50 citations · 55 across the 3 of their papers we have counts for
4 papers
Widening Access to Applied Machine Learning with TinyML
Vijay Janapa Reddi, Brian Plancher, Susan Kennedy +21
Broadening access to both computational and educational resources is critical to diffusing machine-learning (ML) innovation. However, today, most ML resources and experts are siloe…
Modelling and Using Response Times in Online Courses
Ilia Rushkin, Isaac Chuang, Dustin Tingley
Each time a learner in a self-paced online course seeks to answer an assessment question, it takes some time for the student to read the question and arrive at an answer to submit.…
Estimation and Inference on Nonlinear and Heterogeneous Effects
Marc Ratkovic, Dustin Tingley
Multiple regression has been the go-to method for data analysis for generations of scholars due to its transparency, interpretability, and desirable theoretical properties. However…
Delving Deeper into MOOC Student Dropout Prediction
Jacob Whitehill, Kiran Mohan, Daniel Seaton +2
In order to obtain reliable accuracy estimates for automatic MOOC dropout predictors, it is important to train and test them in a manner consistent with how they will be used in pr…