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In this talk I want to explore the impact of using Hypothesis in the classroom. What does it mean to read, think, and annotate publicly? How does it change your learning experience as a student? How do you evaluate and assess different annotation styles as a teacher? As a student I can share my own experience of this new mode of teaching and learning. As a data scientist, I want to give a taste of possible new metrics and measurements based on annotation data. Finally, as a critical scholar I am hoping to explore how this new metrification and monitoring of reading might affect education. The talk will rely on data outlined in this essay: https://course-journals.lib.sfu.ca/index.php/pdc2018/article/view/240/213
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\r\n\r\ncsv,conf brings diverse groups together to discuss data topics, and features stories about data sharing and data analysis from science, journalism, government, and open source.
\r\n\r\ncsv,conf is a non-profit community conference run by folks who really love data and sharing knowledge. If you are as passionate about data and its application to society as we are, then this is the conference for you.
\r\n\r\ncsv,conf conferences aren't just about spreadsheets. We curate content on broader topics like advancing the art of data collaboration- from putting your data on GitHub, to producing meaningful insight by running large scale distributed processing on a cluster.
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