Educational data mining: a systematic review of research and emerging trends

X Du, J Yang, JL Hung, B Shelton - Information Discovery and …, 2020 - emerald.com
Purpose Educational data mining (EDM) and learning analytics, which are highly related
subjects but have different definitions and focuses, have enabled instructors to obtain a …

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 …

[图书][B] Machine learning and deep learning in real-time applications

M Mahrishi, KK Hiran, G Meena, P Sharma - 2020 - books.google.com
Artificial intelligence and its various components are rapidly engulfing almost every
professional industry. Specific features of AI that have proven to be vital solutions to …

Effects and acceptance of precision education in an AI-supported smart learning environment

YH Hu - Education and Information Technologies, 2022 - Springer
The research presents precision education that aims to regulate students' behaviors through
the learning analytics dashboard (LAD) in the AI-supported smart learning environment …

Student engagement patterns in a blended learning environment: An educational data mining approach

LM Nkomo, M Nat - TechTrends, 2021 - Springer
With various digital technologies increasingly integrated into higher education,
understanding how students engage with such technologies has become vital. There are …

Using online student interactions to predict performance in a first-year computing science course

S Goundar, A Deb, G Lal, M Naseem - Technology, Pedagogy and …, 2022 - Taylor & Francis
Student performance is a critical factor in determining a university's reputation because it
has a negative effect on student retention. Students who do not perform well in a course are …

Design and implementation of an activity-based introductory Computer Science Course (CS1) with periodic reflections validated by learning analytics

M Dorodchi, A Benedict, D Desai… - 2018 IEEE Frontiers …, 2018 - ieeexplore.ieee.org
This research to practice full paper provides preliminary evidence that integrating reflections
is a significant feature to identify at-risk students early in a semester as verified and validated …

Using data mining in educational administration: A case study on improving school attendance

R Moodley, F Chiclana, J Carter, F Caraffini - Applied Sciences, 2020 - mdpi.com
Pupil absenteeism remains a significant problem for schools across the globe with negative
impacts on overall pupil performance being well-documented. Whilst all schools continue to …

Predicting student actions in a procedural training environment

D Riofrıo-Luzcando, J Ramırez… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Data mining is known to have a potential for predicting user performance. However, there
are few studies that explore its potential for predicting student behavior in a procedural …

A preliminary proposal of a conceptual educational data mining framework for science education: Scientific competences development and self-regulated learning

R Tavares, R Vieira, L Pedro - 2017 international symposium …, 2017 - ieeexplore.ieee.org
The present paper is part of a wider study, focussed on the development of a digital
educational resource for Science Education in primary school, integrating an Educational …