ENGW 3315 Lecture Notes - Lecture 10: Predictive Analytics, Recommender System, Zip Code

• School: Northeastern University
• Department: English Writing
• Course: ENGW 3315
• Professor: Emily B.Avery- Miller

Document Summary

Equity gaps: lower income students have less access to technology. Increase college attainment rates: could help students graduate with degrees quicker and less debt. The majority of students going to college today: older, less affluent, less well prepared, taking longer to go to school, going to more than one institution. What are ethical consequences of big data: Four main ways universities are using these tools: 1. Recommender system so student knows what courses to take 4. Adaptive technologies- delivering content adequately in the classroom. Ensuring proper use of data: data is complete and interpreted properly. Designing predictive models and algorithms that don"t create bias. Carefully communicating to students when deploying interventions. Technology is ideology: it"s not neutral or value free.