Results 51 to 60 of about 900,550 (188)

Educational data mining: a 10-year review

Discover Computing
This systematic review comprehensively examines the application and impacts of Educational Data Mining (EDM) over the past decade. It explores the use of various data mining tools and techniques, statistics, and machine learning algorithms in education ...
Emi Kalita, S. Oyelere, Silvia N. Gaftandzhieva, K. Rajesh, S. Jagatheesaperumal, Asmaa Mohamed, Yomna M. Elbarawy, Abeer S. Desuky, Sadiq Hussain, M. Çifçi, P. Theodorou, S. Hilčenko, J. Hazarika, Nazar T. Ali   +13 more
semanticscholar   +1 more source

Using Educational Data Mining Techniques to Identify Profiles in Self-Regulated Learning: An Empirical Evaluation

International Review of Research in Open and Distance Learning, 2022
With the increased emphasis on the benefits of self-regulated learning (SRL), it is important to make use of the huge amounts of educational data generated from online learning environments to identify the appropriate educational data mining (EDM ...
Eric Araka, Robert O. Oboko, E. Maina, Rhoda Gitonga   +3 more
semanticscholar   +1 more source

Educational Data Mining: A Bibliometric Analysis of an Emerging Field

IEEE Access, 2022
We are now able to collect enormous amounts of information at the learner level. Mining educational data to provide data-driven analytics has spurred great interest among researchers and policymakers that continues to grow.
Clare Baek, Tenzin Doleck
semanticscholar   +1 more source

Data-Mining Research in Education

CoRR, 2017
As an interdisciplinary discipline, data mining (DM) is popular in education area especially when examining students' learning performances. It focuses on analyzing educational related data to develop models for improving learners' learning experiences and enhancing institutional effectiveness.
openaire   +2 more sources

Utilizing Machine Learning Models to Predict Student Performance From LMS Activity Logs

IEEE Access, 2023
In recent years, the application of data mining techniques on educational data has grown in importance. Educational data mining can be used to find hidden patterns in students’ academic conduct and predict future success by examining previous data.
Majid Khan, Saba Naz, Yashir Khan, Muneeb Zafar, Maqbool Khan, Giovanni Pau   +5 more
doaj   +1 more source

Artificial Intelligence in Educational Data Mining and Human-in-the-Loop Machine Learning and Machine Teaching: Analysis of Scientific Knowledge

Applied Sciences
This study explores the integration of artificial intelligence (AI) into educational data mining (EDM), human-assisted machine learning (HITL-ML), and machine-assisted teaching, with the aim of improving adaptive and personalized learning environments. A
Eloy López-Meneses, Luis López-Catalán, Noelia Pelícano-Piris, Pedro C. Mellado-Moreno   +3 more
semanticscholar   +1 more source

Causal Inference in Educational Data Mining

, 2022
The previous two years, we hosted causal inference workshops at the EDM international conferences with great success. Over 30 people attended each of the workshops, and both workshops featured stimulating talks on recently completed projects, works in progress, and open questions.
Adam Sales, Neil T. Heffernan
openaire   +2 more sources

Academic course planning recommendation and students’ performance prediction multi-modal based on educational data mining techniques

Journal of Computing in Higher Education
Educational Data Mining (EDM) has recently received significant attention, leading to the development of various Data Mining (DM) methodologies for extracting hidden knowledge within educational data.
Ahmed Kord, Ahmed Aboelfetouh, S. Shohieb   +2 more
semanticscholar   +1 more source

Artificial Neural Networks for Educational Data Mining in Higher Education: A Systematic Literature Review

Applied Artificial Intelligence, 2021
Efforts to raise the bar of higher education so as to respond to dynamic societal/industry needs have led to a number of initiatives, including artificial neural network (ANN) based educational data mining (EDM) inclusive.
E. Okewu, P. Adewole, S. Misra, R. Maskeliūnas, R. Damaševičius   +4 more
semanticscholar   +1 more source

Educational Data Mining and Predictive Modeling in the Age of Artificial Intelligence: An In-Depth Analysis of Research Dynamics

De Computis
This article provides a comprehensive analysis of the research dynamics on the use of Educational Data Mining (EDM) and predictive modeling (PM) in the era of Artificial Intelligence (AI) based on the review of 793 articles published between 2000 and ...
Eloy López-Meneses, Pedro C. Mellado-Moreno, Celia Gallardo Herrerías, Noelia Pelícano-Piris   +3 more
semanticscholar   +1 more source