Nota Bene V2 - Understanding and Implementing Methods for Synchronous and Collaborative Learning
Name
Li-li_helen-meng-eecs-2021-thesis.pdf
Description
Thesis PDF
Size
4.03 MB
Format
Adobe PDF
Checksum (MD5)
36e7ddf6a78eded6d48c5c5a2ed90085
Author(s)
Li, Helen
Advisor(s)
Karger, David R.
Date Issued
June 2021
Publisher
Massachusetts Institute of Technology
Abstract
Students have always been encouraged to learn collaboratively as a means of learning from their peers in order to ask questions, build relationships, and receive feedback. Nota Bene (NB) is an online learning and annotation tool that allows students in a course to annotate web documents to foster online discussions. With the current version of NB that relies only on asynchronous annotations, we have decided to add synchronous features to the tool. After initial user research, we implemented various features, such as notifications and chat-like features, to help keep students engaged when learning online. Afterward, we ran a user study experiment to understand the user engagement and usability aspects of our project, and how those metrics compare between the original NB and the NB with synchronous features.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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