Advanced search
Showing result 1 - 5 of 25 swedish dissertations matching the above criteria.
-
1. From blended learning to learning onlife : ICTs, time and access in higher education
Abstract : Information and Communication Technologies, ICTs, has now for decades being increasingly taken into use for higher education, enabling distance learning, e-learning and online learning, mainly in parallel to mainstream educational practise. The concept Blended learning (BL) aims at the integration of ICTs with these existing educational practices. READ MORE
-
2. Learning text talk online : Collaborative learning in asynchronous text based discussion forums
Abstract : The desire to translate constructivist and sociocultural approaches to learning in specific learning activities is evident in most forms of training at current, not least in online education. Teachers worldwide are struggling with questions of how to create conditions in this fairly new realm of education for learners to contribute to the development of a good quality in their own and others' learning. READ MORE
-
3. Embodied Evolution of Learning Ability
Abstract : Embodied evolution is a methodology for evolutionary robotics that mimics the distributed, asynchronous, and autonomous properties of biological evolution. The evaluation, selection, and reproduction are carried out by cooperation and competition of the robots, without any need for human intervention. READ MORE
-
4. A Triple Helix of Learning Processes - How to cultivate learning, communication and collaboration among distance-education learners
Abstract : This work focuses on collaborative learning and how it canbe applied and supported in distance education. Previous workindi-cates that distance learners experience more loneliness,technical problems and lack of stimulation than face-to-facelearners do. Collaboration with peers may improve the feelingof connectedness and engagement. READ MORE
-
5. Reliable and Efficient Distributed Machine Learning
Abstract : With the ever-increasing penetration and proliferation of various smart Internet of Things (IoT) applications, machine learning (ML) is envisioned to be a key technique for big-data-driven modelling and analysis. Since massive data generated from these IoT devices are commonly collected and stored in a distributed manner, ML at the networks, e.g. READ MORE