Investigation of the Use of Navigation Tools in Web-Based Learning: A Data Mining Approach

Web-based learning is widespread in educational settings. The popularity of Web-based learning is in great measure because of its flexibility. Multiple navigation tools provided some of this flexibility. Different navigation tools offer different functions. Therefore, it is important to understand how the navigation tools are used by learners with different backgrounds, knowledge, and skills. This article presents two empirical studies in which data-mining approaches were used to analyze learners' navigation behavior. The results indicate that prior knowledge and subject content are two potential factors influencing the use of navigation tools. In addition, the lack of appropriate use of navigation tools may adversely influence learning performance. The results have been integrated into a model that can help designers develop Web-based learning programs and other Web-based applications that can be tailored to learners' needs.

[1]  Sherry Y. Chen.  Evaluating the Learning Effectiveness of Using Web-Based Instruction: An Individual Differences Approach , 2005, Int. J. Inf. Commun. Technol. Educ..

[2]  Ron Chi-Wai Kwok,et al.  Remote learning technologies: effectiveness of hypertext and GSS , 1999, Decis. Support Syst..

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

[4]  Stephania Padovani,et al.  Balancing search and retrieval in hypertext: context-specific trade-offs in navigational tool use , 2003, Int. J. Hum. Comput. Stud..

[5]  Thomas C. Reeves,et al.  Pseudoscience in Computer-Based Instruction: The Case of Learner Control Research. , 1993 .

[6]  J. Novak,et al.  Educational Psychology: A Cognitive View , 1969 .

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

[8]  Tzu-Chuen Lu,et al.  Mining association rules procedure to support on-line recommendation by customers and products fragmentation , 2001, Expert Syst. Appl..

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

[10]  Sally Jo Cunningham,et al.  Market basket analysis of library circulation data , 1999, ICONIP'99. ANZIIS'99 & ANNES'99 & ACNN'99. 6th International Conference on Neural Information Processing. Proceedings (Cat. No.99EX378).

[11]  Ethem Alpaydin,et al.  Soft vector quantization and the EM algorithm , 1998, Neural Networks.

[12]  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..

[13]  B. Mavis,et al.  Self-Efficacy and OSCE Performance Among Second Year Medical Students , 2001, Advances in health sciences education : theory and practice.

[14]  Yi-Fan Wang,et al.  A personalized recommender system for the cosmetic business , 2004, Expert Syst. Appl..

[15]  P. Stoica,et al.  Cyclic minimizers, majorization techniques, and the expectation-maximization algorithm: a refresher , 2004, IEEE Signal Process. Mag..

[16]  Xindong Wu,et al.  Mining Both Positive and Negative Association Rules , 2002, ICML.

[17]  Jean-François Rouet,et al.  Effects of content representation and readers' prior knowledge on the comprehension of hypertext , 2003, Int. J. Hum. Comput. Stud..

[18]  Chaomei Chen,et al.  Measuring the movement of a research paradigm , 2005, IS&T/SPIE Electronic Imaging.

[19]  Larissa Terpeluk Moss,et al.  Business Intelligence Roadmap: The Complete Project Lifecycle for Decision-Support Applications , 2003 .

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

[21]  Nigel Ford,et al.  Matching/mismatching revisited: an empirical study of learning and teaching styles , 2001, Br. J. Educ. Technol..

[22]  Jill H. Larkin,et al.  Learning From Electronic Texts: Effects of Interactive Overviews for Information Access , 1995 .

[23]  Robert D. Macredie,et al.  Cognitive Modeling of Student Learning in Web-Based Instructional Programs , 2004, Int. J. Hum. Comput. Interact..

[24]  P. Federico.  Learning styles and student attitudes toward various aspects of network-based instruction , 2000 .

[25]  Taek-Soo Kim,et al.  A statistical model for user preference , 2005, IEEE Transactions on Knowledge and Data Engineering.

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

[27]  John W. Tukey,et al.  Exploratory Data Analysis. , 1979 .

