FDD leadership and membership get together to wrap up the 2026 annual conference and brainstorm ideas and opportunities for 2027.
Dr. Karen High is a professor of engineering and science education at Clemson University (khigh@clemson.edu). She is serving as the Co-PI and mentor for Dr. Vigeant’s RIEF award and has over 34 years of experience in higher education and is an expert in faculty development, mentoring, and graduate student development. Her research integrates engineering, science, and education through Discipline-Based Education Research (DBER), focusing on how people learn, teach, and thrive in STEM. Supported by the National Science Foundation and other partners, her work explores creativity, communication, crit ... (continued)
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For those interested in: Broadening Participation in Engineering and Engineering Technology and New Members
Engineering faculty are often not trained for life as an instructor during graduate school. In this session, we’ll share resources that engineering librarians can provide for the transition to this career phase. Topics include publication support (synthesis, writing, and publishing), Pedagogical support (OER, syllabus consultations, assignment design), and effective outreach practices, especially engaging with preK to 12 audiences.
Ashley is the STEM Librarian for Engineering & Chemistry at the University of Alabama at Birmingham. She enjoys working with students, staff, and faculty to enhance everyone's learning and access to information, for both scholarly and personal pursuits. The Scholarship of Teaching & Learning (SoTL) is a particular passion of hers, which is reflected in her work in co-developing and co-instructing the graduate Technical Communication for Engineers course at UAB.
The rapid rise of generative AI (GAI) tools - such as ChatGPT’s Study Mode, Gemini’s Guided Learning, and Claude’s Learning Mode – and customized presents both opportunities and challenges for education. While these tools promise personalized and adaptive learning, their design may have limited pedagogical grounding, raising critical questions: What learning theories do these systems underpin? What kinds of learners are they
designed to support? This special session will guide participants in critically examining and reimagining GAI-supported learning through theory-informed design. Participants ... (continued)
This special session critically examines the use of GenAI within doctoral training and education.
In addition to expert opinions, it will provide participants the opportunity to contribute to ongoing
discussion on the topic and provide guidance and feedback on what basic guidelines for use of
GenAI within doctoral education should look like. Participation from both students and faculty is
encouraged.
JET Board Meeting