Banca de QUALIFICAÇÃO: FRANCISCO GENIVAN SILVA

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
DISCENTE : FRANCISCO GENIVAN SILVA
DATA : 01/12/2017
HORA: 13:00
LOCAL: Auditório B321 do IMD
TÍTULO:

An Educational Process Mining Approach to Video Lessons Behavior Analysis

PALAVRAS-CHAVES:

video lesson, evaluation, behavior, Process Mining

PÁGINAS: 70
GRANDE ÁREA: Ciências Exatas e da Terra
ÁREA: Ciência da Computação
SUBÁREA: Metodologia e Técnicas da Computação
RESUMO:

Distance Education and the use of e-learning systems contribute to the great
generation of educational data. Therefore, the use of databases and the storage of execution
logs make the data more easily accessible and suitable for investigation of educational
processes. Methodologies for automatic extraction of useful information from large volumes
of data, especially data mining, have significantly contributed to improvements in the field of
education. However, most traditional methods are focused solely on the data or how they are
structured, with no major concern with the educational process as a whole. In addition, little
attention has been paid to data on student behavior during resource use and educational
media. Video lessons have been used as a significant part of several courses offered,
demonstrating that the culture of video is increasingly disseminated and is part of students'
daily lives. Therefore, we understand that analyzing the behavior of students during the
execution of the videos can contribute to a more accurate evaluation of the quality of the
subjects addressed and the way they were worked. Thus, this master's work consisted of
carrying out studies conducted in order to investigate the way students behave during the use
of video lessons to propose an approach to evaluate this resource. The evaluation of video
lessons occurs through a process that involves extracting information from log files and
modeling actions through process mining. The initial results demonstrate that the number of
views, the time spent and the time of drop out of the video are variables that have great
capacity to offer useful information about the students' learning. This demonstrates that
evaluating the educational resource through the analysis of its actions can contribute
substantially in the educational area, benefiting the treatment of issues such as the
identification of bottlenecks in the learning process and the anticipation of problems,
especially in distance education. The results obtained during the first studies using Process
Mining in experimental data provided greater clarity about students' behavior during video
lessons, giving the necessary direction for the actions to be taken by teachers or content
producers. In view of this, the work brings contributions to the improvement of key aspects of
videotapes from a multidisciplinary approach, directly helping educators and managers to
promote a more complete educational formation based on resources with better quality.

MEMBROS DA BANCA:
Presidente - 1671962 - EDUARDO HENRIQUE DA SILVA ARANHA
Externo ao Programa - 2245086 - ISABEL DILLMANN NUNES
Externo à Instituição - FABIANO AZEVEDO DORÇA - UFU