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Framework for Improving Usability of Learning Management Systems by Integrating Pedagogical Agent

by Beryl Adhiambo Odhiambo, George Okeyo, Wilson Cheruiyot
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 166 - Number 8
Year of Publication: 2017
Authors: Beryl Adhiambo Odhiambo, George Okeyo, Wilson Cheruiyot
10.5120/ijca2017914087

Beryl Adhiambo Odhiambo, George Okeyo, Wilson Cheruiyot . Framework for Improving Usability of Learning Management Systems by Integrating Pedagogical Agent. International Journal of Computer Applications. 166, 8 ( May 2017), 7-16. DOI=10.5120/ijca2017914087

@article{ 10.5120/ijca2017914087,
author = { Beryl Adhiambo Odhiambo, George Okeyo, Wilson Cheruiyot },
title = { Framework for Improving Usability of Learning Management Systems by Integrating Pedagogical Agent },
journal = { International Journal of Computer Applications },
issue_date = { May 2017 },
volume = { 166 },
number = { 8 },
month = { May },
year = { 2017 },
issn = { 0975-8887 },
pages = { 7-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume166/number8/27687-2017914087/ },
doi = { 10.5120/ijca2017914087 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:13:08.035173+05:30
%A Beryl Adhiambo Odhiambo
%A George Okeyo
%A Wilson Cheruiyot
%T Framework for Improving Usability of Learning Management Systems by Integrating Pedagogical Agent
%J International Journal of Computer Applications
%@ 0975-8887
%V 166
%N 8
%P 7-16
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The research intended to develop a framework for improving the usability of Learning Management Systems by integrating pedagogical agent. The study adopted usability heuristics as the key factors for enhancing the usability of an LMS through a conversational pedagogical agent. The first objective explored various techniques available for enhancing the usability of the LMS. The techniques includes Learnability, efficiency, and satisfaction are but a few techniques used to measure usability of a web-based system. The second objective examined a variety of ways the pedagogical agent can improve the usability of the LMS. The research recognized that a pedagogical agent could improve the usability of an LMS by making studying more interesting and increasing student to instructor interaction to support active learning. The third objective was for the designing of a suitable framework for improving the usability of an LMS. The fourth objective intended to evaluate the impact of the computer-based pedagogical agent in the LMS. The research established that the conversational pedagogical agent increased human to computer interaction, makes learning more effective and enjoyable and supports self-paced active learning. An experimental research design was adopted in carrying out the research. A conversational pedagogical agent (Melsyanne) was deployed as a prototype to improve the effective use of an LMS. The target population comprised of 3 HODs, 12 Instructors and 82 Students from three randomly selected higher learning institutions within Nakuru Municipality. Data was collected using questionnaires and analyzed through frequencies and percentages using SPSS. The results were presented using tables, column graphs and pie-charts generated by MS Excel application software. The findings constitute the knowledge pool, from which future research can borrow and add in their research study.

