ANALYZING CONTEXTUAL DATA IN EDUCATIONAL CONTEXT: EDUCATIONAL DATA MINING AND LOGFILE ANALYSIS

March 13, 2022

In recent decades,attention has been focused on analyzing contextual data in educational contextusingeducational data mining (EDM), which is a process of employing data mining techniques to transform initial data collected througheducational systems into meaningful information. Logfile analysis entails analyzing behavioral processes, time-on-task, and the sequence of actions captured in logfiles and thusintroduces novel methods to the analysis of the instruction and learning process as well as toeducational assessment.This research paper aims to present the developmental trendsinEDM techniques and logfile analysis in educational context and their contribution to a better understanding of the contextual data, collected beyond the particular responsedata.We conducted a comparison analysis based on the Scopus database to show developmental trends by year and domain. According to the results, (1) research interestin this field has grown immensely in the last few years; that is, EDM is an emerging discipline. In addition, (2) EDM and logfile analysis examine earlier hidden informationto provide explanations ofstudents’ learning and testing behaviour from a new perspective, thus broadeningour understanding of students’ behavior, interests, learning processes, motivational aspects, and test results and the reason for their learning outcomes.

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