CFP last date
22 April 2024
Reseach Article

Personalizing University Email toward User Acceptance: An Initial Study

by Bshaer Alwagadani, Khalid Alomar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 160 - Number 5
Year of Publication: 2017
Authors: Bshaer Alwagadani, Khalid Alomar
10.5120/ijca2017913050

Bshaer Alwagadani, Khalid Alomar . Personalizing University Email toward User Acceptance: An Initial Study. International Journal of Computer Applications. 160, 5 ( Feb 2017), 17-23. DOI=10.5120/ijca2017913050

@article{ 10.5120/ijca2017913050,
author = { Bshaer Alwagadani, Khalid Alomar },
title = { Personalizing University Email toward User Acceptance: An Initial Study },
journal = { International Journal of Computer Applications },
issue_date = { Feb 2017 },
volume = { 160 },
number = { 5 },
month = { Feb },
year = { 2017 },
issn = { 0975-8887 },
pages = { 17-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume160/number5/27068-2017913050/ },
doi = { 10.5120/ijca2017913050 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:05:50.170016+05:30
%A Bshaer Alwagadani
%A Khalid Alomar
%T Personalizing University Email toward User Acceptance: An Initial Study
%J International Journal of Computer Applications
%@ 0975-8887
%V 160
%N 5
%P 17-23
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The purpose of this paper is to examine students and faculty members commitment of using university email in Saudi Arabia, using online survey at King Abdulaziz University. The paper describes an initial study conducted before the development of an experimental personalized email platform to investigate these issues. The survey targets 1847 students (1359 female and 488 male), and 101 faculty members (58 female, and 43 male). The results show that only 23% of students are using the university email to communicate regularly, unlike the faculty members who shows 80% commitment. Furthermore, the evidence from this study suggests that applying personalized techniques has a strong and positive impact on both types of respondents, and considered as a clue for a potential system improvement to increase users’ commitment of the university email.

References
  1. L. Li and J. P. Pitts, "Does it really matter? Using virtual office hours to enhance student-faculty interaction," Journal of Information Systems Education, vol. 20, p. 175, 2009.
  2. K. Betts, "Lost in translation: Importance of effective communication in online education," Online Journal of Distance Learning Administration, vol. 12, pp. 1-13, 2009.
  3. H. Alkahtani, R. Dawson, and R. Lock, "Communication and effective email usage in Saudi Arabia," 2015.
  4. J. P. Mendez, J. Curry, M. Mwavita, K. Kennedy, K. Weinland, and K. Bainbridge, "To friend or not to friend: Academic interaction on Facebook," International Journal of Instructional Technology & Distance Learning, vol. 6, pp. 33-47, 2009.
  5. L. Robson, L. Cook, and N. Habgood, "Student experience of university email communication," in Proceedings of the 10th International Technology, Education and Development Conference, 2016, pp. 6118-6124.
  6. J. Waycott, S. Bennett, G. Kennedy, B. Dalgarno, and K. Gray, "Digital divides? Student and staff perceptions of information and communication technologies," Computers & education, vol. 54, pp. 1202-1211, 2010.
  7. T. Judd and G. Kennedy, "A five-year study of on-campus Internet use by undergraduate biomedical students," Computers & Education, vol. 55, pp. 1564-1571, 2010.
  8. C. Rasmussen and G. Johnson, "The Ripple Effect of Virginia Tech: Assessing the Nationwide Impact on Campus Safety and Security Policy and Practice," Midwestern Higher Education Compact, 2008.
  9. M. D. Roblyer, M. McDaniel, M. Webb, J. Herman, and J. V. Witty, "Findings on Facebook in higher education: A comparison of college faculty and student uses and perceptions of social networking sites," The Internet and higher education, vol. 13, pp. 134-140, 2010.
  10. C. McLoughlin and M. J. Lee, "Future learning landscapes: Transforming pedagogy through social software," Innovate: Journal of Online Education, vol. 4, p. 1, 2008.
  11. M. E. Cecchinato, J. Bird, and A. L. Cox, "Personalised email tools: a solution to email overload?," in CHI'14 Workshop: Personalised Behaviour Change Technologies, 2014.
  12. E. Carmel and E. Káganer, "Ayudarum: an Austrian crowdsourcing company in the Startup Chile accelerator program," Journal of Business Economics, vol. 84, pp. 469-478, 2014.
  13. L. Singh and G. Chetty, "Email Personalization and User Profiling Using RANSAC Multi Model Response Regression Based Optimized Pruning Extreme Learning Machines and Gradient Boosting Trees," in International Conference on Neural Information Processing, 2015, pp. 302-309.
  14. M. Srivastava and M. Goyal, "Personalization of automatic e-mail response for the university system," in Confluence 2013: The Next Generation Information Technology Summit (4th International Conference), 2013, pp. 485-489.
  15. K. Karthik and R. Ponnusamy, "Adaptive machine learning approach for emotional email classification," in International Conference on Human-Computer Interaction, 2011, pp. 552-558.
  16. H. Sethi, A. Sirohi, and M. K. Thakur, "Intelligent Mail Box," in Information Systems Design and Intelligent Applications, ed: Springer, 2016, pp. 441-450.
  17. B. Serim, V. T. Tung, T. Ruotsalo, L. Micallef, and G. Jacucci, "mailVis: Visualizing emailbox for re-finding emails," in Visual Analytics Science and Technology (VAST), 2014 IEEE Conference on, 2014, pp. 275-276.
  18. J. BRZEZINSKI and M. DAIN, "MEME': An Adaptive Email-based Knowledge," in Advanced Computer Systems: Eighth International Conference, ACS’2001 Mielno, Poland October 17–19, 2001 Proceedings, 2012, p. 171.
  19. C.-H. Mao, H.-M. Lee, and C.-F. Yeh, "Adaptive e-mails intention finding system based on words social networks," Journal of Network and Computer Applications, vol. 34, pp. 1615-1622, 2011.
  20. P. Hao, X. Chen, N. Cheng, R. Chandramouli, and K. Subbalakshmi, "Adaptive context modeling for deception detection in emails," in International Workshop on Machine Learning and Data Mining in Pattern Recognition, 2011, pp. 458-468.
  21. K. Harini and U. Nanaji, "Implementation of personalized email prioritization-A content based social network analysis," International Journal of Computer Science and Communication Networks, vol. 1, pp. 218-221, 2012.
  22. Q. M. Ha, Q. A. Tran, and T. T. Luyen, "Personalized email recommender system based on user actions," in Asia-Pacific Conference on Simulated Evolution and Learning, 2012, pp. 280-289.
  23. A. L. Cox, J. Bird, and R. Fleck, "Digital Epiphanies: how self-knowledge can change habits and our attitudes towards them," 2013.
  24. M. Godlewska and B. Wiszniewski, "Smart Email: Almost An Agent Platform," in Innovations and Advances in Computing, Informatics, Systems Sciences, Networking and Engineering, ed: Springer, 2015, pp. 581-589.
Index Terms

Computer Science
Information Sciences

Keywords

University email personalization adaptive system informal email acceptance