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Learning style as a factor which affects the quality of e-learning

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Abstract

With the aid of the Internet, many organizations and schools have adopted the idea of applying the e-learning system, which is considered as one of the most important services provided by the Internet. The purpose of this paper is to investigate the factors affecting the acceptance and use of e-learning system. There are a number of implicit and explicit frameworks designed to inform e-learning practice. Some of them suggest key components that influence the quality of the e-learning experience: technology, pedagogy, organizational context and creativity. Instructor feedback and student learning styles, significantly affect the perceived learning outcomes of e-learning students. Namely, quality of education will significantly be enhanced if instructors modify their teaching styles to accommodate the learning styles of all students in their classes. When the teacher creates the lesson plan, it is desirable that he or she puts as many activities as possible which will reflect different learning styles. Whereas, students have diverse backgrounds, abilities, and knowledge bases, teachers who are able to use various instructional strategies have been shown to be more effective than those who just use single strategies.

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References

  • Ayersman D, Minden A (1995) Individual differences, computers and instruction. Comput Human Behav 11(3-4): 371–390

    Article  Google Scholar 

  • Barbe W, Milone M (1980) Modality. Instructor 89(6): 44–46

    Google Scholar 

  • Benadi S (2004) Structuration Des Données Et Des Services Pour Le Téléenseignement. Phd. Thesis, Insa Lyon

  • Brophy JE (1999) Teaching educational practices series (Vol 1). International Academy of Education & International Bureau of Education. (www.ibe.unesco.org)

  • Brown S, Race P, Bull P, (Eds) Computer-assisted assessment in higher education. Kogan-Page, London , pp 7–20

  • Brusilovsky P, Peylo C (2001) Adaptive hypermedia user modeling and user-adapted interaction, vol 11. Kluwer, Dordrecht, pp 87–110

  • Buch K, Bartley S (2002) Learning style and training delivery mode preference. J Workplace Learn 14(1): 5–10

    Article  Google Scholar 

  • Chen S, Macredie R (2002) Cognitive styles and hypermedia navigation: development of learning model. J Am Soc Inform Sci Technol 53(1): 3–15

    Article  Google Scholar 

  • Coobs MJ, Alty JL (2004) Computer and people series. Academic Press, New York

    Google Scholar 

  • Davidson GV, Savenye WC, Orr KB (1992) How do learning styles relate to performance in a computer applications course. J Res Comput Educ 24(3): 348–358

    Google Scholar 

  • Drysdale MT, Ross JL, Shultz RA (2001) Cognitive learning styles and academic performance in 19 first-year university courses: successful students versus students at risk. J Educ Stud Placed Risk 6(3): 271–289

    Article  Google Scholar 

  • Dunn R (1996) How to implement and supervise a learning style program. ACSD, VA

    Google Scholar 

  • Edmonds EA (1981) A aptive Man-Computer Interfaces. In: Coombs MJ, Alty JL (eds) Computing skills and the User interface. Academic Press, London, pp 389–426

    Google Scholar 

  • Ehlers U (2004) Quality in e-learning. The learner as a key quality assurance category. Eur J Vocat Train 29: 3–15

    Google Scholar 

  • Eom S (2008) Strategies for enhancing the learning outcomes for web-based distance education students: further investigation of the relationships between motivation and learning outcomes. AIS SIG-ED IAIM 2008 Conference

  • Felder RM, Silverman LK (1988) Learning and teaching styles in engineering education. Eng Educ 78(7): 674–681

    Google Scholar 

  • Felder R (1993) Reaching the second tier: learning and teaching styles in college science education. J College Sci Teach 23(5): 286–290

    Google Scholar 

  • Felder RM (1996) Matters of styles. ASEE Prism 6(4): 18–23

    Google Scholar 

  • Fleming ND (2001) Teaching and learning styles: VARK strategies. N.D. Fleming, Christchurch

    Google Scholar 

  • Ford N, Chen S (2000) Individual differences, hypermedia navigation and learning: an empirical study. J Educ Multimed Hypermedia 9: 281–312

    Google Scholar 

  • Garrison DR, Anderson T (2003) E-learning in the 21st century: a framework for research and practice. Routledge, Abingdon

    Book  Google Scholar 

  • Gilbert J, Morton S, Rowley J (2007) E-Learning: the student experience. Brit J Educ Technol 38(4): 560–573

    Article  Google Scholar 

  • Gregorc AF (1982) Gregorc style delineator: development, technical and administration manual. Gregorc Associates, Columbia

    Google Scholar 

  • Grigoriadou M, Papanikolaou K, Kornilakis H, Magoulas G (2003) INSPIRE: an intelligent system for personalized instruction in a remote environment. User Modell User Adapt Interact 13(3): 213–267

