Imbalanced classification methods for student grade prediction: a systematic literature review
Student success is essential for improving the higher education system student outcome.
One way to measure student success is by predicting students' performance based on their …
One way to measure student success is by predicting students' performance based on their …
Contributions of machine learning models towards student academic performance prediction: a systematic review
Machine learning is emerging nowadays as an important tool for decision support in many
areas of research. In the field of education, both educational organizations and students are …
areas of research. In the field of education, both educational organizations and students are …
Ensemble learning of hybrid acoustic features for speech emotion recognition
K Zvarevashe, O Olugbara - Algorithms, 2020 - mdpi.com
Automatic recognition of emotion is important for facilitating seamless interactivity between a
human being and intelligent robot towards the full realization of a smart society. The …
human being and intelligent robot towards the full realization of a smart society. The …
Creating a recommender system to support higher education students in the subject enrollment decision
AJ Fernández-García, R Rodríguez-Echeverría… - IEEE …, 2020 - ieeexplore.ieee.org
Higher Education plays a principal role in the changing and complex world of today, and
there has been rapid growth in the scientific literature dedicated to predicting students' …
there has been rapid growth in the scientific literature dedicated to predicting students' …
[PDF][PDF] Artificial intelligence in education: a panoramic review
Motivated by the importance of education in an individual's and a society's development,
researchers have been exploring the use of Artificial Intelligence (AI) in the domain and …
researchers have been exploring the use of Artificial Intelligence (AI) in the domain and …
Clustering-based knowledge graphs and entity-relation representation improves the detection of at risk students
The nature of education has been transformed by technological advances and online
learning platforms, providing educational institutions with more options than ever to thrive in …
learning platforms, providing educational institutions with more options than ever to thrive in …
Predicting academic performance of students in Chinese-foreign cooperation in running schools with graph convolutional network
P Hai-tao, F Ming-qu, Z Hong-bin, Y Bi-zhen… - Neural Computing and …, 2021 - Springer
To improve students' performance effectively, many Chinese universities are establishing
systems to predict student's academic performance and sending student's academic early …
systems to predict student's academic performance and sending student's academic early …
Explainable Image Similarity: Integrating Siamese Networks and Grad-CAM
With the proliferation of image-based applications in various domains, the need for accurate
and interpretable image similarity measures has become increasingly critical. Existing …
and interpretable image similarity measures has become increasingly critical. Existing …
A Critical Review of Data Mining for Education: What has been done, what has been learnt and what remains to be seen
I Papadogıannıs, V Poulopoulos… - International Journal of …, 2020 - dergipark.org.tr
This article provides a thorough review of educational data mining (EDM) in the period 2015-
2019. Going beyond earlier review works, in this article we examine previous research from …
2019. Going beyond earlier review works, in this article we examine previous research from …
Early prediction of a team performance in the initial assessment phases of a software project for sustainable software engineering education
M Naseer, W Zhang, W Zhu - Sustainability, 2020 - mdpi.com
Software engineering is a competitive field in education and practice. Software projects are
key elements of software engineering courses. Software projects feature a fusion of process …
key elements of software engineering courses. Software projects feature a fusion of process …