Research Article
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Year 2020, Volume: 5 Issue: 2, 30 - 34, 01.07.2020

Abstract

References

  • Campbell, J. P., DeBlois, P. B., & Oblinger, D. G. (2007). Academic analytics: A new tool for a new era. EDUCAUSE review, 42(4), 40.
  • Daniel, B. (2015). Big Data and analytics in higher education: Opportunities and challenges. British Journal of Educational Technology, 46(5), 904-920.
  • Drigas, A. S., Argyri, K., & Vrettaros, J. (2009, September). Decade review (1999-2009): Artificial intelligence techniques in student modeling. In World Summit on Knowledge Society (pp. 552-564). Springer, Berlin, Heidelberg.
  • Hinojo-Lucena, F. J., Aznar-Díaz, I., Cáceres-Reche, M. P., & Romero-Rodríguez, J. M. (2019). Artificial intelligence in higher education: A bibliometric study on its impact in the scientificliterature. Education Sciences, 9(1), 51.
  • Huda, M., Maseleno, A., Atmotiyoso, P., Siregar, M., Ahmad, R., Jasmi, K., & Muhamad, N. (2018). Big data emerging technology: insights into innovative environment for online learning resources. International Journal of Emerging Technologies in Learning (iJET), 13(1), 23-36. https://www.nmc.org/publication/nmc-horizon-report-2016- higher-education-edition/retrieved on13 January 2019
  • Luan, J. (2002). Data mining and its applications in higher education. New directions for institutional research, 113, 17-36.
  • Ma, Y., & Siau, K. L. (2018). Artificial intelligence impacts on higher education. MWAIS Proceedings, 42.
  • McDermott, D. (2008, February). Why ethics is a high hurdle for AI. In North American Conference on Computers and Philosophy.
  • Mikalef, P., Pappas, I. O., Krogstie, J., & Giannakos, M. (2018). Big data analytics capabilities: a systematic literature review and research agenda. Information Systems and e-Business Management, 16(3), 547- 578.
  • Wang, Y., Kung, L., & Byrd, T. A. (2018). Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations. Technological Forecasting and Social Change, 126, 3-13.
  • Roll, I., & Wylie, R. (2016). Evolution and revolution in artificial intelligence in education. International Journal of Artificial Intelligence in Education, 26(2), 582-599.
  • Siau K. (2018) Education in the Age of Artificial Intelligence: How will Technology Shape Learning? The Global Analyst, 7(3), 22-24.
  • Sclater, N., Peasgood, A., & Mullan, J. (2016). Learning analytics in higher education. London: Jisc. Accessed February, 8, 2017.
  • Tulasi, B. (2013). Significance of Big Data and analytics in higher education. International Journal of Computer Applications, 68(14).

Artificial Intelligence - A New Horizon in Indian Higher Education

Year 2020, Volume: 5 Issue: 2, 30 - 34, 01.07.2020

Abstract

Technology is profoundly transforming our everyday lives. Artificial intelligence is about the development of machine that mimics human intelligence, which can learn from experiences and make rational decisions. Big data is data, which is exploded from internet in high volume, velocity and in variety. The large data repositories containing past and present data are the basis of predictive analytics and AI. Thus, the blending of education with ICT has shifted the education system from traditional classroom teacher centric to flexible anywhere anytime (24x7) learner centric model. AI is the best way to effectively address students and enables organization to discover their capabilities in different aspects. Today robots are accomplishing array of simple and complex tasks in various organizations. This article will give overview of AI along with its role in the field of higher education, focusing on the enhancement of human capabilities, empowering staff and interactive learning. The application of AI in higher education institution in this complex and competitive environment is associated with many contemporary challenges like high cost, lack of expert personnel, weak soft skills, lack of social skill, ethical behavior and sentiments, technical disorder, workforce displacement etc. Therefore, machines are not yet ready to replace human but are contributing a lot in enhancing human capabilities. So, to avoid the complete replacement of human by machine, teachers has to develop high order thinking, creativity, metacognition and human skill among students which machine can’t learn. In this way, we can create balance between the hard skills and soft skills.

References

  • Campbell, J. P., DeBlois, P. B., & Oblinger, D. G. (2007). Academic analytics: A new tool for a new era. EDUCAUSE review, 42(4), 40.
  • Daniel, B. (2015). Big Data and analytics in higher education: Opportunities and challenges. British Journal of Educational Technology, 46(5), 904-920.
  • Drigas, A. S., Argyri, K., & Vrettaros, J. (2009, September). Decade review (1999-2009): Artificial intelligence techniques in student modeling. In World Summit on Knowledge Society (pp. 552-564). Springer, Berlin, Heidelberg.
  • Hinojo-Lucena, F. J., Aznar-Díaz, I., Cáceres-Reche, M. P., & Romero-Rodríguez, J. M. (2019). Artificial intelligence in higher education: A bibliometric study on its impact in the scientificliterature. Education Sciences, 9(1), 51.
  • Huda, M., Maseleno, A., Atmotiyoso, P., Siregar, M., Ahmad, R., Jasmi, K., & Muhamad, N. (2018). Big data emerging technology: insights into innovative environment for online learning resources. International Journal of Emerging Technologies in Learning (iJET), 13(1), 23-36. https://www.nmc.org/publication/nmc-horizon-report-2016- higher-education-edition/retrieved on13 January 2019
  • Luan, J. (2002). Data mining and its applications in higher education. New directions for institutional research, 113, 17-36.
  • Ma, Y., & Siau, K. L. (2018). Artificial intelligence impacts on higher education. MWAIS Proceedings, 42.
  • McDermott, D. (2008, February). Why ethics is a high hurdle for AI. In North American Conference on Computers and Philosophy.
  • Mikalef, P., Pappas, I. O., Krogstie, J., & Giannakos, M. (2018). Big data analytics capabilities: a systematic literature review and research agenda. Information Systems and e-Business Management, 16(3), 547- 578.
  • Wang, Y., Kung, L., & Byrd, T. A. (2018). Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations. Technological Forecasting and Social Change, 126, 3-13.
  • Roll, I., & Wylie, R. (2016). Evolution and revolution in artificial intelligence in education. International Journal of Artificial Intelligence in Education, 26(2), 582-599.
  • Siau K. (2018) Education in the Age of Artificial Intelligence: How will Technology Shape Learning? The Global Analyst, 7(3), 22-24.
  • Sclater, N., Peasgood, A., & Mullan, J. (2016). Learning analytics in higher education. London: Jisc. Accessed February, 8, 2017.
  • Tulasi, B. (2013). Significance of Big Data and analytics in higher education. International Journal of Computer Applications, 68(14).

Details

Primary Language English
Subjects Artificial Intelligence
Journal Section Research Article
Authors

Harshita BHATNAGAR This is me 0000-0002-2882-2554

Publication Date July 1, 2020
Submission Date January 22, 2020
Published in Issue Year 2020 Volume: 5 Issue: 2

Cite

APA BHATNAGAR, H. (2020). Artificial Intelligence - A New Horizon in Indian Higher Education. Journal of Learning and Teaching in Digital Age, 5(2), 30-34.

Journal of Learning and Teaching in Digital Age 2023. © 2023. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. 19195

Journal of Learning and Teaching in Digital Age. All rights reserved, 2023. ISSN:2458-8350