Banca de DEFESA: ALEXANDRE JOSE BARROS MACHADO

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
STUDENT : ALEXANDRE JOSE BARROS MACHADO
DATE: 30/11/2021
TIME: 17:00
LOCAL: Google Meet
TITLE:

COMBINING THE USE OF ARTIFICIAL AND HUMAN INTELLIGENCE TO RECOMMEND MISSIONS IN GAMIFIED INTELLIGENT TUTORING SYSTEMS

KEY WORDS:

Intelligent Tutoring Systems, Authoring, Gamified Educational Environments, Data-based decisions, Teachers` perceptions

PAGES: 90
BIG AREA: Ciências Humanas
AREA: Educação
SUBÁREA: Ensino-Aprendizagem
SPECIALTY: Tecnologia Educacional
SUMMARY:

The use of Information and Communication Technologies is increasingly evident in educational environments. Online educational platforms can help students and teachers in the formative complexity of teaching and learning in different areas of knowledge. Among the e-learning platforms, the Intelligent Tutoring Systems - ITS allow an adaptive educational environment supported by automated resources of recommendations, carried out by artificial intelligence techniques, aiming at students' learning according to their user profiles. ITS revolutionizes how this information interacts with students and teachers by taking traditional teaching from the classroom to personalized online educational environments. Many researchers develop gamification techniques to increase motivation and avoid the adverse effects (boredom) of using these ITS. However, many issues may be considered to understand the effectiveness of teaching/learning in gamified STI environments; one of them is the active participation of the teacher in the authoring of the knowledge domain to be worked on in the gamified STI, as well as in the pedagogical monitoring students, in a simplified way. In this sense, researchers have become increasingly interested in providing teachers with strategies to monitor and adapt gamification design in the context of STIs to utilize teachers' inherently human capabilities to adjust gamification design according to student performance.  This study will compare the results of using recommendations through missions in a simulated scenario of a gamified environment, automated by the STI, with and without the teacher's intervention, analyzing the data generated by the platform and suggesting missions according to the observations of the monitoring data. For comparison purposes, this dissertation will propose the evaluation of three simulated environments, where teachers will analyze one of three monitoring scenarios of an educational platform (manual, automated, and semi-automated). Each of the scenarios will be used in a randomized experiment, where participating teachers will assess through a form what is their perception of cognitive effort and time dedicated to creating recommendations for missions and monitoring students on the platform.

BANKING MEMBERS:
Presidente - 2943096 - DIEGO DERMEVAL MEDEIROS DA CUNHA MATOS
Interno - 3221659 - RANILSON OSCAR ARAUJO PAIVA
Externo ao Programa - 2494583 - ALAN PEDRO DA SILVA
Externo à Instituição - RAFAEL FERREIRA LEITE DE MELLO - UFRPE