Educational data mining is an emerging interdisciplinary research area involving both education and informatics. It has become an imperative research area due to many …
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 …
Understanding, modeling, and predicting student performance in higher education poses significant challenges concerning the design of accurate and robust diagnostic models …
Speech recognition has various applications including human to machine interaction, sorting of telephone calls by gender categorization, video categorization with tagging and so …
J Moon, F Ke, Z Sokolikj - British Journal of Educational …, 2020 - Wiley Online Library
Tracking students' learning states to provide tailored learner support is a critical element of an adaptive learning system. This study explores how an automatic assessment is capable …
S Syed Mustapha - Applied System Innovation, 2023 - mdpi.com
The utilization of data mining techniques for the prompt prediction of academic success has gained significant importance in the current era. There is an increasing interest in utilizing …
A critical component in the computer-aided medical diagnosis of digital chest X-rays is the automatic detection of lung abnormalities, since the effective identification at an initial stage …
M Zhang, G Geng, J Chen - Entropy, 2020 - mdpi.com
Increasingly, popular online museums have significantly changed the way people acquire cultural knowledge. These online museums have been generating abundant amounts of …
Abstract Educational Data Mining and Learning Analytics are two interrelated and fast- growing research fields with a view to extracting meaningful information from educational …