[28]  James R. Nolan,et al.  Computer Systems That Learn: an Empirical Study of the Effect of Noise on the Performance of Three Classification Methods Computer Systems That Learn: an Empirical Study of the Effect of Noise on the Performance of Three Classification Methods , 2022 .

[29]  R. Suganya,et al.  Data Mining Concepts and Techniques , 2010 .

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

[31]  Z. Dienes,et al.  A theory of implicit and explicit knowledge , 1999, Behavioral and Brain Sciences.

[32]  Hsinchun Chen,et al.  Browsing in hypertext: a cognitive study , 1992, IEEE Trans. Syst. Man Cybern..

[33]  Xiaohui Liu,et al.  The contribution of data mining to information science , 2004, J. Inf. Sci..

[34]  Judit Bar-Ilan,et al.  What do we know about links and linking? A framework for studying links in academic environments , 2005, Inf. Process. Manag..

[35]  Wendy T. Lucas,et al.  Mix and match: combining terms and operators for successful web searches , 2005 .

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

[37]  George W. Furnas,et al.  Navigation in electronic worlds: a CHI 97 workshop , 1997, SGCH.

[38]  David Enke,et al.  The adaptive selection of financial and economic variables for use with artificial neural networks , 2004, Neurocomputing.

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

[40]  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..

[41]  Xi Zhang,et al.  Top-down versus bottom-up learning in cognitive skill acquisition , 2004, Cognitive Systems Research.

[42]  Giovanni Semeraro,et al.  Discovering Student Models in e-Learning Systems , 2004, J. Univers. Comput. Sci..

[43]  Ramakrishnan Srikant,et al.  Fast algorithms for mining association rules , 1998, VLDB 1998.

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

[45]  Ronald R. Mourant,et al.  Human Factors Issues in Virtual Environments: A Review of the Literature , 1998, Presence.

[46]  Javier Corredor.  General and domain-specific influence of prior knowledge on setting of goals and content use in museum websites , 2006, Comput. Educ..

[47]  Karen Fullerton,et al.  The interactive effects of field dependence-independence and internet document manipulation style on student achievement from computer-based instruction , 2000 .

[48]  Ron Sun,et al.  From implicit skills to explicit knowledge: a bottom-up model of skill learning , 2001, Cogn. Sci..

[49]  Xiaohui Liu,et al.  Mining gene expression data , 2003 .

[50]  Dell Zhang,et al.  A novel Web usage mining approach for search engines , 2002, Comput. Networks.

[51]  Jinwoo Kim,et al.  Contextual Navigation Aids for Two World Wide Web Systems , 2000, Int. J. Hum. Comput. Interact..

[52]  Jakob Nielsen,et al.  Did poor usability kill e-commerce? , 2001 .

[53]  K. McGilly,et al.  Classroom lessons: Integrating cognitive theory and classroom practice. , 1994 .

[54]  Eric W. T. Ngai,et al.  Empirical examination of the adoption of WebCT using TAM , 2007, Comput. Educ..

[55]  Richard C. Anderson,et al.  Schemata as Scaffolding for the Representation of Information in Connected Discourse , 1977 .

[56]  Wendy T. Lucas,et al.  Mix and match: combining terms and operators for successful Web searches , 2005, Inf. Process. Manag..

[57]  A. van der Hulst,et al.  The effects of graphical overviews on knowledge acquisition in hypertext , 2002, J. Comput. Assist. Learn..

[58]  Hiller A. Spires,et al.  Prior knowledge activation: Inducing engagement with informational texts. , 1998 .

[59]  Pedro Larrañaga,et al.  An empirical comparison of four initialization methods for the K-Means algorithm , 1999, Pattern Recognit. Lett..

[60]  Rosemary J. Stevenson,et al.  Navigation in hyperspace: An evaluation of the effects of navigational tools and subject matter expertise on browsing and information retrieval in hypertext , 1998, Interact. Comput..

[61]  Shengrui Wang,et al.  A new validation index for determining the number of clusters in a data set , 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

[62]  Roger Debreceny,et al.  Interacting with hypertext: an experimental investigation of navigation tools , 2003, Electron. Commer. Res. Appl..