TY - JOUR
T1 - Improving student accessibility, equity, course performance, and lab skills
T2 - 2020 ASEE Virtual Annual Conference, ASEE 2020
AU - Angrave, Lawrence
AU - Jensen, Karin
AU - Zhang, Zhilin
AU - Mahipal, Chirantan
AU - Mussulman, David
AU - Schmitz, Christopher D.
AU - Baird, Robert Thomas
AU - Liu, Hongye
AU - Sui, Ruihua
AU - Wu, Maryalice S.
AU - Kooper, Rob
N1 - Funding Information:
We also wish to acknowledge UIUC IT staff, NCSA, the College of Engineering, current and former undergraduate and graduate students, Director Digital Media, John Tubbs, and Prof. Hasegawa-Johnson, who have contributed to the development, support and direction of the ClassTranscribe project. We thank the UIUC IRB review board, and the CITL Data Analytics Group for their input and support. The research reported here was supported by an Microsoft Corporation gift to the University of Illinois as part of the 2019 and 2020 Lighthouse Accessibility Microsoft-Illinois partnership, an award from Center for Innovative Teaching and Learning, and the Institute of Education Sciences, U.S. Department of Education through Grant R305A180211 to the Board of Trustees of the University of Illinois. The opinions expressed are those of the authors and do not represent views of the Institute or the U.S. Department of Education.
Funding Information:
The research reported here was supported by an Microsoft Corporation gift to the University of Illinois as part of the 2019 and 2020 Lighthouse Accessibility Microsoft-Illinois partnership, an award from Center for Innovative Teaching and Learning, and the Institute of Education Sciences, U.S. Department of Education through Grant R305A180211 to the Board of Trustees of the University of Illinois. The opinions expressed are those of the authors and do not represent views of the Institute or the U.S. Department of Education.
Funding Information:
Karin Jensen, Ph.D. is a Teaching Assistant Professor in bioengineering at the University of Illinois at Urbana-Champaign. Her research interests include student mental health and wellness, engineering student career pathways, and engagement of engineering faculty in engineering education research. She was awarded a CAREER award from the National Science Foundation for her research on undergraduate mental health in engineering programs. Before joining UIUC she completed a post-doctoral fellowship at Sanofi Oncology in Cambridge, MA. She earned a bachelor’s degree in biological engineering from Cornell University and a Ph.D. in biomedical engineering from the University of Virginia.
Publisher Copyright:
© American Society for Engineering Education 2020.
PY - 2020/6/22
Y1 - 2020/6/22
N2 - This paper presents three case studies that examined the use of ClassTranscribe in a diverse set of undergraduate engineering classes in 2019 and 2020 at the University of Illinois at Urbana-Champaign. ClassTranscribe, a video viewing system designed with accessibility and learning in mind, was first presented to the ASEE community in 2019 [1]. The pedagogical features of the tool include: pause, leave and resume viewing; captions available in multiple languages; downloadable transcriptions; shareable links to video moments; and searchable content within each video and across an entire course. The importance of the tool in the context of a commitment to accessibility for engineering education is discussed. In addition, online video content that follows Universal Design for Learning principles enables all students to prepare for assessments and provides more equitable learning opportunities. Low-stress online learning opportunities may be particularly valuable for underrepresented minorities (e.g., [2] explored relative student improvement in multiple exams assessments in an online course with video lectures). The first study presented here describes two extremes: a supplemental-resource approach and primary-resource approach in the adoption of ClassTranscribe into an Electrical and Computer Engineering (ECE) and Computer Science (CS) course, respectively. In Spring 2020, ECE students used the tool as a supplemental learning resource to review and search live lecture captures. Whereas in the sophomore CS course (N=271 students), physical lectures were canceled and ClassTranscribe was used as a primary learning resource using short-length (<10 minute) videos. The methodology and analysis of the CS course outcomes were described in [3] but relevant findings are reproduced here: Students in the lowest quartile improved by 3.3 percentile points compared to previous semesters and statistically-significant positive learning outcomes were found at all levels of student performance. Each quartile of students who used the tool an above average amount of time led to increased final exam scores, with the lowest quartile increasing 14.4 absolute points compared to their in-quartile peers. A new contribution of this paper is an analysis of the interactions with the tool, which found three event types: Fullscreen-viewing, Change-playback-speed and Search-Transcription predicted improved exam performance and were statistically significant (p<0.01). In the second case study, video instruction was used to present safety and lab-handling techniques in a Bioengineering class prior to rigorous lab assessment. The student-specific analytic data available to the course instructor using the web interface allowed the instructor to check that each student had completed training materials prior to lab work. Student surveys measured several factors including the utility of the tool and students' preferences in video systems and video-based Bioengineering instruction. In the third case study, student feedback from CS and ECE courses were solicited on learning utility and digital accessibility. The majority of the 206 responses reported high utility ('moderately useful or greater) of the tool when working on assignments (67%) and preparing for an exam (77%). The majority of respondents (96%, n=239) recommended the tool be re-used in future semesters of their course. We present example survey questions that respect student choice to not-self disclose a disability.
