NLU Scholarship & Thought Leadership Annual Report 2026

LEADING TODAY

NLU also continued to invest internally in AI research through its Scholarship of Teaching and Learning (SoTL) Fellowships , which support faculty in systematically studying innovations in their own classrooms. AI-focused fellowship teams investigated how generative AI can strengthen culturally responsive teacher preparation, support doctoral students in instructional and research design, and enhance student learning while maintaining rigorous academic expectations. Faculty scholarship throughout the year reflected both the breadth and depth of NLU’s engagement with AI, with over 50 publications and presentations. Dr. Angela Elkordy, National College of Education, presented nationally and internationally on AI-powered pedagogy, practical classroom applications of generative AI, and innovative approaches to teacher preparation, while Dr. Stephen Curda, National College of Education, examined faculty-driven AI integration in higher education. Dr. David San Filippo, Graduate School of Business and Leadership, presented on AI in higher education, extending NLU’s thought leadership to adult education audiences. Amy Hall and Sarah Leeman , University Library, published on leveraging librarian expertise to support faculty development in using AI and presented extensively on AI literacy and preparedness. Dr. Theodore Barnes, Undergraduate College, presented on ethics and agency in AI use. Dr. Neal Green, Undergraduate College, produced practice guides and professional development for early childhood leaders on responsible AI implementation, and Dr. Roy Kaelin, Undergraduate College, presented on bot use in college-level science teaching. Dr. Xue Han , College of Education, presented on using lesson planning to develop AI literacy in pre- service teachers. Dr. David Ross, Graduate School of Business and Leadership, presented results from an SoTL project on using generative AI tools to increase student academic writing outcomes. These examples represent only a portion of NLU’s current thought leadership on AI. Collectively, the publications and presentations on AI this year alone demonstrated that NLU faculty are building an interdisciplinary body of evidence that addresses an essential question: How can artificial intelligence be designed and used to strengthen teaching, learning, and educational equity?

Dr. Angela Elkordy presenting at ICPEL Conference.

Dr. Roy Kaelin speaking on AI use.

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