Preliminary perception of teaching and learning using Telegram social media tool / Mohammad Nizam Ibrahim … [et al.]

Ibrahim, Mohammad Nizam (2016) Preliminary perception of teaching and learning using Telegram social media tool / Mohammad Nizam Ibrahim … [et al.]. ESTEEM Academic Journal : Social Sciences & Technology, 12 (2). pp. 95-103. ISSN 1675-7939

Abstract

The purpose of this study was to investigate the perception of students’ using ‘Telegram’ as a support tool for teaching and learning. The population of this study was 66 students who were studying Bachelor of Electrical and Electronic Engineering at Universiti Teknologi MARA, Pulau Pinang. The students were exposed to the Telegram application as a supporting tool in their teaching and learning during Mac – September 2015 academic semester. At the end of the semester, an online survey consisting of a true-false question, several agreement-level questions and open-ended questions were developed using google form that was distributed to students via the Telegram application to collect their feedbacks. The student feedbacks were analysed to obtain results on their perception. The results indicated that the Telegram tool does support student learning process in term of easily sharing information and interaction with lecturers and their classmates. The obtained results could be used to motivate lecturers to employ the Telegram tool for supporting teaching and learning process.

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Ibrahim, Mohammad Nizam
UNSPECIFIED
Divisions: Universiti Teknologi MARA, Pulau Pinang
Journal or Publication Title: ESTEEM Academic Journal : Social Sciences & Technology
ISSN: 1675-7939
Volume: 12
Number: 2
Page Range: pp. 95-103
Keywords: Teaching and learning; Telegram; Social media tool
Date: December 2016
URI: https://ir.uitm.edu.my/id/eprint/17006
Edit Item
Edit Item

Download

[thumbnail of AJ_MOHAMMAD NIZAM IBRAHIM ESTEEM 16.pdf] Text
AJ_MOHAMMAD NIZAM IBRAHIM ESTEEM 16.pdf

Download (583kB)

ID Number

17006

Indexing

Statistic

Statistic details