Open Access   Article Go Back

Identifying the Learning Path of Online Learners in an Adaptive E-Learning Environment

Lumy Joseph1 , Sajimon Abraham2

Section:Research Paper, Product Type: Journal Paper
Volume-06 , Issue-06 , Page no. 67-73, Jul-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6si6.6773

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, “Identifying the Learning Path of Online Learners in an Adaptive E-Learning Environment,” International Journal of Computer Sciences and Engineering, Vol.06, Issue.06, pp.67-73, 2018.

MLA Style Citation: Lumy Joseph, Sajimon Abraham "Identifying the Learning Path of Online Learners in an Adaptive E-Learning Environment." International Journal of Computer Sciences and Engineering 06.06 (2018): 67-73.

APA Style Citation: Lumy Joseph, Sajimon Abraham, (2018). Identifying the Learning Path of Online Learners in an Adaptive E-Learning Environment. International Journal of Computer Sciences and Engineering, 06(06), 67-73.

BibTex Style Citation:
@article{Joseph_2018,
author = {Lumy Joseph, Sajimon Abraham},
title = {Identifying the Learning Path of Online Learners in an Adaptive E-Learning Environment},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {7 2018},
volume = {06},
Issue = {06},
month = {7},
year = {2018},
issn = {2347-2693},
pages = {67-73},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=447},
doi = {https://doi.org/10.26438/ijcse/v6i6.6773}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i6.6773}
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=447
TI - Identifying the Learning Path of Online Learners in an Adaptive 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 - 67-73
IS - 06
VL - 06
SN - 2347-2693
ER -

           

Abstract

With the advancement of technology, there is a rapid growth in e-learning. The use of the Internet in the teaching learning process has made significant impact on both teachers and students. Learners in an e-learning environment have different behavioural patterns, attitudes, aptitudes, learning styles, etc. and the learning resources preferred by these learners also vary. Hence, it is a big challenge for 21st century teachers to deliver the courses in an effective way. One solution to solve this problem is to provide an adaptive form of education. Advantage of this adaptive learning system is that it helps to provide apt material according to the interest and knowledge level of the learners or by understanding the learning facts. An adaptive learning system helps to track students’ knowledge, measure progress and provide solution accordingly. With the support of a suitable Learning Management System (LMS) it is possible to administer, track, report and document the delivery of e-learning courses. In this study, Moodle (Modular Object-Oriented Dynamic Learning Environment) LMS is used for managing every aspect of the course such as course creation, conducting online test, etc. In an e-learning environment, learning content accessed by individual learners will be different and they learn subjects at their own speed and interest. It causes the generation of different learning paths. Hence, the objective of the study is to develop a frame work for an adaptive learning system and identify the learning path of the learners based on their activities recorded in Moodle.

Key-Words / Index Term

Adaptive learning system, E-learning, Learning Management System, Moodle, Learning path

References

1. C.R. Graham, W. Woodfield, J.B. Harrson, “A Framework For Institutional Adoption and Implementation of Blended Learning in Higher Education”, Internet and Higher Education, Vol. 18, pp.4-14, 2013.
2. A.Norberg, C.D. Dziuban, P.D. Moskal, “A Time-Based Blended Learning Model”, On the Horizon,Vol.19,Issue.3, pp.207-216, 2011.
3. R.C. Raga Jr, J.D. Raga, “Monitoring Class Activity and Predicting Student Performance Using Moodle Action Log Data”, International Journal of Computing Sciences Research, Vol. 1, Issue.3, pp.1-16, 2017.
4. R.R. Estacio, R. C. Raga Jr,”Analysing Students Online Learning Behaviour In Blended Courses Using Moodle”, Asian Association of Open Universities Journal, Vol. 12, Issue.1, pp.52-68, 2017
5. T.Elias “Universal Instructional Design Principles for Moodle” The International Review of Research in Open and Distributed Learning. Vol. 11, Issue.2, pp.110-124, 2010
6. A.Deshpande, P. Pimpare, S. Bhujbal, A. Kommwar,J. Wagh, “Student Performance Analysis, Visualization and Prediction Using Data Mining Techniques”, Imperial Journal of Interdisciplinary Research,Vol.2, Issue.5, pp.115-1118, 2016
7. S.Pawar, S.M. ,“A Proposed System for Adaptive E-Learning Using Ant Colony Optimization” IJSART , Vol. 24, Issue.6, pp.72-76, 2015.
8. K.R. Premlatha,B. Dharani, T.V. Geetha,” Dynamic Learner Profiling and Automatic Learner Classification for Adaptive E-Learning Environment”, Interactive Learning Environments, Vol. 24, Issue.6, pp.1054-1075, 2016.
9. P. Sarkar, C. Kar, “Adaptive E-learning Using Deterministic Finite Automata”, International Journal of Computer Applications, Vol. 97, Issue.21, pp.14-17, 2014.
10. F.Yang,Z.Dong, ” Learning Path Construction in E-learning: What to Learn, how to Learn, and how to Improve”, . Springer Singapore,pp.15-29,2017
11. A.Roy, K.Basu, ”A Comparative Study of Statistical Learning and Adaptive Learning”, arXiv preprint arXiv:1511.07538.
12. O.R. Zaiane, J. Luo, ”Towards Evaluating Learners` Behaviour in a Web-Based Distance Learning Environment”, In the proceedings of the 2001 IEEE International Conference on Advanced Learning Technologies,IEEE, pp.357-360,2001.
13. 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.
14. A.P. Lopes, ”Learning Management Systems in Higher Education” In the proceedings of the EDULEARN14 Conference , Barcelona, Spain, pp. 5360-5365, 2014.
15. M. Kljun, K.C. Pucihar,F. Solina, ”Persuasive Technologies In M-Learning For Training Professionals: How to Keep Learners Engaged with Adaptive Triggering”, IEEE Transactions on Learning Technologies,2018