Capture and Reuse of Knowledge in ICT-based Decisional Environments

Health care practitioners continually confront with a wide range of challenges, seeking to making difficult diagnoses, avoiding errors, ensuring highest quality, maximizing efficacy and reducing costs. Information technology has the potential to reduce clinical errors and to im-prove the decision making in the clinical milieu. This paper presents a pilot development of a clinical decision support systems (CDSS) entitled MEDIS that was designed to incorporate knowledge from heterogeneous environments with the purpose of increasing the efficiency and the quality of the decision making process, and reducing costs based on advances of in-formation technologies, especially under the impact of the transition towards the mobile space. The system aims to capture and reuse knowledge in order to provide real-time access to clinical knowledge for a variety of users, including medical personnel, patients, teachers and students.Clinical Decision Support Systems, Knowledge Management, Knowledge Interoperability, Mobile Interface, Object-relational Mapping

How to design for persistence and retention in MOOCs?

Design of educational interventions is typically carried out following a design cycle involving phases of investigation, conceptualization, prototyping, implementation, execution and evaluation. This cycle can be applied at different levels of granularity e.g. learning activity, module, course or programme. In this paper we consider an aspect of learner behavior that can be critical to the success of many MOOCs i.e. their persistence to study, and the related theme of learner retention. We reflect on the impact that consideration of these can have on design decisions at different stages in the design cycle with the aim of en-hancing MOOC design in relation to learner persistence and retention, with particular attention to the European context

The role of EMENTORING and social media for developing the entrepreneurship competences

AbstractThe emerging needs of a post-crisis society, the prospective studies at European level about “The new skills for new jobs”, the strategy documents for Europe 2020 shows that new sectors will appear, new skills are needed and among them, all have in common the entrepreneurial and ICT skills as basic ones. As demonstrated in the OECD Innovation Strategy, entrepreneurial skills and attitudes, risk-taking behavior, creativity, etc, will be crucial competences in the economy of the future. © 2011 Published by Elsevier Ltd

Capture and Reuse of Knowledge in ICT-based Decisional Environments

Health care practitioners continually confront with a wide range of challenges, seeking to making difficult diagnoses, avoiding errors, ensuring highest quality, maximizing efficacy and reducing costs. Information technology has the potential to reduce clinical errors and to im-prove the decision making in the clinical milieu. This paper presents a pilot development of a clinical decision support systems (CDSS) entitled MEDIS that was designed to incorporate knowledge from heterogeneous environments with the purpose of increasing the efficiency and the quality of the decision making process, and reducing costs based on advances of in-formation technologies, especially under the impact of the transition towards the mobile space. The system aims to capture and reuse knowledge in order to provide real-time access to clinical knowledge for a variety of users, including medical personnel, patients, teachers and students

MOOCKnowledge: Establishing a large-scale data-collection about participants of European Open Online Courses

While MOOCS have emerged as a new form of open online education around the world,there are still no cross- provider and large-scale data collections that provides reliable information about demographic details of the population of MOOC participants on the one hand, and their motivation, intentions, social context, lifelong learning profile and impact on study success and career development on the other hand. The MOOCKnowledge project is an initiative to establish a large-scale data-collection about participants of European MOOCs. In this paper we describe the motivation behind the project and discuss the research focus. We explain the structure of the survey instrument, report about the data collection process and provide an outlook on potential future developments of the project.JRC.J.3-Information Societ

Engaging students with learning technologies

Curtin University initiated its eScholar program in 2009 making funds available for academic staff to implement innovative teaching using Curtin’s extensive suite of learning technologies. The program is based on the philosophy of engaging students with learning technologies that support their growing understanding through authentic and assessable activities.This publication presents the research findings of each of the eScholar projects conducted in 2010 and 2011. Each chapter has undergone a process of double-blind review resulting in high quality descriptions of learning using current and emerging technologies. The publication is divided into 6 sections based on these technologies.University teaching and learning is faced with many challenges. A major one is recognising appropriate learning technologies and their use that support ways in which adults learn. Rapid advances in technologies can easily seduce those with limited understanding of adult learning. This publication offers clear directions founded on teacher and learner experiences grounded in real classroom activity

Experts on e-learning: insights gained from listening to the student voice!

The Student Experience of e-Learning Laboratory (SEEL) project at the University of Greenwich was designed to explore and then implement a number of approaches to investigate learners’ experiences of using technology to support their learning. In this paper members of the SEEL team present initial findings from a University-wide survey of nearly a 1000 students. A selection of 90 ‘cameos’, drawn from the survey data, offer further insights into personal perceptions of e-learning and illustrate the diversity of students experiences. The cameos provide a more coherent picture of individual student experience based on the totality of each person’s responses to the questionnaire. Finally, extracts from follow-up case studies, based on interviews with a small number of students, allow us to ‘hear’ the student voice more clearly. Issues arising from an analysis of the data include student preferences for communication and social networking tools, views on the ‘smartness’ of their tutors’ uses of technology and perceptions of the value of e-learning. A primary finding and the focus of this paper, is that students effectively arrive at their own individualised selection, configuration and use of technologies and software that meets their perceived needs. This ‘personalisation’ does not imply that such configurations are the most efficient, nor does it automatically suggest that effective learning is occurring. SEEL reminds us that learners are individuals, who approach learning both with and without technology in their own distinctive ways. Hearing, understanding and responding to the student voice is fundamental in maximising learning effectiveness. Institutions should consider actively developing the capacity of academic staff to advise students on the usefulness of particular online tools and resources in support of learning and consider the potential benefits of building on what students already use in their everyday lives. Given the widespread perception that students tend to be ‘digital natives’ and academic staff ‘digital immigrants’ (Prensky, 2001), this could represent a considerable cultural challenge