A systematic review on machine learning models for online learning and examination systems
Examinations or assessments play a vital role in every student's life; they determine their
future and career paths. The COVID pandemic has left adverse impacts in all areas …
future and career paths. The COVID pandemic has left adverse impacts in all areas …
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 …
On the Opportunities of Large Language Models for Programming Process Data
Computing educators and researchers have used programming process data to understand
how programs are constructed and what sorts of problems students struggle with. Although …
how programs are constructed and what sorts of problems students struggle with. Although …
Review of csedm data and introduction of two public cs1 keystroke datasets
J Edwards, K Hart, R Shrestha - Journal of …, 2023 - jedm.educationaldatamining.org
Analysis of programming process data has become popular in computing education
research and educational data mining in the last decade. This type of data is quantitative …
research and educational data mining in the last decade. This type of data is quantitative …
A Systematic Literature Review on Performance Prediction in Learning Programming Using Educational Data Mining
Programming education has become an essential skill for the digital generation. However, it
presents a unique set of challenges that can be difficult for beginners. Educational data …
presents a unique set of challenges that can be difficult for beginners. Educational data …
How Various Educational Features Influence Programming Performance in Primary School Education
In the digital age, programming education has become increasingly important, even in
primary schools. However, introducing programming at such an early stage presents unique …
primary schools. However, introducing programming at such an early stage presents unique …
Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance
Educational data mining (EDM) is a part of applied computing that focuses on automatically
analyzing data from learning contexts. Early prediction for identifying at-risk students is a …
analyzing data from learning contexts. Early prediction for identifying at-risk students is a …
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 …
Predictive Attributes in Machine Learning for University Academic Performance: A Feature Engineering Approach
JCJ Luza, C Rodriguez - 2024 IEEE 16th International …, 2024 - ieeexplore.ieee.org
This study focuses on identifying the most relevant predictive attributes that influence the
academic performance of university students in Peru, the objective of this study is to identify …
academic performance of university students in Peru, the objective of this study is to identify …