPA Guidance and_ U.S. Department of Education, Student Privacy Policy Office. _Resources_. Current guidance.

U.S. Department of Health and Human Services. _Health Insurance Portability and_. Current _Accountability Act Privacy, Security, and Breach Notification Rules_ regulations and guidance.

U.S. Department of Justice. _Americans with Disabilities Act Requirements_. Current guidance.

U.S. General Services Administration. _Section 508 Standards_. Current standards and implementation guidance.

Web Accessibility Initiative. _Web Content Accessibility Guidelines 2.2_. World Wide Web Consortium, 2023.

World Wide Web Consortium. _Accessible Rich Internet Applications 1.2_. W3C Recommendation, 2023.

1EdTech Consortium.. Current _Learning Tools Interoperability Core Specification 1.3_ edition.

1EdTech Consortium.. Current edition. _OneRoster Specification_

Internet Engineering Task Force. Hardt, Dick. _The OAuth 2.0 Authorization Framework_. RFC 6749, 2012.

OpenID Foundation. _OpenID Connect Core 1.0_. 2014.

## X. Research, Scholarship, and Scientific Integrity
Council of Science Editors. _White Paper on Publication Ethics_. Current edition.

European Commission. _Living Guidelines on the Responsible Use of Generative AI in Research_. Current edition.

National Academies of Sciences, Engineering, and Medicine. _Fostering Integrity in Research_. National Academies Press, 2017.

National Institutes of Health. _Data Management and Sharing Policy_. Effective 2023.

National Science Foundation. _Proposal and Award Policies and Procedures Guide_. Current edition.

Office of Research Integrity. _Introduction to the Responsible Conduct of Research_. U.S. Department of Health and Human Services.

Resnik, David B. _The Ethics of Science: An Introduction_. Routledge, 1998.

Steneck, Nicholas H. _ORI Introduction to the Responsible Conduct of Research_. U.S. Government Printing Office, 2007.

The Committee on Publication Ethics. _COPE Guidelines_. Current editions.

The International Committee of Medical Journal Editors. _Recommendations for the_. _Conduct, Reporting, Editing, and Publication of Scholarly Work in Medical Journals_ Current edition.

## XI. Organizational Learning and Institutional Transformation
Argyris, Chris, and Donald A. Schön. _Organizational Learning II: Theory, Method, and Practice_. Addison-Wesley, 1996.

Beer, Michael, Russell A. Eisenstat, and Bert Spector. “Why Change Programs Don’t Produce Change.” _Harvard Business Review_, November–December 1990.

Bolman, Lee G., and Terrence E. Deal. _Reframing Organizations: Artistry, Choice, and Leadership_. Seventh edition. Jossey-Bass, 2021.

Bryk, Anthony S., et al. _Learning to Improve: How America’s Schools Can Get Better at Getting Better_. Harvard Education Press, 2015.

Fullan, Michael. _Leading in a Culture of Change_. Jossey-Bass, 2001.

Heifetz, Ronald A., Alexander Grashow, and Marty Linsky. _The Practice of Adaptive Leadership_. Harvard Business Press, 2009.

Kezar, Adrianna. _How Colleges Change: Understanding, Leading, and Enacting Change_. Second edition. Routledge, 2018.

Kotter, John P. _Leading Change_. Harvard Business School Press, 1996.

March, James G. “Exploration and Exploitation in Organizational Learning.” _Organization Science_, vol. 2, no. 1, 1991, pp. 71–87.

Rogers, Everett M. _Diffusion of Innovations_. Fifth edition. Free Press, 2003.

Schein, Edgar H., and Peter A. Schein. _Organizational Culture and Leadership_. Fifth edition. Wiley, 2017.

Senge, Peter M. _The Fifth Discipline: The Art and Practice of the Learning Organization_. Revised edition. Currency, 2006.

Weick, Karl E. _Sensemaking in Organizations_. Sage Publications, 1995.

## XII. Future of Work and Human–AI
## Collaboration
Acemoglu, Daron, and Simon Johnson. _Power and Progress: Our Thousand-Year Struggle Over Technology and Prosperity_. PublicAffairs, 2023.

Autor, David H. “Why Are There Still So Many Jobs? The History and Future of Workplace Automation.” _Journal of Economic Perspectives_, vol. 29, no. 3, 2015, pp. 3–30.

Brynjolfsson, Erik, Danielle Li, and Lindsey R. Raymond. “Generative AI at Work.” National Bureau of Economic Research Working Paper No. 31161, 2023.

