Introductory programming: a systematic literature review
As computing becomes a mainstream discipline embedded in the school curriculum and
acts as an enabler for an increasing range of academic disciplines in higher education, the …
acts as an enabler for an increasing range of academic disciplines in higher education, the …
Predicting academic performance: a systematic literature review
The ability to predict student performance in a course or program creates opportunities to
improve educational outcomes. With effective performance prediction approaches …
improve educational outcomes. With effective performance prediction approaches …
A robust machine learning technique to predict low-performing students
As enrollments and class sizes in postsecondary institutions have increased, instructors
have sought automated and lightweight means to identify students who are at risk of …
have sought automated and lightweight means to identify students who are at risk of …
CS1: how will they do? How can we help? A decade of research and practice
ABSTRACT Background and Context: Computer Science attrition rates (in the western
world) are very concerning, with a large number of students failing to progress each year. It …
world) are very concerning, with a large number of students failing to progress each year. It …
Evaluating neural networks as a method for identifying students in need of assistance
K Castro-Wunsch, A Ahadi, A Petersen - Proceedings of the 2017 ACM …, 2017 - dl.acm.org
Course instructors need to be able to identify students in need of assistance as early in the
course as possible. Recent work has suggested that machine learning approaches applied …
course as possible. Recent work has suggested that machine learning approaches applied …
Behaviors of higher and lower performing students in CS1
Although recent work in computing has discovered multiple techniques to identify low-
performing students in a course, it is unclear what factors contribute to those students' …
performing students in a course, it is unclear what factors contribute to those students' …
Resilience and effective learning in first-year undergraduate computer science
Many factors have been shown to be important for supporting effective learning and
teaching--and thus progression and success--in higher education. While factors such as key …
teaching--and thus progression and success--in higher education. While factors such as key …
Programming: predicting student success early in CS1. a re-validation and replication study
This paper describes a large, multi-institutional revalidation study conducted in the
academic year 2015-16. Six hundred and ninety-two students participated in this study, from …
academic year 2015-16. Six hundred and ninety-two students participated in this study, from …
The use of student response systems with learning analytics: a review of case studies (2008-2017)
This paper reviews the case studies on the use of student response systems (SRSs) with
learning analytics. A total of 26 case studies published between 2008 and 2017 were …
learning analytics. A total of 26 case studies published between 2008 and 2017 were …
Mining sequential learning trajectories with hidden markov models for early prediction of at-risk students in e-learning environments
With the onset of online education via technology-enhanced learning platforms, large
amount of educational data is being generated in the form of logs, clickstreams …
amount of educational data is being generated in the form of logs, clickstreams …