论文标题

家庭实验室可以培养学习期间的学习,自我效能和动力吗? - 两个工程计划中的案例研究

Can in-home laboratories foster learning, self-efficacy, and motivation during the COVID-19 pandemic? -- A case study in two engineering programs

论文作者

Ariza, Jonathan Álvarez

论文摘要

储层计算是预测湍流的有力工具,其简单的架构具有处理大型系统的计算效率。然而,其实现通常需要完整的状态向量测量和系统非线性知识。我们使用非线性投影函数将系统测量扩展到高维空间,然后将其输入到储层中以获得预测。我们展示了这种储层计算网络在时空混沌系统上的应用,该系统模拟了湍流的若干特征。我们表明,使用径向基函数作为非线性投影器,即使只有部分观测并且不知道控制方程,也能稳健地捕捉复杂的系统非线性。最后,我们表明,当测量稀疏、不完整且带有噪声,甚至控制方程变得不准确时,我们的网络仍然可以产生相当准确的预测,从而为实际湍流系统的无模型预测铺平了道路。

The COVID-19 pandemic has represented a challenge for higher education in terms to provide quality education despite the lockdown periods, the transformation of the in-person classes to virtual classes, and the demotivation and anxiety that are experimented by the students. Because the basis of engineering is the experimentation through hands-on activities and learning by doing, the lockdown periods and the temporary suspension of the in-person classes and laboratories have meant a problem for educators that try to teach and motivate the students despite the situation. In this context, this study presents an educational methodology based on Problem-Based Learning (PBL) and in-home laboratories in engineering. The methodology was carried out in two phases during 2020, in the academic programs of Industrial Engineering and Technology in Electronics with (n=44) students. The in-home laboratories were sent to the students as part of "kits" with the devices needed in each subject. Besides, due to the difficulties in monitoring the learning process, the students made videos and blogs as a strategy to reinforce their learning and evidence the progress in the courses. The outcomes of the methodology show mainly the following points: (1) An improvement of the academic performance and learning of the students in the courses. (2) A positive influence of the usage of in-home laboratories in motivation, self-efficacy, and reduction of anxiety. (3) Positive correlations between the usage of in-home laboratories, the blogs and videos, and the teacher's feedback for learning, motivation, and self-efficacy. Thus, these results evidence that other alternatives that gather the cognitive and affective learning domains can emerge from engineering to deal with the educational problems produced by the crisis periods.

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