Smart Green Classroom and Machine Learning to Promote Green Awareness for Sustainable Livings

Pal, Subhasree; Bhattacharya, Souren; Mustafi, Subhranil; Mitra, Shankar

doi:10.21608/ihites.2021.107726.1081

Smart Green Classroom and Machine Learning to Promote Green Awareness for Sustainable Livings

Document Type : Original Article

Authors

¹ Research Scholar, Department of Education, NSOU, West Bengal, India

² Research Scholar, University of Technology, Jaipur, India.

³ Kalyani Government Engineering College, India

⁴ Panchkhela High School,India

10.21608/ihites.2021.107726.1081

Abstract

The gyration of development has been started through an unwise input that natural resources are abundant and surplus to use. To boost up a sustainable ambience for present generation as well as for the future generation, metamorphosis is initiated to adopt green transformation in the society, in every sphere of life including Education. If education is getting assembled with techno savvy approaches putting a bird’s eye on green conversion, the world again rejuvenates with all its blooms. Machine learning and deep learning can be utilised for mining acquainted knowledge from natural unpolished circumstances to provide necessary inputs in teaching learning process to bring out most desirable outcomes to transfer the society into green and habitable one. The main aim of this paper is to anatomise to understand the interconnection between machine learning and green education to effectuate sustainability. For this different machine learning process are discussed, probable changes in infrastructure and curriculum are prescribed to generate future green soldiers who value the green and sustainability. This paper analyses the applicability and different dimensions of introducing green classroom along with various machine learning techniques are mentioned to amalgamate two different halves into making one.

Keywords

Main Subjects

Educational Technology

Article History

Receive Date: 2022/10/29

Revise Date: 2022/11/20

Accept Date: 2022/11/23

Publish Date: 2022/12/22

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