Adaptive Tutoring System User Preferences: Does Gender Matter?

The adaptive tutoring system is one of the applications in teaching and learning processes, providing worldwide accessibility and all-day availability. Apparently, studies on user preference across gender for adaptive tutoring systems remain scarce among university users in Malaysia. With the aim of describing the differences between genders in user preferences for the method of gaining information, online games, online movies, online music, pictures, as well as colors of the adaptive tutoring system, this paper used quantitative methods through data gathering for finding the results of this study. Sixty-eight respondents were chosen from among academicians, administrative staff and students of a public university in Malaysia. Descriptive analysis of the data shows that there exists a pattern of different preferences for adaptive tutoring systems across gender. This paper provides data supporting the need to design different interfaces for male and female users.

[1]  L. Porat Interlibrary loans and academic research : the differences between users and non-users and factors affecting satisfaction with outcomes , 2008 .

[2]  Peter Brusilovsky,et al.  Adaptive Hypermedia , 2001, User Modeling and User-Adapted Interaction.

[3]  Golnessa Galyani Moghaddam,et al.  The use of scholarly electronic journals at the Indian Institute of Science: a case study in India , 2008 .

[4]  Johannes Tramper,et al.  A web‐based adaptive tutor to teach PCR primer design , 2012 .

[5]  R. Zaboli,et al.  The Relationship Between Learning Style Preferences and Gender, Educational Major and Status in First Year Medical Students: A Survey Study From Iran , 2014, Iranian Red Crescent medical journal.

[6]  Alfred Kobsa,et al.  Personalised hypermedia presentation techniques for improving online customer relationships , 2001, The Knowledge Engineering Review.

[7]  KUNYANUTH KULARBPHETTONG AN ADAPTIVE WEB-BASED INTELLIGENT TUTORING USING MASTERY LEARNING AND LOGISTIC REGRESSION TECHNIQUES , 2014 .

[8]  Andy P. Field,et al.  Discovering Statistics Using SPSS , 2000 .

[9]  K. C. Chu Gender reactions to games for learning among fifth and eighth graders , 2004 .

[10]  David McLean,et al.  An adaptation algorithm for an intelligent natural language tutoring system , 2014, Comput. Educ..

[11]  Andy Field,et al.  Discovering statistics using SPSS, 2nd ed. , 2005 .

[12]  Sébastien George,et al.  Development of an assistance environment for tutors based on a co-adaptive design approach , 2012, Behav. Inf. Technol..

[13]  D. Gupta,et al.  Information about Services and Information Resources on Websites of Selected Libraries in Rajasthan: A Study , 2012 .

[14]  Giuliano Gaia,et al.  Gender Issues in HCI Design for Web Access , 2008 .

[15]  Thompson S. H. Teo,et al.  Gender differences in internet usage and task preferences , 2000, Behav. Inf. Technol..

[16]  S. DiCarlo,et al.  Gender Differences In Learning Style Preference Among Undergraduate Physiology Students , 2006, Advances in physiology education.

[17]  Nor Azan Mat Zin,et al.  Classifying modality learning styles based on Production-Fuzzy Rules , 2011, 2011 International Conference on Pattern Analysis and Intelligence Robotics.

[18]  Carlos Delgado Kloos,et al.  An adaptive and innovative question-driven competition-based intelligent tutoring system for learning , 2012, Expert Syst. Appl..