Open AccessInteraction Analysis of WhatsApp Application Integration in M-Learning
Author(s) -
Raja Muhammad Ishtiaq Khan,
T. Vijaya Kumar
Publication year - 2022
Publication title -
webology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.259
H-Index - 18
ISSN - 1735-188X
DOI - 10.14704/web/v19i1/web19056
Subject(s) - vocabulary , class (philosophy) , psychology , correlation , mathematics education , function (biology) , computer science , mathematics , linguistics , artificial intelligence , philosophy , geometry , evolutionary biology , biology
Interaction analysis (IA) describes and analyzes an instructor's verbal interaction with a student (s). The use of interaction analysis has aided in the monitoring of teacher verbal behavior. WhatsApp is also extensively used in language learning, and it is the most widely used program for this function. WhatsApp Interaction was investigated using Language Related Episodes (LRE) and Interaction Analysis to utilize WhatsApp. Eight pairs of pupils were formed from the sampled students. The 16 students were all enrolled in the public university's PYP section. The investigation took place for four weeks, for three days for the class, and the sampled students collaborated in pairs via WhatsApp. Pearson's correlation method was used to demonstrate the association between two or more groups without any modification. Findings indicated that there was a negative correlation between the time spent on WhatsApp and vocabulary scores.