Clustering for improving educational process mining

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 used data from 84 undergraduate students who followed an online course using Moodle 2.0. We propose to group students firstly starting from data about Moodle's usage summary and/or the students' final marks in the course. Then, we propose to use data from Moodle's logs about each cluster/group of students separately in order to be able to obtain more specific and accurate models of students' behaviour. The results show that the fitness of the specific models is greater than the general model obtained using all the data, and the comprehensibility of the models can be also improved in some cases.

[1]  Kalina Yacef,et al.  Process Mining to Support Students' Collaborative Writing , 2010, EDM.

[2]  Susan M. Land,et al.  Metacognition and Self-Regulated Learning in Student-Centered Learning Environments , 2012 .

[3]  Dirk Frosch-Wilke,et al.  Exploiting Learner Models Using Data Mining for E-Learning: A Rule Based Approach , 2013 .

[4]  Ian H. Witten,et al.  Data mining: practical machine learning tools and techniques, 3rd Edition , 1999 .

[5]  อนิรุธ สืบสิงห์,et al.  Data Mining Practical Machine Learning Tools and Techniques , 2014 .

[6]  Mykola Pechenizkiy,et al.  Process Mining Online Assessment Data , 2009, EDM.

[7]  W. Premchaiswadi,et al.  Heuristic mining: Adaptive process simplification in education , 2012, 2012 Tenth International Conference on ICT and Knowledge Engineering.

[8]  Judy Kay,et al.  Clustering and Sequential Pattern Mining of Online Collaborative Learning Data , 2009, IEEE Transactions on Knowledge and Data Engineering.

[9]  W. Premchaiswadi,et al.  Bottleneck mining and Petri net simulation in education situations , 2012, 2012 Tenth International Conference on ICT and Knowledge Engineering.

[10]  Anikó Costa,et al.  Finding Learning Paths Using Petri Nets Modeling Applicable to E-Learning Platforms , 2012, DoCEIS.

[11]  Wil M. P. van der Aalst,et al.  Process Mining - Discovery, Conformance and Enhancement of Business Processes , 2011 .

[12]  Mykola Pechenizkiy,et al.  From Local Patterns to Global Models: Towards Domain Driven Educational Process Mining , 2009, 2009 Ninth International Conference on Intelligent Systems Design and Applications.

[13]  George Siemens,et al.  Learning analytics and educational data mining: towards communication and collaboration , 2012, LAK.

[14]  Sebastián Ventura,et al.  Predicting students' final performance from participation in on-line discussion forums , 2013, Comput. Educ..

[15]  Mykola Pechenizkiy,et al.  Process mining from educational data (Chapter 9) , 2011, EDM 2011.

[16]  Sebastián Ventura,et al.  Applying Web usage mining for personalizing hyperlinks in Web-based adaptive educational systems , 2009, Comput. Educ..

[17]  Taylor L. Booth,et al.  Computer Education , 1984, Computer.

[18]  Ian Witten,et al.  Data Mining , 2000 .