Development the Mobile Gaming Application for Psychological Research

P.V. Kolyasnikov, A.V. Likhachev, A.Y. Ledashchev

Abstract


One of the important modern areas of psychological research is the collection and processing of big data using Internet technologies. The use of new technologies allows psychological science to overcome the traditional difficulties associated with small samples, but at the same time acquiring other problems in return - storage, transmission, verification of big data. Gamification in education and psychology is a fairly developed area of science and practice, providing specialists with new tools for diagnosing and training various skills. The article is devoted to the development of principles and models for the collection of experimental psychological data in a mobile gaming application. The use of gaming applications provides opportunities to collect huge sets of data about users based on logging systems of their actions. To implement this task have been developed an approach to the preservation of various statistical data and means to ensure its implementation in a mobile gaming application. The calculation of the possible amount of game data is carried out, showing the dependence of their volume on the number of actions performed and the number of participants. The architecture and an example of the implementation of a mobile application that evaluates the spatial abilities of the study participants and records of all their actions are presented. The architecture and implementation example of a mobile application is presented, which evaluates the spatial abilities of the study participants and collects and stores all the actions they have performed, which are the basis of the study.


Full Text:

PDF (Russian)

References


Esipenko E.A., Maslennikova E.P., ..., Malykh, S.B. Comparing spatial ability of male and female students completing Humanities vs. technical degrees. Psychology in Russia: State of the art. 2018. Vol, 11. No. 4. P. 37-49.

Tikhomirova T., Voronina I., Marakshina J., Nikulchev E., Ayrapetyan I., Malykh T. The relationship between non-verbal intelligence and mathematical achievement in high school students. SHS web of conferences. 2016. Vol. 29. P. 02039.

Xie F., Zhang L., Chen X., Xin, Z. Is spatial ability related to mathematical ability: A meta-analysis. Educational Psychology Review. 2020. Vol. 32. P. 113-155.

Konogorskaya S.A. Spatial reasoning characteristics and their correlation to academic success of schoolchildren. Pedagogical Review. 2017. Vol. 15. С. 142-152.

Aristova, I.L., Esipenko, E.A., Sharafieva, K.R., Maslennikova, E.P., Chipeeva, N.A., Feklicheva, I.V., ... & Kovas, Ju.V. Prostranstvennye sposobnosti: struktura i jetiologija. Voprosy psihologii. 2018. No 1. P. 118-126.

Duffy G., Sorby S., Bowe B. An investigation of the role of spatial ability in representing and solving word problems among engineering students. Journal of Engineering Education. 2020. Vol. 109. No. 3. P. 424-442.

Duarte L., Teodoro A.C., Gonçalves H. Evaluation of spatial thinking ability based on exposure to Geographical Information Systems (GIS) concepts in the context of higher education. ISPRS International Journal of Geo-Information. 2022. Vol. 11. No. 8. P. 417.

Lane D., Sorby S. Bridging the gap: blending spatial skills instruction into a technology teacher preparation programme. International Journal of Technology and Design Education. 2022. Vol. 32. No. 4. P. 2195-2215.

Osipov I.V., Orlov S., Egorushkin I., Nikulchev, E. Development of a gaming application for a customized eight-processor device with a tangible interface. Procedia Computer Science. 2021. Vol. 186. P. 777-786.

Nikulchev E., Ilin D., Silaeva A., Kolyasnikov P. …, Malykh S. Digital Psychological Platform for Mass Web-Surveys. Data. 2020. Vol. 5. No. 4. P. 95.

Kolyasnikov P.V., Silakov I.N., Ilin D.Yu., Gusev A.A., Nikulchev E.V. Increasing the Efficiency of the Virtual Development Environment for Distributed Software Development. Modern Information Technologies and IT-Education. 2019. Vol. 15. No 1. P. 72–80.

Kolyasnikov, P., Nikulchev, E., …, Malykh, S. Analysis of Software Tools for Longitudinal Studies in Psychology. Inter. J. of Advanced Computer Science and Applications. 2019. Vol. 10. No. 8. P. 21-33.


Refbacks

  • There are currently no refbacks.


Abava  Кибербезопасность MoNeTec 2024

ISSN: 2307-8162