CFP last date
20 January 2025
Reseach Article

An Empirical Study on Emerging Trends in Artificial Intelligence and its Impact on Higher Education

by Virendra Gawande, Huda Al Badi, Khaloud Al Makharoumi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 175 - Number 12
Year of Publication: 2020
Authors: Virendra Gawande, Huda Al Badi, Khaloud Al Makharoumi
10.5120/ijca2020920642

Virendra Gawande, Huda Al Badi, Khaloud Al Makharoumi . An Empirical Study on Emerging Trends in Artificial Intelligence and its Impact on Higher Education. International Journal of Computer Applications. 175, 12 ( Aug 2020), 43-47. DOI=10.5120/ijca2020920642

@article{ 10.5120/ijca2020920642,
author = { Virendra Gawande, Huda Al Badi, Khaloud Al Makharoumi },
title = { An Empirical Study on Emerging Trends in Artificial Intelligence and its Impact on Higher Education },
journal = { International Journal of Computer Applications },
issue_date = { Aug 2020 },
volume = { 175 },
number = { 12 },
month = { Aug },
year = { 2020 },
issn = { 0975-8887 },
pages = { 43-47 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume175/number12/31509-2020920642/ },
doi = { 10.5120/ijca2020920642 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:24:54.015596+05:30
%A Virendra Gawande
%A Huda Al Badi
%A Khaloud Al Makharoumi
%T An Empirical Study on Emerging Trends in Artificial Intelligence and its Impact on Higher Education
%J International Journal of Computer Applications
%@ 0975-8887
%V 175
%N 12
%P 43-47
%D 2020
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper investigates the various emerging trends in Artificial Intelligence (AI), and their impact on teaching and learning practices in Higher Education Institutions (HEIs). Many of the these AI technologies like Hologram technology, the technologies that supports Ubiquitous learning, technologies for Automated evaluations and grading, Green Computing, and Blended learning methodologies, can be used efficiently to shape the future of higher education and can bring innovations in teaching and learning. This study investigates the opportunities and the challenges in each of these areas, which might serve as a guideline for its adoption, and can also be extended further in the direction of research.

