主题演讲摘要:为大学的快速数字化发展做好准备

I. Puri
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引用次数: 0

摘要

数字技术的发展正在推动技术、商业和社会领域的新颠覆。当然,世界各地有许多有价值的试点努力,将对数字技术新研究的深刻理解与学生的学习结合起来。然而,没有完全纳入数字化学习的传统课堂在全球占主导地位。有许多课程允许高等教育学生了解数字机会,但这些课程并不普遍,也不是基于当前的进步。作为教育工作者,我们希望学生学习并更加自觉地了解他们的学科如何与不断扩大的数字世界和新研究相交叉。我们如何做到这一点?首先,我们必须认识到,数字化转型和创新不是同义词。虽然数字化转型通常需要更长的时间才能实现,但另一方面,数字化创新是由更直接的创造力和相对较短的设计思维产生的。数字创意在课堂内外都可以实现,在后一种情况下,有时甚至没有正式的课程。因此,除了特定学科的基础知识外,学生和研究人员应该学会接受数字进化,而不管他们的学科领域如何,以实现长期的数字化转型。在这次演讲中,我们将讨论一些例子,说明如何将数字进化的意识和理解融入到各种工程学科的学生学习和研究中。例如,这包括与自主系统新研究、数据分析、物联网实施(例如,用于先进制造)以及图形用户界面和应用程序的发展相关的教学和学习。最后,我们提出了一些策略来鼓励更普遍地实现这些集成。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Keynote Abstracts Keynote Talk #1 Preparing the University for Rapid Digital Evolution
New disruptions – technological, business and social – are being facilitated by the evolution of digital technologies. There are, of course, many valuable pilot efforts across the world that integrate a deep understanding of new research on digital technologies with student learning. Yet the classical classroom that does not fully include digital learning dominates globally. There are many curricula that allow postsecondary students to learn about digital opportunities, but these are not ubiquitous and neither are they based on current advances. As educators, we want students to learn and become more self-aware about how their academic disciplines intersect with the enlarging digital world and new research. How do we do so? First, we must convey that digital transformation and innovation are not synonymous. While digital transformations are typically realized over longer periods, digital innovations on the other hand are generated by the more immediate ignition of creativity and relatively shorter term design thinking. Digital creativity is enabled both within the classroom and outside it, in the latter case sometimes even without a formal curriculum. It thus follows that, in addition to discipline-specific fundamentals, students and researchers should learn to embrace digital evolution regardless of their area of academic discipline to enable longer term digital transformation. In this presentation, we will discuss some examples of how the awareness and understanding of digital evolution has been integrated into student learning and research in various engineering disciplines. This includes, for instance, teaching and learning related to new research in autonomous systems, data analytics, IoT implementations, e.g., for advanced manufacturing, and the evolution of graphical user interfaces and apps. Finally, we present some strategies to encourage the more ubiquitous implementation of these integrations.
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