Journal of Engineering Education Transformations

Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

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
     

   Subscribe/Renew Journal


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.
Subscription Login to verify subscription
User
Notifications
Font Size


  • National Education Policy 2020, Ministry of Human Resource Development, Government of India Available: https://www.education.gov.in/sites/upload_files/mhrd/files/NEP_Final_English_0.pdf.

  • Government of India Ministry of Education Department of Higher Education (2022). Draft National Higher Education Qualifications Framework. Retrieved from https://www.ugc.ac.in., Med, C. I. (2006).

  • Chan, C. K. Y., & Fok, W. W. T. (2009). Evaluating the learning experiences in virtual laboratory training in electrical and electronic engineering through student perceptions - a case study in the University of Hong Kong, engineering education. The Journal of the Higher Education Academy Engineering Subject Centre, 4(2), 70–75.

  • Gupta, B. L., and Choubey, A. K. (2021). Higher Education Institutions–Some Guidelines for Obtaining and Sustaining Autonomy in the Context of NEP2020. Higher Education, 9(1).

  • Nadaf, Raju, and Vasudha Bonal. "Smart Mirror using Raspberry Pi as a security and vigilance system." 2019, 3rd International Conference on Trends in Electronics and Informatics (ICOEI). IEEE, 2019.

  • Nagamma, N. N., M. V. Lakshmaiah, and T. Narmada. "Raspberry Pi base biometric authentication vehicle door locking system." 2017 IEEE International Conference on Power, Control, Signa ls and Instrument a tion Engineering (ICPCSI). IEEE, 2017.

  • Devasena, C. Lakshmi. "Three-Factor Authentication for Fortified Login to Ensure Privacy Preservation and Improved Security." International Journal of Applied Engineering Research 13.10 (2018): 7576-7579.

  • Kousalya, Sudha, et al. "IOT based smart security and smart home automation." Int. J. Eng. Res. Technol.(IJERT) 7.04 (2018): 2278-0181.

  • Murugan, KH Shakthi, V. Jacintha, and S. Agnes Shifani. "Security system using raspberry Pi." 2017 Third International Conference on Science Technology Engineering & Management (ICONSTEM). IEEE, 2017.

  • Hussein, Naser Abbas, and Inas Al Mansoori. "Smart door system for home security using raspberry pi3." 2017 International Conference on Computer and Applications (ICCA). IEEE, 2017.

  • Dinesh Seth, Minhaj Ahemad A. Rehman, “Critical success factors-based strategy to facilitate green manufacturing for respons ible business: An application experience in Indian context”, Bus Strat Env. 2022; 31:2786–2806., DOI: 10.1002/bse.


Abstract Views: 164

PDF Views: 0




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

Abstract Views: 164  |  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