A literature review on the information literacy competency among scholars of co-education colleges and women’s colleges
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2024.15.spl.31Keywords:
Information literacy competency, Information literacy standards and models, Co-education institutions, Research scholarsDimensions 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.
This literature review investigates information literacy competency (ILC) among scholars in coeducational and women’s colleges, exploring the disparities, influencing factors, and educational impacts within these distinct academic settings. Information literacy, a critical skill for navigating the digital era, empowers students to evaluate, access, and utilize information effectively. This review synthesizes findings from diverse studies, comparing ILC levels between scholars in coeducational and women’s colleges and considering variables such as academic discipline, institutional resources, and the pedagogical environment. Research indicates that while coeducational institutions provide a broader range of resources and peer interactions, women’s colleges often emphasize collaborative and inclusive pedagogies that may enhance ILC. However, disparities in competency levels persist due to variations in information literacy training and institutional support structures. This review identifies key areas where ILC training could be improved, particularly through targeted interventions tailored to the needs of each educational setting. The findings underscore the need for comprehensive information literacy programs to equip scholars with essential competencies, ultimately fostering academic success and lifelong learning across diverse educational contexts.Abstract
How to Cite
Downloads
Similar Articles
- V. Seethala Devi, N. Vanjulavalli, K. Sujith, R. Surendiran, A metaheuristic optimisation algorithm-based optimal feature subset strategy that enhances the machine learning algorithm’s classifier performance , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- S. Munawara Banu, M. Mohamed Surputheen, M. Rajakumar, Enhanced AOMDV-based multipath routing approach for mobile ad-hoc network using ETX and ant colony optimization , The Scientific Temper: Vol. 16 No. 06 (2025): The Scientific Temper
- Saarumathi R, Ritha W, Impregnable inventory stewardship for a closed loop supply chain besides energy usage, defective production and green investment manoeuvring pentagonal fuzzy number , The Scientific Temper: Vol. 16 No. 01 (2025): The Scientific Temper
- Chetna Dhull, Asha ., Impact of crop insurance and crop loans on agricultural growth in Haryana: A factor analysis approach , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- Iftikhar A. Tayubi, Mayur D. Jakhete, Spoorthi B. Shetty, Ashish Verma, Mohit Tiwari, S. Kiruba, Sustainable healthcare AI-enhanced materials discovery and design for eco-friendly and biocompatible medical applications , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Elangovan G. Reddy, Anjana Devi V, Subedha V, Tirapathi Reddy B, Viswanathan R, A smart irrigation monitoring service using wireless sensor networks , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Amanda Q. Okronipa, Jones Y. Nyame, Exploring the effect of perceived empathy and social presence on the intention to use AI in higher education , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Geetha Satish Pisharody, Sanjay Gupta, Effect of School Aspects on the Adversity Profile of Higher Secondary School Students , The Scientific Temper: Vol. 16 No. 12 (2025): The Scientific Temper
- P. Pattunnarajam, Janani G, A. Vijayaraj, Sathiya Priya S, Enhanced routing strategy of wireless sensor network based on fifth generation communication technology , The Scientific Temper: Vol. 14 No. 04 (2023): 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
<< < 9 10 11 12 13 14 15 16 17 18 > >>
You may also start an advanced similarity search for this article.