References
  1. Alebaikan R. & Troudi S. (2010). Blended learning in Saudi universities: challenges & perspectives. ALT-J Research in Learning Technology, 18(1), 49-59.
  2. Allen I. E. & Seaman J. (2006). Making the grade: Online education in the United States. Needham, MA: The Sloan Consortium.
  3. Amalia A., Gunawan D., Fithri Y. & Aulia I. (2019, June). Automated Bahasa Indonesia essay evaluation with latent semantic analysis. In Journal of Physics: Conference Series (Vol. 1235, No. 1, p. 012100). IOP Publishing.
  4. Baker R. S., D'Mello S. K., Rodrigo M. M. T. & Graesser A. C. (2010). Better to be frustrated than bored: The incidence, persistence & impact of learners’ cognitive–affective states during interactions with three different computer-based learning environments. International Journal of Human-Computer Studies, 68(4), 223-241.
  5. BBC News. (2000, January 13). Meet the hologram teacher. BBC News. Retrieved November 21, 2009.
  6. Bin L., Jun L., Jian-Min Y. & Qiao-Ming Z. (2008). Automated Essay Scoring Using the KNN Algorithm, International Conference on Computer Science & Software Engineering (IEEE).
  7. Bobolicu G., “Live hologram communication to become reality within five years”, 2009.
  8. Cho J. (2008, June 13). Talking to Mona Lisa & Michelangelo. ABC News.
  9. Cornell University (2008, November 26). “Reducing Your Carbon Footprint with eLearning,” eCornell.
  10. DeLacey B. J., & Leonard D. A. (2002). Case study on technology & distance in education at the Harvard Business School. Educational Technology & Society, 5(2), 13-28.
  11. Eddy L. J., Nor-Aziah A., & Jasmine J. (2014). Blended Learning: Examining Concepts & Practices. In E. Mohamed-Amin (Ed.), Blended & Flipped Learning: Case Studies in Malaysian HEIs. Bangi: Pusat Pengajaran & Teknologi Pembelajaran, Universiti Kebangsaan Malaysia.
  12. Ghuloum H. (2010). 3D Hologram Technology in Learning Environment, Proceedings of Informing Science & IT Education Conference.
  13. Gomez J., & Igado M. (2008). Blended learning: The key to success in a training company. International Journal of Instructional Technology & Distance Learning, 5(8).
  14. Graesser A. C., Wiemer-Hastings P., Wiemer-Hastings K., Harter D., Tutoring Research Group, T. R. G., & Person N. (2000). Using latent semantic analysis to evaluate the contributions of students in AutoTutor. Interactive learning environments, 8(2), 129-147.
  15. Harshada Satav, Trupti Nanekar, Supriya Pingale & Nupur (2012). SQL Based Paperless Examination System, International Knowledge Sharing Platform.
  16. Hasimah A. Rahman, Mohd. Shah Majid, Mohd. Yusri Hassan, & Tiw S. Lian (2007). “Energy Savings Through Power Management in the Desktop Computer,” ELEKTRIKA, vol. 9, no. 2, p. 28.
  17. Hazar M. J., Toman Z. H., & Toman S. H. (2019, September). Automated Scoring for Essay Questions In E-learning. In Journal of Physics: Conference Series (Vol. 1294, No. 4). IOP Publishing.
  18. Ho Y. S., Sang J., Ro Y. M., Kim J., & Wu F. (Eds.). (2015). Advances in Multimedia Information Processing-PCM 2015: 16th Pacific-Rim Conference on Multimedia, Gwangju, South Korea, September 16-18, 2015, Proceedings (Vol. 9314). Springer.
  19. Jaballah M., Harous S., & Yagi S. M. (2008, April). UOS EASY EXAM Arabic Computer-Based Examination System. In Information & Communication Technologies: From Theory to Applications, 2008. ICTTA 2008. 3rd International Conference on (pp. 1-5). IEEE.
  20. Jones V. & Jun H. Jo (2004). Ubiquitous learning environment: An adaptive teaching system using ubiquitous technology, School of Information Technology, Griffith University Gold Coast.
  21. Korr J., Derwin E. B., Greene K., & Sokoloff W. (2012). Transitioning an Adult-Serving University to a Blended Learning Model. The Journal of Continuing Higher Education, 60, 2-11.
  22. Levin S., Whitsett D., & Wood G. (2013). Teaching MSW social work practice in a blended online learning environment. Journal of Teaching in Social Work, 408-420.
  23. Lim, Ping & Wing C., & Libing. (2017). Blended Learning for quality higher education: selected case studies on Implementation from Asia-Pacific. United Nations Educational, Scientific & Cultural Organization.
  24. Manap M. R., Ramli N. F., & Kassim A. A. M. (2019). Web 2.0 automated essay scoring application and human ESL essay assessment: a comparison study. European Journal of English Language Teaching.
  25. Mirriahi N. & Alonzo D. (2015) ‘Shedding light on students’ technology preferences: implications for academic development’, Journal of University Teaching & Learning Practice , vol. 12, no. 1, pp. 1-14.
  26. Rudner L. M. & Liang T. (2002). Automated Essay Scoring Using Bayes’ Theorem vol. 1.
  27. Sharpe R., Benfield G., Roberts G., & Francis R. (2006). The undergraduate experience of blended e-learning: A review of UK literature & practice. The Higher Education Academy.
  28. Smith K., & Hill J. (2019). Defining the nature of blended learning through its depiction in current research. Higher Education Research and Development, 38(2), 383–397.
  29. Thompson J. (October, 2009), “Three Approaches to Green Computing on Campus”, Buffalo, New York, United States.
  30. Weiser M. (1991). The computer for the twenty-first century. Scientific American, September, 94-104.
  31. Xiangyun D., Youmen C. A., Maha E. (September 2019). Influence of the Practicum Experience on Student Teachers’ Beliefs about their Role in EFL Classrooms, International Journal of Learning, Teaching and Educational Research Vol. 18, No. 8.
Index Terms

Computer Science
Information Sciences

Keywords

Artificial Intelligence Hologram technology Ubiquitous learning Automated evaluation Green computing Blended learning