MDOI Convergence Chronicles 110.1147/CON.2026.01118
110.1147/CON.2026.01118
Article

Using chatbots for English language learning in higher education

Nagaletchimee Annamalai, Radzuwan Ab Rashid, Umair Munir Hashmi, Misrah Mohamed, Marwan Harb Alqaryouti, Ala Eddin Sadeq 2024 Convergence Chronicles

Abstract

Despite the advancement of Chatbot technology, little is known about its affordances for language learning, especially in the context of Malaysian higher education institutions. Adapting the Push-Pull Mooring-Habit (PPMH) theoretical framework, this mixed-methods study examined Malaysian university students' experience in using Chatbots for English language learning, focusing on four main aspects; Performance Expectancy, Effort Expectancy, Social Isolation and Covid-19 Fear. A total of 360 undergraduate students from three public universities in Malaysia completed the questionnaire after being engaged with chatbots for three months. Twenty of them were also interviewed for an in-depth understanding of the phenomenon being investigated. The analysis reveals that Performance and Effort Expectancies contribute to the positive experience of using Chatbots for language learning hence serving as the Pull factors. Whereas Social Isolation contributed by the sense of robotic interaction, emotionlessness, and lack of flow in conversation serves as the Push Factor in using Chatbots for language learning. Despite the students’ disagreements with the social influence of Chatbots on their behavioural intentions, Chatbots are still considered beneficial enough to serve as an interlocutor for English language learning.

Identifier Metadata

Identifier 110.1147/CON.2026.01118
Canonical mdoi:110.1147/CON.2026.01118
Resolver URL https://mdoi.org/110.1147/CON.2026.01118
Resource URL Open resource
Document URL Open document
Content Type Article
Authors Nagaletchimee Annamalai, Radzuwan Ab Rashid, Umair Munir Hashmi, Misrah Mohamed, Marwan Harb Alqaryouti, Ala Eddin Sadeq
Year 2024
Depositor Convergence Chronicles Organisation
Prefix 110.1147
Registered Aug. 19, 2026
Updated Aug. 19, 2026
Status Active
Visibility Public

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