Abstract
Education has been carried out in traditional mode as well as in online mode. This paper finds the gaps regarding the learnability of the students, which has adverse effects on the employability and sustainability over the long run. We recommend online courses as a supplementary tool for addressing these gaps. The problems of the online courses are understood, and an adaptive smarter learning approach with innovative applications and interactivities is being recommended. The background knowledge needed to design a better learning model, and an adaptive solution is explored. The different adaptive approaches are being examined for devising a novel method for adaptive learning. The recent literature review in adaptive learning is captured and analyzed. This paper also provides the future direction of adaptive learning, the challenges involved, and ways to offer effective e-learning.
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References
Biijeesh, N.A.: How can Indian graduates improve their employability? [Online]. Available: https://www.indiaeducation.net/interviews/himanshu-aggarwal-ceo-aspiring-minds.html
NASSCOM: Nasscom-McKinsey Report 2005: Extending India’s Leadership of the Global IT and BPO Industries. NASSCOM-McKinsey, New Delhi (2005)
LeahBelsky: Where online Learning Goes Next. Harvard Business Review: Accessed 2 Oct 2019. [Online] (2019). Available: https://hbr.org/2019/10/where-online-learning-goes-next
[Online]. Available: https://www.khanacademy.org/
[Online]. Available: https://www.edx.org/
[Online]. Available: https://www.udacity.com/
[Online]. Available: https://www.coursera.org/
Muuray, S., Rodriguez, M., Jugo. M.: Struggle to Lift Rock-Bottom Completion Rates. Financial Times Limited. Accessed 12 July 2019 (2019). [Online]. Available: https://www.ft.com/content/60e90be2-1a77-11e9-b191-175523b59d1d
Onah, D., Sinclair, J., Boyatt, R.: Dropout Rates of Massive Open Online Courses: Behavioural Patterns (2014). https://doi.org/10.13140/rg.2.1.2402.0009
Ennouamani, S., Mahani, Z.: An overview of adaptive e-learning systems. In: Eighth International Conference on Intelligent Computing, and Information Systems (ICICIS), (2017)
Rajkumar, R., Ganapathy, V.: Bio-inspiring learning style Chatbot inventory using brain computing interface. IEEE Open Access J. (2020)
Acknowledgements
The author acknowledges the founders of groomMyCareer.com Pvt. Ltd. and Mobile Tutor Private Limited for sponsoring this research and Rai University for guiding this research work.
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Shenbagaraj, R., Iyer, S. (2021). A Smart Education Solution for Adaptive Learning with Innovative Applications and Interactivities. In: Hassanien, A.E., Bhattacharyya, S., Chakrabati, S., Bhattacharya, A., Dutta, S. (eds) Emerging Technologies in Data Mining and Information Security. Advances in Intelligent Systems and Computing, vol 1300. Springer, Singapore. https://doi.org/10.1007/978-981-33-4367-2_65
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DOI: https://doi.org/10.1007/978-981-33-4367-2_65
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