References
  1. Nielsen, J. 2012. Usability 101: Introduction to Usability.
  2. Dias, S., Diniz, A., and Hadjileontiadis, J. 2013. Towards an Intelligent Learning Management System Under Blended Learning: Trends, Profiles, and Modeling Perspectives. ASpringer Science & Business Media.
  3. Kats, Y. 2013. Learning Management Systems and Instructional Design: Best Practices in Online Education. Idea Group Inc.
  4. Cheok. M., and Wong, S. 2015. Predictors of E-Learning Satisfaction in Teaching and Learning for School Teachers: A Literature Review. International Journal Of Instruction, 85.
  5. Johnson, W., and Richel, J. 1998. An Animated Pedagogical Agent for Procedural Training in a Virtual Environment. SIGART Bulletin, 16-21.
  6. Baylor, A. L. 2006. Investigating Multiple Pedagogical Inspired Learning Nuggets. Educational Technology and Society.
  7. Alavi, M. 1999. Knowledge Management Systems: Issues, Challenges, and Benefits; Communication of the Association for Information Systems.
  8. Asunka, S. 2014. Web-based Learning Management Systems in Developing Countries, Igi Global.
  9. Kipkurui, K., Wanyembi, G., and Ikoha, P. 2014. Evaluating Usability of E-Learning Systems In Universities.
  10. Phye, G. D., and Andre, T. 1989. Delay-retention effect: Attention, perseveration, or both? Contemporary Educational Psychology, 14, 173-185.
  11. Baker, J. Grant, s., and Morlock, L. 2008. The teacher–Student Relationship as a Developmental Context for Children with Internalizing or Externalizing Behavior Problems. School Psychology Quarterly, 23(1), 3-15.
  12. O’Connor, E. E., Dearing, E., and Collins, B. A. 2011. Teacher-Child Relationship and Behavior problem trajectories in elementary school. American Educational Research Journal, 48(1), 120-162.
  13. Silver, R. B., Measelle, J. R., Armstrong, J. M., and Essex, M. J. 2005. Trajectories of classroom externalizing behavior: Contributions of child characteristics, family characteristics, and the teacher–child relationship during the school transition. Journal of School Psychology, 43(1), 39-60.
  14. Thuseethan, S., & Kuhanesan, S. Effective Use of Human-Computer Interaction in Digital Academic Supportive Devices. International Journal of Science and Research, 3(6), 2014, 388-392.
  15. Tselios, N., Avouris, N., and Komis, V. 2008. The effective combination of hybrid usability methods in evaluating educational applications of ICT: Issues and challenges. Education and Information Technologies, 13(1), 55-76.
  16. Shackel, B. Usability-context, Framework, Definition, Design, and Evaluation. Shackel, B. and Richardson, S., Ed. Human Factors for Informatics Usability. Cambridge, UK, Cambridge University Press, 1991, 21-37.
  17. Chang C. 2008. Faculty Perceptions and Utilization of a Learning Management System In Higher Education. ProQuest.
  18. Hetsevich, I. 2014. How to improve eLearning course design usability by adopting the 10 Usability Heuristics, link, http://elearningindustry.com/how-to-improve-elearning-course-design-usability-by-adopting-the-10-usability-heuristics.
  19. Atolagbe, T. 2002. E-learning: the use of components technologies and artificial intelligence for management and delivery of instruction. Paper presented at ITI. Proceedings of the 24th International Conference on Information Technology Interfaces; 2002. p. 121–128.
  20. Ivanovic, M. and Jain L, 2013. E-Learning Paradigms and Applications: Agent-based Approach, 150 – 155.
  21. Jafari, A. 2002. Conceptualizing Intelligent Agents for Teaching, and Learning.
  22. Savin-Baden, M. 2015. Rethinking Learning in an Age of Digital Fluency. Routledge.
  23. Buchem, L. 2014. Learning and Diversity in the Cities of the future. Logos Verlag Berlin GmbH.
  24. Johnson, W., Rickel, Jeff., and Lester. J. 2000. Animated Pedagogical Agents: Face-to-Face interactions in interactive environments. International Journal of Artificial Intelligence in Education, 11, 47-78.
  25. Erickson, K. A. 1996. The Acquisition of Expert Performance: An Introduction to some of the Issues. In K. A. Erickson (E.D), The road to excellence: Aquisition of expert performance in the arts sciences, sports, and games. Hillsdale, NJ: Erlbaum.
  26. Al-Zoube, M. 2009. E-Learning on the Cloud, International Arab Journal of e-Technology, Vol 1, No. 2, 50-63
  27. Conati, C. and Zhao, X. 2004. Building and Evaluating an Intelligent Pedagogical Agent to Improve the Effectiveness of an Educational Game. IUI '04 Proceedings of the 9th International Conference on Intelligent user interfaces.
  28. Zadrozny, W., Budzikowska, M., and Kambhatla, N. 2007. Natural language dialogue for personalized interaction.
  29. Dehn, D. and Mulken, S. 2000. The impact of Animated interface: a review of empirical research. International Journal of Human-Computer Studies, 1-22.
  30. Lester, J. B. K. 2004. Conversational Agents. USA: CRC Press LLC.
  31. Augello, A. Saccone, G., Gaglio, S., and Pilato, G. 2008. Humorist Bot: Bringing Computational Humour in a Chat-Bot System. Complex. Intelligent and Software Intensive Systems, 2008. CISIS 2008. International Conference on.
  32. Veletsianos, G., Scharber, C., and Doering, A. 2008. When sex, drugs, and violence enter the classroom: Conversations between adolescents and a female pedagogical agent. Interacting with computers, 292-301.
  33. Russell, S., and Norvig, P. 2010. Artificial Intelligence: A Modern Approach; Third Edition. New Jersey: Pearson Education, Inc.
  34. Kumar, E. 2011. Natural Language Processing. New Delhi: I.K International Publishing House Pvt. Ltd.
Index Terms

Computer Science
Information Sciences

Keywords

Improving Usability Learning Management System (LMS) Pedagogical Agent.