Teaching performance evaluation techniques with intelligent learning objects: methodology and practical examples

• Grant number: 16/10981-7
• Support Opportunities: Scholarships abroad - Research
• Start date: July 01, 2016
• End date: February 28, 2017
• Field of knowledge: Physical Sciences and Mathematics - Computer Science
• Principal Investigator: Sarita Mazzini Bruschi
• Grantee: Sarita Mazzini Bruschi
• Host Investigator: Rahul Simha
• Host Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
• Institution abroad: George Washington University, United States
• Associated research grant: 13/07375-0 - CeMEAI - Center for Mathematical Sciences Applied to Industry, AP.CEPID

Abstract

This postdoctoral research project proposes the use of intelligent learning objects to assist the teaching of performance evaluation process. Therefore, it will be studied the main points that should be taught to undergraduates and graduate students and from this study learning objects will be defined. The intelligence of these objects will be in order to guide the students and especially to allow the learning objects to adapt to the knowledge that the student has acquired with its use. As a result, it is expected to propose a methodology for teaching performance evaluation using these intelligent learning objects, with the validation of this methodology through practical examples of use with undergraduates and graduate. (AU)