INFO-2019 CONTEST
PEDAGOGICAL EXPERIENCE
The article is devoted to the implementation of gamification methods in the educational process. The characteristic features of light and hard gamification are presented. The appropriateness of using gamification when applying e-learning technology is considered. Classification of courses based on hard gamification taking into account the technological features of development is proposed: courses-presentations, courses — computer games, VR/AR courses. The article also illustrates the use of various game elements of easy gamification using the example of the module “Level up! — Gamification” of the Moodle LMS. The capabilities of this module can be used in an electronic course by any teacher who has the skills of working with the Moodle.
The authors present the analysis of the development of a training course in sales techniques using hard and light gamification technologies, where the course development was assessed for its complexity, manufacturability, and resource requirements. The results of the analysis showed that the development of courses using hard gamification requires much more financial and time-consuming than the development of courses using light gamification.
The article evaluates the results of the educational intensiveness intense “Island 10–22”, held in July 2019 in Skolkovo, in which 100 university teams, teams of research and educational centers, teams of schoolchildren — winners of competitions, olympiads, hackathons (“Young Talents”) participated. The results of the intense confirmed the effectiveness of the use of light gamification methods in adult training. Thus, the conclusions presented in the article reveal a number of advantages that light gamification has in comparison with hard gamification.
ICT IN THE SUBJECT AREA
The article is devoted to the description of didactic approaches that allow to integrate the theory and practice of teaching students of mathematical specialties by updating informative intra- and interdisciplinary connections of mathematical disciplines and informatics.
Methods for implementing cognitive visualization taking into account the specifics of mathematics and computer science are given. The interpretation of interdisciplinary connections (as a category of teaching didactics) and visual modeling in relation to teaching mathematics are also clarified.
The article describes a variant of the organization of content in the computer means of teaching (CMT) students of the classical university in mathematical analysis. The content of this course in one or another volume is a mandatory component of mathematical training in universities, it is consistently associated with the content of the course of school mathematics and is widely used in applied problems.
On the basis of the analysis of semantics and logic of construction of formulations of those properties which are repeated in relation to various mathematical objects, the variant of content didactic clustering at which such concepts as “convergence”, “uniform convergence”, “differentiability”, etc., act as patterns in the organization of the maintenance of computer means of training is presented.
INFORMATIZATION OF EDUCATION
Mobile robot is an important developing direction in the field of robotics, it is widely used in Industrial Internet of Things (IIoT) environment, agriculture, military, transportation, services with the coming of 5G wireless communication technology. Automatic navigation control technology is the core in these research areas, which is also the key technology for mobile robot to achieve intelligentization and autonomation.
The article discusses and researches the neural network technology and its application in mobile robot navigation control. For the characteristics and research of mobile robot navigation problem, it finds the way to improve the mobile robot intelligentization, level of the self-organization, self-learning and adaptive capability. The combination of neural network with other intelligent algorithms solves autonomous navigation problem of the mobile robot in the complex uncertain environments and unknown variable environments. The mobile robot navigation control problem using fuzzy neural network can achieve a more effective real-time navigation control performance through amending the network weights by self-study according to the navigation priori knowledge of human experts.
ISSN 2658-7769 (Online)