Search results for "Multi"
showing 10 items of 17152 documents
Assessing game experience: Heart rate variability, in-game behavior and self-report measures
2014
Assessing game experience by means of recordings of physiological reactions elicited during game play is a technique that has gained popularity in recent years in the field of digital games research. However, since physiological signals are typically linked to several psychological processes, the use of some measures such as cardiac activity or heart rate (HR) remains problematic. The goal of the present study is to investigate to what extent game logs and self-report measures of game experience have a predictive value for heart rate variability during game play. Our results showed that the accurate registration of in-game behaviors by means of game logs carries the potential of providing r…
Flipped Learning Experiment in Video-Based Education
2017
Videos intended for educational use have increased significantly in recent years. This is partly due to the increasing use of videos for entertainment purposes, as well as an increase in broadband connections. Educational videos may include short video clips, screen capture videos or, for example, recordings from the classroom teaching situation. Videos can be utilized in revising, for compensating absences, making teaching more flexible or for developing presentation skills. The recording also enables the re-use of lectures. This allows completely new types of educational solutions, such as the implementation of flipped learning. In flipped learning, activities traditionally carried out in…
Learning styles module as a part of a virtual campus
2016
For several years now, learning style mapping has been carried out for our students of the master's degree education in information technology. To better utilize learning styles in practice, a learning style module was integrated into the multimedia platform used in the education. The learning style module serves both the student and the educator. The goal was to create an application which, in the long run, would diversify the learning environment and make learning more efficient. This study describes the functioning and integration of the learning style application. The deployment of the application is monitored by collecting statistics of its use and feedback of its usability and usefuln…
On the Students' QoS-Awareness of Video Lectures
2016
Video lectures bring flexibility and enable distance learning in education. With the help of videos, educational organizations are able to serve a wider and more heterogeneous group of students. As streaming videos have become essential part of teaching in higher education, quality of service (QoS) issues should be taken more into consideration. However, systematic quality monitoring of video lecture delivery, to our knowledge, is rarely used in a way that would provide also the student with quality information. This paper describes our ongoing research on developing a streaming video quality evaluation tool integrated in a learning environment that our master’s students use. The tool serve…
Combining PCA and multiset CCA for dimension reduction when group ICA is applied to decompose naturalistic fMRI data
2015
An extension of group independent component analysis (GICA) is introduced, where multi-set canonical correlation analysis (MCCA) is combined with principal component analysis (PCA) for three-stage dimension reduction. The method is applied on naturalistic functional MRI (fMRI) images acquired during task-free continuous music listening experiment, and the results are compared with the outcome of the conventional GICA. The extended GICA resulted slightly faster ICA convergence and, more interestingly, extracted more stimulus-related components than its conventional counterpart. Therefore, we think the extension is beneficial enhancement for GICA, especially when applied to challenging fMRI d…
IMEX schemes for pricing options under jump–diffusion models
2014
We propose families of IMEX time discretization schemes for the partial integro-differential equation derived for the pricing of options under a jump-diffusion process. The schemes include the families of IMEX-midpoint, IMEX-CNAB and IMEX-BDF2 schemes. Each family is defined by a convex combination parameter [email protected]?[0,1], which divides the zeroth-order term due to the jumps between the implicit and explicit parts in the time discretization. These IMEX schemes lead to tridiagonal systems, which can be solved extremely efficiently. The schemes are studied through Fourier stability analysis and numerical experiments. It is found that, under suitable assumptions and time step restric…
Understanding differences among coding club students
2014
Scholars and instructors have been carrying out a multitude of actions to increase students' interest in computer science during the past years. Still, there is a need for knowledge on how these attempts develop student interest. In this qualitative study, we construct illustrative categories out of students who have attended our K-12 coding club and game programming summer course activities. We found four categories: Inactivity, Lack of self-direction, Experimenting, and Professionalism. We also briefly project this abstraction onto a four-phase model of interest development.
Smart Educational Process Based on Personal Learning Capabilities
2017
Personalized learning is increasingly gaining popularity, especially with the development of information technology and modern educational resources for learning. Each person is individual and has different knowledge background, different kind of memory, different learning speed. Teacher can adapt learning course, learning instructions or learning material according to the majority of learners in class, but that means that learning process is not adapted to the personality of each individual learner. That is why it is important to have smart educational process based on personal learning capabilities. This paper presents a literature survey on different learning systems which detects learni…
Evaluating the performance of artificial neural networks for the classification of freshwater benthic macroinvertebrates
2014
Abstract Macroinvertebrates form an important functional component of aquatic ecosystems. Their ability to indicate various types of anthropogenic stressors is widely recognized which has made them an integral component of freshwater biomonitoring. The use of macroinvertebrates in biomonitoring is dependent on manual taxa identification which is currently a time-consuming and cost-intensive process conducted by highly trained taxonomical experts. Automated taxa identification of macroinvertebrates is a relatively recent research development. Previous studies have displayed great potential for solutions to this demanding data mining application. In this research we have a collection of 1350 …
Using Video Conferencing and Video Recordings for Upper Secondary Distance Teaching: Teachers' View Points
2016
In Finland the “Isoverstas” (formely ISOverkosto) network of schools coordinates the development of upper secondary distance learning services. The community actually is quite extensive with 65 member schools. In this paper we introduce the results related using synchronous and asynchronous online video resources for distance teaching. The topic is approached broadly at the level of schools and different support services as well as the pedagogical practices of individual teachers. The research data consists of wiki stories written by teachers, the interviews of selected teachers, and an online survey. Data-based content analysis was chosen as the main analysis method with the aim of highlig…