Actualities of Balance Diagnostics System Model Development for Persons with Disabilities

In Latvia so far there have not been made comprehensive studies to provide balance function diagnostics for persons with disabilities. It is also recognized that there is a lack of dedicated efficient and widely accessible for patients systems, equipment and tools to make balance function and dysfunction diagnostic, as well an improvement of the patients’ movement capabilities. This position paper gives an overview about the latest technical engineering solution trends and developments in the world, which could be suited and developed to create the conformable new, rather simple, accessible and cheap systems. Such systems will have to ensure the diagnostics of balance function for persons with disabilities and encourage them the usage of mentioned equipment to particular balance and movement functionality

Concept of Learner Behaviour Data Based Learning Support

In this article we present our developing progress with the multi-screen e-learning system initially developed and named as eBig3 system that gives users learning access by the means of computers, mobiles and TV, depending on their choice. In the new project JAUZI we build on our previous experience. We identified that insufficient learning support in traditional eLearning settings is the key obstacle to the broad deployment of eLearning and a cause for the high drop-out rate from these programs. As a remedy for this problem, we developed an algorithm to track user trajectories and to identify problem areas. Here, we present the analysis of the data we gathered and used to assign further user support provisions. The particular support provisions we designed were based on a multiple messaging system: SMSs to users, to teachers and also emails to users and teachers. The JAUZI support system is designed respond to potential critical actions in learners’ behaviour and to quickly provide a remedy

User Behavior in Multi-Screen Elearning

This article reports on the progress we have achieved as we continue to pilot new approaches using an eEcosystem that is based on a multi-screen concept to support e-learning. Here we recap our recent progress with the project JAUZI/eBig3 that is a multi-screen e-learning development. The approach effectively integrates the popular technologies of television, Internet, and mobile phones. It is a new way of using technology to support and encourage engagement in the lifelong learning process. Here we present the results of ten course pilots offered in 2013 with the eBig3-learning format as well as the teacher training courses offered by the MII project (Modern Education of Interests) in 2014. The target group of eBig3 courses was general public, but for the MII courses it was teachers. We compared the user behavior data from the various presented courses with the number of learning objects to the number of users. The normalised curves of the user behavior data graph are a valuable source for data analysis to teachers and course developers because they profile effectiveness of course content and delivery approach in respect to target group expections. Our observations about the variance in user behavior distribution between mandatory and optional courses can be used as a potential quality indicator for the success of eLearning courses