ANYWHERE AND ANYTIME: EVALUATING STUDENTS' BEHAVIORS IN SCIENCE WEB BASED LEARNING ENVIRONMENT USING LOG FILE ANALYSIS

Galit Ben-Zadok
Knowledge Technology Lab
School of Education
Tel Aviv University and
The Center for Educational Technology
Israel

Moshe Leiba
Knowledge Technology Lab
School of Education
Tel Aviv University
Israel

Rafi Nachmias
Knowledge Technology Lab
School of Education
Tel Aviv University
Israel

Rachel Mintz
The Center for Educational Technology
Israel

The main purpose of this research is to examine the learning processes of elementary school students in science web-based learning environment — at school and at home. To this end, the log files of the learning environment and data mining tools and techniques were used. Results suggest that the school-home gap is starting to fade away (learning wise) and a school-home learning continuum can be established. Part of the learning can be transferred to after school hours and can be evaluated similarly by means of data mining tools. Results also suggest that there are differences between learning at home versus learning at school across ages (such as duration of the learning and pace). Our future work will focus on gathering the learning variables and employing data mining techniques in order to find learning patterns at home and at school across ages.

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