Early Detection of At-risk Students in Cs 1 Using Teachback / Spinoza

@inproceedings{Tarimo2016EarlyDO,
  title={Early Detection of At-risk Students in Cs 1 Using Teachback / Spinoza},
  author={William T. Tarimo and Fatima Abu Deeb and Timothy J. Hickey},
  year={2016}
}
In this paper, we provide evidence that analysis of student interaction with webbased pedagogical tools in a large partly-flipped CS1 class can be used for early detection of at-risk students. We used student interaction data to estimate five learning style features: engagement, learning speed, confidence, drive, and persistence. We found a positive… CONTINUE READING