Search for dissertations about: "Network Teaching and Research"

Showing result 1 - 5 of 15 swedish dissertations containing the words Network Teaching and Research.

2. 1. Programming Model and Protocols for Reconfigurable Distributed Systems

   Author : Cosmin Ionel Arad; Seif Haridi; Gregory Chockler; KTH; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; distributed systems; programming model; message-passing concurrency; nested hierarchical composition; reactive components; software architecture; dynamic reconfiguration; multi-core; discrete-event simulation; peer-to-peer; testing; debugging; distributed key-value stores; data replication; consistency; linearizability; network partition tolerance; consistent hashing; self-organization; scalability; elasticity; fault tolerance; consistent quorums;

   Abstract : Distributed systems are everywhere. From large datacenters to mobile devices, an ever richer assortment of applications and services relies on distributed systems, infrastructure, and protocols. Despite their ubiquity, testing and debugging distributed systems remains notoriously hard. READ MORE

4. 2. Influencing teaching and learning microcultures. Academic development in a research-intensive university

   Author : Katarina Mårtensson; AHU Högskolepedagogisk utveckling; []
   Keywords : Academic development; higher education; leadership; mesolevel; microculture; significant network;

   Abstract : The focus in this thesis is to explore theoretical perspectives and strategies for academic development, particularly in a research-intensive university. The purpose is to investigate academic development that aims to support and influence individual academic teachers and groups of teachers, in the different social collegial contexts that they work in, here called microcultures. READ MORE

5. 3. On the use of immersive technologies in the professional education of mineral processing

   Author : Pedro A. de S. Bergamo; Yousef Ghorbani; Jan Rosenkranz; Emilia Sofia Streng; Saija Luukkanen; Luleå tekniska universitet; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Mineral Processing; Training Evaluation; Modelling and Simulation; Gamification; User Experience; Mineral Processing; Mineralteknik;

   Abstract : With the advance of technology, many educators started implementing immersive technologies like simulators and gamified learning applications to improve the trainings of process operators. However, it is noted that the minerals sector is significantly behind other industries, for instance, the chemical industry, especially when it comes to the evaluation of these types of trainings. READ MORE

6. 4. Learning computer systems in a distributed project course : The what, why, how and where

   Author : Anders Berglund; Arnold Pears; Shirley Booth; Raymond Lister; Uppsala universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; computer science education; computer science education research; computer networking; computer systems; phenomenography; activity theory; learning; higher education; team collaboration; remote collaboration; Computer science; Datavetenskap; Subject didactics; Ämnesdidaktik; Computer Systems; Datorteknik;

   Abstract : Senior university students taking an internationally distributed project course in computer systems find themselves in a complex learning situation. To understand how they experience computer systems and act in their learning situation, the what, the why, the how and the where of their learning have been studied from the students’ perspective. READ MORE

7. 5. 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