Lost in Translation: Reimagining the Machine Learning Life Cycle in Education
With the rapid proliferation of machine learning (ML) technologies in the education sphere, accelerated in part by ongoing public health crises, an urgent need exists to investigate how machine learning supports education principles and goals. Serena Wang presents qualitative insights from interviews with education domain experts, grounded in machine learning for education (ML4Ed) papers published in applied machine learning conferences over the past decade.
- Start: 19 April 2022
- End: 19 April 2022
- Attendance:
- Location: N/A , , United States
