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The purpose of this paper is to investigate the effects of verbal-imagery cognitive styles of information searching behavior of users in using the Web.

In all, 44 participants were recruited for this study. The participants’ cognitive styles were measured by using Riding's Cognitive Style Analysis test. Three search tasks were designed based on Kim's search task definitions. Moreover, an individual lab session was arranged and then participants’ memos were analyzed using content analysis.

In all, 48 strategies in four categories of behaviors in searching the Web were identified. There were associations between users’ cognitive styles and their information searching behavior. The participants’ selection of the search initiation behaviors varied, so that imagers suffered from more varied initial behavior than verbalizers. The verbalizers tended to search in a narrow area, then broadening the area and following structured navigation and reading behavior to process information, while imagers tended to search in a general area, then narrowing down the search and adopting mixed navigational styles and mixed behaviors to process information. This study revealed that there was a difference in search performance of verbalizers and imagers descriptively, as verbalizers spent more time compared to imagers and imagers visited more nodes than verbalizers for the tasks completion. In addition, the task was an important variable influencing the search performance. Based on the key findings (search initiation behaviors, formulating search queries, navigational behaviors, information processing behaviors), a conceptual pattern of Web searching and cognitive styles is presented.

The study provides a new understanding of Web users’ information search behavior based on cognitive styles which contributes to the theoretical basis of Web search research. It also raises various questions within the context of user studies

The paper adopted a mixed approach in the area of information searching on the Web. A valuable contribution lies in the methods developed.

The purpose of this paper is to explore the relevance of three different types of styles measure for students' learning in a large introductory university course in psychology, using information technology to enhance teaching. The paper examines the relationship between styles, the usage of learning technology, and academic performance in this course.

Styles are measured using approaches to learning, thinking styles, and cognitive styles. The usage of the online material is measured by considering both time spent on the resources and the amount of material viewed (pages and hits) as well as tools used.

The findings are that the academic performance of students who used the online resources is significantly higher than those who either choose to not use the online materials at all or choose to use to the materials to a lesser extent. It is determined that the measure of approaches to learning (approaches and study skills inventory for students) is the stronger predictor for successful use of the material.

Using a reasonably sized sample in an ecologically valid context offered the opportunity to put styles into context and to consider the practical use of styles. This research is limited by the context and the particular sample. It is also difficult to completely exclude the fact that students using the extra material are generally more motivated and would have obtained better grades even without the resources.

This paper offers further evidence for the relations between different measures of styles and evaluates the effects that styles might have on usage of online material and academic performance.

The purpose of this study aims to identify the impact of verbal-visual cognitive styles on the level of satisfaction and behavior in the textual and content search of Google Images.

“Riding” cognitive style test and satisfaction questionnaire were used as data collection tools. Also, to collect data related to the image search behavior, the subjects’ transaction files were recorded using Camtasia software and then the files observed and reviewed. The research sample was 90 postgraduate students of Shiraz University.

The results showed that cognitive styles in interaction with the text-based and content-based search system of “Google Images” affected user’s satisfaction. Text-based image retrieval, in which vocabulary-based information needs were expressed, was more compatible with the verbal cognitive style and resulted in greater satisfaction. In contrast, in content-based image retrieval, where it was possible to express information needs in the form of images, users were more satisfied with the visual cognitive style. Verbal users performed more positively in text-based search and visual users in content-based search.

Considering the research gap, which has identified the performance of visual text-based and content-based systems in terms of satisfaction and cognitive style search behavior, the present study could be considered a small effort to promote science.

Human resource development practitioners and others do not appear to share a common underlying framework for, and understanding of, “learning style”. Argues that learning style is but one construct which, along with learning preferences and cognitive styles, may be included under the umbrella term “personal style”. Reviews each aspect of the suggested personal style framework and considers its relationship to learning performance at the reaction, learning, behaviour and results levels. Describes the instruments which may be used for profiling personal style. Suggests that personal styles profiling is of value to HRD practitioners because it may enable them to: identify their own styles; become aware of any bias or imbalance in the training and learning methods which they employ; design and develop learning events which accommodate, or at least acknowledge, the personal styles of the learners.

The elearn2work study of learning styles in the context of small to micro firms' (SMFs) and their perceived satisfaction has identified some important finding specific to e‐learning content design, delivery and international standards development.

The method of research adopts a deductive rather than an inductive approach via descriptive profiling and multivariate statistical analysis.

From the elearn2work study we have identified tentative findings that indicate e‐learning inequity for many SMF learners including employees and managers. From our research there is a clear gap between the profile of SMF learners, in the context of their learning style, and the typical content that is currently being designed for e‐learning provision. The sector is driven by analytic type educators/trainers who are frequently not a reflection of SMF learners.

