Using students’ learning style to create effective learning groups in MCSCL environments

Students have different ways for learning and processing information. Some students prefer learning through seeing while others prefer learning through listening; some students prefer doing activities while other prefer reflecting.Some students reason logically, while others reason intuitively, etc. Identifying the learning style of each student, and providing learning content based on these styles represents a good method to enhance the learning quality. However, there are no efforts onhow to detect the students’ learning styles in mobile computer supported collaborative learning (MCSCL) environments. We present in this paper new ways for automatically detecting the learning styles of students in MCSCL environments based on the learning style model of Felder-Silverman. The identified learning styles of students could be then stored and used at anytime toassign each one of them to his/her appropriate learning group

Learning styles: Individualizing computer‐based learning environments

In spite of its importance, learning style is a factor that has been largely ignored in the design of educational software. Two issues concerning a specific set of learning styles, described by Honey and Mumford (1986), are considered here. The first relates to measurement and validity. This is discussed in the context of a longitudinal study to test the predictive validity of the questionnaire items against various measures of academic performance, such as course choice and level of attainment in different subjects. The second issue looks at how the learning styles can be used in computer‐based learning environments. A re‐examination of the four learning styles (Activist, Pragmatist, Reflector and Theorist) suggests that they can usefully be characterized using two orthogonal dimensions. Using a limited number of pedagogical building blocks, this characterization has allowed the development of a teaching strategy suitable for each of the learning styles. Further work is discussed, which will use a multi‐strategy basic algebra tutor to assess the effect of matching teaching strategy to learning style

Profiling the educational value of computer games

There are currently a number of suggestions for educators to include computer games in formal teaching and learning contexts. Educational value is based on claims that games promote the development of complex learning. Very little research, however, has explored what features should be present in a computer game to make it valuable or conducive to learning. We present a list of required features for an educational game to be of value, informed by two studies, which integrated theories of Learning Environments and Learning Styles. A user survey showed that some requirements were typical of games in a particular genre, while other features were present across all genres. The paper concludes with a proposed framework of games and features within and across genres to assist in the design and selection of games for a given educational scenari

A comparison of structured and unstructured navigation through a CBT package

The advent of hypertext has opened up new possibilities in computer-based training. The design of courseware without any predetermined structure could make the designer's task easier, and allow greater flexibility for the trainee to structure the learning environment to suit their own learning style, This investigation was concerned with the exploration of performance differences in structured and unstructured training environments. In the structured condition, subjects encountered presequenced training and practice modules. For the unstructured condition, subjects determined their own sequence of modules. It was proposed that performance may be better in the unstructured condition. The findings indicate that this depends upon individual differences in cognitive style, some styles seemingly better at exploiting the unstructured learning environment than others

Investigating the potential of on-line 3D virtual environments to improve access to museums as both an informational and educational resource

New digital technological possibilities allow physical museum artefacts to be transferred into a virtual environment using 3D computer models with rich information content for educational purposes. However, although several museum websites have applied relevant educational theories to learning activities in these 3D environments, these alone are not enough to develop 3D museum environments without consideration of virtual visiting styles in the learning context. This research addresses the relationship between visiting styles and the design of 3D museum environments based on pedagogic approaches for learning efficacy. Relevant literature on the nature of web-based museum systems was reviewed. Three stages of primary research (a critical review, observations and interviews) were also conducted in this study. The critical review examined the use of 3D technologies in current museum websites in terms of informational aspects and the learning context. The observation studies identified the relationship between visitor behaviours and associated learning activities within 3D museum environments. The interviews further elicited experts’ views and were used to test the research hypotheses. A theoretical design reference model was developed. Initially based on the Reeves multimedia design model, the model consists of three phases: analysis, design and assessment. A prototype 3D exhibition was created based on the theoretical model and two pedagogic approaches. Evaluation of this showed that the design of the exhibits with rich multimedia formats had the potential for more effective visitor learning. The two pedagogic approaches encouraged the related visiting style(s), leading to a deeper engagement with the content and ultimately improving learning efficiency

Creating Interactive Student Workbook for Primary Education Social Studies Class and Researching Its Efficiency

Student workbook is an education material including components that support learning, help ensuring knowledge and ability to students in line with the acquisitions stated in teaching programs. Students have different learning styles and necessities. Their needs should be satisfied by benefiting from some additional materials in order to make their learning permanent. The chance to find an environment proper for individual learning necessities increases in parallel with the abundance of materials used in education. As known, there is only one way communication in printed materials and they are limited in terms of addressing different learning styles. Using technological products such as computer and internet in learning environments can remove these limits. Turning student workbook into electronic documents extends the limits of written books and eases learning by addressing more than one sense. In this study, preparing Social Studies workbook of 4th grade primary school interactively, the process of practicing it and its effects on students’ academic success, student attitudes towards the lesson, computer and internet are researched. The software used in this study is multimedia supported and web based. Software is prepared by exemplifying “Power, Management and Society” learning domain. Pre test last test non-equalized control group model, which is one of the semi trial models, is used. At the end of the study, it is determined that there are significant differences in terms of pretest and last test of experiment group and control group students’ attitude scale towards computer, attitude scale towards social studies and success test. There isn’t a meaningful difference in attitude scale towards internet. Keywords: Social Studies, web based teaching, workbook

