Open Access   Article Go Back

Impact of ICT and Curriculum Development (University Students from Nigeria) using Modified Technology Acceptance Model -TAM

Oruan Memoye Kepeghom1 , J. Cruz Antony2 , Igenewari Ipeghan Godpower3 , Richard Tamunoibuomi4

  1. Curriculum and Instruction, Principal CGSS Opeden South-Abuan, Rivers State, Nigeria.
  2. Department of Computer Science, Jain University, Bengaluru, India.
  3. Department of Computer Science, Jain University, Bengaluru, India.
  4. Curriculum and Instruction, University of Port Harcourt, Port Harcourt Nigeria.

Correspondence should be addressed to: oruanmemoye@yahoo.com, .

Section:Research Paper, Product Type: Journal Paper
Volume-5 , Issue-11 , Page no. 90-93, Nov-2017

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v5i11.9093

Online published on Nov 30, 2017

Copyright © Oruan Memoye Kepeghom, J. Cruz Antony, Igenewari Ipeghan Godpower, Richard Tamunoibuomi . 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

XML View
PDF Download

How to Cite this Paper

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

IEEE Style Citation: Oruan Memoye Kepeghom, J. Cruz Antony, Igenewari Ipeghan Godpower, Richard Tamunoibuomi, “Impact of ICT and Curriculum Development (University Students from Nigeria) using Modified Technology Acceptance Model -TAM,” International Journal of Computer Sciences and Engineering, Vol.5, Issue.11, pp.90-93, 2017.

MLA Style Citation: Oruan Memoye Kepeghom, J. Cruz Antony, Igenewari Ipeghan Godpower, Richard Tamunoibuomi "Impact of ICT and Curriculum Development (University Students from Nigeria) using Modified Technology Acceptance Model -TAM." International Journal of Computer Sciences and Engineering 5.11 (2017): 90-93.

APA Style Citation: Oruan Memoye Kepeghom, J. Cruz Antony, Igenewari Ipeghan Godpower, Richard Tamunoibuomi, (2017). Impact of ICT and Curriculum Development (University Students from Nigeria) using Modified Technology Acceptance Model -TAM. International Journal of Computer Sciences and Engineering, 5(11), 90-93.

BibTex Style Citation:
@article{Kepeghom_2017,
author = {Oruan Memoye Kepeghom, J. Cruz Antony, Igenewari Ipeghan Godpower, Richard Tamunoibuomi},
title = {Impact of ICT and Curriculum Development (University Students from Nigeria) using Modified Technology Acceptance Model -TAM},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {11 2017},
volume = {5},
Issue = {11},
month = {11},
year = {2017},
issn = {2347-2693},
pages = {90-93},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1546},
doi = {https://doi.org/10.26438/ijcse/v5i11.9093}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v5i11.9093}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1546
TI - Impact of ICT and Curriculum Development (University Students from Nigeria) using Modified Technology Acceptance Model -TAM
T2 - International Journal of Computer Sciences and Engineering
AU - Oruan Memoye Kepeghom, J. Cruz Antony, Igenewari Ipeghan Godpower, Richard Tamunoibuomi
PY - 2017
DA - 2017/11/30
PB - IJCSE, Indore, INDIA
SP - 90-93
IS - 11
VL - 5
SN - 2347-2693
ER -

VIEWS PDF XML
1082 454 downloads 255 downloads
  
  
           

Abstract

The Education system is taking a new dimension, the ICT based teaching and learning. ICT is one of the contemporary factors which shapes the education system and has the ability to transform the system of education. To study the impact of ICT, acceptance level from the measure of intention of the users (i.e. students) has to be surveyed. Hence, Technology Acceptance Model (TAM) is used with the introduction of a latent variable for improvisation within the university settings. Data is collected using questionnaire, which is prepared to keep in mind all the variables in TAM. Various machine learning techniques have been imposed on the dataset and found that Decision tree has exhibited high accuracy in classification. The results prove that the factors impacting on user acceptance are availability of ICT, perceived ease of use, perceived impact in teaching & learning, perceived inhibitors in teaching & learning and perceived pleasure or arousal, availability, and inhibitor to use the system, which is also affected by inhibitors in the use of ICTs in the universities.

Key-Words / Index Term

Decision tree, Information Communication Technology, Machine Learning, Technology Acceptance Model

References

[1] B. Anderson and A. Moore, "AD trees for Fast Counting and for Fast Learning of Association Rules", Knowledge Discovery from Databases, pp. 134-138, 1988.
[2] M.G. Armentano, I. Christensen, and S. Schiaffino, "Applying the Technology Acceptance Model to Evaluation of Recommender System", Polibits, vol. 51, no. 10, pp. 73-79, 2015.
[3] M. Chuttur, "Overview of the Technology Acceptance Model: origins, developments and future directions" Working papers on information systems, vol. 9, no.37, pp. 1-22, 2009.
[4] J. Demsar et al., "Orange: Data Mining Toolbox in Python", Journal of Machine Learning Research, 14(Aug), pp. 2349−2353, 2013.
[5] K. Meena et al., "A Decision tree induction approach to study the population dynamics of Helicoverpa armigera (Hübner) and its natural enemies on cotton", Proceedings of the International Multi Conference of Engineers and Computer Scientists, Hong Kong, 2010, vol. 1, pp. 580-586.
[6] T.M. Mitchell, Machine Learning. McGraw Hill, 1997.
[7] S. Mitra, T. Acharya, Data Mining. Multimedia, Soft Computing, and Bioinformatics. New Jersey, John Wiley & Sons, Inc., 2003.
[8] H. Zhao and S. Ram, “Constrained cascade generalization of decision trees”, IEEE Transactions on Knowledge and Data Engineering, vol. 16, no. 6, pp. 727-739, 2004.