It could be argued that many SMF workers are currently being socially excluded from e‐learning provision through pedagogy inequity when considering the lack of learning styles support in work‐based learning practice.

The study is an attempt to provide empirical elaboration, in the context of business and management education, for the “onion” and cognitive control models of cognitive style. Using a sample of 226 business and management undergraduates the research explored the relationship between cognitive style (measured using the cognitive style index and learning preference. Using principal components analysis, three categories of learning preference were discerned (active, reflective and individual). Correlational analysis and one way analysis of variance revealed statistically significant relationships between preferences for reflective and individual methods and cognitive style. The results provide some support for the “onion” and cognitive control models; the implications for business and management education, training and development are discussed.

The purpose of this paper is to explore the relationship between cognitive style, user personality and perceived multimedia quality.

This paper used Cognitive Style Analysis and an adapted Myers‐Briggs questionnaire to assess cognitive style and user personality respectively. It also used an adapted Quality of Perception metric to assess user‐perceived multimedia quality.

The research shows that personality type and user cognitive style affects information assimilation, self‐perceived achievement and student level of confidence.

This work suggests a number of practical recommendations to support the consideration of personality and cognitive style in preparation of educational multimedia material.

This paper provides consideration of personality and cognitive style, and the impact that they have on user multimedia perception.

Potential appraisal is the foremost indicator of employee's readiness to take higher responsibilities and used for multiple purposes in promotion, human resource development including training and development needs of employees. This study examines how construal level as psychological difference among employees (holistic–analytic differential in preference of thinking for various action domains among individuals) and meaningfulness of work is related to their readiness for development and responsibility. Combining meaning of work literature and cognitive psychology, the moderated mediation model is formed to examine the psychological process and social boundary conditions in the relationship between construal level and potential appraisal of employees.

Data were collected from 1,494 working executives and their 297 reporting managers across companies operating in an industrial cluster situated in India. The proposed model considered “experienced meaningfulness” as mediator and contextual factors of psychological empowerment and supervisor feedback as moderators.

Using multi-variate analysis and after controlling for industry type and experience, supervisor potential appraisal ratings of employees are found to be statistically related to construal level, and this relationship is found to be partially mediated by “experienced meaningfulness” of work. Further, contextual factors are found to be significant as moderators.

By bringing the subjective interpretation of different aspects of meaning of work from work design literature to examine its role in relationship between aspects of cognitive psychology and potential appraisal of employees, this study bridges the gap between cognitive psychology of development, meaning of work literature and HRD literature. Further implications for academic literature and managers are discussed.

Video-based learning (VBL) is gaining increased attention as an educational means in settings such as the flipped classroom and massive open online courses. The value of VBL has been recognized in a range of contexts due to the ability to extend opportunities for life-long education for all socio-economic levels, removing geographical boundaries while at the same time alleviating time constraints. Yet, despite the advantages featured by VBL and some promising early outcomes regarding its effectiveness, little is known about what influences individuals to adopt VBL systems and technologies. The paper aims to discuss this issue.

Building on behavioral and adoption-acceptance theories as well as on past empirical studies on e-learning, a conceptual model of VBL adoption is proposed. By analyzing survey data from 260 VBL learners, the conceptual model is put to test by means of structural equation modeling.

Outcomes indicate that performance expectancy (PE) and computer self-efficacy (CSEF) have a positive direct effect on behavioral intention to adopt VBL. In addition, effort expectancy (EE) and social influence positively impact PE, while CSEF is found to enhance EE and perceived behavioral control.

This study integrates several theoretical perspectives that are applied to adoption of novel information technologies and in addition builds on findings of past empirical research on learning technologies. In effect, the conceptual model along with outcomes provide an integrative perspective of adoption determinants.

Seeks to show that the software development process is based on the premise to provide an enhanced e‐learning environment by supporting individual learning styles and preferences through the use of emerging adaptive technologies that also enable performance evaluation in the context of meeting agreed learning outcomes.

The design methodology adopts a case study approach that follows the design and implementation of a learner management system.

Web‐based intelligent tutoring systems, aimed at compensating for the absence of a real world tutor have to date mostly concentrated on providing assistance in a particular subject domain and not focused on the problem of utilising content represented as learning objects across multi‐subject domains. This paper describes the creation of a non‐dictatorial tutoring system that has been developed at NTP Information Solutions Ltd. A visualisation tool has bee4n created called “learning navigator” to help learners to visualise the best path through assignable units extracted from a learning repository.

The system is currently able to suggest new paths that take into account learning styles through learner performance, learner previous experience and learning objectives. Future work will include extending this criterion to take into account further individual learning preferences.

The sharable content objects (SCOs) approach to the software solution extends the internationally recognised SCORM development standards. As a consequence the paper contributes to international e‐learning standards development but also extends current knowledge of the role of adaptive technologies in supporting learning styles and preferences.