Educational data mining: a systematic review of research and emerging trends
Purpose Educational data mining (EDM) and learning analytics, which are highly related
subjects but have different definitions and focuses, have enabled instructors to obtain a …
subjects but have different definitions and focuses, have enabled instructors to obtain a …
[HTML][HTML] Learning behaviours data in programming education: Community analysis and outcome prediction with cleaned data
Due to the COVID19 pandemic, more higher-level education programmes have moved to
online channels, raising issues in monitoring students' learning progress. Thanks to …
online channels, raising issues in monitoring students' learning progress. Thanks to …
Using convolutional neural network to recognize learning images for early warning of at-risk students
This article proposes two innovative approaches, the one-channel learning image
recognition and the three-channel learning image recognition, to convert student's course …
recognition and the three-channel learning image recognition, to convert student's course …
An integrated framework based on latent variational autoencoder for providing early warning of at-risk students
The rapid development of learning technologies has enabled online learning paradigm to
gain great popularity in both high education and K-12, which makes the prediction of student …
gain great popularity in both high education and K-12, which makes the prediction of student …
Modeling consistency using engagement patterns in online courses
Consistency of learning behaviors is known to play an important role in learners'
engagement in a course and impact their learning outcomes. Despite significant advances …
engagement in a course and impact their learning outcomes. Despite significant advances …
On data protection regulations, big data and sledgehammers in Higher Education
RA García-Vélez, M López-Nores… - Applied Sciences, 2019 - mdpi.com
Universities in Latin America commonly gather much more information about their students
than allowed by data protection regulations in other parts of the world. We have tackled the …
than allowed by data protection regulations in other parts of the world. We have tackled the …
[PDF][PDF] Significant, backwards, and systematic: An integrated approach to course design
L Lohman - 42nd Annual Proceedings of the International …, 2019 - ERIC
This paper explores the intersection between current methods for introducing and teaching
computational thinking (CT) to students in kindergarten to twelve grade (K-12) and culture …
computational thinking (CT) to students in kindergarten to twelve grade (K-12) and culture …
Analyzing and Comparing Clustering Algorithms for Student Academic Data
S Bhurre, S Raikwar, S Prajapat, D Pathak - UK Workshop on …, 2023 - Springer
The online learning data could be analyzed in order to improve the teaching-learning
process. The Performance of students depends on several factors, that could be managed to …
process. The Performance of students depends on several factors, that could be managed to …
Education as a complex system: an investigation of students' learning behaviours in programming education using complexity approaches.
TT Mai - 2022 - doras.dcu.ie
As a result of the COVID19 pandemic, more higher-level education courses have moved to
online channels, raising challenges among educators in monitoring students' learning …
online channels, raising challenges among educators in monitoring students' learning …
[PDF][PDF] Student Performance Analysis Using Data Mining Techniques: a Case Study
This case study analyzes student performance over semesters, considering their grades in
the courses they completed during their studies. Estimating their performance in advance …
the courses they completed during their studies. Estimating their performance in advance …