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.

Testverktyg för test av mobila applikationer : En jämförande fallstudie

Användandet av mobila applikationer har växt radikalt de senaste åren och de samverkar med många system. Därför ställs det högre krav på kvaliteten och att applikationen ska anpassas till många olika enheter, operativsystem samt plattformar. Detta gör att test av mobila applikationer blivit viktigare och större. Detta arbete har bedrivits som en jämförande fallstudie inom området test av mobila applikationer samt testverktyg. Syftet har varit att beskriva hur testning av mobila applikationer sker idag vilket gjorts genom litteraturstudier och intervjuer med IT-företag. Ett annat syfte har varit att utvärdera fyra testverktyg, deras för- och nackdelar samt hur de kan användas vid testning av mobila applikationer och jämföras mot manuell testning utan testverktyg. Detta har gjorts genom att skapa förstahandserfarenheter baserat på användandet av testverktygen. Under arbetet har vi utgått från mobila applikationer som vi fått tillgång till av Triona, som varit vår samarbetspartner.Idag finns många olika testverktyg som kan användas som stöd för testningen men få företag har implementerat något eftersom det kräver både tid och kompetens samt valet av testverktyg kan vara svårt. Testverktygen har olika för- och nackdelar vilket gör att de passar olika bra beroende på typ av projekt och applikation. Fördelar med att använda testverktyg är möjligheten att kunna automatisera, testa på flera enheter samtidigt samt få tillgång till enheter via molnet. Utmaningarna är att det kan vara svårt att installera och lära sig testverktyget samt att licenserna kan vara dyra. Det är därför viktigt att redan innan implementationen veta vilka tester och applikationer testverktygen ska användas till samt vem som ska använda det. Utifrån vår studie kan slutsatsen dras att inget testverktyg är helt komplett men de kan bidra med olika funktioner vilket effektiviserar delar av testningen av mobila applikationer.

Störningsinformation i tågtrafiken : Attityder bland resenärer och tågbolag till störningsinformation och tjänster för sådan information

When booking a trip along the railway through several train operators it is not uncommon that information about possible disruptions along the railway (that can change or cancel the booked trip) are not relayed to the passengers. Today, research on rail traffic in Sweden is limited. It is unclear how satisfied customers are with the quality of the information they receive during their trip (if they get it at all), including with respect to disruptions. Our partners have identified what they believe is a need among train operators, which is a service for disruption information to travelers. In addition to confirming that there is a need for such a service, we have an interest to investigate how such a service might look like and what the users want. Our research has shown that passengers are not satisfied with either the amount of information about disturbances or how often they get it. Along with KnowitBorlänge, we have come up with a proposed solution that uses already existing technologies to create a portal for an efficient way to get the interference information to travelers.

Collaborative Filtering with Data Classification : A Combined Approach to Hotel Recommendation Systems

Recommendation systems aim to help users make decisions more efficiently. The most widely used method in recommendation systems is collaborative filtering, of which, a critical step is to analyze a user's preferences and make recommendations of products or services based on similarity analysis with other users' ratings. However, collaborative filtering is less usable for recommendation facing the "cold start" problem, i.e. few comments being given to products or services. To tackle this problem, we propose an improved method that combines collaborative filtering and data classification. We use hotel recommendation data to test the proposed method. The accuracy of the recommendation is determined by the rankings. Evaluations regarding the accuracies of Top-3 and Top-10 recommendation lists using the 10-fold cross-validation method and ROC curves are conducted. The results show that the Top-3 hotel recommendation list proposed by the combined method has the superiority of the recommendation performance than the Top-10 list under the cold start condition in most of the times.