Designing Adaptive E-learning Environment using Individual Differences.

A Siddique; QS Durrani; HA Naqvi

Author(s)

A Siddique Department of Computer Science and Software Engineering, International Islamic University, Islamabad, Pakistan

QS Durrani GIFT University, Gujranwala, Pakistan

HA Naqvi Department of Computer Science and Software Engineering, International Islamic University, Islamabad, Pakistan

Abstract

Adaptive educational systems (AESs) aim at delivery of effective education through user modeling techniques. Adaptation effect is provided on the basis of individual differences incorporated into student model. Most of the existing AESs have utilized single source of adaptation predominantly learning preferences or learning styles. The impact of learning style based AESs on learning outcomes is still unclear. This study presented design of adaptive e-learning environment using multiple sources of personalization to improve learning levels of students. The empirical evaluation was conducted in real learning environment using control and experimental groups that's further consisted of subgroups, each representing different combination of parameters. The control subgroups were taught using traditional classroom environment whereas experimental subgroups through adaptive e-learning environment which imparted instruction in accordance to learning needs of learners. The results showed that experimental groups outperformed than control groups in terms of learning improvement.

Publication Details

Page(s) 101-109

DOI DOI not available

Published Journal: Pakistan Journal of Science, Volume: 69, Issue: 1, Year: 2017

Request the full text from PASTIC

References

Bajraktarevic , N., W.,Hall , and P.,Fullick, 2003.Incorporating Learning Styles in Hypermedia Environment: Empirical Evaluation,In Proceedings of the Workshop on Adapt. Hyp. Adapt. Web-Based Sys. Nottingham 41 -52

Brown , E.J.,Brailsford,Moore, 2009.Evaluating learning style personalization in adaptive systems: Quantitative methods and approaches,IEEE Trans. Learn. Tech 2 10 -22

Brusilovsky , P., 2004.Adaptive educational hypermedia: From generation to generation,Proceedings 4th Hellenic. Conf. Info. Comm. Tech. Edu 19 -33

Brusilovsky , P.,C. Peylo, 2003.Adaptive and intelligent web-based educational systems,Int. J. of Artiff. Intell. Edu. (IJAIED) 13 159 -172

Brusilovsky , P.,Millan, 2007.User models for adaptive hypermedia and adaptive educational systems,In The Adaptive Web; SpringerVerlag 3 -53

Ciloglugil , B.,M.M. Inceoglu, 2012.User modeling for adaptive e-learning systems,Int. Conf. Comp. Sci. Apps 550 -561

Deborah , L.J.,R.Baskaran,A . Kannan, 2014.Learning styles assessment and theoretical origin in an E-learning scenario: a survey,J. Artif. Intell. Rev 42 801 -819

Flores , R.,A. Faith. A.I.Fatih,A.A.Ismahan, 2012.The impact of adapting content for students with individual differences,J. Edu. Tech. Soci 15 251 -261

Graf , S.,N.S.Chen,S.J . Yang, 2009.Learning styles and cognitive traits-Their relationship and its benefits in web-based educational systems,J. Com. H. Behav 25 1280 -1289

Granic , A.,J . Nakic, 2010.Enhancing the learning experience: preliminary framework for user individual differences,Symp. Ausn. HCI. Usab 384 -399

Grimley , M.,R.Riding, 2009.Individual differences and web-based learning. Cognitive and emotional processes in web-based education: Integrating human factors and personalization; (New York), 1 -24

Hamada , M., 2012.Learning style model for e-learning systems,Int. Conf. Act. Med 186 -195

Mampadi , F., S.,Chen and G.,Ghinea, 2009.The effects of prior knowledge on the use of adaptive hypermedia learning systems,Int. Conf. HCI 156 -165

Markovic , S. and N.,Jovanovic, 2012.Learning style as a factor which affects the quality of e-learning,J. Artif. Intell. Rev 38 303 -312

Munzenmaier , C.,N.Rubin, 2013.Bloom's taxonomy: What's old is new again,The Elearning Guild. Santa Rosa 8 -25

Nakic , J.,A.Granic,V.Glavinic, 2015.Anatomy of student models in adaptive learning systems: A systematic literature review of individual differences from 2001 to 2013, 51 459 -489

Papanikolaou , K.A.,M.Grigoriadou,H.Kornilakis,G.D.Magoulas, 2003.Personalizing the interaction in a web-based educational hypermedia system: The case of INSPIRE,J. User Mod. User-Adapt. Int 13 213 -267

Popescu , E., C.,Badica,Moraret, 2010.Accommodating learning styles in an adaptive educational system,J. Informatica 34 451 -462

Rias , R.,H.B. Zaman, 2013.Understanding the role of prior knowledge in a multimedia learning application,Aus. J. Edu. Tech 29 537 -548

Surjono , H.D., 2011.The design of adaptive e-learning system based on student's learning styles,Int. J. Comp. Sci. IT 2 2350 -2353

Tsianos , N.,P.Germanakos,Z.Lekkas,C.Mourlas,G.Samaras, 2010.Working memory span and e-learning: The effect of personalization techniques on learners' performance,Int. Conf. User. Mod. Adapt. Perso 64 -74

Tsianos , N.,P.Germanakos,Z.Lekkas,C.Mourlas,G.Samaras and M. Belk, 2009.Working memory differences in e-learning environments: Optimization of learners' performance through personalization,Int. Conf. User. Mod. Adapt. Perso 385 -390

Yang , T.C.,G.J.Hwang,S.J.H.Yang, 2013.Development of an adaptive learning system with multiple perspectives based on students learning styles and cognitive styles,J. Edu. Tech. Soci 16 185 -200

Yarandi , M.,H.Jahankhani,A.R.H.Tawil, 2013.A personalized adaptive e-learning approach based on semantic web technology,J. Webology 10 110 -

Yavuz , A,C.S.Cardak,Com, 2012.Adaptive educational hypermedia accommodating learning styles: A content analysis of publications from 2000 to 2011, 58 835 -842