利用信息通信技术在数学研究中培养工科本科生的数字技能

E. Aruvee, A. Vintere
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引用次数: 0

摘要

几项研究表明,工业基础设施和教育需要根据第四次工业革命进行调整。在教育方面,一方面,学校、培训和大学课程需要采用适应性,另一方面,需要采用创业方法来提高劳动力的信息技术和创新技能。为了维持经济增长,新兴经济体需要教育和培训项目来培养技能,尤其是劳动力市场日益需要的数字技能。数字能力不仅仅是浏览互联网的能力,它可以被分解成许多更小的组成部分。还应该指出的是,数字能力也可以被视为一种横向能力,它还有助于发展其他基本技能,如沟通、语言技能或数学或科学的基础知识。欧盟委员会制定了欧洲人数字能力框架(DigComp),该框架分为五个领域:信息和数据素养;沟通与合作;数字内容创作;安全;以及解决问题的能力。该研究的实证部分包括对拉脱维亚生命科学与技术大学和爱沙尼亚生命科学大学在数学研究中使用技术的比较分析,以及通过DigComp确定的五个组成部分评估该大学数学研究中数字能力发展的学生调查。以及确定哪些电子学习工具(信息和互动)和互联网资源寻找特定的信息或使用其他数学软件除了MatLab或MathCad在课程中。对学生数字技能的分析表明,这些技能相当不错。然而,对于学生来说,最大的问题是解决问题,比如在云端存储文件,编辑视频/照片,解决与学习数学相关的技术问题,以及解决安全问题。
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Use of ict in mathematics studies to develop digital skills of undergraduate engineering students
Several studies suggest that industrial infrastructure and education need to be adapted in line with the 4 Industrial Revolution. In education, on the one hand, schools, training and university programs need to be adoptive and, on the other hand, an entrepreneurial approach is needed to increase the information technologies and innovation skills of the workforce. To sustain economic growth, emerging economies need education and training programs to develop skills, especially digital, which are increasingly in demand in the labour market. Digital competence is not just the ability to surf the Internet, it can be broken down into many smaller components. It should be also noted that digital competence, can be seen also as a transversal competence, it also helps develop other essential skills, such as communication, language skills or basic knowledge in mathematics or science. The European Commission has developed the Digital Competences Framework for Europeans (DigComp), which is divided into five areas: information and data literacy; communication and cooperation; digital content creation; safety; and problem solving. The empirical part of the study includes a comparative analysis of the use of technology in mathematics studies at the Latvia University of Life Sciences and Technologies and the Estonian University of Life Sciences, and a student survey to assess the development of digital competencies in mathematics studies at the university by five components identified in DigComp, as well as to identify which e-learning tools (informative and interactive) and internet resources looking for specific information or using other mathematics software besides MatLab or MathCad are included in the course. The analysis of students’ digital skills shows that these are quite good. However, the biggest problems for students were solving problems, such as storing files in the cloud, editing videos/photos, solving technical problems related to studying mathematics, and solving security problems.
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