Journal of Engineering Education Transformations

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


Affiliations
1 Department of Electronics and Telecommunication Engineering, AISSM'S Institute of Information Technology, Pune, India
2 School of Chemical Engineering, MIT World Peace University, Paud Road, Kothrud, Pune-4110 38, India
3 Department of Electronics and Telecommunication Engineering, AISSM'S Institute of Information Technology, Pune-411 001, India
     

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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, lab manuals, safety instructions, video 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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  • QR Code-Based Pedagogy for Laboratory Resource Management in Indian Higher Education Institutes

Abstract Views: 165  |  PDF Views: 0

Authors

Varsha K. Patil
Department of Electronics and Telecommunication Engineering, AISSM'S Institute of Information Technology, Pune, India
Kiran D. Patil
School of Chemical Engineering, MIT World Peace University, Paud Road, Kothrud, Pune-4110 38, India
Shrikant Gaikwad
Department of Electronics and Telecommunication Engineering, AISSM'S Institute of Information Technology, Pune-411 001, India
Satyajit Yadav
Department of Electronics and Telecommunication Engineering, AISSM'S Institute of Information Technology, Pune-411 001, India

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, lab manuals, safety instructions, video 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.

References