A Conceptual Model for Social Media Enabled Intelligent Higher Education in the Era of Industry 4.0: Aligned with Oman Vision 2040

Authors

  • Indu Govinda Pillai Gulf College
  • Anju Mathew Cherian Gulf College
  • Greeshma Eliyan Gulf College
  • Bobby Sathyaseelan Gulf College

DOI:

https://doi.org/10.34190/ecsm.13.1.4714

Keywords:

Social Media in Education, Education 4.0, Industry 4.0, Intelligent Higher Education, Knowledge-Based Economy, Oman Vision 2040, Workforce Development

Abstract

The Industry 4.0 brings about technological revolutions in the higher education system to create an equitable and digitally enabled higher education system. However, in the case of Oman, several barriers to a fair and technology-driven education system exist, such as geographical barriers. This study proposes a conceptual model for the creation of a social media enabled and equitable and fourth industry revolution-based technology-enabled higher education system in Oman, incorporating Education 4.0. The methodology for the research was qualitative content analysis of academic literature on the technologically driven higher education system based on the triple helix model, Industry 4.0, and Oman Vision 2040. From the data analysis, four main domains were identified, which are training, research, technology, and policy. Moreover, five opportunities for the technologically driven higher education system were identified, which are adaptive personalized remote learning, job creation, global competitiveness, financial sustainability, and digitization of government services.  The conceptual model is proposed by mapping domains with opportunities within an intelligent collaborative educational ecosystem grounded in Industry 4.0 capabilities.

Author Biographies

Indu Govinda Pillai, Gulf College

Ms. Indu Govinda Pillai is a Computer Science lecturer at Gulf College, Oman, pursuing her PhD at Mother Teresa Women’s University. With 19 years of teaching experience and industrial experience as a programmer and system analyst, her research interests include artificial intelligence, big data analytics, and medical diagnostics, with a focus on innovative applications in higher education

ORCID: 0009-0004-5455-1788

Anju Mathew Cherian, Gulf College

Ms. Anju Mathew Cherian is a Computer Science Lecturer at Gulf College, Oman. She is currently pursuing her PhD at Mother Teresa Women’s University. She has 18 years of teaching experience. Her areas of interest include Machine Learning, Business Intelligence, and Big Data Analytics. She is passionate about integrating innovative technologies into teaching and research.

ORCID: 0009-0000-2549-4885

Greeshma Eliyan, Gulf College

Ms. Greeshma is an IT lecturer in Gulf College, Sultanate of Oman. She holds master’s degree in computer science from Kannur University, Kerala, India, and completed Executive Postgraduate Diploma in Data Science Programme from IIITB, India. She has 14 years of teaching experience and 3 years of industry experience as a programmer, with research interests in Artificial Intelligence, Data Science, and Software Engineering.

ORCID: 0009-0000-8584-2976

Bobby Sathyaseelan, Gulf College

Bobby Sathaseelan is a Computer Science lecturer and Acting Director of the Centre for Academic Support at Gulf College, Oman. She is pursuing her PhD from Mother Theresa University and holds memberships with Advance HE and OITS. Her interests include machine learning, AI, innovative teaching, and programming.

ORCID: 0000-0001-9673-9800

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Published

2026-05-13