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Academic Policy Regarding Sustainability and Artificial Intelligence (AI)

Author

Listed:
  • Muhammad Tanveer

    (Lincoln University College, Kota Bharu 15050, Malaysia)

  • Shafiqul Hassan

    (Prince Sultan University, Riyadh 66833, Saudi Arabia)

  • Amiya Bhaumik

    (Lincoln University College, Kota Bharu 15050, Malaysia)

Abstract

Artificial intelligence (AI) has grown, and technologies have intensified across all fields of life, particularly in education. AI has been applied to resources to improve skills giving teachers the time and freedom to provide understanding and adaptability and drive performance. This paper, written for policymakers in the field of education, highlights the impact of AI and advancements in academic policy. These academic policymakers generate ideas and strategies for applying AI across various disciplines. There is also discussion around AI implementation in education throughout developing nations for moving towards and ensuring affordable, high-quality education for every individual. Education for sustainable development (ESD) aims to promote the development of knowledge, skills, understanding, values and actions necessary to build a sustainable world, to protect and preserve the environment, and promote social equity and economic sustainability. This paper analyses how AI can be used to update learning probabilities by providing examples of how it can be integrated with existing educational systems, using data to improve educational capital and quality in developing countries. It goes on to discuss whether policymakers and institutions can reinvent and rework educational programs to polish graduates’ skills for the growing presence of AI across all disciplines. There are four main parts to this work: (1) different dimensions regarding the complexities and potential implications, (2) the pros and cons of educational sustainability policy related to AI, (3) carving out AI and its outstanding execution, and finally (4) the linkage of AI with higher education within the context of educational expansions. In conclusion, the paper focuses on AI’s applications, benefits and sustainable development education challenges.

Suggested Citation

  • Muhammad Tanveer & Shafiqul Hassan & Amiya Bhaumik, 2020. "Academic Policy Regarding Sustainability and Artificial Intelligence (AI)," Sustainability, MDPI, vol. 12(22), pages 1-13, November.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:22:p:9435-:d:444187
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    1. R. E. Bellman & L. A. Zadeh, 1970. "Decision-Making in a Fuzzy Environment," Management Science, INFORMS, vol. 17(4), pages 141-164, December.
    2. Daron Acemoglu & Pascual Restrepo, 2018. "Artificial Intelligence, Automation, and Work," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 197-236, National Bureau of Economic Research, Inc.
    3. Nicola Jones, 2018. "How to stop data centres from gobbling up the world’s electricity," Nature, Nature, vol. 561(7722), pages 163-166, September.
    4. Rachel Courtland, 2018. "Bias detectives: the researchers striving to make algorithms fair," Nature, Nature, vol. 558(7710), pages 357-360, June.
    5. Daron Acemoglu & Pascual Restrepo, 2018. "Artificial Intelligence, Automation and Work," Boston University - Department of Economics - Working Papers Series dp-298, Boston University - Department of Economics.
    6. Jie Gao & Xinping Huang & Lili Zhang, 2019. "Comparative Analysis between International Research Hotspots and National-Level Policy Keywords on Artificial Intelligence in China from 2009 to 2018," Sustainability, MDPI, vol. 11(23), pages 1-18, November.
    7. Ricardo Vinuesa & Hossein Azizpour & Iolanda Leite & Madeline Balaam & Virginia Dignum & Sami Domisch & Anna Felländer & Simone Daniela Langhans & Max Tegmark & Francesco Fuso Nerini, 2020. "The role of artificial intelligence in achieving the Sustainable Development Goals," Nature Communications, Nature, vol. 11(1), pages 1-10, December.
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    2. Tanveer, Muhammad & Hassan, Shafiqul & Mahmood, Haider & Khan, Syed Abdul Rehman, 2021. "The Use of Social Media by Managers During the Pandemic to Accomplish the Tasks," MPRA Paper 109249, University Library of Munich, Germany.
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    4. Afshan Younas & Kabaly P Subramanian & Mohammed Al-Haziazi & Syed Sadullah Hussainy & Ahmed Nasser Salem Al Kindi, 2023. "A Review on Implementation of Artificial Intelligence in Education," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 7(8), pages 1092-1100, August.
    5. Muhammad Tanveer & Abdul-Rahim Ahmad & Haider Mahmood & Ikram Ul Haq, 2021. "Role of Ethical Marketing in Driving Consumer Brand Relationships and Brand Loyalty: A Sustainable Marketing Approach," Sustainability, MDPI, vol. 13(12), pages 1-17, June.
    6. Aziza Usmanova & Ahmed Aziz & Dilshodjon Rakhmonov & Walid Osamy, 2022. "Utilities of Artificial Intelligence in Poverty Prediction: A Review," Sustainability, MDPI, vol. 14(21), pages 1-39, October.
    7. Tan Yigitcanlar, 2021. "Greening the Artificial Intelligence for a Sustainable Planet: An Editorial Commentary," Sustainability, MDPI, vol. 13(24), pages 1-9, December.
    8. Muhammad Tanveer & Harsandaldeep Kaur & George Thomas & Haider Mahmood & Mandakini Paruthi & Zhang Yu, 2021. "Mobile Phone Buying Decisions among Young Adults: An Empirical Study of Influencing Factors," Sustainability, MDPI, vol. 13(19), pages 1-18, September.
    9. Mahmood, Haider & Tanveer, Muhamamd & Ahmad, Abdul-Rahim & Furqan, Maham, 2021. "Rule of Law and Control of Corruption in Managing CO2 Emissions Issue in Pakistan," MPRA Paper 109250, University Library of Munich, Germany.
    10. Nayef Shaie Alotaibi & Awad Hajran Alshehri, 2023. "Prospers and Obstacles in Using Artificial Intelligence in Saudi Arabia Higher Education Institutions—The Potential of AI-Based Learning Outcomes," Sustainability, MDPI, vol. 15(13), pages 1-18, July.

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