The impact of online degree programs on employment opportunities in contemporary India
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2024.15.2.45Keywords:
Employment, Higher Education, Job Market, Online Education, Online Degree ProgramsDimensions 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 contemporary global economy demands a highly skilled and adaptable workforce, yet a persistent gap persists between the skills sought by employers and those possessed by the workforce. Online degree programs have emerged as a transformative solution, offering accessible and flexible pathways for individuals to acquire the skills necessary to meet the demands of the modern job market. However, despite their growing popularity, there remains a research gap in understanding their effectiveness, particularly in India. This research aims to evaluate the effectiveness of online degree programs in bridging the skills gap, preparing students for the workforce, and assessing the relevance of their curricula in meeting contemporary job market demands, particularly in India. The study employs a mixed-methods approach, including surveys with educators, students, and employers, as well as interviews with industry experts. The findings reveal that online degree programs play a significant role in closing the skills gap and fulfilling job market demands in contemporary India. The curricula of these programs are highly relevant and aligned with industry needs, offering practical learning experiences that enhance students’ employability. Moreover, online education provides an inclusive, flexible, and cost-effective approach to education, enabling individuals from diverse backgrounds to access quality education. Overall, this research underscores the importance of online degree programs in preparing individuals for success in a rapidly changing and competitive global economy. By leveraging the full potential of online education, we can create a workforce that is well-equipped to meet current industry needs and adapt to the challenges of the future.Abstract
How to Cite
Downloads
Similar Articles
- P. S. Dheepika, V. Umadevi, An optimized approach for detection and mitigation of DDoS attack cloud using an ensembled deep learning approach , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Saarumathi R, Ritha W, Conglomerate Charge and Merchandise Swayed Inventory Model for Fragile Vendibles , The Scientific Temper: Vol. 16 No. 01 (2025): The Scientific Temper
- Prince Grover, Dr. Bhaskar Kanaiyalal Pandya, The Integration of Grammar and Discourse in Academic Writing , The Scientific Temper: Vol. 17 No. 02 (2026): The Scientific Temper
- Namita R. Behera, A Study on credit facilities of micro, small, and medium enterprises at Syndicate Bank , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Arenlila Jamir, Sangeeta Kharde, Anita Dalal, Health-seeking behavior of first-time mothers toward pregnancy , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Suresh L. Chitragar, Occupational Structure of Population in the Malaprabha River Basin, Karnataka State, India; A Geographical Approach , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- K. Arunkumar, K. R. Shanthy, S. Lakshmisridevi, K. Thilagam, FR-CNN: The optimal method for slicing fifth-generation networks through the application of deep learning , The Scientific Temper: Vol. 16 No. 04 (2025): The Scientific Temper
- Deo Narayan, C. D. Agashe, K. D. Verma, Impact of Different Individual Games on Selected Personality Traits , The Scientific Temper: Vol. 12 No. 1&2 (2021): The Scientific Temper
- Sowmiya M, Banu Rekha B, Malar E, Assessment of transfer learning models for grading of diabetic retinopathy , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
- Adedotun Adedayo F, Odusanya Oluwaseun A, Adesina Olumide S, Adeyiga J. A, Okagbue, Hilary I, Oyewole O, Prediction of automobile insurance fraud claims using machine learning , 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.

