Evaluation of the online assessment test using process mining (Case Study: Intensive English Center)

Author

Aisa, Vinca ; Kurniati, Angelina Prima ; Yanuar Firdaus, A.W.

Author_Institution

Sch. of Comput., Telkom Univ., Bandung, Indonesia

fYear

2015

fDate

27-29 May 2015

Firstpage

472

Lastpage

477

Abstract

One process in e-learning is Online Assessment Test which is aimed to determine students´ understanding of the materials. Online Assessment Test is usually using Multiple Choice Questions (MCQ). Students are not always answer MCQ sequentially, so that each student can have navigational pattern, which can be different from the predefined navigational model. Different navigational patterns can result in different test performance too. This paper presents the process and result of implementing process mining to compare students answering patterns to the predetermined navigational model of MCQ in online assessment test. Process mining is being used to model the business process flow based on the event log of the information system. In this case, online assessment test is the business process and e-learning system is the information system being analyzed. The output of the process are the test marks, performance, students´ strength and weakness, and the analysis of navigational patterns compared to the predefined navigational model.

Keywords

business data processing; computer aided instruction; data mining; educational administrative data processing; information systems; MCQ; business process flow; e-learning system; information system; intensive English center; multiple choice questions; navigational pattern; online assessment test evaluation; process mining; student answering patterns; Analytical models; Data mining; Data models; Electronic learning; IEC; Navigation; e-learning; event log; online assessment test; process mining;

fLanguage

English

Publisher

ieee

Conference_Titel

Information and Communication Technology (ICoICT ), 2015 3rd International Conference on

Conference_Location

Nusa Dua

Type

conf

DOI

10.1109/ICoICT.2015.7231470

Filename

7231470