Results 11 to 20 of about 347,866 (276)
A Systematic Review on Educational Data Mining
IEEE Access, 2017 Presently, educational institutions compile and store huge volumes of data, such as student enrolment and attendance records, as well as their examination results. Mining such data yields stimulating information that serves its handlers well.
Ashish Dutt +2 more
doaj +3 more sources
Analyzing students' academic performance using educational data mining
Computers and Education: Artificial IntelligenceEducational Data Mining (EDM) is the process of extracting useful information and knowledge from educational data. EDM identifies patterns and trends from educational data, which can be used to improve academic curriculum, teaching and assessment methods,
Sazol Sarker +3 more
doaj +3 more sources
Educational Data Mining to Support Programming Learning Using Problem-Solving Data
IEEE Access, 2022 Computer programming has attracted a lot of attention in the development of information and communication technologies in the real world. Meeting the growing demand for highly skilled programmers in the ICT industry is one of the major challenges.
Md. Mostafizer Rahman +4 more
doaj +1 more source
Leveraging Causal Reasoning in Educational Data Mining: An Analysis of Brazilian Secondary Education
Applied Sciences, 2023 This study presents an approach to investigating the main interventions related to gains on performance using a combination of educational data mining (EDM) techniques and traditional theory-driven models.
Rogério Luiz Cardoso Silva Filho +2 more
doaj +1 more source
Experiences in Mining Educational Data to Analyze Teacher's Performance: A Case Study with High Educational Teachers [PDF]
, 2017 Educational Data Mining (EDM) is a new paradigm aiming to mine and extract knowledge necessary to optimize the effectiveness of teaching process.
Almasri, Abdelbaset
core +1 more source
Educational data mining in moodle data
International Journal of Informatics and Communication Technology (IJ-ICT), 2021 <p>The main purpose of this research paper is to analyze the moodle data and identify the most influencing features to develop the predictive model. The research applies a wrapper-based feature selection method called Boruta for the selection of best predicting features. Data were collected from eighty-one students who were enrolled in the course
Sushil Shrestha, Manish Pokharel
openaire +2 more sources
Educational Data Mining and Problem-Based Learning
Informatics in Education, 2014 This paper considers the use of log data provided by learning management systems when studying whether students obey the problem-based learning (PBL) method.
Sari WALLDÉN, Erkki MÄKINEN
doaj +1 more source
INCREMENTAL RELATIONAL ASSOCIATION RULE MINING OF EDUCATIONAL DATA SETS
Studia Universitatis Babes-Bolyai: Series Informatica, 2018 Educational Data Mining is an attractive research field in which the underlying idea is that of bringing the data mining perspective into educational environments.
Liana Maria CRIVEI
doaj +1 more source
Resource description framework based methodology to personalise learning
Lietuvos Matematikos Rinkinys, 2016 The paper aims to analyse Educational Data Mining/Learning Analytics application trends to personalise learning. First of all, systematic literature review was performed.
Irina Krikun, Eugenijus Kurilovas
doaj +1 more source
A comparative study of ensemble methods in the field of education: Bagging and Boosting algorithms
International Journal of Assessment Tools in Education, 2023 This study aims to conduct a comparative study of Bagging and Boosting algorithms among ensemble methods and to compare the classification performance of TreeNet and Random Forest methods using these algorithms on the data extracted from ABİDE ...
Hikmet Şevgin
doaj +1 more source