A survey on educational process mining

A Bogarín, R Cerezo, C Romero - … Reviews: Data Mining and …, 2018 - Wiley Online Library
Educational process mining (EPM) is an emerging field in educational data mining (EDM)
aiming to make unexpressed knowledge explicit and to facilitate better understanding of the …

Mining in educational data: review and future directions

SA Salloum, M Alshurideh, A Elnagar… - Proceedings of the …, 2020 - Springer
One of the developing fields of the present times is educational data mining that pertains to
developing methods that help in examining various kinds of data obtained from the …

Educational data mining: a review of the state of the art

C Romero, S Ventura - … on Systems, Man, and Cybernetics, Part …, 2010 - ieeexplore.ieee.org
Educational data mining (EDM) is an emerging interdisciplinary research area that deals
with the development of methods to explore data originating in an educational context. EDM …

Using process mining to analyze students' quiz-taking behavior patterns in a learning management system

L Juhaňák, J Zounek, L Rohlíková - Computers in Human Behavior, 2019 - Elsevier
The aim of this paper is to explore students' behavior and interaction patterns in different
types of online quiz-based activities within learning management systems (LMS). Analyzing …

[图书][B] Handbook of educational data mining

C Romero, S Ventura, M Pechenizkiy, RSJ Baker - 2010 - books.google.com
This handbook helps education experts understand what types of questions EDM can
address and helps data miners understand what types of questions are important to …

[PDF][PDF] Discovering learning processes using inductive miner: A case study with learning management systems (LMSs)

A Bogarín Vega, R Cerezo Menéndez, C Romero - Psicothema, 2018 - digibuo.uniovi.es
Abstract Resumen Background: Process mining with educational data has made use of
various algorithms for model discovery, principally Alpha Miner, Heuristic Miner, and …

Clustering for improving educational process mining

A Bogarín, C Romero, R Cerezo… - Proceedings of the …, 2014 - dl.acm.org
In this paper, we propose to use clustering to improve educational process mining. We want
to improve both the performance and comprehensibility of the models obtained. We have …

Putting it all together: Combining learning analytics methods and data sources to understand students' approaches to learning programming

S López-Pernas, M Saqr, O Viberg - Sustainability, 2021 - mdpi.com
Learning programming is a complex and challenging task for many students. It involves both
understanding theoretical concepts and acquiring practical skills. Hence, analyzing learners' …

Using institutional data to predict student course selections in higher education

I Ognjanovic, D Gasevic, S Dawson - The Internet and Higher Education, 2016 - Elsevier
The ability to predict what university course a student may select has important quality
assurance and economic imperatives. The capacity to determine future course load and …

What factors influence students satisfaction in massive open online courses? Findings from user-generated content using educational data mining

M Nilashi, RA Abumalloh, M Zibarzani… - Education and …, 2022 - Springer
Abstract Learners' satisfaction with Massive Open Online Courses (MOOCs) has been
evaluated through quantitative approaches focusing on survey-based methods in several …