计算机科学
敏捷软件开发
过程(计算)
背景(考古学)
实现(概率)
主动学习(机器学习)
人工智能
机器学习
软件工程
数学
生物
统计
操作系统
古生物学
作者
Laio Oriel Seman,Romeu Hausmann,Eduardo Augusto Bezerra
标识
DOI:10.1109/te.2017.2754987
摘要
This work presents an agent-based simulation (ABS) of the active learning process in an Electrical Engineering course. In order to generate input data to the simulation, an active learning methodology developed especially for part-time degree courses, called Project-Based Learning Agile (PBLA), has been proposed and implemented at the Regional University of Blumenau (FURB), Brazil. Through the analysis of survey responses obtained over five consecutive semesters, using partial least squares path modeling (PLS-PM), it was possible to generate data parameters to use as an input in a hybrid kind of agent-based simulation known as PLS agent. The simulation of the scenario suggests that the learning occur faster when the student has higher levels of humanist's aspects as self-esteem, self-realization and cooperation.
科研通智能强力驱动
Strongly Powered by AbleSci AI