Search for dissertations about: "personalised mobile learning"
Found 4 swedish dissertations containing the words personalised mobile learning.
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1. Data-driven personalized healthcare : Towards personalized interventions via reinforcement learning for Mobile Health
Abstract : Medical and technological advancement in the last century has led to the unprecedented increase of the populace's quality of life and lifespan. As a result, an ever-increasing number of people live with chronic health conditions that require long-term treatment, resulting in increased healthcare costs and managerial burden to the healthcare provider. READ MORE
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2. Algorithms and Representations for Personalised Information Access
Abstract : Personalised information access systems use historical feedback data, such as implicit and explicit ratings for textual documents and other items, to better locate the right or relevant information for individual users.Three topics in personalised information access are addressed: learning from relevance feedback and document categorisation by the use of concept-based text representations, the need for scalable and accurate algorithms for collaborative filtering, and the integration of textual and collaborative information access. READ MORE
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3. Activity recognition in resource-constrained pervasive systems
Abstract : There is an increasing need for personalised and context-aware services in our everyday lives and we rely on mobile and wearable devices to provide such services. Data collected from these devices includes important information about users’ movements, locations, physiological status, and environment. READ MORE
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4. A Computational Approach for Modelling Context across Different Application Domains
Abstract : Nowadays, people use a wide range of devices (e.g., mobile phones, smart watches, tablets, activity bands, laptops) to access different digital applications and services. The ubiquitous distribution of these devices allows them to be used across different settings, in different situations, and in a large number of different domains. READ MORE