Investigating attributes affecting the performance of WBI users

Numerous research studies have explored the effect of hypermedia on learners' performance using Web Based Instruction (WBI). A learner's performance is determined by their varying skills and abilities as well as various differences such as gender, cognitive style and prior knowledge. In this paper, we investigate how differences between individuals influenced learner's performance using a hypermedia system to accommodate an individual's preferences. The effect of learning performance is investigated to explore relationships between measurement attributes including gain scores (post-test minus pre-test), number of pages visited in a WBI program, and time spent on such pages. A data mining approach was used to analyze the results by comparing two clustering algorithms (K-Means and Hierarchical) with two different numbers of clusters. Individual differences had a significant impact on learner behavior in our WBI program. Additionally, we found that the relationship between attributes that measure performance played an influential role in exploring performance level; the relationship between such attributes induced rules in measuring level of a learners' performance.

[1]  Ling-Hsiu Chen,et al.  Web-based learning programs: Use by learners with various cognitive styles , 2010, Comput. Educ..

[2]  C. A. Moore,et al.  Field-Dependent and Field-Independent Cognitive Styles and Their Educational Implications , 1977 .

[3]  Nigel Ford,et al.  Individual differences, hypermedia navigation, and learning: an empirical study , 2000 .

[4]  HölscherChristoph,et al.  Web search behavior of Internet experts and newbies , 2000 .

[5]  A. H. Littlejohn,et al.  Improving continuing professional development in the use of ICT , 2002, J. Comput. Assist. Learn..

[6]  N. Ford,et al.  COGNITIVE STYLES AND SEARCHING , 1994 .

[7]  Robert D. Macredie,et al.  Navigation in hypermedia learning systems: experts vs. novices , 2006, Comput. Hum. Behav..

[8]  Margaret M. Burnett,et al.  Effectiveness of end-user debugging software features: are there gender issues? , 2005, CHI.

[9]  M. Chi,et al.  Gender Differences in Patterns of Searching the Web , 2003 .

[10]  Sara Hennessy,et al.  Incorporating Internet resources into classroom practice: pedagogical perspectives and strategies of secondary-school subject teachers , 2005, Comput. Educ..

[11]  Adrian E. Raftery,et al.  How Many Clusters? Which Clustering Method? Answers Via Model-Based Cluster Analysis , 1998, Comput. J..

[12]  Christoph Hölscher,et al.  Web search behavior of Internet experts and newbies , 2000, Comput. Networks.

[13]  Arnold Depickere,et al.  What affect student cognitive style in the development of hypermedia learning system? , 2005, Comput. Educ..

[14]  Michael Workman,et al.  Performance and perceived effectiveness in computer-based and computer-aided education: do cognitive styles make a difference? , 2004, Comput. Hum. Behav..

[15]  Phyllis Schumacher,et al.  Gender, Internet and computer attitudes and experiences , 2001, Comput. Hum. Behav..

[16]  Kyung-Sun Kim,et al.  Implications of User Characteristics in Information Seeking on the World Wide Web , 2001, Int. J. Hum. Comput. Interact..

[17]  Mo Wang,et al.  Building An Online Purchasing Behavior Analytical System With Neural Network , 2002 .

[18]  Fethi Calisir,et al.  Influence of text structure and prior knowledge of the learner on reading comprehension, browsing and perceived control , 2003, Comput. Hum. Behav..

[19]  J. Leon Zhao,et al.  Automatic discovery of similarity relationships through Web mining , 2003, Decis. Support Syst..

[20]  Xiaohui Liu,et al.  An Integrated Approach for Modeling Learning Patterns of Students in Web-Based Instruction: A Cognitive Style Perspective , 2008, TCHI.

[21]  Robert D. Macredie,et al.  Web-based interaction: A review of three important human factors , 2010, Int. J. Inf. Manag..

[22]  D. Goodenough.  The role of individual differences in field dependence as a factor in learning and memory. , 1975, Psychological bulletin.

[23]  Wilhelmina C. Savenye,et al.  Effects of learner control, advisement, and prior knowledge on young students' learning in a hypertext environment , 1994 .

[24]  Rosemary J. Stevenson,et al.  Effects of Text Structure and Prior Knowledge of the Learner on Navigation in Hypertext , 1998, Hum. Factors.

[25]  Robert D. Macredie,et al.  Cognitive styles and hypermedia navigation: Development of a learning model , 2002, J. Assoc. Inf. Sci. Technol..

[26]  Ian H. Witten,et al.  Data mining: practical machine learning tools and techniques, 3rd Edition , 1999 .

[27]  Hung-Ju Lin,et al.  Discovering Learning Pattern in Different Cognitive Style of Learners , 2008, 2008 Third International Conference on Convergence and Hybrid Information Technology.

[28]  Ian Witten,et al.  Data Mining , 2000 .

[29]  Jean Underwood,et al.  Cognitive style, hypermedia navigation and learning , 2005, Comput. Educ..

[30]  Xiaohui Liu,et al.  Investigation of the Use of Navigation Tools in Web-Based Learning: A Data Mining Approach , 2008, Int. J. Hum. Comput. Interact..

[31]  David M. Moore,et al.  The Effect of Navigation Tools on Learners' Achievement and Attitude in a Hypermedia Environment , 1999 .

[32]  Minjuan Wang,et al.  Designing online courses that effectively engage learners from diverse cultural backgrounds , 2007, Br. J. Educ. Technol..

[33]  Cynthia J. Atman,et al.  Concept maps for engineering education: a cognitively motivated tool supporting varied assessment functions , 2000, IEEE Trans. Educ..

[34]  Jamshid Beheshti,et al.  Gender differences in collaborative Web searching behavior: an elementary school study , 2002, Inf. Process. Manag..

[35]  Richard E. Mayer,et al.  The effects of graphic organizers giving cues to the structure of a hypertext document on users' navigation strategies and performance , 2002, Int. J. Hum. Comput. Stud..

[36]  Anil K. Jain,et al.  Data clustering: a review , 1999, CSUR.

[37]  Xiaohui Liu,et al.  Mining students' behavior in web-based learning programs , 2009, Expert Syst. Appl..

[38]  Michael L. Gargano,et al.  Data mining - a powerful information creating tool , 1999, OCLC Syst. Serv..

[39]  Stefano Lodi.  Data clustering I , 2009 .

[40]  Robert D. Macredie,et al.  Hypermedia learning and prior knowledge: domain expertise vs. system expertise , 2005, J. Comput. Assist. Learn..

[41]  Barbara M. Wildemuth,et al.  The effects of domain knowledge on search tactic formulation , 2004, J. Assoc. Inf. Sci. Technol..

[42]  Heikki Mannila,et al.  Principles of Data Mining , 2001, Undergraduate Topics in Computer Science.