[PDF][PDF] Artificial intelligence in education: a panoramic review

K Ahmad, J Qadir, A Al-Fuqaha, W Iqbal… - DOI: https://doi. org …, 2020 - files.osf.io
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 …

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 …

What attention regulation behaviors tell us about learners in e-reading?: Adaptive data-driven persona development and application based on unsupervised learning

Y Lee, G Migut, M Specht - IEEE Access, 2023 - ieeexplore.ieee.org
Different individual features of the learner data often work as essential indicators of learning
and intervention needs. This work exploits the personas in the design thinking process as …

[PDF][PDF] Optimality Assessments of Classifiers on Single and Multi-labelled Obstetrics Outcome Classification Problems

UG Inyang, SA Robinson, FF Ijebu, IJ Udo… - … Journal of Advanced …, 2021 - researchgate.net
It is indisputable that clinicians cannot exactly state the outcome of pregnancies through
conventional knowledge and methods even as the surge in human knowledge continues …

Self-supervised learning for COVID-19 detection from chest x-ray images

I Feki, S Ammar, Y Kessentini - International Conference on Intelligent …, 2022 - Springer
Most of existing computer vision applications rely on models trained on supervised corpora,
this is contradictory to what the world is seeing with the explosion of massive sets of …

[PDF][PDF] Visual association analytics approach to predictive modelling of students' academic performance

UG Inyang, IJ Eyoh, SA Robinson… - International Journal of …, 2019 - academia.edu
Persistent and quality graduation rates of students are increasingly important indicators of
progressive and effective educational institutions. Timely analysis of students' data to guide …

[PDF][PDF] Homogenous multiple classifier system for software quality assessment based on support vector machine

UG Inyang, OS Adeoye, EN Udo, EF Bassey… - Computer and …, 2022 - academia.edu
In today's society, almost all human endeavours depend on software products. Lack of
quality software is one of the software industry's most important problems. Hence, it would …

Identification of Student Groups for Smart Tutoring and Collaborative Learning Based on Online Activities Using Neural Networks

D Kavitha, D Anitha, C Jeyamala - … of Research on Data Science and …, 2023 - igi-global.com
As the current education scenario has transformed itself to online mode, all learning and
assessment activities including quizzes, report submissions, problem solving, peer …

[PDF][PDF] Clustering-based Recommendations for Enhancing Students' Academic Performance by Recognizing Prevalent Assessment Method using Exploratory Data …

G Sofia, D Hema - Indian Journal of Science and …, 2024 - sciresol.s3.us-east-2.amazonaws …
Objectives: To analyse students' academic performance based on assessment methods and
determine the most prevalent one through which students can be categorised for …

Interactive Intelligence: Multimodal AI for Real-Time Interaction Loop towards Attentive E-Reading

Y Lee - 2024 - research.tudelft.nl
E-learning has shifted the traditional learning paradigms in higher education, offering more
flexible, ubiquitous, and personalized learning experiences. The previous years COVID-19 …