Factors Influencing Task-Based Learning Motivation in English for Presentation Course among Thai Undergraduates

Engaging students in active learning environments like task-based presentations can be challenging, as several factors influence their motivation. The purpose of this study was to investigate the factors influencing motivation in task-based learning in the English for Presentation course. Thirty undergraduate students who enrolled in the English for Presentation course in the second semester of the 2022 academic year at a university in Bangkok, Thailand, were purposively selected as the participants for the study. The research instrument was the minute paper that students were asked to write about their thoughts and feelings in response to the presented task, which required them to work independently, in pairs, and in groups. The study revealed that students' intrinsic motivation, English proficiency, task relevance, instructor support, and task variety were the factors that influenced their motivation in task-based learning in the English for Presentation course. The study found that the intrinsic motivation of the students was the most significant factor in the English for Presentation course after considering each factor. The findings of this study are valuable to all stakeholders in the learning and teaching process in order to create successful strategies, raise motivation, and promote positive attitudes about English learning and teaching in Thai context.

Authors

Publication Details

Journal
Anatolian Journal of Education
Published
2024-08-26
DOI
https://doi.org/10.29333/aje.2024.925a
Primary Topic
Technology-Enhanced Education Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Factors Influencing Task-Based Learning Motivation in English for Presentation Course among Thai Undergraduates

Arnantawut Tiang-uan
Anatolian Journal of Education
Technology-Enhanced Education Studies
article

Factors Influencing Task-Based Learning Motivation in English for Presentation Course among Thai Undergraduates

Arnantawut Tiang-uan
article en

Abstract

Engaging students in active learning environments like task-based presentations can be challenging, as several factors influence their motivation. The purpose of this study was to investigate the factors influencing motivation in task-based learning in the English for Presentation course. Thirty undergraduate students who enrolled in the English for Presentation course in the second semester of the 2022 academic year at a university in Bangkok, Thailand, were purposively selected as the participants for the study. The research instrument was the minute paper that students were asked to write about their thoughts and feelings in response to the presented task, which required them to work independently, in pairs, and in groups. The study revealed that students' intrinsic motivation, English proficiency, task relevance, instructor support, and task variety were the factors that influenced their motivation in task-based learning in the English for Presentation course. The study found that the intrinsic motivation of the students was the most significant factor in the English for Presentation course after considering each factor. The findings of this study are valuable to all stakeholders in the learning and teaching process in order to create successful strategies, raise motivation, and promote positive attitudes about English learning and teaching in Thai context.

Anatolian Journal of EducationVol. 9(2)
Quality Education
Openalex Percentile: Top 81%
Technology-Enhanced Education Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.