文章基本信息

标题：Interaction Analysis of WhatsApp Application Integration in M-Learning
本地全文：下载
作者：Raja Muhammad Ishtiaq Khan ; Tribhuwan Kumar
期刊名称：Webology
印刷版ISSN：1735-188X
出版年度：2022
卷号：19
期号：1
页码：795-806
DOI：10.14704/WEB/V19I1/WEB19056
语种：English
出版社：University of Tehran
摘要：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.
关键词：Interaction Analysis;WhatsApp;LREs;Vocabulary