Open Access   Article Go Back

An adaptive learning frame work for slow learners in an e-learning environment

Lumy Joseph1 , Sajimon Abraham2

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-7 , Page no. 407-412, Jul-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i7.407412

Online published on Jul 31, 2018

Copyright © Lumy Joseph, Sajimon Abraham . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

View this paper at   Google Scholar | DPI Digital Library

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: Lumy Joseph, Sajimon Abraham, “An adaptive learning frame work for slow learners in an e-learning environment,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.7, pp.407-412, 2018.

MLA Style Citation: Lumy Joseph, Sajimon Abraham "An adaptive learning frame work for slow learners in an e-learning environment." International Journal of Computer Sciences and Engineering 6.7 (2018): 407-412.

APA Style Citation: Lumy Joseph, Sajimon Abraham, (2018). An adaptive learning frame work for slow learners in an e-learning environment. International Journal of Computer Sciences and Engineering, 6(7), 407-412.

BibTex Style Citation:
@article{Joseph_2018,
author = {Lumy Joseph, Sajimon Abraham},
title = {An adaptive learning frame work for slow learners in an e-learning environment},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {7 2018},
volume = {6},
Issue = {7},
month = {7},
year = {2018},
issn = {2347-2693},
pages = {407-412},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2449},
doi = {https://doi.org/10.26438/ijcse/v6i7.407412}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i7.407412}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2449
TI - An adaptive learning frame work for slow learners in an e-learning environment
T2 - International Journal of Computer Sciences and Engineering
AU - Lumy Joseph, Sajimon Abraham
PY - 2018
DA - 2018/07/31
PB - IJCSE, Indore, INDIA
SP - 407-412
IS - 7
VL - 6
SN - 2347-2693
ER -

VIEWS PDF XML
657 362 downloads 145 downloads
  
  
           

Abstract

One of the biggest challenges that many of the 21st-century teachers face in traditional classroom teaching is the difficulty to deal with students from diverse backgrounds. Especially in the case of slow learners they find it so hard to deal with and make them learn their academic subjects. Teachers are giving instructions or delivering learning contents to learners, without understanding the learner profile parameters such as learning style, motivation, attitude, aptitude etc. They should understand the art and science of teaching. In the current education paradigm students are compelled to learn the same learning material at the same time and rate. Hence teachers are expected to adopt new methods and technologies to eliminate this problem. E-learning is an activity where learners are able to achieve their educational goals based on their skills, interest, motivation, learning style etc. Through adaptive learning learners’ exact needs, their goals, preferences, etc. can be achieved during the learning process. Hence, the objective of the study is to develop a frame work of an adaptive learning system which helps the slow learners to be more active and engaged in their learning process.

Key-Words / Index Term

Adaptive learning, E-contents, Instructional Design, Learning Management System, Slow Learners

References

[1] P.Tripathi, S.Mukerji, “Handbook of Research on Technology-Centric Strategies for Higher Education Administration”,IGI Global. 2017.
[2] C. Ives, “Instructional-Design Theories and Models, Volume III: Building a Common Knowledge Base” Journal of Educational Technology & Society, Vol. 13, Issue.2, pp. 219-221, 2010.
[3] S.Subramanian,”Assessing the Effectiveness of Individualized Integrated Intervention Strategies to Turn Around Slow Learners: An Experimental Study”, ncert,2012.
[4] B. Holmes, J. Gardner,” E-learning: Concepts and practice”, Sage,2006.
[5] S. M. Shweta Pawar, “A Proposed System for Adaptive E-learning Using Ant Colony Optimization” IJSART ,pp. 72-76, 2015.
[6] N. Radwan “An adaptive learning management system based on learner’s learning style”, International Arab Journal of e-Technology, Vol. 3, Issue.4, pp.7, 2014.
[7] S. Graf, T. C. Liu, “Supporting teachers in identifying students` learning styles in learning management systems: An automatic student modelling approach”, Journal of Educational Technology & Society, Vol. 12, Issue.4, pp.3-14,2009.
[8] J. Yang, Z. X. Huang, Y. X. Gao, & H. T. Liu, ”Dynamic learning style prediction method based on a pattern recognition technique”, IEEE Transactions on Learning Technologies, , Vol. 7, Issue.2, pp.165-177, 2014.
[9] Y.H. Hung, R.I. Chang, C.F Lin, “Hybrid learning style identification and developing adaptive problem-solving learning activities”, Computers in Human Behavior, Vol.55, pp.552-561, 2016.
[10] A. Klašnja-Milićević, B. Vesin, M. Ivanović, Z. Budimac,& L. C. Jain, ”E-Learning Systems: Intelligent Techniques for Personalization” Springer, Vol. 112, 2016.
[11] P. Sarkar, C. Kar, “Adaptive E-learning Using Deterministic Finite Automata”, International Journal of Computer Applications, Vol. 97, Issue.21, pp.14-17, 2014.
[12] C. Makkena, K. Anuradha, “A Study on Efficiency of Data Mining Approaches to Online -Learning Methods” , International Journal of Scientific Research in Computer Science, Engineering and Information Technology, Vol. 2, Issue. 4, pp. 808-816, 2017.
[13] A. Roy, K.Basu,”A Comparative Study of Statistical Learning and Adaptive Learning”, arXiv preprint arXiv: 1511.07538,2015.
[14] L.K. Poon, S.C. Kong, M.Y. Wong, T.S.Yau, ” Mining Sequential Patterns of Students’ Access on Learning Management System”, In the proceedings of the 2001 International Conference on Data Mining and Big Data, Springer, Cham, pp.191-198, 2017.
[15] S. J. Raut, “Smart Class Learning Management System for School Education”, International Journal of Scientificic Research in Computer Science and Engineering, Vol.06 , Special Issue.01 , pp.9-13, Jan-2018
[16] J. F. Hughes, Computer graphics: principles and practice. Pearson Education,2014.
[17] J. G. Ruiz, M. J. Mintzer, R. M. Leipzig, “The impact of e-learning in medical education” Academic medicine, Vol.81, Issue.3, pp.207-212, 2006.
[18] L. Joseph,, & S. Abraham, “Instructional design for learning path identification in an e-learning environment using felder-silverman learning styles model” In the proceedings of the IEEE International Conference on Networks & Advances in Computational Technologies (NetACT), pp. 215-220, 2017.
[19] A.Deepa E. C. Blessie,”Input Analysis for Accreditation Prediction in Higher Education Sector by Using Gradient Boosting Algorithm”, International Journal of Scientific Research in Network Security and Communication, Vol.6, Issue.3, pp.23-27, 2018.