Retention factors in STEM education identified using learning analytics: a systematic review
Student persistence and retention in STEM disciplines is an important yet complex and multi-
dimensional issue confronting universities. Considering the rapid evolution of online …
dimensional issue confronting universities. Considering the rapid evolution of online …
Detecting unsuccessful students in cybersecurity exercises in two different learning environments
V Švábenský, K Tkáčik, A Birdwell, R Weiss… - arXiv preprint arXiv …, 2024 - arxiv.org
This full paper in the research track evaluates the usage of data logged from cybersecurity
exercises in order to predict students who are potentially at risk of performing poorly. Hands …
exercises in order to predict students who are potentially at risk of performing poorly. Hands …
OPTES: A Tool for Behavior-based Student Programming Progress Estimation
Programming ability is the core ability for students in computer majors, but current training in
programming ability lacks process observation and evaluation. Relying solely on a small …
programming ability lacks process observation and evaluation. Relying solely on a small …
Early identification of struggling students in large computer science courses: A replication study
N Rys-Recker, Q Hao - 2024 IEEE 48th Annual Computers …, 2024 - ieeexplore.ieee.org
The identification of struggling students in a scalable manner in large computer science
courses continues to attract researchers' attention because of the high failure and dropout …
courses continues to attract researchers' attention because of the high failure and dropout …
Combining Local Testing with Automatic Commits: Benefits for Progress Tracking and CS2 Students' Learning Experience
Many instructors in introductory programming courses experience high dropout and failure
rates. Identifying struggling students early is a prerequisite to target this problem. To this …
rates. Identifying struggling students early is a prerequisite to target this problem. To this …
Relation Between Student Characteristics, Git Usage and Success in Programming Courses
Students' prior knowledge and self-regulated learning are important predictors of academic
success. A growing body of literature studies these predictors with respect to introductory …
success. A growing body of literature studies these predictors with respect to introductory …
Attribution of Work in Programming Teams with Git Reporter
Many courses in computer science feature team projects which expose students to
challenges resembling those in the software industry. For a fair assessment in team projects …
challenges resembling those in the software industry. For a fair assessment in team projects …
ESL 4.0: A Practical Guide to Benefits, Challenges, and Best Practices for AI-Enhanced Learning
R Abobaker, S Moleta - AI Applications and Strategies in Teacher …, 2025 - igi-global.com
The interest of implementing cutting-edge technology has always been potent in education.
Artificial intelligence (AI) has the potential of being a ubiquitous powerful tool that promises …
Artificial intelligence (AI) has the potential of being a ubiquitous powerful tool that promises …
ESL 4.0 A Practical Guide to Benefits, Challenges, and Best Practices
S Moleta - AI Applications and Strategies in Teacher Education, 2024 - books.google.com
The interest of implementing cutting-edge technology has always been potent in education.
Artificial intelligence (AI) has the potential of being a ubiquitous pow-erful tool that promises …
Artificial intelligence (AI) has the potential of being a ubiquitous pow-erful tool that promises …
G is for Generalisation: Predicting Student Success from Keystrokes
Student performance prediction aims to build models to help educators identify struggling
students so they can be better supported. However, prior work in the space frequently …
students so they can be better supported. However, prior work in the space frequently …