Search results for "Putin"
showing 10 items of 25297 documents
Supporting Institutional Awareness and Academic Advising using Clustered Study Profiles
2017
The purpose of academic advising is to help students with developing educational plans that support their academic career and personal goals, and to provide information and guidance on studies. Planning and management of the students’ study path is the main joint activity in advising. Based on a study log of passed courses, we propose to use robust, prototype-based clustering to identify a set of actual study path profiles. Such profiles identify groups of students with similar progress of studies, whose analysis and interpretation can be used for better institutional awareness and to support evidence-based academic advising. A model of automated academic advising system utilizing the possi…
First Year Computing Students' Perceptions of Authenticity in Assessment
2017
The problem of how best to assess student learning is a fundamental one in education. Changes to computer science curricula seek to emphasise teaching practices that promote deep learning through direct, contextual examination of student performance on tasks that resemble those of practitioners, rather than more traditional methods. This kind of "authentic assessment" is becoming more popular as it appears to incorporate employability skills associated with professional practice into the curriculum in a natural way. In this paper, we report on an investigation into how computing students themselves understand the terminology of authentic assessment. We give a brief summary of some of the sa…
Modelling Recurrent Events for Improving Online Change Detection
2016
The task of online change point detection in sensor data streams is often complicated due to presence of noise that can be mistaken for real changes and therefore affecting performance of change detectors. Most of the existing change detection methods assume that changes are independent from each other and occur at random in time. In this paper we study how performance of detectors can be improved in case of recurrent changes. We analytically demonstrate under which conditions and for how long recurrence information is useful for improving the detection accuracy. We propose a simple computationally efficient message passing procedure for calculating a predictive probability distribution of …
Identity Use and Misuse of Public Persona on Twitter
2016
Social media sites have appeared during the last 10 years and their use has exploded all over the world. Twitter is a microblogging service that has currently 320 million user profiles and over 100 million daily active users. Many celebrities and leading politicians have a verified profile on Twitter, including Justin Bieber, president Obama, and the Pope. In this paper we investigate the '‘hundreds of Putins and Obamas phenomenon’ on Twitter. We collected two data sets in 2015 containing 582 and 6477 profiles that are related to the G20 leaders’ profiles on Twitter. The number of namesakes varied from 5 to 1000 per leader. We analysed in detail various aspects of the Putin and Erdogan rela…
Does the Learning Channel Really Matter? - Insights from Commercial Online ICT-training
2017
Evolving ICT has provided new options to participate to training. Online participation has been found to be cost effective, helping people to deal with the time and cost pressures they are facing on their jobs. Previous studies conducted in higher education sector indicates that student satisfaction or learning outcomes does not differ between online and classroom participants. However, little is known what is the situation in commercial ICT-training. This paper studied course feedbacks from courses having both online and classroom participants of a commercial ICT-training provider. Results revealed that the learning channel has no effect on satisfaction, perceived teacher’s substance and t…
Data mining framework for random access failure detection in LTE networks
2014
Sleeping cell problem is a particular type of cell degradation. There are various software and hardware reasons that might cause such kind of cell outage. In this study a cell becomes sleeping because of Random Access Channel (RACH) failure. This kind of network problem can appear due to misconfiguration, excessive load or software/firmware problem at the Base Station (BS). In practice such failure might cause network performance degradation, which is hardly traceable by an operator. In this paper we present a data mining based framework for the detection of problematic cells. In its core is the analysis of event sequences reported by a User Equipment (UE) to a serving BS. The choice of N i…
Lattice Boltzmann Simulations at Petascale on Multi-GPU Systems with Asynchronous Data Transfer and Strictly Enforced Memory Read Alignment
2015
The lattice Boltzmann method is a well-established numerical approach for complex fluid flow simulations. Recently general-purpose graphics processing units have become accessible as high-performance computing resources at large-scale. We report on implementing a lattice Boltzmann solver for multi-GPU systems that achieves 0.69 PFLOPS performance on 16384 GPUs. In addition to optimizing the data layout on the GPUs and eliminating the halo sites, we make use of the possibility to overlap data transfer between the host CPU and the device GPU with computing on the GPU. We simulate flow in porous media and measure both strong and weak scaling performance with the emphasis being on a large scale…
The influence of dataset size on the performance of cell outage detection approach in LTE-A networks
2015
The configuration and maintenance of constantly evolving mobile cellular networks are getting more and more complex and hence expensive. Self-Organizing Networks (SON) concept is an umbrella term for the set of automated solutions for network operations proposed by 3rd Generation Partnership Project (3GPP) group. Automated cell outage detection is one of the components of SON functionality. In early studies our research group developed data-driven approach for the detection of malfunctioning cells. In this paper we investigate the performance of the proposed solution as a function of the density of active users and the size of observation interval. The evaluation is conducted in Long Term E…
Bridging authentic learning task into technology supported transformative pedagogy in Finnish teacher training
2018
The goal of the Finnish teacher training is to educate autonomous teachers, who have pedagogical competence and theoretical understanding about using ICT in teaching and learning. In this study, we describe teacher students’ pedagogical ICT competence as designers of technology supported learning tasks. The study is based on Hughes’ RAT model, which is a framework for assessing technology integration. The theoretical definition of RAT model is technology as a) replacement, b) amplification or c) transformation. To define this there are three systematical dimensions to analyze a particular technology use: Instructional Methods, Student learning processes and Curriculum Goals. The data consis…
How Do Students Blend Their Studies Based on Time and Place?
2017
The flexibility of participating in education can be improved by utilising lecture videos. By producing videos of contact teaching lectures and offering them to students as real-time videos and recordings, opens up new participation opportunities regarding time and place. This study examines an environment in which students can freely choose their mode of participation for each individual lecture. The objective has been to identify possible changes in participation by looking at participations between 2008–2012 and in 2017. According to the results, teaching bound to a specific location has disappeared almost entirely. Participation in teaching is instead mostly done using videos. Students …