Designing Employability-Oriented Curriculum in English Studies: A Skill-Based Approach
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2026.17.4.01Keywords:
Employability Skills; Curriculum Design; English Studies; Industry-Academia Collaboration.Dimensions Badge
Issue
Section
License
Copyright (c) 2026 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Abstract
In today's competitive global job market, the value of a college degree goes beyond just imparting factual information; it also involves developing marketable abilities. English Studies, previously centered on literature and cultural knowledge acquisition, is now required to be aligned with industry requirements and skill acquisition. The purpose of this article is to investigate the incorporation of employability skills into the curriculum designed for English Studies programs. This study investigates the ways in which students might benefit from a literature-based education in terms of developing abilities that are essential in a variety of business sectors, including critical thinking, communication, creativity, emotional intelligence, teamwork, and problem-solving. The research proposes an employability-based English Studies program curriculum framework that incorporates literature-based knowledge acquisition and industry-based skill acquisition. This research has provided significant insights into how to bridge the gap between theoretical knowledge of literature and the development of practical abilities in the workplace. This has been accomplished by reframing English Studies as a field of study that is dynamic. The study has offered important suggestions for rethinking English Studies as a transformational curriculum framework that prioritises career development and lifelong learning, in addition to literature-based knowledge acquisition as cultural capital.
How to Cite
Downloads
Similar Articles
- Asha Bavarava Bavarava, Dr. Shailendra Hridayanand Pandey, Reimagining Sita’s Voice in Select Retellings of the Ramayana , The Scientific Temper: Vol. 17 No. 04 (2026): The Scientific Temper
- Nand Kishore, Abhaya Kumar Singh, THE ROLE OF REMOTE SENSING TECHNOLOGY IN COUNTERNAXALITE OPERATIONS: PROBLEMS AND PROSPECTS , The Scientific Temper: Vol. 1 No. 01 (2010): The Scientific Temper
- Gourav Kalra, Arun Kumar Gupta, Multi-response Optimization of Machining Parameters in Inconel 718 End Milling Process Through RSM-MOGA , The Scientific Temper: Vol. 13 No. 02 (2022): The Scientific Temper
- Kanthalakshmi S, Nikitha M. S, Pradeepa G, Classification of weld defects using machine vision using convolutional neural network , The Scientific Temper: Vol. 14 No. 01 (2023): The Scientific Temper
- S. C. Prabha, P. Sivaraaj, S. Kantha Lakshmi, Data analysis and machine learning-based modeling for real-time production , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Sachin V. Chaudhari, Jayamangala Sristi, R. Gopal, M. Amutha, V. Akshaya, Vijayalakshmi P, Optimizing biocompatible materials for personalized medical implants using reinforcement learning and Bayesian strategies , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- Priya Nandhagopal, Jayasimman Lawrence, ETTG: Enhanced token and tag generation for authenticating users and deduplicating data stored in public cloud storage , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- L. Amudavalli, K. Muthuramalingam, Energy-efficient location-based routing protocol for wireless sensor networks using teaching-learning soccer league optimization (TLSLO) , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Anand Mishra, Manish Kumar Dube, Harnam Singh Lodhi, Ambrina Sardar Khan, Studies on behavior and morphological changes in freshwater fish, Channa punctatus, under the exposure of untreated sewage water , The Scientific Temper: Vol. 16 No. 04 (2025): The Scientific Temper
- S V Arulvani, Dr. C. Jayanthi, Logistic Elitist Liquid Neural Network For Student Dropout Prediction , The Scientific Temper: Vol. 17 No. 02 (2026): The Scientific Temper
<< < 17 18 19 20 21 22 23 24 25 26 > >>
You may also start an advanced similarity search for this article.

