D 2014

HOW TO OBSERVE ONLINE LEARNER? THE NEW WAYS OF EDUCATIONAL DATA MINING

LUSTIGOVÁ, Zdena and Pavel BROM

Basic information

Original name

HOW TO OBSERVE ONLINE LEARNER? THE NEW WAYS OF EDUCATIONAL DATA MINING

Authors

LUSTIGOVÁ, Zdena and Pavel BROM

Edition

Antalya, Turkey, Proceedings of 5th International Conference on New Trends in Education iconte 2014, p. NESTRÁNKOVÁNO, 2014

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

50300 5.3 Education

Country of publisher

Turkey

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

electronic version available online

Organization unit

University College Prague – University of International Relations and Institute of Hospitality Management and Economics, Ltd.

Keywords in English

Educational data mining; remote laboratory; log files analysis; science education

Tags

International impact, Reviewed
Změněno: 27/2/2014 14:45, doc. RNDr. Zdena Lustigová, CSc.

Abstract

V originále

Data mining techniques in education and learning are still in their infancy. Even academic references in this area are limited, although some education-related publications are already beginning to pay attention to this new area and its research potential. Unluckily, the authors are mostly focused on developing data mining and text mining techniques and usually somewhat neglect educational content and intent. The present article describes findings within a medium-scale (N = 56) study, using log files from open remote laboratory at Charles University in Prague, Faculty of Mathematics and Physics, to observe secondary school students’ behaviour during their work in virtual environment. The simple data mining and text mining techniques were used to reveal individual user’s behavioural patterns, to detect disengagement, and to compare learning outcomes and student preferences. The results will be used mainly to improve remote laboratory systems’ adaptability to students’ requirements and capacities.