Banca de DEFESA: CRISTIAN GUSBERTI

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
DISCENTE : CRISTIAN GUSBERTI
DATA : 15/12/2020
HORA: 14:00
LOCAL: Webconferência
TÍTULO:

Learning Analytics and Educational Management with Quality - A Case Study

PALAVRAS-CHAVES:

Educational Management, Quality Management, Learning Analysis.

PÁGINAS: 242
GRANDE ÁREA: Ciências Humanas
ÁREA: Educação
SUBÁREA: Ensino-Aprendizagem
RESUMO:

The success of the teaching and learning processes does not depend merely on the actions of the teacher. There are other important instances for education to take place satisfactorily. The actions of those responsible for the educational system of a country, state or city have an impact on this success. The actions of those responsible for educational institutions are fundamental for the teaching and learning processes to take place with social quality. This work has as its research area precisely this third level of action: the managers of educational institutions. Such managers make administrative and pedagogical decisions that directly influence issues like student retention and dropout. They also make decisions that determine the offer of school subjects and teaching hours. To execute this educational management, professionals need access to information. Much of the necessary information is present in the databases of academic systems used by educational institutions. Such records constitute a rich source of data, however there is a difficulty in obtaining rich information for correct diagnoses that lead to decisions that increase the teaching and learning processes of students and the efficiency of organizations. The scientific community's perception of the existence of this poorly used educational information repository led to the emergence of a new research field called Learning Analytics (LA). As academic systems contain relevant data for decision-making but are not properly used in terms of their potential to generate relevant information, there is a need to use learning analytics techniques to provide more substantial data, properly processed and formatted, that allows for safe decisions. In this manner, the research problem that conducts this work is the acknowledgement of the difficulty that educational managers have in obtaining information about the learning processes to support administrative and pedagogical decision-making. The hypothesis raised is that an information system based on learning analytics can contribute to the improvement of decision-making by educational management. The general objective was to develop a tool for collecting, measuring, analyzing and reporting educational data from the SIGAA academic system, used at the Federal Institute of Education Science and Technology in the state of Rio Grande do Sul (Brazil), to provide subsidies for educational managers to define the best strategies for the effective progress, use and permanence of the students in the courses offered by this institution. Through the validation of the results, it was possible to conclude that this tool in fact meets the need exposed in the problem and the hypothesis raised was partially validated. The methodology utilized in the research is characterized as applied, descriptive and qualitative. Bibliographic research, data collection and case study procedures were used. The core themes of this paper are educational management, quality in educational management, the importance of information for educational management with quality and learning analytics.

MEMBROS DA BANCA:
Externo à Instituição - Lucia Maria Martins Giraffa - PUC - RS
Presidente - 2245519 - MARCELO AUGUSTO RAUH SCHMITT
Interno - 1768437 - MARCIA AMARAL CORREA DE MORAES
Interno - 1612471 - MARCIA HAFELE ISLABAO FRANCO