Technological innovation, driven towards the educational context, has favored the concept of interactive technological environments that may significantly contribute towards the teaching-learning processes. In that se...Technological innovation, driven towards the educational context, has favored the concept of interactive technological environments that may significantly contribute towards the teaching-learning processes. In that sense, mapping interactivity indicators that consider technical and operational aspects, supported by the available technical literature and based on the perspective of undergraduate engineers and teachers, becomes a fundamental activity in order to build interactive environments that may in fact adequately contribute for the professional education of our students, mainly the ones in engineering courses. Specifically, this paper shows preliminary studies within this perspective, showing how technological innovation may be understood and applied in the educational context. The study also shows the first interactivity indicator for a collaborative learning perspective, obtained from data collected through a qualitative content analysis methodology.展开更多
Time series are an important object of study in sciences, engineering and business, especially in cases where it is expected to know, predict and optimize behaviors. In this context, we intend to show the feasibility ...Time series are an important object of study in sciences, engineering and business, especially in cases where it is expected to know, predict and optimize behaviors. In this context, we intend to show the feasibility of using artificial neural networks in the study of several time series in an engineering course, especially those that have no overt behavior or are not able to be modeled mathematically in a simple way and have direct application in the education of future engineers.展开更多
Teaching robotics necessarily involves the study of the kinematic models of robot manipulators. In turn, the kinematics of a robot manipulator can be described by its forward and reverse models. The inverse kinematic ...Teaching robotics necessarily involves the study of the kinematic models of robot manipulators. In turn, the kinematics of a robot manipulator can be described by its forward and reverse models. The inverse kinematic model, which provides the status of the joints according to the desired position for the tool of the robot, is typically taught and described in robotics classes through an algebraic way. However, the algebraic representation of this model is often difficult to obtain. Thus, although it is unquestionable the need for the accurate determination of the inverse kinematic model of a robot, the use of ANNs （artificial neural networks） in the design stage can be very attractive, because it allows us to predict the behavior of the robot before the formal development of its model. In this way, this paper presents a relatively quick way to simulate the inverse kinematic model of a robot, thereby allowing the student to have an overview of the model, coming to identify points that should be corrected, or that can be optimized in the structure of a robot.展开更多
文摘Technological innovation, driven towards the educational context, has favored the concept of interactive technological environments that may significantly contribute towards the teaching-learning processes. In that sense, mapping interactivity indicators that consider technical and operational aspects, supported by the available technical literature and based on the perspective of undergraduate engineers and teachers, becomes a fundamental activity in order to build interactive environments that may in fact adequately contribute for the professional education of our students, mainly the ones in engineering courses. Specifically, this paper shows preliminary studies within this perspective, showing how technological innovation may be understood and applied in the educational context. The study also shows the first interactivity indicator for a collaborative learning perspective, obtained from data collected through a qualitative content analysis methodology.
文摘Time series are an important object of study in sciences, engineering and business, especially in cases where it is expected to know, predict and optimize behaviors. In this context, we intend to show the feasibility of using artificial neural networks in the study of several time series in an engineering course, especially those that have no overt behavior or are not able to be modeled mathematically in a simple way and have direct application in the education of future engineers.
文摘Teaching robotics necessarily involves the study of the kinematic models of robot manipulators. In turn, the kinematics of a robot manipulator can be described by its forward and reverse models. The inverse kinematic model, which provides the status of the joints according to the desired position for the tool of the robot, is typically taught and described in robotics classes through an algebraic way. However, the algebraic representation of this model is often difficult to obtain. Thus, although it is unquestionable the need for the accurate determination of the inverse kinematic model of a robot, the use of ANNs （artificial neural networks） in the design stage can be very attractive, because it allows us to predict the behavior of the robot before the formal development of its model. In this way, this paper presents a relatively quick way to simulate the inverse kinematic model of a robot, thereby allowing the student to have an overview of the model, coming to identify points that should be corrected, or that can be optimized in the structure of a robot.
