Learning from Learners- Designing a Data Science Curriculum
This project is an opportunity to gain hands-on experience teaching data science in an advanced secondary-school environment. This fall, you will act as a teaching assistant (mostly remote, but with some on-site requirements) for a new introductory data science class that will be offered to advanced secondary-school students through the Bard College Early High School program. You will have the opportunity to contribute to the curriculum for this unique course, as well as learn firsthand from this diverse student body about how data science instruction can attract and engage learners of all backgrounds.
This is project is NOT accepting applications.
Faculty Advisor
- Professor: Susan McGregor
- Center/Lab:
- Location: The Interchurch Center, 3rd Floor
- McGregor’s research is centered on security and privacy issues affecting journalists and media organizations, while her pedagogical development focuses on methods for teaching data science and programming to novice learners from diverse backgrounds.
Project Timeline
- Earliest starting date: 9/6/21
- End date: 12/23/21
- Number of hours per week of research expected during Fall 2021: ~8
Candidate requirements
- Skill sets: Basic Python programming, statistics, familiarity with numbers and a genuine interest in the teaching/learning process
- Student eligibility:
freshman,sophomore,junior, senior, master’s - International students on F1 or J1 visa: NOT eligible
- Academic Credit Possible: No
- Additional comments: Selected candidate will need to undergo a background check and fingerprinting process with the NYC Department of Education; this is required for any position where there is contact with public school students.