Time-on-Task Metrics for Predicting Performance
Author:
Affiliation:
1. Aalto University, Espoo, Finland
2. University of Massachusetts Amherst, Amherst, MA, USA
Funder
Media Industry Research Foundation of Finland
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3478431.3499359
Reference36 articles.
1. Exploring Machine Learning Methods to Automatically Identify Students in Need of Assistance
2. Predicting MOOCs Dropout Using Only Two Easily Obtainable Features from the First Week’s Activities
3. The Relationship Among Teaching Methods, Student Characteristics, and Student Involvement in Learning
4. A Simple, Language-Independent Approach to Identifying Potentially At-Risk Introductory Programming Students
5. Using Programming Process Data to Detect Differences in Students' Patterns of Programming
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