期刊：
BMC Medical Education,2024年24(1):1-11 ISSN：1472-6920
通讯作者：
Yang, HB
作者机构：
[Yang, Huabing] Hunan City Univ, Sch Marxism, 518 Yingbin East Rd, Yiyang 413000, Peoples R China.
通讯机构：
[Yang, HB ] H;Hunan City Univ, Sch Marxism, 518 Yingbin East Rd, Yiyang 413000, Peoples R China.
关键词：
Academic progress;Digitalization of education;E-learning platform MOODLE;Educational motivation;Ideology;Policy
摘要：
The study aimed to examine the impact of using the MOODLE e-learning platform in ideological and political education on Chinese students’ motivation and academic performance. The study involved 447 students from China-based universities (the experimental group − 232 students who studied using electronic educational platforms, and the control group − 215 students who used no digital technologies in their learning). The following methods were used: Measuring the need to achieve success among students; T. I. Ilyina’s method for studying motivation to study at university; Method for studying student success motivation; Method for studying the motives of students’ educational activities; Method for determining the main motives for choosing a profession (E. M. Pavlyutenkov); Motivation of learning activities: Levels and types (I. S. Dombrovskaya). Students’ academic performance was assessed by testing in the studied disciplines at the beginning and end of the study. As a result, the significance of the motivational component in achieving the success of ideological and political education and the impact on students’ motivation to use e-learning platforms is theoretically substantiated. It has been confirmed that using e-learning platforms in ideological and political education helps increase student motivation and academic performance.
摘要：
<jats:p>Fuel cells are a newly developed source for generating electric energy. These cells produce electricity through a chemical reaction between oxygen and hydrogen, which releases electrons. In recent years, extensive research has been conducted in this field, leading to the emergence of high-power batteries. This study introduces a novel technique to enhance the power quality of grid-connected proton-exchange membrane (PEM) fuel cells. The proposed approach uses an inverter following a buck converter that reduces voltage. A modified pelican optimization (MPO) algorithm optimizes the controller firing. A comparison is made between the controller’s performance, based on the recommended MPO algorithm and various other recent approaches, demonstrating the superior efficiency of the MPO algorithm. The study’s findings indicate that the current–voltage relationship in proton-exchange membrane fuel cells (PEMFCs) follows a logarithmic pattern, but becomes linear in the presence of ohmic overvoltage. Furthermore, the PEMFC operates at an impressive efficiency of 60.43% when running at 8 A, and it can deliver a significant power output under specific operating conditions. The MPO algorithm surpasses other strategies in terms of efficiency and reduction in voltage deviation, highlighting its effectiveness in managing the voltage stability, and improving the overall performance. Even during a 0.2 sagging event, the MPO-based controller successfully maintains the fuel cell voltage near its rated value, showcasing the robustness of the optimized regulators. The suggested MPO algorithm also achieves a superior accuracy in maintaining the voltage stability across various operating conditions.</jats:p>
