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Clustering for improving educational process mining

https://doi.org/10.1145/2567574.2567604
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-642-19345-3openalex-snapshot
Process Mining: Discovery, Conformance and Enhancement of Business Processes
inferredcites →https://doi.org/10.1007/978-3-642-28255-3_17openalex-snapshot
Finding Learning Paths Using Petri Nets Modeling Applicable to E-Learning Platforms
inferredcites →https://doi.org/10.1007/978-3-642-30171-1_4openalex-snapshot
Exploiting Learner Models Using Data Mining for E-Learning: A Rule Based Approach
inferredcites →https://doi.org/10.1016/c2009-0-19715-5openalex-snapshot
Data Mining: Practical Machine Learning Tools and Techniques
inferredcites →https://doi.org/10.1016/j.compedu.2009.05.003openalex-snapshot
Applying Web usage mining for personalizing hyperlinks in Web-based adaptive educational systems
inferredcites →https://doi.org/10.1016/j.compedu.2013.06.009openalex-snapshot
Predicting students' final performance from participation in on-line discussion forums
inferredcites →https://doi.org/10.1109/ictke.2012.6408559openalex-snapshot
Heuristic mining: Adaptive process simplification in education
inferredcites →https://doi.org/10.1109/ictke.2012.6408562openalex-snapshot
Bottleneck mining and Petri net simulation in education situations
inferredcites →https://doi.org/10.1109/isda.2009.159openalex-snapshot
From Local Patterns to Global Models: Towards Domain Driven Educational Process Mining
inferredcites →https://doi.org/10.1109/tkde.2008.138openalex-snapshot
Clustering and Sequential Pattern Mining of Online Collaborative Learning Data
inferredcites →https://doi.org/10.1145/2330601.2330661openalex-snapshot
Learning analytics and educational data mining
inferredcites →https://doi.org/10.4324/9780203813799-13openalex-snapshot
Metacognition and Self-Regulated Learning in Student-Centered Learning Environments

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Modeling NAEP Test-Taking Behavior Using Educational Process Analysis
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EDUCATIONAL PROCESS MINING
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Educational Process Intelligence: A Process Mining Approach and Model Analysis
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Learning Analytics: The Role of Information Technology for Educational Process Innovation
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Recommending Insightful Drill-Downs Based on Learning Processes for Learning Analytics Dashboards
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Student Action Prediction for Automatic Tutoring for Procedural Training in 3D Virtual Environments
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Toward a New Generation of Log Pre-processing Methods for Process Mining
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A Trusted Learning Analytics Dashboard for Displaying OER
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Towards Using Local Process Mining to Analyse Learning Behavior Pattern
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Enhanced binary genetic algorithm as a feature selection to predict student performance
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Using process mining for Git log analysis of projects in a software development course
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Prediction of an educational institute learning environment using machine learning and data mining
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Evidence-driven appraisal of students’ careers using process mining: a case study
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Principal Component Clustered Factors for Determining Study Performance in Computer Programming Class
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Process mining for self-regulated learning assessment in e-learning
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Systematic Review and Analysis of EDM for Predicting the Academic Performance of Students
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Making kernel-based vector quantization robust and effective for incomplete educational data clustering
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Predicting students’ academic performance based on early career behaviors: a process-aware approach
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Foreword
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Interdisciplinary frontiers: computer-based process data analysis in educational measurement
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Performance Prediction in Online Discussion Forum: state-of-the-art and comparative analysis
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Persona Mining Using Process Mining and Unsupervised Machine-Learning
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Feature selection for clustering online learners
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Applying Process Discovery to Cybersecurity Training: An Experience Report
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Mining Educational Data to Analyze Students' Behavior and Performance
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Process mining application for discovering student learning paths
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Clustering students’ online behavior and relation with academic performance
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Data mining approach based on clustering and association rules applicable to different fields
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Data Mining for Student Assessment in e-Leaming: A Survey
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A Semantic Web Based Architecture for Assessment Analytics
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Semantic Data Engineering for Intelligent Educational Learning Systems through Process Mining
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Usefulness of Rubric in Assessing Writing Skills Using Clustering
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Using Machine Learning to Explore the Relation Between Student Engagement and Student Performance
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Self-organizing map clustering method for the analysis of e-learning activities
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A robust and effective algorithmic framework for incomplete educational data clustering
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A Process Mining Approach In Discovering Processes And Social Networks In My.Eskwela
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A Practical Model for Educators to Predict Student Performance in K-12 Education using Machine Learning
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Predicting Student Actions in a Procedural Training Environment
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Evaluation of Recommended Learning Paths Using Process Mining and Log Skeletons: Conceptualization and Insight into an Online Mathematics Course
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Connecting the dots – A literature review on learning analytics indicators from a learning design perspective
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Process Mining Analysis of Puzzle-Based Cybersecurity Training
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Curriculum Mining Analysis Using Clustering-Based Process Mining
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Interaction and Achievement in Online Synchronous Distance Education: Is More Always Better?
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SUPPORTING INSTRUCTORS IN ANALYZING STUDENT LOGS FROM VIRTUAL LEARNING ENVIRONMENTS
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Application of Data Mining and Process Mining approaches for improving e-Learning Processes
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Identifying academically vulnerable learners in first-year science programmes at a South African higher-education institution
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Using HeuristicsMiner to Analyze Problem-Solving Processes
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Mining student at risk in higher education using predictive models
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Propuesta de un Modelo de Comportamiento Colectivo de Estudiantes para un Sistema Inteligente de Tutoría dirigido al Entrenamiento Procedimental
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Process Mining Methodology for Digital Processes under Smart Campus Concept
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Preliminaries
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Reviewing Process Mining Applications and Techniques in Education
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Moodle Predicta: A Data Mining Tool for Student Follow Up
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Process Mining Combined with Expert Feature Engineering to Predict Efficient Use of Time on High-Stakes Assessments
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Using demographics to understand better the students? behavior, improving the performance prediction in online courses
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Classification and Regression Trees (CART) for Predictive Modeling in Blended Learning
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Discovering learning processes using Inductive Miner: A case study with Learning Management Systems (LMSs)
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An Integrated Learning Analytics Approach for Virtual Vocational Training Centers
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