25,491 research outputs found
Where is my time? Identifying productive time of lifelong learners for effective feedback services
Lifelong learners are confronted with a broad range of activities they have to manage every day. In most cases they have to combine learning, working, family life and leisure activities throughout the day. Hence, learning activities from lifelong learners are disrupted. The difficulty to find a suitable time slot to learn during the day has been identified as the most frequent cause. In this scenario mobile technologies play an important role since they can keep track of the most suitable moments to accomplish specific learning activities in context. Sampling of learning preferences on mobile devices are key benchmarks for lifelong learners to become aware on which learning task suits in which context, set realistic goals and set aside time to learn on a regular basis. The contribution of this manuscript is twofold: first, a classification framework for modelling lifelong learners’ preferences is presented based on a literature review; second, a mobile application for experience sampling is piloted aiming to identify which are the preferences from lifelong learners regarding when, how and where learning activities can be integrated. Both framework and pilot provide an important scaffold for lifelong learners to identify productive times during the day with mobile technologies.NELL
Where is my time? Identifying productive time of lifelong learners for effective feedback services
Lifelong learners are confronted with a broad range of activities they have to manage every day. In most cases they have to combine learning, working, family life and leisure activities throughout the day. Hence, learning activities from lifelong learners are disrupted. The difficulty to find a suitable time slot to learn during the day has been identified as the most frequent cause. In this scenario mobile technologies play an important role since they can keep track of the most suitable moments to accomplish specific learning activities in context. Sampling of learning preferences on mobile devices are key benchmarks for lifelong learners to become aware on which learning task suits in which context, set realistic goals and set aside time to learn on a regular basis. The contribution of this manuscript is twofold: first, a classification framework for modelling lifelong learners’ preferences is presented based on a literature review; second, a mobile application for experience sampling is piloted aiming to identify which are the preferences from lifelong learners regarding when, how and where learning activities can be integrated. Both framework and pilot provide an important scaffold for lifelong learners to identify productive times during the day with mobile technologies.NELL
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The Integrated Vocational Route (IVR): an employer-driven learning programme in health & social care practice at the FE/HE interface
In 2006, the Open University Awarding Body, Faculty of Health & Social Care and the Vocational Qualifications Assessment Centre began exploratory discussions with health and social care (HSC) employers regarding the creation of a flexible programme of vocational and academic development which would seek to bridge the FE-HE divide, embed learning in the workplace rather than the classroom and facilitate progression in this field of practice. The product of these discussions was the ‘Integrated Vocational Route’ (IVR).
The IVR is designed to meet the needs of support staff directly involved in the provision of health and/or social care who have higher career aspirations and employers seeking to develop those non-professional care workers in their organisation whom they believe have the greatest potential to progress to more senior roles. The original programme integrates a Level 3 HSC (Adults) National Vocational Qualification (NVQ) within the OU K101 ‘An Introduction to Health and Social Care’ module (offering 60 credits at NQF Level 4). Successful completion of the IVR will therefore provide both a ‘Certificate of Health and Social Care’ (60 credits at NQF Level 4) and a full NVQ Level 3 HSC Adults award.
HSC employer consultation and briefings in twelve UK towns and cities helped shape the IVR model and four organisations (Newcastle City Council, Northumberland, Tyne & Wear NHS Trust, Salisbury Foundation NHS Trust and Social Work Information & Interpretation Services [SWIIS] Foster Care Scotland) have been particularly influential in determining IVR design and models of delivery. One such model enables both the IVR tutor and assessor roles to be undertaken by staff within a partner organisation and tutorials to be held in the workplace. Most of the IVR learning and support materials are available online and a bespoke, user-friendly electronic portfolio has been created for the integrated NVQ. By simultaneously developing and assessing academic skills, knowledge and competence related to care practice, the IVR offers better preparation for progression to qualifying routes such as nursing and social work and scope for credit transfer.
A second IVR integrating a full Level 3 HSC Children and Young People (CYP) NVQ within the K101 module was offered for the first time in 2009. The IVR is currently being re-developed to accommodate the new vocational Diploma qualifications which replace Level 3 NVQs from 2011
NFC LearnTracker:Seamless support for learning with mobile and sensor technology
Lifelong learning activities are scattered along the day, in different locations and making use of multiple devices. Most of the times adults have to merge learning, work and everyday life making it difficult to have an account on how much time is devoted to learning activities and learning goals. Learning experiences are disrupted and mobile seamless learning technology provides new solutions to integrate daily life activities and learning in the same process. Hence, there is a need to provide tools that are smoothly integrated into adults’ daily life. This manuscript presents the NFC LearnTracker, a mobile tool proposing the user to immerse within his autobiography as a learner to identify successful physical learning environments, mark them with sensor tags, bind them to self-defined learning goals, keep track of the time invested on each goal with a natural interface, and monitor the learning analytics. This work implies a suitable tool for lifelong learners to bind scattered activities keeping them in a continuing learning flow. The NFC LearnTracker is released under open access licence with the aim to foster adaptation to further communities as well as to facilitate the extension to the increasing number of sensor and NFC tags existent in the market
"Tap it again, Sam": Harmonizing the frontiers between digital and real worlds in education
Lifelong leaners are intrinsically motivated to embed learning activities into daily life activities. Finding a suitable combination of the two is not trivial since lifelong learners have to face conflicts of time and location. Hence, lifelong learners normally build personal learning ecologies in those moments they set aside to learn making use of their available resources. On the other hand, the advent of Near Field Communication (NFC) technology facilitates the harmonization in the interactions between the digital world and daily physical spaces. Likewise, NFC enabled phones are becoming more and more popular. The contribution of this manuscript is threefold: first, scientific literature where NFC has been used with a direct or indirect purpose to learn is reviewed, and potential uses for lifelong learners are identified; based on these findings the Ecology of Resources for Lifelong Learning is presented as suitable setup for the scaffolding of learning activities with NFC augmented physical spaces; finally, this ecology is piloted and different learning scenarios are proposed for further extension
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