The Social Software Learnability Prediction (SSLP) Tool
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

Downloads: 118 | Monthly Hits: ⮙4

Research Paper | Information Technology | Kenya | Volume 8 Issue 8, August 2019

The Social Software Learnability Prediction (SSLP) Tool

Masese. B. Nelson

There are many social softwares in the market, but not all of them are being utilized probably due to complicated user interface features, memorability of the software is difficult or due to very difficult language used in the application. The main purpose of this paper is to design the mobile social software learnability prediction tool, to assist the prediction of the learnability of the social software before it is released to the market. A sample of 361 respondents was selected, with 345 respondents returning feedback. Primary data was collected through the use of questionnaires targeting mobile social users in Central Rift valley of Kenya. Social networks were targeted include, WhatsApp, Facebook and Twitter. Data analysis was done using descriptive statistics. Principal component analysis was used to selected the most significant variables that were uses in the design of the tool, the variables that were considered include Customization, Satisfaction, Software consistency, User interface features, Language complexity and Memorability. Results from the tool were used in the prediction of social software learnability.

Keywords: Principal component analysis, User interface features, Language complexity, Memorability

Edition: Volume 8 Issue 8, August 2019

Pages: 1825 - 1829

Share this Article

How to Cite this Article?

Masese. B. Nelson, "The Social Software Learnability Prediction (SSLP) Tool", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=ART2020527, Volume 8 Issue 8, August 2019, 1825 - 1829

Enter Your Registered Email Address





Similar Articles with Keyword 'Principal component analysis'

Downloads: 118 | Monthly Hits: ⮙4

Research Paper, Information Technology, Kenya, Volume 8 Issue 8, August 2019

Pages: 1825 - 1829

The Social Software Learnability Prediction (SSLP) Tool

Masese. B. Nelson

Share this Article

Downloads: 127 | Weekly Hits: ⮙2

Research Paper, Information Technology, India, Volume 5 Issue 1, January 2016

Pages: 337 - 344

Bootstrapping in Text Mining Applications

C. K. Chandrasekhar, M. R. Srinivasan, B. Ramesh Babu

Share this Article

Similar Articles with Keyword 'Memorability'

Downloads: 118 | Monthly Hits: ⮙4

Research Paper, Information Technology, Kenya, Volume 8 Issue 8, August 2019

Pages: 1825 - 1829

The Social Software Learnability Prediction (SSLP) Tool

Masese. B. Nelson

Share this Article

Downloads: 122 | Weekly Hits: ⮙3

Research Paper, Information Technology, Kenya, Volume 6 Issue 10, October 2017

Pages: 1527 - 1533

Interface Features, Program Complexity and Memorability as Indicators of Learnability of Mobile Social Software

Nelson Bogomba Masese, Geoffrey Muchiri Muketha, Samuel Mungai Mbuguah

Share this Article



Top