Davenport, Thomas H., and Julia Kirby. _Only Humans Need Apply: Winners and Losers in the Age of Smart Machines_. Harper Business, 2016.

Daugherty, Paul R., and H. James Wilson. _Human + Machine: Reimagining Work in the Age of AI_. Harvard Business Review Press, 2018.

Dell’Acqua, Fabrizio, et al. “Navigating the Jagged Technological Frontier.” Harvard Business School Working Paper, 2023.

International Labour Organization. _Generative AI and Jobs: A Global Analysis of Potential Effects on Job Quantity and Quality_. ILO, 2023.

McKinsey Global Institute. _The Economic Potential of Generative AI: The Next Productivity Frontier_. McKinsey & Company, 2023.

Organisation for Economic Co-operation and Development. _OECD Employment Outlook 2023: Artificial Intelligence and the Labour Market_. OECD Publishing, 2023.

World Economic Forum. _The Future of Jobs Report_. Current edition.

## XIII. Enterprise Architecture, Institutional Systems, and Knowledge
Bass, Len, Paul Clements, and Rick Kazman. _Software Architecture in Practice_. Fourth edition. Addison-Wesley, 2021.

DAMA International. _DAMA-DMBOK: Data Management Body of Knowledge_. Second edition. Technics Publications, 2017.

Evans, Eric. _Domain-Driven Design: Tackling Complexity in the Heart of Software_. Addison-Wesley, 2003.

Fielding, Roy Thomas. _Architectural Styles and the Design of Network-Based Software Architectures_. Doctoral dissertation, University of California, Irvine, 2000.

Kleppmann, Martin. _Designing Data-Intensive Applications_. O’Reilly Media, 2017.

Newman, Sam. _Building Microservices_. Second edition. O’Reilly Media, 2021.

Nonaka, Ikujiro, and Hirotaka Takeuchi. _The Knowledge-Creating Company_. Oxford University Press, 1995.

The Open Group. _The TOGAF Standard_. Current edition.

1EdTech Consortium. _Learning Tools Interoperability_, _OneRoster_, and related interoperability specifications. Current editions.

## XIV. Student Success, Advising, and Belonging
Astin, Alexander W. _What Matters in College? Four Critical Years Revisited_. Jossey-Bass, 1993.

Kuh, George D. _High-Impact Educational Practices_. Association of American Colleges and Universities, 2008.

Museus, Samuel D. “The Culturally Engaging Campus Environments Model.” In _Higher Education: Handbook of Theory and Research_, Springer, 2014.

Pascarella, Ernest T., and Patrick T. Terenzini. _How College Affects Students_. Volume 2. Jossey-Bass, 2005.

Strayhorn, Terrell L. _College Students’ Sense of Belonging_. Second edition. Routledge, 2019.

Tinto, Vincent. _Leaving College: Rethinking the Causes and Cures of Student Attrition_. Second edition. University of Chicago Press, 1993.

Tinto, Vincent. _Completing College: Rethinking Institutional Action_. University of Chicago Press, 2012.

Yeager, David S., et al. “A National Experiment Reveals Where a Growth Mindset Improves Achievement.” _Nature_, vol. 573, 2019, pp. 364–369.

## XV. Leadership, Governance, and the Public Mission
Association of Governing Boards of Universities and Colleges. _Principles of Trusteeship_. AGB, current edition.

Birnbaum, Robert. _How Colleges Work: The Cybernetics of Academic Organization and Leadership_. Jossey-Bass, 1988.

Bok, Derek. _Universities in the Marketplace: The Commercialization of Higher Education_. Princeton University Press, 2003.

Kezar, Adrianna, and Daniel Maxey. _Envisioning the Faculty for the Twenty-First Century_. Rutgers University Press, 2016.

National Association of College and University Attorneys. Guidance and resources concerning artificial intelligence, privacy, contracting, and institutional risk.

Organisation for Economic Co-operation and Development. _Education at a Glance_. OECD Publishing, updated annually.

Ostrom, Elinor. _Governing the Commons_. Cambridge University Press, 1990.

Putnam, Robert D. _Bowling Alone: The Collapse and Revival of American Community_. Simon & Schuster, 2000.

Shared Governance Literature from the American Association of University Professors. _Statement on Government of Colleges and Universities_. AAUP, 1966, with subsequent interpretive guidance.
