Development of a web application for management of learning styles

Information and Communication Technologies (ICT) permit the innovation of teaching and learning processes. ICT allow teachers to create or select and adjust contents that take advantage of the digital environment and interaction between peers. Teaching methodologies and strategies should be adjusted to the learning styles of students, offering them, in turn, the possibility to reflect about the way in which they might learn better. This article introduces a work of creation and validation of a web-based application, which aims to enhance the Management of Learning Styles (MLS) on the part of students and teachers, based on Felder-Soloman's Index of Learning Styles Questionnaire (ILS) and Honey-Mumford's Learning Styles Questionnaire (LSQ). The prototype has been validated and the results suggest its applicability and the relevance of the information this tool is capable of obtaining - reports on the learning styles profiles by student, teacher and class - with the objective of supporting them in the selection of strategies to improve teaching and learning, developing at the same time skills which will allow them to learn throughout their lives

A generic framework for the development of standardised learning objects within the discipline of construction management

E-learning has occurred in the academic world in different forms since the early 1990s. Its use varies from interactive multimedia tools and simulation environments to static resources within learning management systems. E-learning tools and environments are no longer criticised for their lack of use in higher education in general and within the construction domain in particular. The main criticism, however, is that of reinventing the wheel in order to create new learning environments that cater for different educational needs. Therefore, sharing educational content has become the focus of current research, taking e-learning into a whole new era of developments. This era is enabled by the emergence of new technologies (online and wireless) and the development of educational standards, such as SCORM (Sharable Content Object Reference Model) and LOM (Learning Object Metadata) for example. Accordingly, the broad definition of the construction domain and the interlocking nature of subjects taught within this domain, makes the concept of sharing content most appealing. This paper proposes a framework developed to describe the various steps required in order to enable the application of e-learning metadata standards and ontology for sharable learning objects to serve the construction discipline. The paper further describes the application of the proposed framework to a case study for developing an online environment for learning objects that are standardised, sharable, transparent and that cater for the needs of learners, educators and curricula developers in Construction Management. Based on the framework, a learning objects repository is developed incorporating educational and web standards. The repository manages objects as well as metadata using ontology and offers a set of services such as storing, retrieving and searching of learning objects using Semantic Web technologies. Thus, it increases the reusability, sharability and interoperability of learning objects

Team equilibrium and innovation performance

2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other worksToday competition has increased between organizations and they are urged to improve constantly their performance throughout innovation if they want to survive and be profitable. However, an organization can't be innovative if it doesn't counts with creative people and build teams to strength its creative and innovative capabilities. Besides, the impact of technology in innovation has been widely studied but there are others major aspects that need more exploration to understand their influence in it. For example, collaborative work, multicultural teamwork, creative teamwork, entrepreneurial behavior, etc. Some authors suggest more research is needed regarding organization capabilities that promote effective relationships for innovation. According to West (2002), three issues dominated research about creativity and innovation among teams: the characteristics of group tasks and their impact in the creative-innovative process; the role of diversity in knowledge and skills between team members; and team integration. If these issues are relevant for team creativity and innovation, then frameworks and tools to configure teams are necessary. It may be taken by granted that there must be an equilibrium of roles within teams to foster creativity focused on innovation. So, in this paper several approaches of creativity are reviewed. Then a conceptual model to foster Team Equilibrium and strength innovation performance is proposed and applied through a web-based tool. A first empiric exploration is presented. The proposed model can be used as a basis to develop tools that helps teams for self-analysis.Peer ReviewedPostprint (published version

A Dynamic Knowledge Management Framework for the High Value Manufacturing Industry

Dynamic Knowledge Management (KM) is a combination of cultural and technological factors, including the cultural factors of people and their motivations, technological factors of content and infrastructure and, where these both come together, interface factors. In this paper a Dynamic KM framework is described in the context of employees being motivated to create profit for their company through product development in high value manufacturing. It is reported how the framework was discussed during a meeting of the collaborating company’s (BAE Systems) project stakeholders. Participants agreed the framework would have most benefit at the start of the product lifecycle before key decisions were made. The framework has been designed to support organisational learning and to reward employees that improve the position of the company in the market place

