Online Adaptive Assessment Platform

Authors(3) :-Dr. S. Lokesh, Suvetha. S, Swathi. M

In this paper the use of online learning, assessment and self-evaluation platform to aid in teaching and assessment of computer programming and Aptitudes in classrooms are discussed. Based on the skills of the users, the programming and aptitude concepts are taught. This paper describes the technology and implementation of the learning and assessment platform and new methods for automated assessment of programming assignments and for competitive exams. Finally, the application of the system is to help the users to learn the concept and to crack the exams easily.

Authors and Affiliations

Dr. S. Lokesh
Department of Information Technology, Hindusthan Institute of Technology, Coimbatore Tamil Nadu, India
Suvetha. S
Department of Information Technology, Hindusthan Institute of Technology, Coimbatore Tamil Nadu, India
Swathi. M
Department of Information Technology, Hindusthan Institute of Technology, Coimbatore Tamil Nadu, India

Assessment, Automated Assessment, Learning Platform, Online Learning System

  1. B. S. Bloom, M.D. Engelhart, E.J. Furst, W.H. Hill, D.R. Krathwohl, Taxonomy of education objectives: The classification of educational goals. Handbook I: Cognitive domain. New York: David McKay Company, 1956.
  2. S. Papert, “Constructionism: A New Opportunity for Elementary Science Education,” Massachusetts Institute of Technology, Media Laboratory, Epistemology and Learning Group: National Science Foundation, Award 8751190, 1986.
  3. J. Sheard, Simon, A. Carbone, D. D'Souza, and M. Hamilton. “Assessment of programming: pedagogical foundations of exams,” in Proc. of the 18th ACM conference on Innovation and Technology in Computer Science Education (ITiCSE '13), 2013, pp. 141-146.
  4. P. Ihantola, T. Ahoniemi, V. Karavirta, and O. Seppälä. “Review of recent systems for automatic assessment of programming assignments,” in Proc. of the 10th Koli Calling International Conference on Computing Education Research (Koli Calling ’10), 2010, pp. 86-93.
  5. E. Costello, “Opening up to open source: looking at how Moodle was adopted in higher education,” in Open Learning: The Journal of Open, Distance and e-Learning, Vol. 28, Issue 3, 2013.
  6. (2016) The GNU Licenses Website. Available: http://www.gnu.org/licenses/licenses.en.html
  7. (2016) Bitnami Website. OnlineAvailable: https://bitnami.com/
  8. (2016) SCORM Website. OnlineAvailable: http://www.adlnet.gov/adl-research/scorm/
  9. J.C. Rodríguez-del-Pino, R-R. Enrique, and H-F. Zenón, “A Virtual Programming Lab for Moodle with automatic assessment and antiplagiarism features,” in Proceedings of the 2012 International Conference on e-Learning, e-Business, Enterprise Information Systems, & e-Government, 2012.
  10. (2016) VPL Plug-In website. OnlineAvailable: http://vpl.dis.ulpgc.es/
  11. D. Thiébaut, "Automatic evaluation of computer programs using Moodle's virtual programming lab (VPL) plug-in," Journal ofComputing Sciences in Colleges, Vol. 20, Issue 6, 2015.
  12. J.B. Biggs, C. Tang, Teaching for quality learning at university: What the student does. McGraw-Hill Education (UK), 2011.
  13. T. Staubitz, H. Klement, J. Renz, R. Teusner and C. Meinel, "Towards practical programming exercises and automated assessment in Massive Open Online Courses," Teaching, Assessment, and Learning for Engineering (TALE), 2015 IEEE International Conference on, Zhuhai, 2015, pp. 23-30.
  14. Kumar R, Lokesh S & Ramya Devi, M. (2018), Identifying Camouflaging Adversary in MANET Using Cognitive Agents, Wireless Personal Communication, https://doi.org/10.1007/s11277-018-5378-1.
  15. S. Lokesh, S. Malathy, K. Murugan and, G. Sudhasadasivam (2010), Adaptive Slot Allocation and Bandwidth Sharing for Prioritized Handoff Calls in Mobile Networks, International Journal of Computer Science and Information Security, Vol.8 , 52-57.
  16. S.Lokesh and G.Balakrishnan, "Robust Speech Feature Prediction Using Mel-LPC to Improve Recognition Accuracy", Information Technology Journal, vol. 11, no.11, pp. 1644-1699, 2012.
