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A UDL-Based Large-Scale Study on the Needs of Students with Disabilities in Engineering Courses

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Conference

2021 ASEE Virtual Annual Conference Content Access

Location

Virtual Conference

Publication Date

July 26, 2021

Start Date

July 26, 2021

End Date

July 19, 2022

Conference Session

Working Together: Approaches to Inclusivity and Interdisciplinarity

Tagged Division

New Engineering Educators

Tagged Topic

Diversity

Page Count

21

DOI

10.18260/1-2--36627

Permanent URL

https://peer.asee.org/36627

Download Count

32

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Paper Authors

biography

Jennifer R. Amos University of Illinois at Urbana - Champaign

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Dr Amos joined the Bioengineering Department at the University of Illinois in 2009 and is currently a Teaching Associate Professor in Bioengineering and an Adjunct Associate Professor in Educational Psychology. She received her B.S. in Chemical Engineering at Texas Tech and Ph.D. in Chemical Engineering from University of South Carolina. She completed a Fulbright Program at Ecole Centrale de Lille in France to benchmark and help create a new hybrid masters program combining medicine and engineering and also has led multiple curricular initiative in Bioengineering and the College of Engineering on several NSF funded projects.

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biography

Zhilin Zhang University of Illinois at Urbana - Champaign

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Zhilin Zhang is a 5-year BS-MS student in Computer Science at the University of Illinois at Urbana-Champaign (UIUC), co-advised by Professor Lawrence Angrave and Professor Karrie Karahalios. His research interests are in Human-Computer Interaction and Learning Sciences. He studies, designs, and builds intelligent systems to support scalable and accessible teaching and learning through a computational lens.

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Lawrence Angrave University of Illinois at Urbana - Champaign Orcid 16x16 orcid.org/0000-0001-9762-7181

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Lawrence Angrave is an award winning Fellow and Teaching Professor at the department of computer science at the University of Illinois at Urbana-Champaign (UIUC). His interests include (but are not limited to) joyful teaching, empirically-sound educational research, campus and online courses, computer science, engaging underrepresented students, improving accessibility and creating novel methods that encourage new learning opportunities and foster vibrant learning communities.

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biography

Hongye Liu University of Illinois at Urbana - Champaign

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Hongye Liu joined the Illinois Department of Computer Science after years of research experience in Biomedical informatics primarily in the Boston Longwood Medical area including Harvard Medical School and its affiliated hospitals. She received her B. E. in Precision Machinery and Instrumentation from the Univ of Science and Technology of China and her PhD from MIT in the area of computer aided design for 3-D Printing. Dr. Liu was driven by the interest of helping cure diseases and have done research in diverse Data Science related areas such as Bioinformatics, Computational Biology, Biostatistics, and Machine learning.

Over a 4-year period of encountering/interacting with students, reviewing academic works and college teaching, she discovered her passion for teaching undergraduate students and training next generation of computer scientists and data-centered professionals.
She is compassionate about helping undergraduate students do research and mentoring underrepresented students. Her research interests are Biomedical applications that involve large high dimensional data analysis and machine learning and data-driven education improvement for underrepresented students.

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Yiyin Shen

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Abstract

Abstract

Among all college students, students with disabilities are particularly at risk due to a high percentage of underreporting. We conducted a survey across many undergraduate courses in engineering and computing at the University of Illinois to identify course components that engage students with and without disabilities. We were motivated to find not only opportunities for future course improvements for all students but also greater equity for students with disabilities. Therefore in the survey, we asked for both students’ disability and demographics info and their usability and satisfaction with more than ten types of course modalities including live Zoom lectures, recordings of lectures, small group discussions, instructor notes, transcripts of lecture videos, discussion boards, etc. The study spanned 13 different departments with a total enrollment of 1800 students during Fall 2020 and Spring 2021. Preliminary results from 303 responses from 49 different courses showed that students with disabilities preferred recorded lectures videos with transcripts, course textbook and instructor notes/slides that they could engage with offline, while students without disabilities were more satisfied with office hours and lecture videos in addition to lecture notes. In addition, female students appeared to be less satisfied with instructor Powerpoint slides, live Zoom lectures and discussion/lab sessions than male students. These results demonstrated the importance of multiple resources, supporting Universal Design Principles.

Amos, J. R., & Zhang, Z., & Angrave, L., & Liu, H., & Shen, Y. (2021, July), A UDL-Based Large-Scale Study on the Needs of Students with Disabilities in Engineering Courses Paper presented at 2021 ASEE Virtual Annual Conference Content Access, Virtual Conference. 10.18260/1-2--36627

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