[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 …
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 …
What attention regulation behaviors tell us about learners in e-reading?: Adaptive data-driven persona development and application based on unsupervised learning
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 …
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
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 …
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 …
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
Persistent and quality graduation rates of students are increasingly important indicators of
progressive and effective educational institutions. Timely analysis of students' data to guide …
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
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 …
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
As the current education scenario has transformed itself to online mode, all learning and
assessment activities including quizzes, report submissions, problem solving, peer …
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 …
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 …
flexible, ubiquitous, and personalized learning experiences. The previous years COVID-19 …