{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/66706"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/66706","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"An adaptive user interface for open educational content","abstract":"For my Masters of Engineering thesis project, I have developed a framework of meta- data around open educational resources that are used by students to master a given concept. Based on the assumption that a course can be broken down into specfic concepts and that there are several resources available to students both on sites such as OpenCourseWare and also peer-managed resources like Wikipedia, I develop a model for \"relevance\" of a resource to the learning of a given concept, where relevance is defined by assignment to a concept by a teacher as well as usage data from students viewing the resources. I combine both active feedback (clicking a \"like\" button) and passive feedback (view duration and count across all users) to score each resource for a given concept. This score is then used to create an adaptive user interface that indicates which resources may be the most relevant for students learning a given concept based on their peers' feedback. In addition to designing this framework, I provide an implementation of the adaptive user interface on Apple's iPad device, and I provide an evaluation of the educational benefits of this adaptive interface by designing and executing a controlled user study on students in MIT's introductory physics course.","abstract_html":"For my Masters of Engineering thesis project, I have developed a framework of meta- data around open educational resources that are used by students to master a given concept. Based on the assumption that a course can be broken down into specfic concepts and that there are several resources available to students both on sites such as OpenCourseWare and also peer-managed resources like Wikipedia, I develop a model for "relevance" of a resource to the learning of a given concept, where relevance is defined by assignment to a concept by a teacher as well as usage data from students viewing the resources. I combine both active feedback (clicking a "like" button) and passive feedback (view duration and count across all users) to score each resource for a given concept. This score is then used to create an adaptive user interface that indicates which resources may be the most relevant for students learning a given concept based on their peers' feedback. In addition to designing this framework, I provide an implementation of the adaptive user interface on Apple's iPad device, and I provide an evaluation of the educational benefits of this adaptive interface by designing and executing a controlled user study on students in MIT's introductory physics course.","abstract_has_math":false,"creators":["Umapathy, Vijay"],"institution":"Massachusetts Institute of Technology","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":"Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.","school":null,"contributors":[],"advisors":["Eric Klopfer."],"committee_chairs":[],"committee_members":[],"year":2011,"date_issued":"2011","date_published":"2011","updated_at":"2026-07-22T22:22:05Z","subjects":["Electrical Engineering and Computer Science."],"languages":["eng"],"rights":["M.I.T. theses are protected by copyright. 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