Perusall is a social web annotation tool intended for use by students at schools and universities.[1] It allows users to annotate the margins of a text in a virtual group setting that is similar to social media—with upvoting, emojis, chat functionality, and notification. It also includes automatic AI grading.[2]
History
editPerusall began as a research project at Harvard University.[3] It later became an educational product for students and teachers.[4]
As of 2024, Perusall states more than 5 million students have used the tool at over 5,000 educational institutions in 112 countries."[1]
Functionality
editPerusall integrates with learning management systems such as Canvas and Blackboard to aid with collaborative annotation.[2]
The tool supports annotation of a range of media including text, images, equations, videos, PDFs and snapshots of webpages.[5][6]
Perusall was the first annotation program to include AI-powered functions.[citation needed] A study found Perusall's automated grading scores were "quite similar to those of the teacher".[7]
References
edit- ^ a b "About Perusall". Perusall. Retrieved 16 January 2023.
- ^ a b Hodgson, Justin. "Social Annotation as Writing: Promising Technologies and Practices in Writing Studies". Retrieved 16 January 2023.
- ^ King, Gary. "An Introduction to Perusall" (PDF). Harvard University. Retrieved 16 January 2023.
- ^ ""What is Perusall?"". Montclair State University Instructional Design and Tech. Montclair State University. Retrieved 13 January 2023.
- ^ King, Gary. "An Introduction to Perusall" (PDF). Harvard University. Retrieved 16 January 2023.
- ^ Clarke, Andrew (2021). "Perusall: Social learning platform for reading and annotating". Journal of Political Science Education. 17 (1): 149–154. doi:10.1080/15512169.2019.1649151. S2CID 202328976.
- ^ Cecchinato, Graziano (2020). "Perusall: University learning-teaching innovation employing social annotation and machine learning". Qwerty: Open and Interdisciplinary Journal of Technology, Culture and Education. 15 (2): 45–67. doi:10.30557/QW000030. S2CID 234417429. Retrieved 21 January 2023.