Tampa, Florida
June 15, 2019
June 15, 2019
June 19, 2019
Computers in Education
13
10.18260/1-2--31926
https://peer.asee.org/31926
713
I'm a Computer Science grad student at University of Illinois, Urbana-Champaign, working under the mentorship of Prof. Lawrence Angrave. Prior to this, I was working as a Research Fellow at Microsoft Research in the Technology for Emerging Markets (TEM) group.
Lawrence Angrave is an award winning Teaching Professor at the department of computer science at 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 to create, adapt and enhance learning opportunities and learning communities.
I am a senior Computer Science and Statistics and Mathematics student studying at the University of Illinois at Urbana-Champaign. I really appreciate that I can live in a world where science and technology have been being used to make the world better, and it is my honor that I can get involved in this huge revolution. My belief is to make the world better with the combination of education and computer science.
Currently a undergraduate computer science student at the University of Illinois Urbana-Champaign
Hongyu Wang is currently a CS undergraduate student at the University of Illinois, Urbana-Champaign.
Captioning of recorded video content has been available for over four decades, but its importance and pedagogical use has seen a recent revival due to the legal accessibility compliance requirements of MOOC and online content, and secondly, due to efforts by universities to bring digital accessibility to their on-campus learning environments.
We present an open-source web-platform, ClassTranscribe, and related pedagogical practices, to enhance student learning both during lectures, and during later searching and viewing of recorded lectures. Using recent advances in automated Speech-To-Text (STT) technologies, it is possible to provide low-cost, accurate, and timely, text-searchable recorded lecture videos, and, in-class live-captioning that is informed by domain-specific words. Using a crowd-sourced approach, captions of lecture recordings can be incrementally improved above the limitations of automated STT approaches. The design of the ClassTranscribe platform is extensible and scalable. We demonstrate captioning of content by integrating with two websites used to host lecture videos, youtube.com and echo360.com.
Secondly, we report on suggested technology and practices to support live class captioning for instructors who use PowerPoint, a document camera, live coding, and other presentation styles. Using Universal Design for Learning, we discuss lecture captions and recorded lectures as an assistive technology that can also assist all students. As an example of this, we describe how distractions in lecture and a student’s limited attention span may cause students to lose focus, context ("What did I just miss?!"), and fail to grasp the topic. By providing a live caption history on student devices, students can refocus, reconnect, and thus have an opportunity to learn the current lecture topic being presented.
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
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