【关于学科学习的数字化转型】

IF 2.1 Q1 EDUCATION & EDUCATIONAL RESEARCH
I. Stolbova, L. Kochurova, K. Nosov
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引用次数: 2

摘要

数字化教育的开展是由于教育过程的深刻变革和数字教育技术的广泛应用。在学科学习的框架内,数字技术正在从根本上改变所教授学科的内容及其呈现形式。以工科大学生基础几何图形训练为例,探讨在学科训练框架下创建数字教育环境的经验。目前,影响GGT形成的主要因素是工程教育的范式和设计与开发活动的方法论,它们随着信息技术的发展发生了巨大的变化。图形教育的基本概念应该最初和完全基于数字3D(体积)模型,该模型结合了产品生命周期各个阶段的信息。与此同时,应用几何方面应优先于抽象几何和图形,不要低估理论基础在基本GGP中的作用。提出了建立几何图形培训DEE的体系结构,它集成了所有类型的教育活动,并基于教育过程各个阶段在数字环境中学习过程的“连续性”原则。注意到在各种形式的培训课程中功能性地使用数字技术,使学生能够在考虑到个性化的情况下进行独立活动。给出了图形任务、设计任务和测试任务的实例。在组织DEE条件下的监测时,可以根据DEE系统和GGT的范例概念使用、调整和整合现有的方法发展。在评估数字能力时对学习成果的监测,以及测试控制的不断改进,意味着它与其他形式的学生成绩评估相结合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
K voprosu o tsifrovoj transformatsii predmetnogo obucheniya [About digital transformation of subject learning]
Digital education is carried out due to a deep transformation of the educational process and widespread use of digital educational technologies. Within the framework of subject learning, digital technologies are radically changing the content of the disciplines taught and the form of their presentation. The experience of creating a digital educational environment (DEE) in the framework of subject training is considered on the example of basic geometric and graphic training (GGT) of technical university students. Currently, the main factors shaping GGT are the paradigm of engineering education and methodology of design and development activities, which have undergone dramatic changes with the development of information technology. The basic concept of graphic education should initially and entirely be based on a digital 3D (volumetric) model that combines information about a product at all stages of its life cycle. At the same time, applied geometric aspects should prevail over abstract geometry and graphics, not underestimating the role of theoretical foundations in the basic GGP. The architecture of building DEE of geometric-graphic training is presented, which integrates all types of educational activities and is based on the principle of “continuity” of the learning process in a digital environment at all stages of the educational process. The functional use of digital technologies in various forms of training sessions, which allows students to carry out independent activities, taking into account personalization, is noted. Practical examples of graphic tasks, design and test tasks are given. When organizing monitoring in DEE conditions, existing methodological developments can be used, adapted and integrated in terms of the DEE system and the paradigmatic concept of GGT. Monitoring of learning outcomes in assessing digital competence, along with the constant improvement of test control, implies its completion with other forms of assessing the achievements of students.
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来源期刊
Informatics in Education
Informatics in Education EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
6.10
自引率
3.70%
发文量
20
审稿时长
20 weeks
期刊介绍: INFORMATICS IN EDUCATION publishes original articles about theoretical, experimental and methodological studies in the fields of informatics (computer science) education and educational applications of information technology, ranging from primary to tertiary education. Multidisciplinary research studies that enhance our understanding of how theoretical and technological innovations translate into educational practice are most welcome. We are particularly interested in work at boundaries, both the boundaries of informatics and of education. The topics covered by INFORMATICS IN EDUCATION will range across diverse aspects of informatics (computer science) education research including: empirical studies, including composing different approaches to teach various subjects, studying availability of various concepts at a given age, measuring knowledge transfer and skills developed, addressing gender issues, etc. statistical research on big data related to informatics (computer science) activities including e.g. research on assessment, online teaching, competitions, etc. educational engineering focusing mainly on developing high quality original teaching sequences of different informatics (computer science) topics that offer new, successful ways for knowledge transfer and development of computational thinking machine learning of student''s behavior including the use of information technology to observe students in the learning process and discovering clusters of their working design and evaluation of educational tools that apply information technology in novel ways.
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