{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/108192"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/108192","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Design, implementation and effectiveness of ClassTranscribe","abstract":"ClassTranscribe is an accessible online video lecture platform designed with the principles of Universal Design for Learning enriched with Closed Captions produced in real-time using Artificial Intelligence and Crowd-Sourcing, and Searchability for efficient student-directed learning. It is an open-source, cross-platform system, built using modern web-technologies with a microservice architecture enabling scaling to thousands of users and sync with popular media sources and other lecture capture systems. An evaluation of event data collected for a large-enrollment system programming course delivered solely using ClassTranscribe revealed that final exam performance was equal or better to semesters that were delivered by traditional physical lectures. When students were divided into four quartiles based on their grades, the analysis revealed that students who recorded more usage of ClassTranscribe performed better than their peers of the same quartile.","abstract_html":"ClassTranscribe is an accessible online video lecture platform designed with the principles of Universal Design for Learning enriched with Closed Captions produced in real-time using Artificial Intelligence and Crowd-Sourcing, and Searchability for efficient student-directed learning. It is an open-source, cross-platform system, built using modern web-technologies with a microservice architecture enabling scaling to thousands of users and sync with popular media sources and other lecture capture systems. An evaluation of event data collected for a large-enrollment system programming course delivered solely using ClassTranscribe revealed that final exam performance was equal or better to semesters that were delivered by traditional physical lectures. When students were divided into four quartiles based on their grades, the analysis revealed that students who recorded more usage of ClassTranscribe performed better than their peers of the same quartile.","abstract_has_math":false,"creators":["Mahipal, Chirantan"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Computer Science","degree_department":null,"school":null,"contributors":["Nahrstedt, Klara","Angrave, Lawrence"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2020,"date_issued":"2020-08-26T23:58:49Z","date_published":"2020-08-26T23:58:49Z","updated_at":"2026-07-22T22:24:47Z","subjects":["Universal Design for Learning, UDL, ClassTranscribe, learning, accessibility, captions, video-search, transcription-search,learning-analytics,behavioral-analytics,student-behavior"],"languages":["en"],"rights":["Copyright 2020 Chirantan Mahipal"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/108192","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Nahrstedt, Klara","Angrave, Lawrence"]},{"key":"dc:creator","label":"Author","values":["Mahipal, Chirantan"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2020-08-26T23:58:49Z","2022-08-26T23:58:55Z","2020-05-13","2020-05"]},{"key":"dc:type","label":"Dc Type","values":["text","Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Computer Science"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Universal Design for Learning, UDL, ClassTranscribe, learning, accessibility, captions, video-search, transcription-search,learning-analytics,behavioral-analytics,student-behavior"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2020 Chirantan Mahipal"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/108192"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["ClassTranscribe is an accessible online video lecture platform designed with the principles of Universal Design for Learning enriched with Closed Captions produced in real-time using Artificial Intelligence and Crowd-Sourcing, and Searchability for efficient student-directed learning. 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