Libraries at University of Nebraska-Lincoln

 

Date of this Version

Winter 1-3-2021

Abstract

Different models and theories have been tested in educational institutions to predict academic performance of the students. With the development of the technology and the advancement of communication channels, this study explores the impact of the usage of technology on student’ academic performance. For this purpose, the study aims at hiring technology acceptance model (TAM) to test the effect of the usage of social media on academic performance. TAM-core variables are comprised of five variables including perceived ease of use of social media, perceived usefulness of social media, intention to use of social media, and actual use of social media. Interestingly, the study sees the effect of TAM-core variables predicting academic performance of the postgraduate students by the moderating of academic self-efficacy. The study used Quantitative research method by adopting design survey questionnaires. First, the study administered survey questionnaires among the postgraduate students of public and private universities. The study found that there was the significant links among TAM-core variables. In addition, actual use of social media was found to have significant and positive impact on academic performance. Moreover, academic self-efficacy was found to have the moderating role between actual use of social media and academic performance. Second, the study uses Qualitative research method by conducting face-to-face interviews to support the academic self-efficacy of the students to respond academic performance positively. The study identified personal and socio-contextual factors further categorizing into other factors. Finally, the study contributes to future directions, limitations and practical implications.

Path Final model.PNG (51 kB)
Path coefficient model

FInal CFA.PNG (45 kB)
confirmatory analysis file

dataasif.sav (20 kB)
data file

Path cofficients.xlsx (5321 kB)
path coefficient file

CFA.xlsx (662 kB)
confirmatory factor analysis model

blindfolding.xlsx (151 kB)
blindfolding file

Questionnaire.docx (15 kB)
Questionnaire doc

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