AB - This paper presents three case studies that examined the use of ClassTranscribe in a diverse set of undergraduate engineering classes in 2019 and 2020 at the University of Illinois at Urbana-Champaign. ClassTranscribe, a video viewing system designed with accessibility and learning in mind, was first presented to the ASEE community in 2019 [1]. The pedagogical features of the tool include: pause, leave and resume viewing; captions available in multiple languages; downloadable transcriptions; shareable links to video moments; and searchable content within each video and across an entire course. The importance of the tool in the context of a commitment to accessibility for engineering education is discussed. In addition, online video content that follows Universal Design for Learning principles enables all students to prepare for assessments and provides more equitable learning opportunities. Low-stress online learning opportunities may be particularly valuable for underrepresented minorities (e.g., [2] explored relative student improvement in multiple exams assessments in an online course with video lectures). The first study presented here describes two extremes: a supplemental-resource approach and primary-resource approach in the adoption of ClassTranscribe into an Electrical and Computer Engineering (ECE) and Computer Science (CS) course, respectively. In Spring 2020, ECE students used the tool as a supplemental learning resource to review and search live lecture captures. Whereas in the sophomore CS course (N=271 students), physical lectures were canceled and ClassTranscribe was used as a primary learning resource using short-length (<10 minute) videos. The methodology and analysis of the CS course outcomes were described in [3] but relevant findings are reproduced here: Students in the lowest quartile improved by 3.3 percentile points compared to previous semesters and statistically-significant positive learning outcomes were found at all levels of student performance. Each quartile of students who used the tool an above average amount of time led to increased final exam scores, with the lowest quartile increasing 14.4 absolute points compared to their in-quartile peers. A new contribution of this paper is an analysis of the interactions with the tool, which found three event types: Fullscreen-viewing, Change-playback-speed and Search-Transcription predicted improved exam performance and were statistically significant (p<0.01). In the second case study, video instruction was used to present safety and lab-handling techniques in a Bioengineering class prior to rigorous lab assessment. The student-specific analytic data available to the course instructor using the web interface allowed the instructor to check that each student had completed training materials prior to lab work. Student surveys measured several factors including the utility of the tool and students' preferences in video systems and video-based Bioengineering instruction. In the third case study, student feedback from CS and ECE courses were solicited on learning utility and digital accessibility. The majority of the 206 responses reported high utility ('moderately useful or greater) of the tool when working on assignments (67%) and preparing for an exam (77%). The majority of respondents (96%, n=239) recommended the tool be re-used in future semesters of their course. We present example survey questions that respect student choice to not-self disclose a disability.
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UR - http://www.scopus.com/inward/citedby.url?scp=85095738319&partnerID=8YFLogxK
U2 - 10.18260/1-2--34796
DO - 10.18260/1-2--34796
M3 - Conference article
AN - SCOPUS:85095738319
SN - 2153-5965
VL - 2020-June
JO - ASEE Annual Conference and Exposition, Conference Proceedings
JF - ASEE Annual Conference and Exposition, Conference Proceedings
M1 - 839
Y2 - 22 June 2020 through 26 June 2020
ER -