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2021 Editorial Committee
Association at a Glance
May 30 - Jun 02
Did you know?
AIR welcomes brief conference/event announcements of interest to the IR and higher education communities.
Listings Closing Soon
Since 1963, Mount Wachusett Community College has built a tradition of providing innovative undergraduate education, workforce development, personal enrichment, and community service to North Central Massachusetts and beyond. MWCC is located in Gardner, MA, with satellite campuses in Fitchburg, Leominster and Devens. An award-winning, national leader in the area of renewable energy, MWCC is also nationally recognized for its veterans' services, civic engagement and K-12 partnerships.
We hope you will consider applying for one of our open positions, and discover all that Mount Wachusett Community College and the North Central Massachusetts region have to offer.
Please contact the Department Chair, Tina Wilson (email@example.com) or Dean Veronica Guay (firstname.lastname@example.org) if interested in learning more.
Course Description: Students will learn about the five principles of data ethics: ownership, transparency, privacy, intention, and outcomes as well as the data ethics tenets set by the Federal Data Strategy Team. Students will focus on ethical standards and practices specifically related to collecting, using, and selling data, security, privacy, policy, advocacy, and legal requirements. Additionally, students will review case studies; identify the importance of working with domain experts; compare strategies such as Data Feminism with traditional approaches; learn how discrimination impacts data and society; utilize visualizations; and complete writing assignments.
Student Learning Outcomes
- Describe five principles of data ethics: ownership, transparency, privacy, intention, and outcomes
- Review and discuss the data ethics tenets set by the Federal Data Strategy Team
- Define classical ethical theories and Data Analytics
- Review case studies and assess best practices related to examples of collecting, using, and selling data • Identify risks related to security, privacy, policy, advocacy, and legal requirements
- Discuss privacy and shared responsibility
- Identify the importance of working with domain experts
- Identify value-laden biases and discrimination in Data Analytics
- Create visualizations that illustrate concepts related to fairness and identify mistakes
- Construct peer review exercises to review outcomes and measure accuracy
- Test accountability for AI and synthetic data for AI
- Compare strategies such as Data Feminism with traditional approaches
- Describe how discrimination impacts data and society
The goal of learning through inquiry, exploration and collaborative work is to increase problem solving, reasoning, analysis, critical thinking, and teamwork skills – all critical to becoming independent users of information technology.
- Masters degree with a major in course content area;
- Evidence of competence in the area of instruction;
- Maintain expertise appropriate to teaching responsibilities.
- 3-5 years teaching experience in a community college