Evaluating the effectiveness of the Gyankunj Project: Teachers’ perceptions from Gujarat
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2024.15.spl-2.14Keywords:
Gyankunj Project, Educational technology, Teacher perceptions, Academic improvement, Student engagementDimensions Badge
Issue
Section
License
Copyright (c) 2024 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
The Gyankunj Project is a pivotal initiative aimed at transforming the educational framework in Gujarat by integrating advanced digital tools into the classroom. This project raises the overall level of education by modernizing classrooms and bringing teaching methods in line with contemporary educational standards (Chaudhari, A. N. 2022). This enhancement ensures that students receive a quality education that is relevant to today’s technological advancements. This study aims to evaluate the effectiveness of the Gyankunj Project in enhancing educational outcomes from the perspective of teachers in Gujarat. By targeting a sample size of 350 teachers, the research investigates their perceptions regarding the project’s impact on academic ability, the overall level of education, and student engagement. The research also examines the relationship between the demographics of instructor’s age, gender, and faculty in particular and their perceptions of the initiative’s success. Findings reveal that teachers overwhelmingly believe the Gyankunj Project improves academic abilities, raises educational standards, and increases student engagement. Moreover, positive perceptions are consistently observed across different demographic groups, highlighting the project’s broad-based acceptance and effectiveness. The study underscores the significance of the Gyankunj Project in modernizing education and its potential to make a substantial and lasting impact on the educational landscape of Gujarat.Abstract
How to Cite
Downloads
Similar Articles
- Archana Verma, Role of artificial intelligence in evaluating autism spectrum disorder , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Anita Mathew, Sneha Kanade, Fostering safe and inclusive workplace toward a sustainable and high-performing work culture , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Ashish Nagila, Abhishek K Mishra, The effectiveness of machine learning and image processing in detecting plant leaf disease , The Scientific Temper: Vol. 14 No. 01 (2023): The Scientific Temper
- V Anitha, Seema Sharma, R. Jayavadivel, Akundi Sai Hanuman, B Gayathri, R. Rajagopal, A network for collaborative detection of intrusions in smart cities using blockchain technology , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Anurag B. Gohain1, Devanand Mishra, Vithou U Mera, Content analysis of academic library website with special reference to the central universities in Northeast India , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Hemamalini V., Victoria Priscilla C, Deep learning driven image steganalysis approach with the impact of dilation rate using DDS_SE-net on diverse datasets , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Antra Vohra, Eldhose Thomas, Color and its association with emotions: The power tools in branding , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Ritika Goyal, Payal Thakur, Influence of Entrepreneurial Characteristics on the Performance of MSMEs in Gautam Buddha Nagar , The Scientific Temper: Vol. 17 No. 01 (2026): The Scientific Temper
- Dharmendra Singh, Surabhi Singh, Identification of Microsatellite DNA for Population Genetic Analysis in Tor tor , The Scientific Temper: Vol. 11 No. 1&2 (2020): The Scientific Temper
- Vatsal Parashar, Dimple Raina, Shweta Sahni, Molecular profiling and prevalence of hepatitis B virus (HBV) in clinical isolates and its importance , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
<< < 26 27 28 29 30 31 32 33 34 35 > >>
You may also start an advanced similarity search for this article.