Quality-aware model-driven service engineering

Service engineering and service-oriented architecture as an integration and platform technology is a recent approach to software systems integration. Quality aspects ranging from interoperability to maintainability to performance are of central importance for the integration of heterogeneous, distributed service-based systems. Architecture models can substantially influence quality attributes of the implemented software systems. Besides the benefits of explicit architectures on maintainability and reuse, architectural constraints such as styles, reference architectures and architectural patterns can influence observable software properties such as performance. Empirical performance evaluation is a process of measuring and evaluating the performance of implemented software. We present an approach for addressing the quality of services and service-based systems at the model-level in the context of model-driven service engineering. The focus on architecture-level models is a consequence of the black-box character of services

Personalised trails and learner profiling within e-learning environments

This deliverable focuses on personalisation and personalised trails. We begin by introducing and defining the concepts of personalisation and personalised trails. Personalisation requires that a user profile be stored, and so we assess currently available standard profile schemas and discuss the requirements for a profile to support personalised learning. We then review techniques for providing personalisation and some systems that implement these techniques, and discuss some of the issues around evaluating personalisation systems. We look especially at the use of learning and cognitive styles to support personalised learning, and also consider personalisation in the field of mobile learning, which has a slightly different take on the subject, and in commercially available systems, where personalisation support is found to currently be only at quite a low level. We conclude with a summary of the lessons to be learned from our review of personalisation and personalised trails

Chapter 1 : Learning Online

The OTiS (Online Teaching in Scotland) programme, run by the now defunct Scotcit programme, ran an International e-Workshop on Developing Online Tutoring Skills which was held between 8–12 May 2000. It was organised by Heriot–Watt University, Edinburgh and The Robert Gordon University, Aberdeen, UK. Out of this workshop came the seminal Online Tutoring E-Book, a generic primer on e-learning pedagogy and methodology, full of practical implementation guidelines. Although the Scotcit programme ended some years ago, the E-Book has been copied to the SONET site as a series of PDF files, which are now available via the ALT Open Access Repository. The editor, Carol Higgison, is currently working in e-learning at the University of Bradford (see her staff profile) and is the Chair of the Association for Learning Technology (ALT)

Developing an interactive writing tool for business law students

Students&rsquo; performance in assessment tasks requiring logical written answers to case study problems can be adversely affected by difficulties in constructing a full length, logical written argument that demonstrates understanding to the level expected. This paper describes a teaching and learning tool developed to assist students in constructing logical full-length answers to given problems, using individual understanding of underlying concepts and their application. The tool allows students to see their thoughts and reasoning written into full-length answers of different styles. Developed initially for Business law students, this Answer Styles tool has scope to assist students&rsquo; writing in many disciplines.</div

Learning styles, personalisation and adaptable e-learning

Common Learning Management Systems (for example Moodle [1] and Blackboard [2]) are limited in the amount of personalisation that they can offer the learner. They are used widely and do offer a number of tools for instructors to enable them to create and manage courses, however, they do not allow for the learner to have a unique personalised learning experience. The e-Learning platform iLearn offers personalisation for the learner in a number of ways and one way is to offer the specific learning material to the learner based on the learner's learning style. Learning styles and how we learn is a vast research area. Brusilovsky and Millan [3] state that learning styles are typically defined as the way people prefer to learn. Examples of commonly used learning styles are Kolb Learning Styles Theory [4], Felder and Silverman Index of Learning Styles [5], VARK [6] and Honey and Mumford Index of Learning Styles [7] and many research projects (SMILE [8], INSPIRE [9], iWeaver [10] amonst others) attempt to incorporate these learning styles into adaptive e-Learning systems. This paper describes how learning styles are currently being used within the area of adaptive e-Learning. The paper then gives an overview of the iLearn project and also how iLearn is using the VARK learning style to enhance the platform's personalisation and adaptability for the learner. This research also describes the system's design and how the learning style is incorporated into the system design and semantic framework within the learner's profile