Analyzing the Views of Teachers and Prospective Teachers on Information and Communication Technology via Descriptive Data Mining

Year 2019, , 314 - 329, 15.07.2019

Ozge Can Aran Ahmet Selman Bozkir , Bilge Gok , Esed Yagci

https://doi.org/10.21449/ijate.537877

Cited By: 3

Abstract

This study aims to determine the overt and covert patterns that teachers’ and prospective teachers’ views on the use of information and communication technology (ICT) instruments contain by using the method of data mining. The study group was composed of 192 prospective teachers attending a state university in Ankara, Turkey and 101 teachers working in Ankara-all of whom took part in the study on the basis of volunteering. Teachers’ and prospective teachers’ views were obtained by means of a scale. Clustering and association rules - algorithms for data mining - were applied to the data collected, and thus the frequently held patterns for teachers’ and prospective teachers’ views on ICT instruments were found. Consequently, cluster analysis suggested that prospective teachers considered themselves more competent than teachers in terms of computer skills but that teachers were the group having the most positive views. In addition to this, the results of association rules analysis indicated that the prospective teachers and teachers held the opinion that ICT instruments added variety to the teaching-learning process and ensured students’ focusing their attention on lessons, also stated that using ICT instruments would increase students’ participation in classes.

Keywords

Communication technology, Data mining, Teachers, Prospective teachers, Clustering

Analyzing the Views of Teachers and Prospective Teachers on Information and Communication Technology via Descriptive Data Mining

Abstract

This
study aims to determine the overt and covert patterns that teachers’ and
prospective teachers’ views on the use of information and communication
technology (ICT) instruments contain by using the method of data mining. The
study group was composed of 192 prospective teachers attending a state
university in Ankara, Turkey and 101 teachers working in Ankara-all of whom
took part in the study on the basis of volunteering. Teachers’ and prospective
teachers’ views were obtained by means of a scale. Clustering and association
rules - algorithms for data mining - were applied to the data collected, and
thus the frequently held patterns for teachers’ and prospective teachers’ views
on ICT instruments were found. Consequently, cluster analysis suggested that
prospective teachers considered themselves more competent than teachers in
terms of computer skills but that teachers were the group having the most
positive views. In addition to this, the results of association rules analysis
indicated that the prospective teachers and teachers held the opinion that ICT
instruments added variety to the teaching-learning process and ensured
students’ focusing their attention on lessons, also stated that using ICT
instruments would increase students’ participation in classes.

Keywords

Communication technology, Data mining, Teachers, Prospective teachers, Clustering

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