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Recent advances in Predictive Learning Analytics: A decade systematic review (2012–2022)
The last few years have witnessed an upsurge in the number of studies using Machine and
Deep learning models to predict vital academic outcomes based on different kinds and …
Deep learning models to predict vital academic outcomes based on different kinds and …
You can handle, you can teach it: Systematic review on the use of extended reality and artificial intelligence technologies for online higher education
Over the past year, defined by the COVID-19 pandemic, we have witnessed a boom in
applying key emerging technologies in education. In such challenging situations, technology …
applying key emerging technologies in education. In such challenging situations, technology …
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 …
Improving effectiveness of online learning for higher education students during the COVID-19 pandemic
X Li, Z Pei - Frontiers in psychology, 2023 - frontiersin.org
During the COVID-19 pandemic, online learning has become one of the important ways of
higher education because it is not confined by time and place. How to ensure the …
higher education because it is not confined by time and place. How to ensure the …
Application of Data Mining for the Prediction of Academic Performance in University Engineering Students at the National Autonomous University of Mexico, 2022
Introduction: In the present study, data mining is applied to predict the academic
performance of university Engineering students at the National Autonomous University of …
performance of university Engineering students at the National Autonomous University of …
Regularized ensemble learning for prediction and risk factors assessment of students at risk in the post-COVID era
The COVID-19 pandemic has had a significant impact on students' academic performance.
The effects of the pandemic have varied among students, but some general trends have …
The effects of the pandemic have varied among students, but some general trends have …
[HTML][HTML] Quantifying variability in predictions of student performance: Examining the impact of bootstrap resampling in data pipelines
Educators seek to develop accurate and timely prediction models to forecast student
retention and attrition. Although prior studies have generated single point estimates to …
retention and attrition. Although prior studies have generated single point estimates to …
Students' complex trajectories: exploring degree change and time to degree
The complex trajectories of higher education students are deviations from the regular path
due to delays in completing a degree, drop** out, taking breaks, or changing …
due to delays in completing a degree, drop** out, taking breaks, or changing …
Towards the automated generation of readily applicable personalised feedback in education
Providing personalised feedback to a large student cohort is a longstanding challenge in
education. Recent work in prescriptive learning analytics (PLA) demonstrated a promising …
education. Recent work in prescriptive learning analytics (PLA) demonstrated a promising …
El rendimiento académico universitario durante la pandemia. Un análisis comparativo entre las calificaciones y las percepciones del profesorado
Se presentan los resultados obtenidos en un estudio empírico cuyos objetivos eran: a)
analizar las calificaciones académicas del alumnado obtenidas en el periodo pandémico y …
analizar las calificaciones académicas del alumnado obtenidas en el periodo pandémico y …