School of Information Sciences

iSchool instructors ranked as excellent

Fifty-four iSchool instructors were named in the University's List of Teachers Ranked as Excellent for Spring 2024. The rankings are released every semester, and results are based on the Instructor and Course Evaluation System (ICES) questionnaire forms maintained by Measurement and Evaluation in the Center for Innovation in Teaching and Learning. Only those instructors who gave out ICES forms during the semester and who released their data for publication are included in the list.

Faculty and instructors appearing on the list include Rachel Adler, Suzan Alteri, Barbara Alvarez, Anne Barnhart, Sara Benson, Stephanie Besser, Dawn Betts-Green, Maria Bonn, Nigel Bosch, Bobby Bothmann, Ian Brooks, David Charles, Sharon Comstock, Ryan Cordell, Lily Denehy, Linda Diekman, J. Stephen Downie, Karen Egan, Quinn Morgan Ferris, Jeanne Holba-Puacz, Xinhui Hu, Jimi Jones, Halil Kilicoglu, Matthew Kollmer, Kathryn La Barre, Lee Lindsey, Morgan Lundy, Thomas MacMullen, Kristen Mattson, Mark McCallon, Christy Moss, David Mussulman, Jarrett Newman, Judith Pintar, Bethany Radcliffe, Betsaida Reyes, Colin Rhinesmith, Adam Rusch, Dominic Saebeler, Melissa Salrin, JooYoung Seo, Yoo-Seong Song, Zachary Stier, Jennifer Hain Teper, Carol Tilley, Kevin Trainor, Matthew Turk, Ted Underwood, Travis Wagner, Dong Wang, John Weible, Martin Wolske, Melissa Wong, and Yang Zhang.

Alvarez, Comstock, Diekman, Ferris, Kollmer, La Barre, Mattson, Saebeler, Teper, Underwood, and Wong received the highest ranking of "outstanding."

Updated on
Backto the news archive

Related News

Ma receives NSF CAREER award

Assistant Professor Jiaqi Ma has received a National Science Foundation (NSF) CAREER award to develop new tools to understand how individual components of training data affect the behavior of large artificial intelligence systems. 

Jiaqi Ma

NSF backs new effort to secure scientific AI

As artificial intelligence becomes central to scientific discovery, researchers face a growing but often overlooked risk: the AI models, datasets, and automated systems they depend on can be compromised in ways that conventional cybersecurity tools are not designed to detect.

Anita Nikolich

Wang invited to join CRA Emerging Leaders Cohort

Professor and Associate Dean for Research Dong Wang has been invited to join the 2026 Computing Research Association (CRA) Emerging Leaders Cohort. The inaugural cohort will be introduced at the 2026 CRA Summit, which will be held from July 21-23 in Prior Lake, Minnesota. The summit is an exclusive, invitation-only gathering of senior leaders from academia, industry, and government who are shaping the future of computing research.

Dong Wang

School of Information Sciences

501 E. Daniel St.

MC-493

Champaign, IL

61820-6211

Voice: (217) 333-3280

Email: ischool@illinois.edu

Back to top