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AI and Technology for Community College Leaders: Innovation, Equity, and Strategic Decision-Making

By 
Krishna Bista
, 
Ashley Callinan
, 
Cliford Mondesir
, 
Lisa Lynk
, 
Denise Gilmer-Knudson
, 
Ganga Basnet
, 
Jason Hutchinson
, 
Javon Inman
, 
Marcellas Preston
, 
Natasha Lewis-William
, 
Timothy Banks
Publisher : STAR SCHOLARS PRESS
Published : September 4, 2025
DOI: https://doi.org/10.32674/djbjv952
This book offers a practical and research-informed foundation for future community college leaders navigating the evolving digital landscape. Centered on the integration of educational technology into institutional planning, pedagogy, student success, and leadership, the book guides readers in critically evaluating digital tools, designing inclusive solutions, and anticipating emerging trends such as generative AI, cybersecurity, and equity-driven innovation. Blending theory, case studies, and reflective practice, this book equips doctoral students and practitioners with the skills needed to lead transformation in community colleges through ethical and strategic use of technology. Order your hardcopies  "This book is a vital resource for community college leaders, offering practical strategies to navigate technological change while prioritizing equitable student success. Its concise, actionable insights make it essential for shaping inclusive and innovative educational environments." — Lance D. Bowen, PhD, Dean, School of Science, Technology & Education, Anne Arundel Community College, Maryland   "A timely and transformative contribution, this book illuminates how community colleges can embrace digital innovation while staying true to their mission of access and equity. It is both practical and visionary, offering strategies that leaders, faculty, and staff can immediately apply to strengthen student success in a rapidly evolving landscape." —  Roshelle Lemon-Howard, EdD, MSN, RN, Assistant Professor & Coordinator, Practical Nursing Certificate Program, Baltimore City Community College   "This book provides an authentic look into the challenges and opportunities within community colleges. It highlights innovative practices that empower faculty and future educators, making it an invaluable guide for those committed to student success and educational equity." —  Melenese Sivells, EdD, Professor of Education, Northampton Community College "This book powerfully demonstrates how community college leaders can harness AI to drive innovation while keeping equity at the center of decision-making. It is an essential guide for faculty and program directors preparing students—and institutions—for the future of higher education." —  Huong Nguyen, EdD, Program Director, Montgomery College   “As a community college administrator, I found this book an invaluable guide that bridges innovation with access, showing how AI can be leveraged to enhance equity, efficiency, and student achievement.” — Lesley Shotts, EdD, Dean of Institutional Effectiveness, Grants, and Research / Title III Administrator / Accreditation Liaison, Drake State Community & Technical College

Handbook of Higher Education, Volume 6: AI, Automation & Decision Intelligence

By 
Mustafa Kayyali
, 
Shaista Ashraf Farooqi
, 
Njodzi Ranganai
, 
Lemias Zivanai
, 
Mergen Dyussenov
, 
Ha Jin Hwang
, 
Brad Garner
, 
Sneha Lata
, 
Moses Adeleke Adeoye
, 
Kanupriya Goswami
, 
Arpana Sharma
, 
Vinita Jindal
, 
Marubini Christinah Sadiki
, 
Hakikur Rahman
, 
Pranay Pandey
, 
Pritilaxmi Swain
Series : 6
Publisher : STAR SCHOLARS PRESS
Published : August 9, 2026
DOI: https://doi.org/10.32674/kwbpw840
This volume examines how artificial intelligence, automation, blockchain, and data-informed governance are changing decision-making in higher education. Ten chapters move from academic credentials and learning records to educator roles in open and distance learning, university digital transformation strategies, faculty capability development, smart teaching governance, AI-supported teaching tools, disability inclusion, and digital-age policy. Contributions from multiple national and institutional contexts combine conceptual analysis, case comparison, technical architectures, and practical institutional recommendations. A central concern is how universities can use intelligent systems to improve efficiency, trust, access, and responsiveness while preserving professional judgment, transparency, privacy, and human responsibility. The volume treats faculty development and inclusion as essential parts of technological transformation rather than secondary implementation issues. Intended for researchers, university leaders, faculty developers, quality assurance professionals, policymakers, IT teams, and graduate students, it argues that decision intelligence becomes educationally valuable only when automation is governed ethically, interpreted critically, and aligned with institutional learning.

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