Predicting at-risk university students based on their e-book reading behaviours by using machine learning classifiers
Providing early predictions of academic performance is necessary for identifying at-risk
students and subsequently providing them with timely intervention for critical factors affecting …
students and subsequently providing them with timely intervention for critical factors affecting …
Educational explainable recommender usage and its effectiveness in high school summer vacation assignment
Explainable recommendations, which provide explanations about why an item is
recommended, help to improve the transparency, persuasiveness, and trustworthiness …
recommended, help to improve the transparency, persuasiveness, and trustworthiness …
Early-warning prediction of student performance and engagement in open book assessment by reading behavior analysis
Digitized learning materials are a core part of modern education, and analysis of the use can
offer insight into the learning behavior of high and low performing students. The topic of …
offer insight into the learning behavior of high and low performing students. The topic of …
The relationship between self-regulated learning behavior and attitudes in project-based learning classes: A case study
YS Lin, YH Lin - International Journal of Engineering …, 2023 - cuk.elsevierpure.com
This study aims to explore the relationship between students' learning behavior, perceptions
of project-based learning (PjBL), and learning outcomes in the context of engineering …
of project-based learning (PjBL), and learning outcomes in the context of engineering …
Multiclass Student Engagement Level Prediction using Belief-Rule Based Labelling
KT Chong, NB Ibrahim… - 2023 Sixth International …, 2023 - ieeexplore.ieee.org
Educational Data Mining (EDM) is the process of understanding the student learning
method, studying educational questions, and enhancing the teaching and learning (T&L) …
method, studying educational questions, and enhancing the teaching and learning (T&L) …
Supporting Reflective Teaching Strategies in an Analytics-Driven Learning Ecosystem: Cases of Using LEAF System from India and Japan
Learning Analytics (LA) is a growing field focusing on capturing, analyzing, and utilizing data
from teaching-learning contexts. It aims to facilitate a better understanding of the learning …
from teaching-learning contexts. It aims to facilitate a better understanding of the learning …