Machine Learning for Flipped Teaching in Higher Education—A Reflection

  • Vikas Rao NaiduEmail author
  • Baldev Singh
  • Khadija Al Farei
  • Noor Al Suqri
Conference paper
Part of the Advances in Science, Technology & Innovation book series (ASTI)


Machine learning is one of the revolutionary fields in present days that being successfully implemented in many areas. It enables a machine or a system to learn from various data input by the end-user and provides the next set of possible outcomes. Almost all the search engines and commercial sites have implemented various algorithms for commercialization purposes as well as customization of user data for prediction. Machine learning has a significant role in the education sector to explore various possibilities through which, the system can perform a cognitive analysis based on a given set of input data by the end-users, who can be the students or the teachers. Especially in a flipped classroom model, where the student-centric approach is adopted; machine learning can be a revolutionary approach to find the requirements of learner based on their existing skills. This paper provides an analysis of various types of machine learning that can be implemented through a learning management system for flipped classroom activities. In this paper, a new framework is proposed which can be implemented for effective flipped teaching in higher education in order to reduce the manual tasks of the teachers. The successful implementation of this approach can play a vital role in the community of learners.


Machine learning Flipped classroom Education technology Smart education 



Authors would like to acknowledge the management of Middle East College and Vivekananda Global University for support and encouragement to carry out this research work. Sincere thanks to Dr. Mounir Dhibi and Dr. Van Luise for extending their support and guidances


  1. Anderson, K.: How will AI and Machine Learning revolutionize e-learning? Zeolearn. Accessed 25 Dec 2018
  2. John Paul, M., Luca, M.: Machine Learning For Dummies, For Dummies (2016)Google Scholar
  3. Lynch, M.: 8 ways machine learning will improve education. The Tech Edvocate (2018). Accessed 05 Dec 2019
  4. McGuinness, W. The Benefits and the Limitations of Machine Learning in Education. www.gettingsmart.com Accessed 10 Oct 2018
  5. Ozdamli, A.: Flipped classroom approach. World J. Educat. Technol. 8, 98; World J. Educat. Technol. Current Issues 8(2), 98–105 (2016)Google Scholar
  6. Pappas, C.: Machine Learning and Artificial Intelligence: The Future of eLearning. Accessed 15 Sept 2018
  7. System, E.: What is machine learning? A definition, Expert System (2019). Accessed 1 Jan 2019

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Vikas Rao Naidu
    • 1
    Email author
  • Baldev Singh
    • 1
  • Khadija Al Farei
    • 2
  • Noor Al Suqri
    • 2
  1. 1.Vivekananda Global UniversityJaipurIndia
  2. 2.Middle East CollegeMuscatOman

Personalised recommendations