E-LEARNING INNOVATIONS IN HIGHER EDUCATION

This scientific work is presenting the ways to do computer assisted education for students, giving the good practice examples, presenting new electronic learning systems, the advantages and limits and to try to emphasize that these days E-learning is one of the most efficient way to reach education at all levels, specially higher education systems. The objectives of this paper are: to explain the contribution of modern technologies and electronic systems to educational processes, to define the concept of technology based learning, to introduce the electronic tools for education, to present good practice examples in implementing E-learning systems in higher education and corporate environment in Romania and last but not least the new electronic learning systems. Introducing the computers and ITC in educational processes facilitates them and makes the educational system modern and efficient. E - learning innovations offers a core group of professional development courses designed to help anyone achieve professional advancement and personal enrichment. The programs are founded on an extensive experience and understanding of technology-based learning environments. They focus on the most current industry practices for various learning environments and best approaches for multiple learning styles. They ensure that the students get the information and skills needed to achieve more in teaching practice and to confidently enter the distance or online classroom

The use of learning styles in adaptive hypermedia

Computer-based learning has become a common phenomenon in the modern age. Many distance-learning systems distribute educational resources on the Internet and indeed entire study programmes are now widely available online. Such a large amount of content and information can be intimidating to learners, who may exhibit different individual characteristics, such as variation in goals, interests, motivation and/or learning preferences. This suggests that a uniform approach taken by learning environments to deliver materials and resources to students is not appropriate and that personalisation of such materials/resources should address users' differences to provide a customised learning experience, thus enhancing its effectiveness, lowering drop-out rates and maintaining high student motivation. This thesis addresses the latter issue of learning preferences, specifically investigating learning styles as an adaptation mechanism for personalised computer-based learning. A number of previous studies indicated the positive effect that this kind of adaptation provides, but under closer examination these were not conducted in a scientifically rigorous manner and thus their findings are somewhat limited. This research utilises a quantitative and highly objective approach to investigate visual/verbal and sequential/global learning styles in different user groups. Three user trials were carried out to discover whether there were any benefits to using these learning styles for studying in an adapted environment. Overall, no statistically significant benefits were found and these findings now shed doubt as to whether learning styles are indeed an effective mechanism for personalised learning

The use of learning styles in adaptive hypermedia

Computer-based learning has become a common phenomenon in the modern age. Many distance-learning systems distribute educational resources on the Internet and indeed entire study programmes are now widely available online. Such a large amount of content and information can be intimidating to learners, who may exhibit different individual characteristics, such as variation in goals, interests, motivation and/or learning preferences. This suggests that a uniform approach taken by learning environments to deliver materials and resources to students is not appropriate and that personalisation of such materials/resources should address users' differences to provide a customised learning experience, thus enhancing its effectiveness, lowering drop-out rates and maintaining high student motivation. This thesis addresses the latter issue of learning preferences, specifically investigating learning styles as an adaptation mechanism for personalised computer-based learning. A number of previous studies indicated the positive effect that this kind of adaptation provides, but under closer examination these were not conducted in a scientifically rigorous manner and thus their findings are somewhat limited. This research utilises a quantitative and highly objective approach to investigate visual/verbal and sequential/global learning styles in different user groups. Three user trials were carried out to discover whether there were any benefits to using these learning styles for studying in an adapted environment. Overall, no statistically significant benefits were found and these findings now shed doubt as to whether learning styles are indeed an effective mechanism for personalised learning

Effects of learning style and learning environment on achievement by levels of learning /

Ten classes of adults enrolled in formal non-credit programs of basic computer programming were involved in the study. Based upon interviews with the instructors and observation of the classes, five of the classes were identified as conforming environments and five were identified as independent environments. Students agreeing to participate in the study completed a Learning Style Inventory, a pretest, and a biographical questionnaire during the first class session. Upon completion of the sixth class session, the students were administered a posttest consisting of fifteen questions identified in the rote level of learning category and fifteen questions in the understanding level of learning category.This study was designed to determine whether or not interactions occur between/among individual differences of learners with instructional treatments. Based on the theory of experiential learning, David A. Kolb's conception of learning styles was used to identify individual differences in learners. The investigator sought to determine if individuals in different learning style categories would achieve more in certain learning environments, and if this matching would affect their ability to learn at different levels. It was expected that there would be interaction between learning style and learning environment on achievement. It was also anticipated that there would be interaction between learning style and levels of learning. Finally, it was predicted that there would be a difference between learning environments and levels of learning.The pretest and posttest instruments were computer scored and analyzed. A packaged computer system, Statistical Analysis System (SAS), was used to summarize scores and responses for each subject. Since the total number of observations produced unequal cell sizes, a table of random numbers was used to eliminate observations in each category that exceeded fifteen. A total of 120 subjects was used in the statistical analysis.It was also found that there was no difference between rote questions and understanding questions for each of the learning environments in a paired comparison t-test.An analysis of covariance (ANCOVA) revealed that learning style and learning environment do interact to affect achievement. However, a multiple analysis of covariance demonstrated that there were no differences between learning style and levels of learning