Peer-reviewed papers


Ding, X., Sun, K., Xiao, Z., Varadhan, S., Li, J., Gersich, N., Agarwal, A., Gopannagari, M., Vogiatzis, C., Dalpiaz, D., Amos, J., Angrave, L., Liu, H. “Evaluating the low-stakes assessment performance, student perceived accessibility, belongingness, and self-efficacy in connection to the use of digital notes in engineering and computing courses” ASEE Conference 2023. [pdf]

Varadhan, S., Ding, X., Zhao, D., Agarwal, A., Dalpiaz, D., Vogiatzis, C., Huang, Y., Angrave, L., Liu, H. “Opportunities and Barriers to UDL-based Course Designs for Inclusive Learning in Undergraduate Engineering and other STEM courses” ASEE Conference 2023. [pdf]

Jiaxi Li, Ninghan Zhong, Rob Kooper, Lawrence Angrave (2023). “System Design, Evaluation and Applications of Domain Term Extraction from Engineering Videos” ASEE IL-IN Regional Conference 2023. [Proceedings pdf]

Uche Uche-Ike, Lawrence Angrave (2023) “Improving Access to Engineering Education: Unlocking text and table data in images and videos” 2023 ASEE IL-IN Regional Conference. [Proceedings pdf]

Jiaxi Li, Sujit Varadhan, Aarya Bhatia, Yijun Lin, Colin P. Lualdi, Rob Kooper, Lawrence Angrave (2023) “The Inclusive Glossary: An Embedded, Interactive Approach to Accessible and Inclusive Learning” ASEE Conference 2023. [pdf]

Yun Wang, Colin P. Lualdi, Lawrence Angrave (2023) “Using Deep Learning and Augmented Reality to Improve Accessibility: Inclusive Conversations using Diarization, Captions, and Visualization” ASEE Conference 2023. [pdf]


Liu, H., Angrave, L., Amos, J., Dalpiaz, D., Vogiatzis, C., Xiao, Z.Y., Varadhan, S., Louie J. (2022) “A Digital Book-Based Pedagogy to Improve Course Content Accessibility for Students with and without Disabilities in Engineering and other STEM courses (WIP)” Proceedings of the ASEE Conference 2022. Best DEI paper award in NEE session [pdf]

Liu, H., Moparthi, D., Dalpiaz, D., Amos, J., Angrave, L., Vogiatzis, C., Reck, R., Varadhan, S., Huang Y. (2022) “Understanding the needs of students with and without disabilities for inclusive UDL-based design of Engineering courses through learning management systems” Proceedings of the ASEE Conference 2022 . [pdf]

Angrave, L., & Li, J., & Zhong, N. (2022, August), “Creating TikToks, Memes, Accessible Content, and Books from Engineering Videos? First Solve the Scene Detection Problem” Paper presented at 2022 ASEE Annual Conference & Exposition, Minneapolis, MN. [pdf]


Amos, J.R., Zhang, Z., Angrave, L., Liu, H., Shen, Y. , Vawani, K. (2021) “A UDL-based large-scale study on the needs of students with disabilities in engineering courses” Proceedings of the ASEE Conference, Long Beach CA, July, 202. Best DEI paper(2nd place), Best paper (3rd place) in NEE division. [pdf]

Amos J.R., Liu H., Zhang Z., Angrave L. (2021) “Qualitative Analysis of college students’ perception of multiple representations and modalities in courses” Paper presented at 2021 ASEE Illinois-Indiana Regional Conference [pdf]

Zhang Z., Sui R., Angrave L., Mahipal C., Kooper R., Bhavya B., Huang Y. (2021) “How Students Search Video Captions to Learn: An Analysis of Search Terms and Behavioral Timing Data” Paper presented 2021 ASEE Conference. [pdf]

Jawad M., Javid T., Lualdi C., Angrave L. (2021) “ScribeAR: Design and Use of Augmented-Reality Captioning for Inclusive Education Access” Paper presented at ASEE-IL-IN Conference, Urbana, May 2021. [pdf]


Angrave L., Jensen K., Zhang Z., Mahipal C., Mussulman M., Schmitz C., Baird R., Liu H., Sui R., Wu M., Kooper R. 2020 “Improving Student Accessibility, Equity, Course Performance, and Lab Skills: How Introduction of ClassTranscribe Is Changing Engineering Education at the University of Illinois” In Proceedings of ASEE Annual Virtual Conference 2020. ASEE. [pdf]

Angrave L., Zhang Z., Henricks G., Mahipal C. 2020. “Who Benefits?: Positive Learner Outcomes from Behavioral Analytics of Online Lecture Video Viewing Using ClassTranscribe” SIGCSE 2020. [pdf]


Mahipal, C., & Angrave, L., & Xie, Y., & Chatterjee, B., & Wang, H., & Qian, Z. (2019, June), “What did I just miss?!” Presenting ClassTranscribe, an Automated Live-captioning and Text-searchable Lecture Video System, and Related Pedagogical Best Practices Paper presented at 2019 ASEE Annual Conference & Exposition , Tampa, Florida. 10.18260/1-2–31926 [pdf]


Jiaxi Li (2023) “Image and Text Analytic Systems for Accessible Online Learning” Masters Thesis, University of Illinois Urbana-Champaign [pdf]

Zhilin Zhang, (2021) “Attitudes, Behaviors, and Learning Outcomes from Using ClassTranscribe, a UDL-featured Video-based Online Learning Platform With Learnersourced Text-Searchable Captions” Masters Thesis, University of Illinois Urbana-Champaign [online] [pdf]

Chirantan Mahipal, (2020) “Design, Implementation and Effectiveness of ClassTranscribe” Masters Thesis, University of Illinois Urbana-Champaign [online] [pdf]