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
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
He is doing B.Tech- Information Technology in Hindusthan institute of
He is doing B.Tech- Information Technology in Hindusthan institute of
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.
 Alexander, S. & Blight, D. (2005). Technology in
. ASTD, Baron, T. (2006). E-Learning Weathers a Bear
Market, March.[On-line]. Available
. Beaton, A.& Zwick, R. (2007).The effect of changes in
the National Assessment: disentangling the NA EP
2007-08 reading anomaly Educational Testing Service,
. Beckman, R. (2009). Classroom assessment:
Guidelines for success. Teaching excellence: Toward
the best in the academy, v12 pp. 1-2.
. Biggs, J. (2010). What the Student Does: teaching for
enhanced learning. Higher Education Research and
Development Journal, v18 n1 pp.25-26.
. Black, P. & Wiliam, D. (2010). Inside the Black Box:
Raising Standards through Classroom Assessment. USA
. Bradley, D. (2010). Restructuring the University for
. Brown, S. & Knight, P. (2011). Assessment in Higher
Education, Kogan Page, London.
. Bruner, J.S. (2012). Toward a Theory of Instruction,
Cambridge, Mass: Harvard University Press.
. Chickering, A.W. & Ehrmann, S.C. (2014).
Implementing the Seven Principles.American
Association for Higher Education.
. Clariana, R. B. (2014). Achievement predictors for a
computer- applications module delivered via the worldwide
web. Journal of Information Systems Education,
. 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.
. Clariana, R. B. (2016). Considering learning style in
computer-assisted learning. British Journal of
Educational Technology, v28, pp.66-68.
. Clark, R.E. (2016). Media Will Never Influence
Learning. Educational Technology, Research and
Development, v42 n2 pp. 21-29.
. Deakin University. (2016). Study Guide and Readings:
Computer Conferencing Deakin University.
. eLearning.com, Schools, (2017). [On-line] Available :
. (2018) VPL Plug-In website. [Online] Available:
. (2018) SCORM Website. [Online] Available:
. http://www.adlnet.gov/adl- research/scorm/
. Kumar R, Lokesh S & Ramya Devi, M. (2018),
Identifying Camouflaging Adversary in MANET Using
Cognitive Agents, Wireless Personal Communication,
 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.
 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.
 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).
 Lokesh, S. & Devi, M.R. Speech recognition system
using enhanced mel frequency cepstral coefficient with windowing and framing method Cluster Comput (2017).
 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-
 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.
 Selvaraj, L., and Ganesan, B. (2014) Enhancing speech
recognition using improved particle swarm optimization
based Hidden Markov Model. Scientific World J. DOI:
 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.
 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,
 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-
 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.
 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.
 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.
 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,
 Krishnan, S., Lokesh, S. & Ramya Devi, M. "Internet of
things for knowledge administrations by wearable
gadgets", Journal Medical System (2018) 42: 230.
 Vijayarangam, S., Megalai, J., Krishnan, S. et al.
"Vehicular Cloud for Smart Driving Using Internet of
Things " Journal Medical System (2018) 42: 240.
 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
 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.
 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
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