{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/145012"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/145012","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"Scalable methods for navigating large annotation collections in NB","abstract":"NB is an online tool where students can annotate readings and lecture notes, while also discussing with other classmates and instructors. Currently, classes that are using NB have hundreds of students, which results in thousands of annotations per document. After discussing with users of NB, and looking at other platforms, we found methods for students to navigate through the large collections of annotations. These methods include having statistics for each document, the ability to endorse a comment, follow authors, and minimize the number of comments on a document. Once these features were implemented, we studied their impact on NB by collecting user engagement data and feedback.","abstract_html":"NB is an online tool where students can annotate readings and lecture notes, while also discussing with other classmates and instructors. Currently, classes that are using NB have hundreds of students, which results in thousands of annotations per document. After discussing with users of NB, and looking at other platforms, we found methods for students to navigate through the large collections of annotations. These methods include having statistics for each document, the ability to endorse a comment, follow authors, and minimize the number of comments on a document. Once these features were implemented, we studied their impact on NB by collecting user engagement data and feedback.","abstract_has_math":false,"creators":["Schoen, Alizee"],"institution":"Massachusetts Institute of Technology","degree_name":"Master","degree_level":null,"degree_discipline":null,"degree_department":"Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science","school":null,"contributors":[],"advisors":["Karger, David"],"committee_chairs":[],"committee_members":[],"year":2022,"date_issued":"2022-05","date_published":"2022-05","updated_at":"2026-07-22T22:22:22Z","subjects":[],"languages":[],"rights":["In Copyright - Educational Use Permitted","Copyright MIT"],"rights_urls":["http://rightsstatements.org/page/InC-EDU/1.0/"],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/1721.1/145012","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Karger, David"]},{"key":"dc:contributor.department","label":"Department","values":["Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science"]},{"key":"dc:creator","label":"Author","values":["Schoen, Alizee"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2022-08-29T16:27:11Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2022-08-29T16:27:11Z"]},{"key":"dc:date.issued","label":"Date","values":["2022-05"]},{"key":"dc:publisher","label":"Institution","values":["Massachusetts Institute of Technology"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master","Master of Engineering in Electrical Engineering and Computer Science"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:rights","label":"Dc Rights","values":["In Copyright - Educational Use Permitted","Copyright MIT"]},{"key":"dc:rights.uri","label":"Rights URI","values":["http://rightsstatements.org/page/InC-EDU/1.0/"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/1721.1/145012"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["NB is an online tool where students can annotate readings and lecture notes, while also discussing with other classmates and instructors. Currently, classes that are using NB have hundreds of students, which results in thousands of annotations per document. After discussing with users of NB, and looking at other platforms, we found methods for students to navigate through the large collections of annotations. These methods include having statistics for each document, the ability to endorse a comment, follow authors, and minimize the number of comments on a document. Once these features were implemented, we studied their impact on NB by collecting user engagement data and feedback."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["M.Eng."]},{"key":"dc:title","label":"Title","values":["Scalable methods for navigating large annotation collections in NB"]}]}],"canonical_facts":{"dc:contributor.advisor":["Karger, David"],"dc:contributor.department":["Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science"],"dc:creator":["Schoen, Alizee"],"dc:date.accessioned":["2022-08-29T16:27:11Z"],"dc:date.available":["2022-08-29T16:27:11Z"],"dc:date.issued":["2022-05"],"dc:description.abstract":["NB is an online tool where students can annotate readings and lecture notes, while also discussing with other classmates and instructors. Currently, classes that are using NB have hundreds of students, which results in thousands of annotations per document. After discussing with users of NB, and looking at other platforms, we found methods for students to navigate through the large collections of annotations. These methods include having statistics for each document, the ability to endorse a comment, follow authors, and minimize the number of comments on a document. Once these features were implemented, we studied their impact on NB by collecting user engagement data and feedback."],"dc:description.degree":["M.Eng."],"dc:identifier.uri":["https://hdl.handle.net/1721.1/145012"],"dc:publisher":["Massachusetts Institute of Technology"],"dc:rights":["In Copyright - Educational Use Permitted","Copyright MIT"],"dc:rights.uri":["http://rightsstatements.org/page/InC-EDU/1.0/"],"dc:title":["Scalable methods for navigating large annotation collections in NB"],"dc:type":["Thesis"],"thesis:degree_name":["Master","Master of Engineering in Electrical Engineering and Computer Science"]},"updated_at":"2026-07-22T22:22:22Z"}