    Article  Google Scholar 

  • Harvey J, Mogey N (1999) Pragmatic issues when integrating technology into the assessment of students. In: Brown S, Racel P, Bull J (Eds) (eds) Computer-Assisted Assessment in Higher Education. Kogan Page Ltd., London, pp 7–19

    Google Scholar 

  • Hawk TF, Shah AJ (2007) Using learning style instruments to enhance student learning, decision sciences. J Innov Educ 5(1): 1–19

    Google Scholar 

  • Honey P, Mumford A (1986) Using your learning styles. Honey Publications, Maidenhead

    Google Scholar 

  • Hong H, Kinshuk (2004) Adaptation to student learning styles in web based educational systems. In: Proceedings of ED-MEDIA 2004—world conference on educational multimedia, hypermedia & telecommunications, Lugano, Switzerland, pp 491–496

  • Imel S (2002) E-learning—trends and issues alert (report No-40). Washington, DC: Office of Educational Research and Improvement

  • Jain SK (1996) The effects of individual cognitive learning styles and troubleshooting experience on the development of mental models in teaching a database query language to novices (Doctoral dissertation, George Washington University, 1996). Dissertation Abstracts International, 56, 3414

  • Jochems W, Van Merrienboer J, Koper R (2003) Integrated e-learning: implications for pedagogy, technology and organisation. Routledge, Abingdon

    Google Scholar 

  • Jonassen DH, Grabowski B (1993) Individual differences and instruction. Comput Human Behav 11(3-4): 371–390

    Google Scholar 

  • Jovanovic N, Popovic R, Jovanovic Z (2009) WNetSim: a web-based computer network simulator. Int J Elect Eng Educ 46(4): 383–396

    Google Scholar 

  • Kolb A, Kolb D (2003) Experiential learning theory bibliography. Experience Based Learning Systems Inc., Cleveland

    Google Scholar 

  • Liaw SS, Huang HM (2007) Developing a collaborative e-learning system based on users’ perceptions. Lect Notes Comput Sci 4402: 751–759

    Article  Google Scholar 

  • Liaw SS (2008) Investigating students’ perceived satisfaction, behavioral intention, and effectiveness of e-learning: a case study of the Blackboard system. Comput Educ 51: 864–873

    Article  Google Scholar 

  • Lo JJ, Chan YCh, (2008) Relationships between user cognitive styles and browsing behaviors of an online learning web site. International conference on cyberworlds

  • Magoulas G, Papanikolaou K, Grigoriadou M (2003) Adaptive web-based learning: accommodating individual differences through system’s adaptation. Brit J Educ Technol 34(4). [Online] Available: http://www.dcs.bbk.ac.uk/~gmagoulas/bjet.pdf

  • Milosevic D, Brkovic M, Bjekic D, (2006) Designing lesson content in adaptive learning environments. iJET Int J Emerg Technol Learn. Available at: www.i-jet.org

  • Moore BR (1990) The relationship between curriculum and learner: music composition and learning style. J Res Music Educ 38(1): 24–38

    Article  Google Scholar 

  • Moore K, Aspden L (2004) Coping adapting, evolving: the student experience of e-learning. Update 3(4): 22–24

    Google Scholar 

  • Paechter M, Maier B, Macher D (2010) Students’ expectations of, and experiences in e-learning: their relation to learning achievements and course satisfaction. Comput Educ 54: 222–229

    Article  Google Scholar 

  • Parvez SM, Blank GD (2007) A pedagogical framework to integrate learning style into intelligent tutoring systems, JCSC 22, 3

  • Popescu E, Trigano P, Badica C (2007) Evaluation of a learning management system for adaptivity purposes, computing in the global information technology, ICCGI 2007

  • Rasmussen K, Davidson-Shivers G (1998) Hypermedia and Learning Styles: Can Performance Be Influenced?. J Educ Multimed Hypermed 7: 291–308

    Google Scholar 

  • Sadler-Smith E (1996) Learning styles and instructional design, innovations in education and training international, vol 33, pp 185–193

  • Sein MK, Robey D (1991) Learning style and the efficacy of computer training methods. Percep Motor Skills 72(1): 243–248

    Article  Google Scholar 

  • Wolf C (2007) Construction of an adaptive e-learning environment to address learning styles and an investigation of the effect of media choice. Phd. Thesis, Melbourne http://wwwis.win.tue.nl/asum99/carro/carro.html

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Correspondence to Suzana Marković.

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Marković, S., Jovanović, N. Learning style as a factor which affects the quality of e-learning. Artif Intell Rev 38, 303–312 (2012). https://doi.org/10.1007/s10462-011-9253-7

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