Educational App for Android-Specific Users—EA-ASU

  • S. Siji Rani
  • S. Krishnanunni
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1097)


M-learning or mobile learning is the fastest-evolving learning technology, and it has ample opportunities in global learning technical industry. If the app is designed very well with respect to its implementation, then it will definitely fulfill the purpose of learning and discovery. In accordance with this context, we have aimed at designing of an educational app EA-ASU. The proposed app aims at teaching and self-learning, even by any person who does not even have any professional knowledge regarding this. EA-ASU models any real-world learning scenarios where any user can access the various digital collection of study materials. At the same time, user can modify or upload any content to the center repository. It has also been concluded that EA-ASU, when deployed among students, was found to be very beneficial to them and it was able to improve their learning capability at ease.


Mobile learning EA-ASU Educational application system E-learning 


  1. 1.
    Klaen, Andre, Marcus Eibrink-Lunzenauer, and Till Gloggler. 2017. Requirements for mobile learning applications in higher education 2017 [Online]. Available
  2. 2.
    Lynda Report. 2009. The benefits of mobile learning 2009 [Online]. Available
  3. 3.
    Arya, G.S., O.R. Varma, S. Sooryalakshmi, V. Hariharan, and S. Siji Rani. 2015. Home automation using android application. In 6th international conference on advances in computing, control, and telecommunication technologies, ACT 2015, 245–253.Google Scholar
  4. 4.
    Antony, D.Asir, Gnana Singh, E.Jebamalar Leavline, Janani Selvam. 2013. Mobile application for m-learning 2013 [Online]. Available
  5. 5.
    Android Application. Seesaw: The Learning Journal [Online]. Available
  6. 6.
    Klassen, Andre, Till Gloggler. 2013. Requirements for mobile learning applications in higher education—LMS App. Anaheim, USA [Online]. Available
  7. 7.
    Sharples, M. 2007. A short history of mobile learning and some issues to consider. Online presentation mLearn, Doctoral Consortium.Google Scholar
  8. 8.
    Binu, P.K., V.S. Viswaraj. 2017. Android based application for efficient carpooling with user tracking facility. In 2016 IEEE international conference on computational intelligence and computing research, ICCIC 2016, art. no. 7919536.Google Scholar
  9. 9.
    Shih, J.L., G.J. Hwang, Y.C. Chu, and C.W. Chuang. 2011. An investigation-based learning model for using digital libraries to support mobile learning activities. The Electronic Library 29 (4): 20.CrossRefGoogle Scholar
  10. 10.
    Lee, J., and J. Choi. 2012. Implementation of application for vocabulary learning through analysis of users needs using smart phone. The Journal of Korean Association of Computer Education 15 (1): 4353.Google Scholar
  11. 11.
    Kim, I.-M. 2011. Android phone app. Development for large scale classes. The Journal of Digital Policy Management 9(6): 343–354.Google Scholar
  12. 12.
    Sharples, M. Professor of Educational Technology, A short history of mobile learning and some issues to consider.Google Scholar
  13. 13.
    Akhil, R., M.S. Gokul, S. Sanal, V.K. Sruthi Menon, and L.S. Nair. 2018. Enhanced navigation cane for visually impaired. In Ambient communications and computer systems. Advances in intelligent systems and computing, vol. 696, eds. Perez, G., S. Tiwari, M. Trivedi, K. Mishra. Singapore: Springer.Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • S. Siji Rani
    • 1
  • S. Krishnanunni
    • 1
  1. 1.Department of Computer Science and EngineeringAmrita Vishwa Vidyapeetham AmritapuriKollamIndia

Personalised recommendations