PERC 2019 Abstract Detail Page
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| Abstract Title: | Supporting Future Educational Data Miners through a Summer Research Internship |
|---|---|
| Abstract: | Educational data mining is an emerging field that leverages large-scale data collected by university registration systems, online learning portals, and other digital data collection systems. Text data and modern machine learning methods are used to gain insight into undergraduate student learning, participation, and other outcomes. These data can be connected to traditional PER data such as surveys and concept inventories and be used to produce new insights in the PER space. In 2019, the University of Oslo and Michigan State University offered a nine week summer internship program for bachelor's and master's students. Eight students attended from China, Norway, and the United States. Students learned how to use SQL databases and python to clean and parse dirty data, visualize that data, and build machine learning models to predict outcomes. This poster presents an outline of the summer program and the projects the students pursued. |
| Abstract Type: | Contributed Poster Presentation |
| Session Time: | Poster Session III |
| Poster Number: | C7 |
Author/Organizer Information | |
| Primary Contact: |
John Aiken University of Oslo sem saelands vei 24 Oslo, Non U.S. 0316 Phone: 40477189 |
| Co-Author(s) and Co-Presenter(s) |
Rachel Henderson, Nicholas Young, Marcos D. Caballero all: michigan state university |
