基于二维码的印度高等教育机构实验室资源管理教学

V. K. Patil, Kiran D. Patil, Shrikant Gaikwad, Satyajit Yadav
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引用次数: 0

摘要

摘要:数字化教育与传统教学的融合需要对现有的教学方法进行改革。最近,印度通过了新教育政策2020 (NEP 2020)。新经济政策2020将重点放在以技能为基础的混合教育上,提供多种出入境设施。学习者将在实验室学习这些技能。由于有多个入口和出口点,不同技能水平和优势的学生可以相互作用,并有机会观察人类的行为。另一方面,这些聚会可以看作是为管理部门和用户开发适当资源的机会。因此,有必要处理和引入一种新的方法来更新实验室的管理、行政和学生处理方法。本文提出了一种利用物联网和二维码技术的新方法。所提出的方法具有快速、方便的读取二维条码的能力,即快速响应码(QR码),以系统的方式排列,便于操作。实验室的组成部分,如布告栏内容、所有的表格、表格、表格、表格、表格、表格、表格、表格、表格、表格、表格、表格、表格、表格、表格、表格、表格、表格、表格、表格、表格、表格、表格、表格、表格、表格、表格、表格、表格、表格、表格、表格、表格等,都可以有条不紊地安排和有效地利用。在这项研究中,我们提出了一个基于树莓派的QR码扫描仪的实验室管理系统。为了提高学生在高等教育中实验课的学习体验,采用OpenCV和ZBar库实现了系统的实现。关键词:二维码;棉结2020;覆盆子π;thingspeak云;实验室管理;物联网。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
QR Code-Based Pedagogy for Laboratory Resource Management in Indian Higher Education Institutes
Abstract: Blending digital education with traditional teaching learning requires revamping current pedagogical approaches. Recently India has adopted a New Education Policy 2020 (NEP 2020). NEP 2020 has given the focus on skill-based blended education with multiple entries and exit facilities. The learners will learn the skills in the laboratory. Students with varying skill levels and edges interact and have the opportunity to observe human behaviours as a result of the multiple entry and exit points. On the other hand, these gatherings can be viewed as opportunities to develop appropriate resources for both administrations and users. Hence there is a need to deal with and introduce a novel approach for updating laboratory management, administration and student handling approach. This article proposes a new methodology with the Internet of things and QR code technology. Proposed method has quickly and readily reading capability of a two-dimensional barcode called a Quick response code (QR code) arranged in systematic manner for ease of operation. The Laboratory components such as noticeboard contents,l a b m a n u a l s , s a f e t y i n s t r u c t i o n s , v i d e o demonstrations, attendance can be methodically arranged and utilised in the efficient manner. In this research, we are presenting laboratory management system having a Raspberry Pi-based QR Code Scanner. The system implementation is implemented with OpenCV and the ZBar library to improve students' laboratory course learning experiences in higher education. Keywords: QR code; NEP 2020; raspberry pi; thingspeak cloud; lab management; Internet of Things.
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CiteScore
1.20
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