Towards more efficient e-learning, intelligence and adapted teaching material

  • Janko Žufić University of Juraj Dobrila in Pula Department of Pre-School and Primary School Teaching I.M. Ronjgova 1, Pula, Croatia
  • Damir Kalpić University of Zagreb Faculty of Electrical Engineering and Computing Unska 3, Zagreb, Croatia
Keywords: adaptive teaching e-materials, structure of intelligence, most prominent intelligence factor, more efficient e-learning, 2-sigma problem

Abstract

This article presents results of a research project in which we attempted to determine the relationship between efficient E-learning and teaching materials adapted based on students’ structure of intelligence.

The project was conducted on approximately 500 students, 23 classes, nine elementary schools, with ten teachers of history, informatics and several licensed psychologists. E-teaching material was prepared for the subject of History for eight-grade students of elementary school.

Students were tested for the structure of intelligence, and based on their most prominent component, they were divided into groups, using teaching materials adapted to their most prominent intelligence component. The results have shown that use of the adapted teaching materials achieved 6-12% better results than E-materials not adapted to students’ structure of intelligence.

Author Biographies

Janko Žufić, University of Juraj Dobrila in Pula Department of Pre-School and Primary School Teaching I.M. Ronjgova 1, Pula, Croatia

Janko Zufic is Graduate engineer of Electrical Engineering, professor at the Department of Pre-School and Primary School Teaching, University of Juraj Dobrila in Pula and postgraduate student at the Faculty of Electrical Engineering and Computing, University of Zagreb, Croatia.

Address: I. M. Ronjgova 1, 52100 Pula Croatia

Phone: +385-52-377-548  fax:+385-52-377-550  

Damir Kalpić, University of Zagreb Faculty of Electrical Engineering and Computing Unska 3, Zagreb, Croatia

Damir Kalpic is full professor at the Department of Applied Computing, Faculty of Electrical Engineering and Computing, University of Zagreb,

Address: Croatia, Unska 3, 10000 Zagreb

Phone +385-1-6129-919;

Published
2010-12-14
Section
Articles