EFL Learners’ Use of Data-driven Learning and their Attitudes in the Improvement of English-speaking Skills
Year: 2024
Type: article
Abstract: The use of data-driven learning (DDL) to improve the English-speaking skills of learners of English as a foreign language (EFL) remains rare. Hence, this research examines whether two types of DDL – namely, hands-on DDL using the computer software directly and hands-off DDL using paper-based materials – can improve vocabulary production in the English speaking of EFL learners. The EFL learners’ attitudes toward both types of DDL were also examined. A total of 45 Thai EFL learners were involved in this research; they were divided equally into two experimental groups, one using hands-on DDL and hands-off DDL, and one control group. A questionnaire and interviews were used to examine the EFL learners’ attitudes toward DDL and a paired sample t-test and a one-way analysis of variance (ANOVA) were conducted. The results reveal that both hands-on and hands-off DDL approaches significantly improved vocabulary production in the EFL learners’ spoken English. In addition, the hands-on DDL had a significant effect on the quantity (sig. = .000, p <0.05), accuracy (sig. = .000, p <0.05), and complexity (sig. = .000, p <0.05) of the participants’ vocabulary production, while the hands-off DDL only had a significant effect on the accuracy (sig. = .000, p <0.05) of vocabulary production. Furthermore, although the EFL learners had relatively positive attitudes toward DDL, less enjoyable experiences were also noted. Experiences of boredom and stress while using DDL were reported, and the participants did not consider DDL to be suitable for all EFL learners.
Author: Zhaoyi Pan
Institution: King Mongkut's University of Technology Thonburi
Language: English
Subfield: Developmental and Educational Psychology
Field: Psychology
Domain: Social Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4402410441