  17. Lokesh, S., Malarvizhi Kumar, P., Ramya Devi, M. et al. An Automatic Tamil Speech Recognition system by using Bidirectional Recurrent Neural Network with Self-Organizing Map Neural Comput & Applic (2018). https://doi.org/10.1007/s00521-018-3466-5
  18. Lokesh, S. & Devi, M.R. Speech recognition system using enhanced mel frequency cepstral coefficient with windowing and framing method Cluster Comput (2017). https://doi.org/10.1007/s10586-017-1447-6
  19. Kanisha, B., Lokesh, S., Kumar, P.M. et al. Speech recognition with improved support vector machine using dual classifiers and cross fitness validation Pers Ubiquit Comput (2018). https://doi.org/10.1007/s00779-018-1139-0
  20. S.Lokesh and G.Balakrishnan, "Speech Enhancement using Mel-LPC Cepstrum and Vector Quantization for ASR", European Journal of Scientific Research, vol.73,No.2, pp. 202-209, 2012.
  21. Selvaraj, L., and Ganesan, B. (2014) Enhancing speech recognition using improved particle swarm optimization based Hidden Markov Model. Scientific World J. DOI: 10.1155/2014/270576.
  22. S. Lokesh, G. Balakrishnan, S. Malathy, and K. Murugan, “Computer Interaction to human through photorealistic facial model for inter-process communication”, in International Conference on Computing Communication and Networking Technologies (ICCCNT), 2010, pp. 1-7.
  23. Priyan Malarvizhi Kumar, S. Lokesh, R. Varatharajan, Gokulnath Chandra Babu, P. Parthasarathy, Cloud and IoT based disease prediction and diagnosis system for healthcare using Fuzzy neural classifier, Future Generation Computer Systems,2018, https://doi.org/10.1016/j.future.2018.04.036.
  24. Lokesh, S., Kanisha, B., Nalini, S. et al. “Speech to speech interaction system using Multimedia Tools and Partially Observable Markov Decision Process for visually impaired students”, Multimed Tools Appl (2018). PP.1-20, https://doi.org/10.1007/s11042-018-6264-2
  25. Kumar, R., & Lokesh, S. (2015). “Fast and secure transmission of information among groups using a key management scheme”. International Journal of Computer Science and Mobile Computing, 4(11), 40–47.
  26. B. Manikandan, T. Senthilkumar, Dr. S. Lokesh, M. Ramya Devi, " Opportunities and Challenges in Airborne Internet with Fly-In, Fly-Out Infrastructure", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4 Issue 4, pp.1464-1469, March-April 2018.
  27. T. Senthilkumar, B. Manikandan, M. Ramya Devi, S. Lokesh, "Technologies Enduring in Internet of Medical Things (IoMT) for Smart Healthcare System", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3 Issue 5, pp. 566-572, May-June 2018.
  28. M. Ramya Devi, S. Lokesh, B. Manikandan, T.Senthilkumar, "Vehicular Cloud Computing Based Intelligent Transportation System for Traffic Management and Road Safety", International Journal of Computer Sciences and Engineering, Vol.6, Issue.7, pp.970-975, 2018.
  29. Krishnan, S., Lokesh, S. & Ramya Devi, M. “Internet of things for knowledge administrations by wearable gadgets”, Journal Medical System (2018) 42: 230. https://doi.org/10.1007/s10916-018-1081-8
  30. Vijayarangam, S., Megalai, J., Krishnan, S. et al. “Vehicular Cloud for Smart Driving Using Internet of Things “ Journal Medical System (2018) 42: 240. https://doi.org/10.1007/s10916-018-1105-4
  31. Ramya Devi M, Krishnan S, Lokesh S. An optimal Internet of Things–based smart cities using vehicular cloud for smart driving. Concurrency Computat Pract Exper. 2018; e5037. https://doi.org/10.1002/cpe.5037
  32. Sivakumar Krishnan, S. Lokesh, M. Ramya Devi, “An efficient Elman neural network classifier with cloud supported internet of things structure for health monitoring system”, Computer Networks, Volume 151, 2019, Pages 201-210. https://doi.org/10.1016/j.comnet.2019.01.034

Publication Details

Published in : Volume 5 | Issue 2 | March-April 2019
Date of Publication : 2019-03-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 21-28
Manuscript Number : CSEIT11951144
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Dr. S. Lokesh, Suvetha. S, Swathi. M, "Online Adaptive Assessment Platform", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 2, pp.21-28, March-April-2019. Available at doi : https://doi.org/10.32628/CSEIT11951144
Journal URL : http://ijsrcseit.com/CSEIT11951144

Article Preview