Educational data mining: A review

SK Mohamad, Z Tasir - Procedia-Social and Behavioral Sciences, 2013 - Elsevier
Data Mining is very useful in the field of education especially when examining students'
learning behavior in online learning environment. This is due to the potential of data mining …

Machines learning trends, perspectives and prospects in education sector

NA Jalil, HJ Hwang, NM Dawi - … of the 3rd International Conference on …, 2019 - dl.acm.org
In the contemporary exam-driven domain of education, each time a new technology
transpires, societies want to know how it can be used to make kids get superior grades, how …

Enhanced personalized recommendation system for machine learning public datasets: generalized modeling, simulation, significant results and analysis

S Bhaskaran, R Marappan - International Journal of Information …, 2023 - Springer
Nowadays, e-learning, an intelligent learning system based on the formal teaching
methodology but with some electronic properties or resources, plays a major role for …

[HTML][HTML] Exploring online activities to predict the final grade of student

S Gaftandzhieva, A Talukder, N Gohain, S Hussain… - Mathematics, 2022 - mdpi.com
Student success rate is a significant indicator of the quality of the educational services
offered at higher education institutions (HEIs). It allows students to make their plans to …

Combination of machine learning algorithms for recommendation of courses in E-Learning System based on historical data

SB Aher, L Lobo - Knowledge-Based Systems, 2013 - Elsevier
Data mining is the process which is used to analyze the large database to find the useful
pattern. Data mining can be used to learn about student's behavior from data collected using …

Preferred methods of learning for nursing students in an on-line degree program

D Hampton, PF Pearce, DK Moser - Journal of Professional Nursing, 2017 - Elsevier
Investigators have demonstrated that on-line courses result in effective learning outcomes,
but limited information has been published related to preferred teaching strategies. Delivery …

Comparing strategies for modeling students learning styles through reinforcement learning in adaptive and intelligent educational systems: An experimental analysis

FA Dorça, LV Lima, MA Fernandes… - Expert Systems with …, 2013 - Elsevier
A huge number of studies attest that learning is facilitated if teaching strategies are in
accordance with students learning styles, making the learning process more effective and …

Regression analysis of student academic performance using deep learning

S Hussain, S Gaftandzhieva, M Maniruzzaman… - Education and …, 2021 - Springer
Educational data mining helps the educational institutions to perform effectively and
efficiently by exploiting the data related to all its stakeholders. It can help the at-risk students …

Systematic literature review for the use of AI based techniques in adaptive learning management systems

VK Nadimpalli, F Hauser, D Bittner… - Proceedings of the 5th …, 2023 - dl.acm.org
Nowadays, learning management systems are widely employed in all educational
institutions to instruct students as a result of the increasing in online usage. Today's learning …

Benefits of interactive graphic organizers in online learning: Evidence for generative learning theory.

X Wang, RE Mayer, P Zhou, L Lin - Journal of Educational …, 2021 - psycnet.apa.org
This study examined the impacts of 2 different graphic organizers (filled-in graphic
organizers and interactive graphic organizers) on middle school students' learning …