Human-Computer Interaction; Social Computing; Human-Centered AI; Learning Technologies
My research interests are in Human-Computer Interaction and Education, with a focus on studying how people interact with Artificial Intelligence (AI) systems, investigating societal issues such as misinformation, bias, privacy concerns caused by AI, and designing new technologies and mechanisms to address these problems. I am motivated to provide people with a more informed, fair, secure, accessible, satisfying, and engaging experience when interacting with AI systems.
Currently, I am leading several projects to explore students’ attitudes and behaviors towards searching and learner sourcing in online education, and building an interactive intelligent educational system that can “teach.”
Please feel free to contact me at:
[12/2020]: A NEW PAPER ACCEPTED AT CHI 2021
Our paper "Attitudes Surrounding an Imperfect AI Autograder" was accepted by CHI 2021. Congratulations to all my amazing collaborators!
[09/2020]: BEST PAPER HONORABLE MENTION AT ASEE 2020
Our ASEE 2020 paper "Improving Student Accessibility, Equity, Course Performance, and Lab Skills: How Introduction of ClassTranscribe is Changing Engineering Education" has won the "Best Diversity, Equity & Inclusion Paper Honorable Mention". Congratulations to all my wonderful co-authors!
[08/2020]: BECAME A TEACHING ASSISTANT FOR CS410
I started to work as a Teaching Assistant for CS410: Text Information Systems (Text Retrieval and Mining), with Professor ChengXiang Zhai.
[08/2020]: A LIGHTNING TALK ACCEPTED AT CRA 2020
I gave a lightning talk "ClassTranscribe: Addressing the COVID Challenge and Promoting Better Equity in Education" at CRA 2020.
[05/2020]: UPGRADED FROM BS TO MS
I finished my BS (with thesis) in Computer Science at UIUC. I will continue to spend one year on MS (with thesis) in Computer Science at UIUC (expected graduation: 08/2021).
(* = Equal Contribution)
(On students’ searching behaviors in online video-based learning)
In Submission at ASEE 2021
Zhilin Zhang, Ruihua Sui, Chirantan Mahipal, Karrie Karahalios, Yun Huang, Rob Kooper, Lawrence Angrave
(On students’ attitudes and behaviors towards a UDL-based e-learning tool)
In Submission at SIGCSE 2021
Zhilin Zhang, Lawrence Angrave, Patrick Lin, Ian Ludden
(On surveying the needs of students with disabilities in engineering courses)
In Submission at ASEE 2021
Zhilin Zhang*, Jenny Amos*, Lawrence Angrave*, Hongye Liu*, Kusum Vanwani*
(On a friend-sourcing approach to aid people with visual impairments)
In Submission at CSCW 2021
Zhuohao Zhang, Zhilin Zhang, Haolin Yuan, Natã Barbosa, Sauvik Das, Yang Wang
Attitudes Surrounding an Imperfect AI Autograder
Accepted by CHI 2021 - Full Paper [preprint by request]
Silas Hsu*, Tiffany Wenting Li*, Zhilin Zhang, Max Fowler, Craig Zilles, Karrie Karahalios
Improving Student Accessibility, Equity, Course Performance, and Lab Skills: How Introduction of ClassTranscribe is Changing Engineering Education
ASEE 2020 - Full Paper [pdf]
Lawrence Angrave, Karin Jensen, Zhilin Zhang, Chirantan Mahipal, David Mussulman, Christopher Schmitz, Robert Baird, Hongye Liu, Ruihua Sui, Maryalice Wu, and Rob Kooper
Who Benefits? Positive Learner Outcomes from Behavioral Analytics of Online Lecture Video Viewing using ClassTranscribe
SIGCSE 2020 - Full Paper [pdf]
Lawrence Angrave, Zhilin Zhang, Genevieve Henricks-Lepp, Chirantan Mahipal
What Benefits? Exploring the Influences of Student Behaviors in an Online Video Class
UIUC - Undergraduate Senior Thesis
ClassTranscribe: Addressing the COVID Challenge and Promoting Better Equity in Education
CRA 2020 - Lightning Talk [video]
Zhilin Zhang, Lawrence Angrave
Honors & Awards
Best Diversity, Equity & Inclusion Paper Honorable Mention
American Society for Engineering Education
TAU BETA PI
the National Engineering Honor Society
Grainger College of Engineering, UIUC
I am now actively applying for Ph.D. programs. Please feel free to contact me if you are interested in knowing more about me!