Creating curriculum with an ever-changing student body is difficult. Faculty members in a
given department will have different perspectives on the composition and academic needs …

In recent years, deep learning models have been more and more widely used in various
fields and have become a research hotspot for various tasks in artificial intelligence, but …

Increasingly, students enrolled into foundational CS courses such as programming
fundamentals include those from many non-CS majors including Data Analytics, Business …

Transfer learning is a successful technique that significantly improves machine learning
algorithms by training on a sequence of tasks rather than a single task in isolation. However …

Curriculum learning (CL) is a machine learning paradigm gradually learning from easy to
hard, which is inspired by human curricula. As an easy-to-use and general training strategy …

Machine learning is a fast-growing field with various applications in artificial intelligence and
data science. Recently, a new machine learning program have been integrated into the …

How machine learning impacts the undergraduate computing curriculum Page 1 NOVEMBER
2018 | VOL. 61 | NO. 11 | COMMUNICATIONS OF THE ACM 27 viewpoints IMA GE B Y MET …

Student retention is an important topic in Computer Science departments across the country.
Keeping strong students and helping struggling students perform better are two fundamental …

University professors of conventional offline classes are often experts in their research fields,
but have little training on educational sciences. Current educational data mining techniques …

Curriculum Learning is motivated by human cognition, where teaching often involves
gradually exposing the learner to examples in a meaningful order, from easy to hard …