Introduction To The Issue On Signal Processing And Machine Learning

The papers in this special section focus on the use of machine learning and signal processing for educational applications. Recent advances in machine learning and signal processing provide promising new avenues to move beyond this “one size fits all” educational approach. The key is that today’s learning technology platforms can capture personal learning data about students as they proceed through courses: performance on homework and exams, click actions made while watching lecture videos or interacting with simulations, the social learning networks formed among the students, the content posted on discussion forums, and so on. This data enables new opportunities to study the process of student learning and to design systems that improve learning at scale by closing the learning feedback loop. This special issue of showcases research from the signal processing community that is advancing effective learning at scale.