This week, we discuss the need and practical challenges of tracking and assessing student assignments when generative AI is an approved tool. What reliable strategies can we use to see and evaluate students’ processes without increasing our workload?

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Resources: ChatGPT | AI LABS | School AI

Dr. Caroline Fell Kurban is the advisor to the Rector at MEF University. Caroline previously was Director of the Center of Research and Best Practices for Learning and Teaching (CELT) at MEF University. She also teaches in the Faculty of Education. She has taught, trained, and managed in schools and universities in her twenty-year career. She holds a BSc in Geology, an MSc in TESOL, an MA in Technology and Learning Design, and a PhD in Applied Linguistics.

Juli Ross-Kleinmann is an experienced Administrator/ Instructional Specialist who has worked in primary, secondary, and higher education and is skilled in authentically integrating educational technology, professional development, curriculum planning, instructional design, and organizational leadership. Juli has a Master of Science in Education (Administration & Supervision) focused in Elementary and Middle School Administration/Principalship from Fordham University. She served for three years on the board of ISTE and is an ISTE-certified educator.

Dr. Thomas Mennella has been an instructor in higher education for over ten years. Starting as a lecturer at the University of Massachusetts – Amherst and moving on to an Assistant Professorship at Delaware State University (DSU), Tom is now an Associate Professor at Western New England University in Springfield, Massachusetts.

Dan Jones earned a BS in Middle Grades Education from Ashland University and a Master’s Degree in Curriculum and Instruction from the American College of Education. Dan is an FLGI Master Teacher whose professional interests include e-learning, technology, and Project-Based Learning.

Show Me Your Work: How Can We Assess Students’ AI Supported Assignments?