论文标题
DMI-ST的数字素养和阅读习惯。尤金大学的学生
Digital Literacy and Reading Habits of The DMI-St. Eugene University Students
论文作者
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。
Digital literacy is the skill of finding, evaluating, consuming, and generating information using digital technologies. The study attempted to comprehend university students' digital reading habits and skills. It also provides a glimpse of the pupils' favorite reading materials, including physical and digital sources. We examined BSc and BE Computer Science students of DMI-St. Eugene University, Zambia. The tool was a structured questionnaire that was distributed through WhatsApp. The study's findings revealed that most students thoroughly understand digital tools and how to use them but lack the skills to build their websites and portfolio. Out of 115 students, all agreed they used computers for learning purposes. Usage of digital environments, generally, they used the World Wide Web for searching for information. Additionally, most students have medium digital application skills, despite their preference for reading electronic books. The results indicate that students' gender and level of education had a statistically significant link with their digital literacy, whereas age wasn't shown to be a statistically relevant predictor. The findings show that, in terms of education, especially reading, students' or readers' top priorities are electronic resources; print book preferences are reduced.
