| dc.contributor.advisor | Pattie Maes. | en_US |
| dc.contributor.author | Hong, Erin | en_US |
| dc.contributor.other | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. | en_US |
| dc.date.accessioned | 2018-12-11T20:39:54Z | |
| dc.date.available | 2018-12-11T20:39:54Z | |
| dc.date.copyright | 2018 | en_US |
| dc.date.issued | 2018 | en_US |
| dc.identifier.uri | http://hdl.handle.net/1721.1/119554 | |
| dc.description | Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018. | en_US |
| dc.description | This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. | en_US |
| dc.description | Cataloged from student-submitted PDF version of thesis. | en_US |
| dc.description | Includes bibliographical references (pages 89-90). | en_US |
| dc.description.abstract | With the advent of virtual reality (VR) technology, education and learning applications are able to leverage the fully immersive medium to create more hands-on, sophisticated, and engaging interactions. Alongside efforts to build virtual learning environments, note-taking can be reimagined in a virtual space where visual and auditory experiences can be captured and re-experienced. We classify phases as well as affordances of note-taking enabled self-regulated learning to be content capture, review, and modification. We present a first-principles analysis to identify design requirements for virtual note-taking that satisfy the three key functions of note-taking. We will discuss our approach to overcoming technical and design challenges as I detail the implementation of a standalone note-taking module, MemoryTree. | en_US |
| dc.description.statementofresponsibility | by Erin Hong. | en_US |
| dc.format.extent | 90 pages | en_US |
| dc.language.iso | eng | en_US |
| dc.publisher | Massachusetts Institute of Technology | en_US |
| dc.rights | MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. | en_US |
| dc.rights.uri | http://dspace.mit.edu/handle/1721.1/7582 | en_US |
| dc.subject | Electrical Engineering and Computer Science. | en_US |
| dc.title | Building note-taking tools to support learning in virtual reality | en_US |
| dc.type | Thesis | en_US |
| dc.description.degree | M. Eng. | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | |
| dc.identifier.oclc | 1076273597 | en_US |
