Search for dissertations about: "online learning"

Showing result 21 - 25 of 245 swedish dissertations containing the words online learning.

2. 21. Do-It-Yourself Learning in Kenya : Exploring mobile technologies for merging non-formal and informal learning

   Author : William Jobe; Henrik Hansson; Harald Kjellin; Evoda Mukama; Stockholms universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; ICT4D; mobile learning; M4D; informal learning; non-formal learning; MOOCs; digital incentives; Computer and Systems Sciences; data- och systemvetenskap; Informatics;

   Abstract : The educational landscape is changing and a variety of technologies and techniques are blurring the lines between traditional and non-traditional learning. This change is substantial in low-income countries: individuals in developing countries have a great desire to educate themselves and improve their quality of life. READ MORE

4. 22. Using Learning Analytics to Understand and Support Collaborative Learning

   Author : Mohammed Saqr; Uno Fors; Jalal Nouri; Barbara Wasson; Stockholms universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Learning analytics; Social Network Analysis; Collaborative Learning; Medical Education; Interaction Analysis; Machine Learning; Information Society; informationssamhället;

   Abstract : Learning analytics (LA) is a rapidly evolving research discipline that uses insights generated from data analysis to support learners and optimize both the learning process and learning environment. LA is driven by the availability of massive data records regarding learners, the revolutionary development of big data methods, cheaper and faster hardware, and the successful implementation of analytics in other domains. READ MORE

5. 23. Consolidating concepts of technology education : From rhetoric towards a potential reality

   Author : Andrew Doyle; Lena Gumaelius; Niall Seery; Donal Canty; Eva Hartell; Kay Stables; KTH; []
   Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Technology education; enacted practice; Pedagogical Content Knowledge PCK ; teacher conceptions; and; Nature of Technology.; Teknikvetenskapens lärande och kommunikation; Education and Communication in the Technological Sciences;

   Abstract : The thesis focuses on the relationship between international rhetoric and classroom realities in technology education. For some time there has been widespread recognition that the intended goals for learning in the subject area have failed to manifest in enacted practices as envisioned. READ MORE

6. 24. Participating in Synchronous Online Education

   Author : Stefan Hrastinski; Institutionen för informatik; []
   Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Technological sciences; Samhällsvetenskaper; Social sciences; systemteori; Computer-mediated communication; Online participation; Synchronous communication; Online education; Teknik; E-learning; Distance education; Informatics; Informatik; systems theory;

   Abstract : There is an increasing need for education since the workforce of today is expected to be highly educated and continuously learn. Distance education is a powerful response to meet the growing need for education. Online education, here concisely defined as distance education mediated online, is the most common type of distance education. READ MORE

7. 25. Offline and Online Models for Learning Pairwise Relations in Data

   Author : Fazeleh Sadat Hoseini; Chalmers tekniska högskola; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Mulit-Armed Bandit; Pairwise Relations; Performance Modeling; Motion Trajectory Clustering; Minimax Distance; Bottleneck Identification; Online Learning; Representation Learning; Memory Efficiency; Concurrent Programming; Thompson Sampling;

   Abstract : Pairwise relations between data points are essential for numerous machine learning algorithms. Many representation learning methods consider pairwise relations to identify the latent features and patterns in the data. This thesis, investigates learning of pairwise relations from two different perspectives: offline learning and online learning. READ MORE