International Journal of Education and Information Technologies


ISSN: 2074-1316
Volume 12, 2018

Notice: As of 2014 and for the forthcoming years, the publication frequency/periodicity of NAUN Journals is adapted to the 'continuously updated' model. What this means is that instead of being separated into issues, new papers will be added on a continuous basis, allowing a more regular flow and shorter publication times. The papers will appear in reverse order, therefore the most recent one will be on top.

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Volume 12, 2018


Title of the Paper: Strengthening Cognitive Processes in Early Childhood through a Pedagogic Tool with Video Games

 

Authors: A. José Eduardo Padilla Beltrán, B. Yaneth Patricia Caviativa Castro, C. María Inés Mantilla Pastrana

Pages: 13-20

Abstract: The objective of the study is to design a video game as a technological tool to favour the cognitive processes of children in early childhood. The methodology corresponds to a qualitative research of descriptive type with an instructional design model ADDIE that takes into account: analysis of the learning needs, training objectives, memories appropriate to the purpose of the learning process, content and activities development, low levels of structural difficulty. Favouring the operation functions by elements applied in the design of the video game, the child organizes, associates, identifies, and improves the capacity of concentration, orientation and the spatial notion. In the future is expected to implement a detailed analysis for the strengthening of cognitive abilities, improving the structuring of elaborate sentences required to make their social interaction in the context towards the recognition of objects, figures and colours from the abstraction of linguistic symbolism. It is recommended to continue research that includes broad samples, as well as objective tests for the evaluation of the cognitive pattern, increasing the number of video game sessions to determine the effects of ludic in the virtual reality of learning.


Title of the Paper: Agent Based Model of Anger Contagion and its Correlations with Personality and Interaction Frequency

 

Authors: Mara Pudane, Bernard P. Brooks, Rebecca J. Houston, Michael A. Radin

Pages: 7-12

Abstract: The research interest of the paper is investigating how various factors impact annoyance and anger propagation in the network. In general, emotion in a human network propagates via process that in psychology is called emotional contagion. While there already are attempts, some very elaborate, to model emotion contagion, to authors’ knowledge none of them look at it as depending on interaction time. To perform simulations, an agent-based model was developed based on real data. The model allows to input personality and interaction frequency as parameters. As a result, some unintuitive results were acquired. First, it was assumed that maximum anger intensity in the network will grow linearly with Neuroticism value, however, the results showed sigmoid character. Secondly, it was also assumed that depending on interaction time, the decrease will be linear but the simulations show very slight decrease or even peak at the beginning. One of the tasks to supplement this research is measuring and confirming the existence of such predicaments in real life.


Title of the Paper: The Logical Model and Language Support for Patterns in DBMS

 

Authors: Zdeňka Telnarová, Martin Žáček

Pages: 1-6

Abstract: The authors' aim is the Logical Model and Language Support for Patterns in DBMS (Database Management System) and builds on the previous work of the authors. Patterns are mentioned usually in the extraction context. Little stress is posed in their representation and management. This paper is focused on representation of the patterns, manipulation with patterns and query patterns. Crucial issue can be seen in systematic approach to pattern management and specific pattern query language which takes into consideration semantics of patterns. Example of implementation of the abstract pattern model is proposed. Query language for manipulating with patterns is introduced on Time Series data.