International Journal of Advanced and Applied Sciences

Int. j. adv. appl. sci.

EISSN: 2313-3724

Print ISSN: 2313-626X

Volume 4, Issue 2  (February 2017), Pages:  17-21


Title: Perception of students on usage of mobile data by K-mean clustering algorithm

Author(s):  Arshad Khan 1, Samad Baseer 2, Sarfaraz Javed 3,*

Affiliation(s):

1Department of Computer Science, Qurtuba University of Science and Technology, Peshawar, KPK, Pakistan
2Department of Computer System Engineering, University of Engineering and Technology, Peshawar, KPK, Pakistan
3Department of Commerce, Aligarh Muslim University, Aligarh, India

https://doi.org/10.21833/ijaas.2017.02.003

Full Text - PDF          XML

Abstract:

This study is conducted in order to analyze the perception of students on use of mobile learning 3G/4G in higher education. Data has been collected through the survey data, this study comprises research questions based on the previous literature review and formulated hypotheses to check the tentative statements. Furthermore, collected data has been analysis using K-mean algorithm. Additionally, this study explore methodological gap using K-Mean clustering algorithm. The sample study consisted of 200 students in the department of computer science at Gomal and Qurtuba universities in Dere Ismail Khan. 

© 2017 The Authors. Published by IASE.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Keywords: M-learning, 3G/4G mobile technology, K-mean clustering algorithm, Higher education

Article History: Received 19 October 2016, Received in revised form 10 December 2016, Accepted 13 December 2016

Digital Object Identifier: 

https://doi.org/10.21833/ijaas.2017.02.003

Citation:

Khan A, Baseer S, and Javed S (2017). Perception of students on usage of mobile data by K-mean clustering algorithm. International Journal of Advanced and Applied Sciences, 4(2): 17-21

http://www.science-gate.com/IJAAS/V4I2/Khan.html


References:

Attewell J and Savill-Smith C (2004). Learning with mobile devices: Research and development: A book of papers. Learning Skills and Development Agency, London, UK.
PMid:15707167

Brown TH (2003). The role of m-learning in the future of e-learning in Africa. In 21st ICDE World Conference, Hong Kong. Available online at:

http://www.tml.tkk.fi/Opinnot/T-110.556/2004/Materiaali/brown03.pdf

Caladine R (2008). Enhancing e-learning with media-rich content and interactions. Information Science Publishing, New York, USA.
https://doi.org/10.4018/978-1-59904-732-4

Carlson S (2005). The net generation goes to college. The chronicle of higher education, 52(7): A34. Available online at:

http://www.chronicle.com/article/The-Net-Generation-Goes-to/12307

Collis J and Hussey R (2013). Business research: A practical guide for undergraduate and postgraduate students. Palgrave Macmillan, Basingstoke, UK.
Costa JC, Ojala T, and Korhonen J (2008). Mobile lecture interaction: Making technology and learning click. In IADIS International Conference Mobile Learning, Algarve, Portugal: 119-124.
Fetaji B, Ebibi M, and Fetaji M (2011). Assessing effectiveness in mobile learning by devising MLUAT (mobile learning usability attribute testing) methodology. International Journal of Computers and Communications, 5(3): 178-187.
Kombo DK and Tromp DL (2006). Proposal and thesis writing: An introduction. Nairobi: Paulines Publications Africa, Nairobi Kenya.
Krejcie RV and Morgan DW (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30: 607-610.

Nazeer KAA and Sebastian MP (2009). Improving the accuracy and efficiency of the k-means clustering algorithm. In the Proceedings of the World Congress on Engineering. Available online at:

http://www.iaeng.org/publication/WCE2009/ WCE2009_pp308-312.pdf

Sangeetha K, Mohanapriya D, Gowathami D, and Mujeeb M (2015). Web usage data clustering using improved k-means algorithm. International Journal of Advanced Research in Computer Science and Software Engineering, 5(8): 242-245.
Sekaran U (1999). Research methods for business: A skill-building approach. 3rd Edition, Wiley, New Jersey, USA.
Sharples M, Taylor J, and Vavoula G (2005). Towards a theory of mobile learning. In the Proceedings of MLearn, 1(1): 1-9. http://www.compassproject.net/sadhana/teaching/readings/sharplesmobile.pdf
Switzer S and Csapo N (2005). Survey of student usage of digital technology: Teaching implications. Issues in Information Systems, VI(1): 127-133.
Trifonova A, Georgieva E, and Ronchetti M (2006). Determining students' readiness for mobile learning. In Proceedings of the 5th WSEAS International Conference on E-ACTIVITIES. Venice, Italy: 84-89.
Wendeson S, Ahmad WFBW, and Haron NSB (2010). University students awareness on M-learning. World Academy of Science, Engineering and Technology, International Journal of Social, Behavioral, Educational, Economic, Business and Industrial Engineering, 4(2): 133-137.