Taking into account that each new day an amount of daily processed data grows exponentially, it is obvious that knowledge society needs flexible, effective and high performing tools to retrieve, learn and apply necessary information. Learning management systems become more and more intelligent and adaptive. Learning analytics instruments give course developers a possibility to assess and analyze learners’ activities and behavior patterns within e-learning environment, allowing to propose them personalized self-paced learning path and types of learning objects. This paper discusses challenges in development of adaptive learning management system and outlines its prospective models and properties.
The user behavior data generated in the TELECI learning environment with additional short, easy-to-use multiple-choice questions before and after each content subunit are used for visualization and correlation analysis. Three user behavior data clusters were identified in data landscape. The student behavior change among the TELECI-clusters was used for TELECI learning support algorithm design. The student performance data before and after learning the econtent were used for knowledge acquisition model design. This model is based on the assumption that knowledge acquisition of real e-content can be quantified by superposition of the impact of learning "perfect" content, too easy content, and too complicated content. The learner knowledge acquisition surface is calculated on this assumption. The data of real course learner knowledge acquisition are located on this surface as "telecides". Telecides are the visualization of the appropriateness of an e-content unit for the needs of the specific learner or learners target group.1
The detection of human balance functional disorders may provide some kind of awareness or even warning about potential problems for human health both in organs responsible for ensuring the balance function and in organs related to fulfilment of other important life functions. Modern world offers some sophisticated solutions which enable not only determination of the human balance functional capacity but also offer some kind of training environment to provide corresponding rehabilitation. Unfortunately, such systems are very expensive. And this make limitations of their accessibility and practical usability for a wide range of the target group / population. Software solutions, including mobile applications, on the other hand, are incomparably cheaper. However, they do not allow to make precise balance capability measurements, limiting to simplified balance retention simulators. During implementation of the Latvian National State Research Program VPP INOSOCTEREHI from 2015 to 2017 three human balance capability testing prototypes were developed using a variety of electronic and mechatronic solutions. The last one was successfully approbated during two pilots in Latvian schools in 2016 and demonstrated at the International Invention and Innovation Exhibition MINOX-2016. This paper analyses benefits and disadvantages of approaches used in creating of these prototypes. Besides, authors make initial comparison of developed third prototype version against the BioSway system offered in the market. The paper gives also insight into particular system interface development and new effective graphic portrayal of the balance testing output data, as well as sets the goals for further possible commercialization of the developed balance testing prototype.
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