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QR Code-Based Pedagogy for Laboratory Resource Management in Indian Higher Education Institutes

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Bibliographic Details
Title: QR Code-Based Pedagogy for Laboratory Resource Management in Indian Higher Education Institutes
Authors: Varsha K. Patil, Kiran D. Patil, Shrikant Gaikwad, Satyajit Yadav
Source: Journal of Engineering Education Transformations. 36:76-85
Publisher Information: Rajarambapu Institute of Technology, 2023.
Publication Year: 2023
Subject Terms: 4. Education, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Description: 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.
Document Type: Article
ISSN: 2394-1707
2349-2473
DOI: 10.16920/jeet/2023/v36i4/23117
Accession Number: edsair.doi...........cd7c3a6f0fb2de48ee16d2a36dd793e3
Database: OpenAIRE
Description
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.
ISSN:23941707
23492473
DOI:10.16920/jeet/2023/v36i4/23117