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  Enhanced Online Education System using Information and Communication Technologies  
  Authors : Dr.S.Lokesh; Langesh.D; Prakash.K
  Cite as:

 

This paper is to review of the literature on classroom formative assessment. Several studies show firm evidence that innovations designed to strengthen the frequent feedback that students receive about their learning yield substantial learning gains. The perceptions of students and their role in self-assessment are considered alongside analysis of' the strategies used by teachers and the formative strategies incorporated in such systemic approaches as mastery learning. There follows a more detailed and theoretical analysis of the nature of feedback, which provides a basis for a discussion of the development of theoretical models for formative assessment and of the prospects for the improvement of practice.

 

Published In : IJCSN Journal Volume 8, Issue 2

Date of Publication : April 2019

Pages : 132-137

Figures :08

Tables : --

 

Lokesh S : He got the B.E., in Computer Science and Engineering in 2005 from Anna University, M.E., Degree in Computer Science and Engineering from Anna University in 2007 and Ph.D., in Information and Communication Engineering in 2015 from Anna University, respectively. He is working at Hindusthan Institute of Technology, Coimbatore from 2009. His research areas are Human Computer Interaction, Speech Recognition, Cluster Computing, Data Analytics and Machine Learning.

Langesh.D : He is doing B.Tech- Information Technology in Hindusthan institute of Technology, Coimbatore.

Prakash.K : He is doing B.Tech- Information Technology in Hindusthan institute of Technology, Coimbatore.

 

Online Assessment, Information and Communication Technology, Smart Coaching system

Day by day technology is enhancing and with developments in technology, education system is shifting from in class settings to online environment. Assessment system cannot stand out of that trend. Assessment must be parallel with teaching. Today it is out of debate that whether Online assessment should be used. The main issue in online assessment is how it can be more effective, valid, reliable and secure. Based on the results indicated in previous section those conclusions have been reached in terms of online assessment.

 

[1] Alexander, S. & Blight, D. (2005). Technology in International Education.[On-line].Available: http://www.iim.uts.edu.au/whatsnew/wn_oct96/IDP.sht ml [2]. ASTD, Baron, T. (2006). E-Learning Weathers a Bear Market, March.[On-line]. Available http://www.learningcircuits.org/2001/mar2001/barron. html [3]. Beaton, A.& Zwick, R. (2007).The effect of changes in the National Assessment: disentangling the NA EP 2007-08 reading anomaly Educational Testing Service, Princeton, NJ. [4]. Beckman, R. (2009). Classroom assessment: Guidelines for success. Teaching excellence: Toward the best in the academy, v12 pp. 1-2. [5]. Biggs, J. (2010). What the Student Does: teaching for enhanced learning. Higher Education Research and Development Journal, v18 n1 pp.25-26. [6]. Black, P. & Wiliam, D. (2010). Inside the Black Box: Raising Standards through Classroom Assessment. USA : Kappan [7]. Bradley, D. (2010). Restructuring the University for Technological Change. [8]. Brown, S. & Knight, P. (2011). Assessment in Higher Education, Kogan Page, London. [9]. Bruner, J.S. (2012). Toward a Theory of Instruction, Cambridge, Mass: Harvard University Press. [10]. Chickering, A.W. & Ehrmann, S.C. (2014). Implementing the Seven Principles.American Association for Higher Education. [11]. Clariana, R. B. (2014). Achievement predictors for a computer- applications module delivered via the worldwide web. Journal of Information Systems Education, v11n1 pp.13-18. [12]. Clariana, R. B. & Moller, L. (2015). Distance learning profile instrument Predicting on-line course achievement. Presented at the Annual Convention of the Association for Educational Communications and Technology, Denver, CO. [13]. Clariana, R. B. (2016). Considering learning style in computer-assisted learning. British Journal of Educational Technology, v28, pp.66-68. [14]. Clark, R.E. (2016). Media Will Never Influence Learning. Educational Technology, Research and Development, v42 n2 pp. 21-29. [15]. Deakin University. (2016). Study Guide and Readings: Computer Conferencing Deakin University. Melbourne.Distanskonsortiet http://www.distanskonsortiet.org [16]. eLearning.com, Schools, (2017). [On-line] Available : http://www.elearners.com/gna/schools.asp [17]. (2018) VPL Plug-In website. [Online] Available: http://vpl.dis.ulpgc.es/ [18]. (2018) SCORM Website. [Online] Available: [19]. http://www.adlnet.gov/adl- research/scorm/ [20]. 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. [21] 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. [22] 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. [23] 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 [24] 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 [25] 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 [26] 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. [27] 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. [28] 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. [29] 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. [30] 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 [31] 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. [32] 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. [33] 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. [34] 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. [35] 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 [36] 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 [37] 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 [38] 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 [39] 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