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Pregled bibliografske jedinice broj: 521635

Learning Styles and Navigation Patterns in Web-Based Education


Nakić, Jelena; Marangunić, Nikola; Granić, Andrina
Learning Styles and Navigation Patterns in Web-Based Education // Lecture Notes in Computer Science, 6768 (2011), 587-596 doi:10.1007/978-3-642-21657-2_63 (međunarodna recenzija, članak, znanstveni)


Naslov
Learning Styles and Navigation Patterns in Web-Based Education

Autori
Nakić, Jelena ; Marangunić, Nikola ; Granić, Andrina

Izvornik
Lecture Notes in Computer Science (0302-9743) 6768 (2011); 587-596

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Learning styles; learning behaviour; navigation patterns; web based environment; empirical study

Sažetak
Researchers agree that it is possible to diagnose student’s learning style and that learners with a dominant preference for certain learning style may have difficulties in knowledge acquisition in conditions where teaching strategy is not compatible with it. This paper presents an experimental work conducted in order to determine if students with different learning styles have different navigational needs while using web-based learning environment. Correlations between learning styles and students’ learning performance are also observed and discussed. A group of 102 graduate and postgraduate students were involved in the study. Learning styles according to Felder-Silverman learning style model have been explored in the context of an e-learning course delivered through a Learning Management System. The main results show that the course supports global learners to some extent. The methods for meeting the needs of sequential learners are proposed.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Projekt / tema
177-0361994-1998 - Upotrebljivost i prilagodljivost sučelja inteligentnih autorskih ljuski (Andrina Granić, )

Ustanove
Prirodoslovno-matematički fakultet, Split

Časopis indeksira:


  • Scopus


Uključenost u ostale bibliografske baze podataka:


  • Compendex (EI Village)
  • INSPEC
  • MathSciNet
  • Zentrallblatt für Mathematik/Mathematical Abstracts
  • SpringerLink


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