The study described in this article investigated how differences in cognitive style and online search experience influence the search performance and navigational pattern of individuals utilizing a university World Wide Web (WWW) site. Forty-eight undergraduate students with diverse academic backgrounds participated in the study. On the basis of cognitive style and prior experience with online database search, the participants were assigned to 1 of the following groups: (a) field-dependent (FD) with little or no online search experience, (b) FD with substantial online search experience, (c) field-independent (FI) with little or no online search experience, and (d) FI with substantial online search experience. It was found that cognitive style influenced search time, whereas online search experience affected navigational style, such as jumps and layer traversal. Cognitive style and online search experience also interacted to influence search performance and navigational style. FDs with little or no online search experience navigated the WWW in a fairly linear mode, using embedded links frequently. They also tended to visit more nodes and used “Home ” more frequently than the rest. The results imply that as FD searchers gain more online search experience, their navigational style and search performance change and become comparable to that of FDs. Based on these findings, some suggestions are made to improve the WWW interface and WWW user training programs. 1.

Search engines are very popular tools for collecting information from distributed resources. They provide not only search facilities, but they also offer directories for users to browse content divided into groups. In this paper, we’ve adopted an individual differences approach to explore user’s attitudes towards various interface features provided by existing Web directories. Among a variety of individual differences, cognitive style is a particularly important characteristic that influences the effectiveness of information seeking. Empirical results indicate that users ’ cognitive styles influence their reactions to the organization of subject categories, presentation of the results, and screen layout. We developed a set of design guidelines on the basis of these results, and propose a flexible interface that adopts these guidelines to accommodate the preferences of different cognitive style groups.

With vigorous development of the Internet, e-learning system has become more and more popular. Sharable Content Object Reference Model (SCORM) 2004 provides the Sequencing and Navigation (SN) Specification to define the course sequencing behavior, control the sequencing, selecting and delivering of course, and organize the content into a hierarchical structure, namely Activity Tree. Therefore, how to provide customized course according to individual learning characteristics and capabilities, and how to create, represent and maintain the activity tree with appropriate associated sequencing definition for different learners become two important issues. However, it is almost impossible to design personalized learning activities trees for each learner manually. The information of learning behavior, called learning portfolio, can help teacher understand the reason why a learner got high or low grade. Thus, in this paper, we propose a Learning Portfolio Mining (LPM) Approach including four phases: 1. User Model Definition Phase: define the learner profile based upon existing articles and pedagogical theory. 2. Learning Pattern Extraction Phase: apply sequential pattern mining technique to extract the maximal frequent learning patterns from the learning sequence, transform original learning sequence into a bit vector, and then use distance based clustering approach to group learners with good learning performance into several clusters.

This study investigates how users ’ cognitive and affective characteristics influence the navigational and search behaviors on the Web among experienced Web users. Sixty-seven undergraduate students participated in the study. Two standardized tests and a questionnaire were used to collect information on the participants’ cognitive style, problem-solving style, and demographics. Factor analysis was performed on the scores from the two standardized tests (Group Embedded Figures Test and Problem Solving Inventory), and extracted two user factors (Focus Control and Emotion Control). The Focus Control factor seemed to influence users’ navigational behaviors, such as the use of links and back buttons, whereas the Emotion Control factor affected search behaviors including keyword searching, and also search performance measured by precision and recall.

Environmental spatial abilities are involved in everyday tasks such as finding one’s way in the environment and learning the layout of a new environment. Self-report measures of environmental abilities, e.g., asking people to rate their ‘‘sense of direction (SOD),’ ’ have been found to predict objective measures of these abilities quite highly. In this study, we developed a standardized self-report scale of environmental spatial ability, the Santa Barbara Sense of Direction Scale (SBSOD). The scale proved to be internally consistent and had good test–retest reliability. A series of four validity studies examined its relation to measures of spatial updating and acquisition of spatial knowledge at different scales and acquired from different learning experiences. These studies suggested that the SBSOD is related to tasks that require one to update location in space as a result of self-motion. It is more highly correlated with tests of spatial knowledge that involve orienting oneself within the environment than with tests that involve estimating distances or drawing maps. Self-report SOD is also somewhat more highly correlated with measures of spatial knowledge acquired from direct experience in the environment than with measures of knowledge acquired from maps, video, or virtual environments (VE).