EDUCATIONAL PROCESS MINING

2016 ◽  
pp. 1-28 ◽  
Author(s):  
Cristóbal Romero ◽  
Rebeca Cerezo ◽  
Alejandro Bogarín ◽  
Miguel Sánchez-Santillán
Keyword(s):  
Process Mining ◽  
Educational Process

Educational Process Mining for Verifying Student Learning Paths in an Introductory Programming Course

2020 ◽  
Author(s):  
Eduardo Machado Real ◽  
Edson Pinheiro Pimentel ◽  
Lucas Vieira de Oliveira ◽  
Juliana Cristina Braga ◽  
Itana Stiubiener
Keyword(s):  
Student Learning ◽  
Process Mining ◽  
Educational Process ◽  
Introductory Programming ◽  
Learning Paths

Process Mining and Interaction Data Analytics in a Web-Based Multi-Tabletop Collaborative Learning and Teaching Environment

2018 ◽  
Vol 13 (4) ◽  
pp. 34-61 ◽  
Author(s):  
Parham Porouhan
Keyword(s):  
Process Mining ◽  
Participation Rate ◽  
Educational Process ◽  
Interaction Data ◽  
Time Intervals ◽  
Web Based ◽  
Learning And Teaching ◽  
Low Performance ◽  
Collaboration Process ◽  
Quantitative Indicators

This article builds on the intersection of educational process mining and the automatic analysis of student's collaborative interaction data previously collected from a web-based multi-tabletop learning environment. The main focus of the article was to analyze and interpret the data using several process mining techniques in order to increase the instructor's awareness (knowledge) about the students' collaboration process and group progress in terms of specific quantitative indicators as follows: participation (consisting of participation density, participation rate and participation dynamics metrics), interaction (consisting of interaction density and interaction dynamics metrics), time performance (including the number of time intervals between the activities as well as the duration of idle/inactive periods), similarity of tasks (or symmetry of actions) and division of labor (or symmetry of roles). The empirical findings showed that there are substantial differences between the high and low performance groups.

scholarly journals A Digital Twin Framework For Analysing Students’ Behaviours Using Educational Process Mining

2020 ◽  
Author(s):  
Ambrose Azeta ◽  
Frank Agono ◽  
Adesola Falade ◽  
ea Azeta ◽  
Vivian Nwaocha
Keyword(s):  
Process Model ◽  
Additional Data ◽  
Process Mining ◽  
Research Work ◽  
Educational Process ◽  
Management Systems ◽  
Virtual Model ◽  
Domain Experts ◽  
Digital Twin ◽  
Learning Patterns

Abstract Learning management systems (LMS) logs all actions taken on the system. These logs provide additional data about the activities and behaviour of users. Educational process mining techniques can use these data to unveil useful information to help instructors, educators and administrators accurately monitor, analyze and improve the online learning patterns of students. This research work presents a framework that uses process mining approach to analyse event log data generated within educational information systems, such as LMSs. In this framework, digital twin concept is employed to present a virtual representation of the students’ activities on the LMS. This framework also used inductive and fuzzy miner algorithms to produce a process model which was represented using virtual model of student’s learning patterns. This model was then evaluated for conformance with the activities observed in the log. The analysis conducted during this study showed the disparity between the behaviours of students that passed a particular course and students that failed the course. Findings also showed that the using the inductive and the fuzzy miner algorithms produced better fitness levels for the process model when compared with other previously used algorithms such as the heuristic miner and alpha miner algorithms. This paper concluded by recommending that the development of educational process mining specific tools can help domain experts better understand students’ learning patterns.

scholarly journals An Education Process Mining Framework: Unveiling Meaningful Information for Understanding Students’ Learning Behavior and Improving Teaching Quality

Information ◽  
2022 ◽  
Vol 13 (1) ◽  
pp. 29
Author(s):  
Hameed AlQaheri ◽  
Mrutyunjaya Panda
Keyword(s):  
Process Model ◽  
Process Mining ◽  
Application Programming Interface ◽  
Teaching Quality ◽  
Educational Process ◽  
Process Models ◽  
Learning Behavior ◽  
Classroom Activities ◽  
Application Programming ◽  
And Performance

This paper focuses on the study of automated process discovery using the Inductive visual Miner (IvM) and Directly Follows visual Miner (DFvM) algorithms to produce a valid process model for educational process mining in order to understand and predict the learning behavior of students. These models were evaluated on the publicly available xAPI (Experience API or Experience Application Programming Interface) dataset, which is an education dataset intended for tracking students’ classroom activities, participation in online communities, and performance. Experimental results with several performance measures show the effectiveness of the developed process models in helping experts to better understand students’ learning behavioral patterns.

scholarly journals Uma Revisão Sistemática da Literatura para Identificação de Lacunas de Pesquisa Relacionadas a Mineração de Processos Educacionais

RENOTE ◽  
2020 ◽  
Vol 18 (1) ◽  
Author(s):  
Lucielton Manoel da Silva ◽  
Rodrigo Lins Rodrigues ◽  
João Carlos Sedraz Silva ◽  
Gibran Medeiros Chaves de Vasconcelos Medeiros Chaves de Vasconcelos ◽  
Jorge Luis Cavalcanti Ramos
Keyword(s):  
Systematic Review ◽  
Process Mining ◽  
Learning Management Systems ◽  
Educational Process ◽  
Management Systems ◽  
Review Of Literature ◽  
Current State ◽  
Research Questions ◽  
Definition Of ◽  
State Of Art

This paper has as objective present the state of art of Educational Process Mining(EPM) and the application of yours results in Learning Management Systems (LMS), to do this was made a systematic review of literature(SRL), where through a well defined and objective process was selected articles to serve as base to the SRL. After the definition of the protocol and the realization of the methodological process we got nine articles that contributed satisfactorily to the responses of research questions related with the studied phenomenon, where was analisade many aspects of them to get informations about the current state of arte of EPM.

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