Building a Learning Architecture : e-Learning and e-Services

With the rapid advancement of the webtechnology, more and more educationalresources, including software applications forteaching/learning methods, are available acrossthe web, which enables learners to access thelearning materials and use various ways oflearning at any time and any place. Moreover,various web-based teaching/learning approacheshave been developed during the last decade toenhance the capability of both educators andlearners. Particularly, researchers from bothcomputer science and education are workingtogether, collaboratively focusing ondevelopment of pedagogically enablingtechnologies which are believed to improve theinfrastructure of education systems andprocesses, including curriculum developmentmodels, teaching/learning methods, managementof educational resources, systematic organizationof communication and dissemination ofknowledge and skills required by and adapted tousers. Despite of its fast development, however,there are still great gaps between learningintentions, organization of supporting resources,management of educational structures,knowledge points to be learned and interknowledgepoint relationships such as prerequisites,assessment of learning outcomes, andtechnical and pedagogic approaches. Moreconcretely, the issues have been widelyaddressed in literature include a) availability andusefulness of resources, b) smooth integration ofvarious resources and their presentation, c)learners’ requirements and supposed learningoutcomes, d) automation of learning process interms of its schedule and interaction, and e)customization of the resources and agilemanagement of the learning services for deliveryas well as necessary human interferences.Considering these problems and bearing in mindthe advanced web technology of which weshould make full use, in this report we willaddress the following two aspects of systematicarchitecture of learning/teaching systems: 1)learning objects – a semantic description andorganization of learning resources using the webservice models and methods, and 2) learningservices discovery and learning goals match foreducational coordination and learning serviceplanning.

Student and library services in cooperation

Abstract At Ångström Laboratory, one of the largest campuses at Uppsala University, the Library and the Student Services Office merged in November 2012. This merger is a pilot project to improve service for students and faculty. Ångström Laboratory has around 900 staff and almost 10,000 students, of whom most also spend time at other campuses. In this paper we describe the background and the implementation of the pilot project. One of the main reasons for moving together was the wish to gather together all kinds of student services, including the distribution of written examinations in one place. The central location and open environment of the Library made it a good choice. The heart of the Library and Student Services is an open office consisting of two service desks located in the library area. There are silent study areas; computers for searching and printing, an area for relaxing with newspapers and journals, meeting rooms and offices for the staff. The result is a lively place with a cosy atmosphere. As the Library and the Student Services still belong to different parts of the University we are now starting to find out how best to collaborate. To understand more we log all the questions we get and the services we deliver. We also have meetings together and use the same lunch room to get to know each other and our different functions. We will define which matters can be solved in common, and how we can back each other up when necessary.

Unlicensed personnel administering medications to older persons living at home : a challenge for social and care services

BACKGROUND: Administration of medication to care recipients is delegated to home-care assistants working in the municipal social care, alongside responsibility for providing personal assistance for older people. Home-care assistants have practical administration skills, but lack formal medical knowledge. AIM: The aim of this study was to explore how home-care assistants perceive administration of medication to older people living at home, as delegated to them in the context of social care. METHODS: Four focus groups consisting of 19 home-care assistants were conducted. Data were analysed using qualitative content analysis. RESULTS: According to home-care assistants, health and social care depends on delegation arrangements to function effectively, but in the first place it relieves a burden for district nurses. Even when the delegation had expired, administration of medication continued, placing the statutes of regulation in a subordinate position. There was low awareness among home-care assistants about the content of the statutes of delegation. Accepting delegation to administer medications has become an implicit prerequisite for social care work in the municipality. CONCLUSIONS: Accepting the delegation to administer medication was inevitable and routine. In practice, the regulating statute is made subordinate and consequently patient safety can be threatened. The organisation of health and social care relies on the delegation arrangement to meet the needs of a growing number of older home-care recipients. IMPLICATIONS FOR PRACTICE: This is a crucial task which management within both the healthcare professions and municipal social care needs to address, to bridge the gap between statutes and practice, to create arenas for mutual collaboration in the care recipients' best interest and to ensure patient safety.

Measuring CO2 emissions induced by online and brick-and-mortar retailing

We develop a method for empirically measuring the difference in carbon footprint between traditional and online retailing (“e-tailing”) from entry point to a geographical area to consumer residence. The method only requires data on the locations of brick-and-mortar stores, online delivery points, and residences of the region’s population, and on the goods transportation networks in the studied region. Such data are readily available in most countries, so the method is not country or region specific. The method has been evaluated using data from the Dalecarlia region in Sweden, and is shown to be robust to all assumptions made. In our empirical example, the results indicate that the average distance from consumer residence to a brick-and-mortar retailer is 48.54 km in the studied region, while the average distance to an online delivery point is 6.7 km. The results also indicate that e-tailing increases the average distance traveled from the regional entry point to the delivery point from 47.15 km for a brick-and-mortar store to 122.75 km for the online delivery points. However, as professional carriers transport the products in bulk to stores or online delivery points, which is more efficient than consumers’ transporting the products to their residences, the results indicate that consumers switching from traditional to e-tailing on average reduce their CO2 footprints by 84% when buying standard consumer electronics products. 

Measuring CO2 emissions induced by online and brick-and-mortar retailing

We develop a method for empirically measuring the difference in carbon footprint between traditional and online retailing (“e-tailing”) from entry point to a geographical area to consumer residence. The method only requires data on the locations of brick-and-mortar stores, online delivery points, and residences of the region’s population, and on the goods transportation networks in the studied region. Such data are readily available in most countries, so the method is not country or region specific. The method has been evaluated using data from the Dalecarlia region in Sweden, and is shown to be robust to all assumptions made. In our empirical example, the results indicate that the average distance from consumer residence to a brick-and-mortar retailer is 48.54 km in the studied region, while the average distance to an online delivery point is 6.7 km. The results also indicate that e-tailing increases the average distance traveled from the regional entry point to the delivery point from 47.15 km for a brick-and-mortar store to 122.75 km for the online delivery points. However, as professional carriers transport the products in bulk to stores or online delivery points, which is more efficient than consumers’ transporting the products to their residences, the results indicate that consumers switching from traditional to e-tailing on average reduce their CO2 footprints by 84% when buying standard consumer electronics products.