TY - JOUR
T1 - Academic results meanings with data mining mediated by the use of serious video game matelogic
AU - Talavera Mendoza, Fabiola Mary
AU - Rucano Paucar, Fabián Hugo
AU - Villalba Condori, Klinge Orlando
N1 - Publisher Copyright:
© 2019, Institute of Advanced Scientific Research, Inc.. All rights reserved.
PY - 2019
Y1 - 2019
N2 - In this article we argue that datification can offer new opportunities and roles for education in gathering evidence for timely teacher intervention. It is intended to analyze data attributes through grouping algorithms and classification as data mining tools related to the progress of academic performance through the learning pathways of students before and after using the SG Matelogic. The research is quantitative, with an experimental study, using data from 25 participants from the fourth grade of primary education. The main finding obtained in the application of the algorithms K-means and Random Tree allowed a progressive achievement of the learning, from the interaction with the serious video game. It is concluded that the application of data mining allows to determine a pattern of interaction to inform and support students and teachers to reflect and self-regulate learning achieving a level of impact of the serious game Matelogic in the school curriculum.
AB - In this article we argue that datification can offer new opportunities and roles for education in gathering evidence for timely teacher intervention. It is intended to analyze data attributes through grouping algorithms and classification as data mining tools related to the progress of academic performance through the learning pathways of students before and after using the SG Matelogic. The research is quantitative, with an experimental study, using data from 25 participants from the fourth grade of primary education. The main finding obtained in the application of the algorithms K-means and Random Tree allowed a progressive achievement of the learning, from the interaction with the serious video game. It is concluded that the application of data mining allows to determine a pattern of interaction to inform and support students and teachers to reflect and self-regulate learning achieving a level of impact of the serious game Matelogic in the school curriculum.
KW - Academic performance
KW - Attributes
KW - Automatic learning
KW - Learning itineraries
UR - http://www.scopus.com/inward/record.url?scp=85078322949&partnerID=8YFLogxK
U2 - 10.5373/JARDCS/V11SP11/20193061
DO - 10.5373/JARDCS/V11SP11/20193061
M3 - Artículo
AN - SCOPUS:85078322949
SN - 1943-023X
VL - 11
SP - 509
EP - 518
JO - Journal of Advanced Research in Dynamical and Control Systems
JF - Journal of Advanced Research in Dynamical and Control Systems
IS - 11 Special Issue
ER -