TY - JOUR
T1 - Dashboard proposal implemented according to an analysis developed on the KNIME platform
AU - Ninasivincha-Apfata, Jhon Edwar
AU - Quispe-Figueroa, Ricardo Carlos
AU - Valderrama-Solis, Manuel Alejandro
AU - Maraza-Quispe, Benjamin
N1 - Publisher Copyright:
© 2021 Birlesik Dunya Yenilik Arastirma ve Yayincilik Merkezi.
PY - 2021
Y1 - 2021
N2 - The objective of the research is to develop a methodology to analyse a set of data extracted from a learning management system, in order to implement a dashboard, which can be used by teachers to make timely and relevant decisions to improve the teaching-learning processes. The methodology used consisted of analysing 9, 257 records extracted through simple random sampling from a population of 100, 000 records. The indicators analysed were number of accesses, course grades, time spent, number of courses enrolled and number of activities developed. The results show that the data analysis was carried out on the (o Konstanz Information Miner (KNIME) data mining analysis platform, and the model was implemented in five phases: requirements definition, model design, development, implementation and evaluation of results. The results are taken as a recommendation to design and implement a customised dashboard for teachers to identify observable behavioural patterns that allow them to make decisions to improve the teaching-learning processes of students.
AB - The objective of the research is to develop a methodology to analyse a set of data extracted from a learning management system, in order to implement a dashboard, which can be used by teachers to make timely and relevant decisions to improve the teaching-learning processes. The methodology used consisted of analysing 9, 257 records extracted through simple random sampling from a population of 100, 000 records. The indicators analysed were number of accesses, course grades, time spent, number of courses enrolled and number of activities developed. The results show that the data analysis was carried out on the (o Konstanz Information Miner (KNIME) data mining analysis platform, and the model was implemented in five phases: requirements definition, model design, development, implementation and evaluation of results. The results are taken as a recommendation to design and implement a customised dashboard for teachers to identify observable behavioural patterns that allow them to make decisions to improve the teaching-learning processes of students.
KW - Analytics
KW - Dashboard
KW - KNIME learning
KW - Personalised
KW - Teaching
UR - http://www.scopus.com/inward/record.url?scp=85119366174&partnerID=8YFLogxK
U2 - 10.18844/wjet.v13i4.6267
DO - 10.18844/wjet.v13i4.6267
M3 - Artículo
AN - SCOPUS:85119366174
VL - 13
SP - 816
EP - 837
JO - World Journal on Educational Technology: Current Issues
JF - World Journal on Educational Technology: Current Issues
SN - 1309-1506
IS - 4
ER -