Assessing students’ perception of the academic features of the Gyankunj Project
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2025.16.spl-1.07Keywords:
Gyankunj Project, Student Perception, Academic Features, Multimedia Learning, Animation in Education, Language ClarityDimensions Badge
Issue
Section
License
Copyright (c) 2025 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
The Gyankunj Project incorporates several advanced features designed to enrich the educational experience (Parmar, 2022). A key element of the project is its integration of multimedia resources, including audio and video components, which are intended to make learning more engaging and interactive. These multimedia features aim to boost student enthusiasm and facilitate better retention of information. Another important aspect is the use of animation, which helps simplify complex concepts and make lessons more accessible. This visual approach allows students to understand challenging topics with greater ease, thereby improving their overall grasp of the subject matter. This study delves into students’ views on how effectively these features support their educational needs. The research specifically focuses on understanding the impact of multimedia elements, such as audio and video, the effectiveness of animation in simplifying lessons, and the clarity of language used in the project. Additionally, the study explores how students’ demographic profiles, such as age, gender, and faculty, affect their perceptions of these academic features. With a sample size of 500 students from Gujarat state, the study provides comprehensive insights into the broader student experience with the Gyankunj Project. The findings highlight the positive influence of multimedia tools and clear language on student engagement and comprehension while also revealing how demographic factors shape these perceptions.Abstract
How to Cite
Downloads
Similar Articles
- Dileep Pulugu, Shaik K. Ahamed, Senthil Vadivu, Nisarg Gandhewar, U D Prasan, S. Koteswari, Empowering healthcare with NLP-driven deep learning unveiling biomedical materials through text mining , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Surender Singh, Rachna Thakur, Suchitra Devi, Globalization and Indian Negotiation on Agriculture , The Scientific Temper: Vol. 13 No. 02 (2022): The Scientific Temper
- V Maria Jenifer, M Mary Mejrullo Merlin, The Architectural Features of Peruvudaiyar Kovil (BRIHADEESWARAR TEMPLE) , The Scientific Temper: Vol. 16 No. 11 (2025): The Scientific Temper
- Muhammed Jouhar K. K., Dr. K. Aravinthan, An improved social media behavioral analysis using deep learning techniques , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Karthik Gangadhar, Prem Kumar N, Neuroprotective activity of alcoholic extract of Operculina turpethum roots in aluminum chloride-induced Alzheimer’s disease in rats , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Lakshminarayani A, A Shaik Abdul Khadir, A blockchain-integrated smart healthcare framework utilizing dynamic hunting leadership algorithm with deep learning-based disease detection and classification model , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Archana G, Vijayalakshmi V, Improving classification precision for medical decision systems through big data analytics application , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Jayalakshmi K., M. Prabakaran, The role of big data in transforming human resource analytics: A literature review , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- C. Premila Rosy, Clustering of cancer text documents in the medical field using machine learning heuristics , The Scientific Temper: Vol. 16 No. 05 (2025): The Scientific Temper
- Shobhit Shukla, Suman Mishra, Gaurav Goel, River flow modeling for flood prediction using machine learning techniques in Godavari river, India , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
<< < 12 13 14 15 16 17 18 19 20 21 > >>
You may also start an advanced similarity search for this article.

