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Cluster Computing

, Volume 22, Supplement 3, pp 6985–6989 | Cite as

A critical study on the use of artificial intelligence, e-Learning technology and tools to enhance the learners experience

  • V. KavithaEmail author
  • Resham Lohani
Article

Abstract

E-Learning can be defined as the use of computer and Internet technologies to deliver a broad array of solutions to enable learning and improve performance. E-Learning has been beneficial for employee Training, updating, developing specific skills among the employed professionals, among students and youngsters. Approximately 77% of U.S. companies offer online training as a way to improve their employee’s professional development. E-Learning has been useful for varied purposes and its features are generally suitable for people with any learning style. Lots of research has been undertaken in order to identify the perfect design for developing e-Learning modules based on purpose and the target audience. E-Learning is not limited to formal and well-defined courses alone; it has its own space for the Learners with a contemporary thought about self Learning. It also encompasses other forms of learning, such as learning at home or learning at work through e-mentoring and e-coaching. This article tries to portray the current scenario of the e-Learning practices and focuses on some of the major areas that need to be considered in designing a suitable learning management system (LMS). The article summarizes the role of artificial intelligence (AI) to enhance the virtual learning environment in e-Learning.

Keywords

E-Learning E-Learning technologies and tools Instructional design models Open source learning management system Virtual learning environments 

References

  1. 1.
    Fifteen learning trends and statistics to know for 2017. https://elogiclearning.com/
  2. 2.
    Monroe: ambient insight research. US self-paced e-learning market (2009)Google Scholar
  3. 3.
    E-learning Methodologies: A Guide for Designing and Developing e-Learning Courses. Food and Agriculture Organization of the United Nations, Rome (2011)Google Scholar
  4. 4.
    Allen, I.E., Seaman, J.: Staying the Course: Online Education in the United States. Sloan Consortium (2008)Google Scholar
  5. 5.
    Training Industry ReportGoogle Scholar
  6. 6.
    Chen, B., DeNoyelles, A.: Exploring students’ mobile learning practices in higher education. Educ. Rev. (2013). http://www.educase.edu/
  7. 7.
    Keller, J., Suzuki, K.: Learner motivation and E-learning design: a multinationally validated process. J. Educ. Media 29(3), 229–239 (2004)CrossRefGoogle Scholar
  8. 8.
    Elliott, C.: Bite-sized learning in engaged workforce in learning (2016). http://www.hrotoday.com/
  9. 9.
    Leite, Walter L., Svinicki, Marilla, Shi, Yuying: Attempted validation of the scores of the VARK: learning styles inventory with multitrait–multimethod confirmatory factor analysis models. Educ. Psychol. Meas. 70(2), 323–339 (2010)CrossRefGoogle Scholar
  10. 10.
    Technology Tools For Teaching And Learning. https://elearningindustry.com/
  11. 11.
    Miller, R.J.: Big data curation. In Proceedings of the 20th International Conference on Management of Data (COMAD), Hyderabad, India, 17–19 Dec 2014 (2014)Google Scholar
  12. 12.
    Swain, J., French, S., Barnes, C., Thomas, C. (eds.): Disabling Barriers—Enabling Environments. Sage, London (2013)Google Scholar
  13. 13.
    Mayer, R. E.: Applying the science of learning to medical education. Med. Educ. 44, 543–549 (2010)CrossRefGoogle Scholar
  14. 14.
    Khalid, A., Hani, H., Daniyal, A., Ghadah, A.: A survey of artificial intelligence, techniques employed for adaptive educational systems within E-learning platforms. JAISCR 7(1), 47–67 (2017).  https://doi.org/10.1515/jaiscr-2017-0004 CrossRefGoogle Scholar
  15. 15.
    Potode, A., Manjare, P.: E-learning using artificial intelligence. Int. J. Comput. Sci. Inf. Technol. Res. 3(1), 78–82 (2015)Google Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Electronics and Communication EngineeringKarurIndia
  2. 2.Department of Management StudiesM. Kumarasamy College of EngineeringKarurIndia

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