Social Network Prediction Measurement in Education

Authors(2) :-S. Banumathi, A. Aloysius

Many millions of people on a regular basis use online social networking (OSN) sites such as Facebook, Twitter and Myspace. Social media is very prevalent among young adults over the last decade. It has high influence among students. The social media and custom usage of social media has on unintended effect in the social communication and interpersonal relationships and self-concept among college students. This study moreover aims to examine predictors for students’ perceived helpfulness of social media and the use of it in education. From the result of the study, the social media can be considered as one of the education tools.

Authors and Affiliations

S. Banumathi
Assistant Professor, Department of Computer Science, Holy Cross College, Trichy, Tamil Nadu, India
A. Aloysius
Assistant Professor, Department of Computer Science, St. Joseph’s College, Trichy, Tamil Nadu, India

Prediction, Statistical Measurement, Social Media Analysis, Educational Tool.

  1. Jieun Lim, Jenifer C Richardson, "Exploring the effects of students social networking experience on social presence and perceptions of using SNS for educational purposes", Elsevier Ltd, December (2015).
  2. AbuElnasr, E.Sobaih, Mohamed A. Moustafa , Parvis Ghand foroush, "To use or not to use? Social media in higher education in developing countries", Elsevier Ltd, January (2016).
  3. Reynol junco "Student class standing, Facebook use, and academic performance", Elsevier Ltd, November (2014).
  4. Tugberkkaya,HuseyinBicen "The effects of social media on students’ behaviors", Elsevier Ltd, February(2016).
  5. Sujeatkumar Sharma, AnkitaJoshi,Himanshu Sharma "A multi-analytical approach to predict the facebook usage in higher education", Elsevier Ltd,  September (2015).
  6. WaleedMugahed Al-Rahmi, MohdShahizan Othman "The impact of social media use on academic performance among university students", Journal of Information Systems Research and Research Innovation , November(2015).
  7. Ali Mohamed Elkaseh, KokWaiWong , Chun Che Fung "Perceived Ease of use and Perceived usefulness of social media for e-learning in Libyan higher Education: A Structural Equation Modeling Analysis", International Journal of Information Theory , March(2016).
  8. OlutolaAdekunle Thomas, "Assessment of social media utilization and study habit of students of Tertiary Institutions in katsina state", International Journal of advances in engineering and applied sciences, (2016).
  9. M.I.Lopez, J.M Luna, C.Romero, S.Ventura "Classification via clustering for predicting final marks based on student participation in forums", Proceedings of International Conference on Educational Data mining, (2015).
  10. Xing Wanli,GuoRui, Petakovic Eva, Goggins Sean "Participation-based student final performance prediction model through interpretable Genetic programming: Integrating learning analytics, educational data mining and theory", Elsevier Ltd,  November(2014).

Publication Details

Published in : Volume 2 | Issue 5 | September-October 2017
Date of Publication : 2017-09-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 458-461
Manuscript Number : CSEIT172594
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

S. Banumathi, A. Aloysius, "Social Network Prediction Measurement in Education", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 5, pp.458-461, September-October-2017.
Journal URL :

Article Preview

Follow Us

Contact Us