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Data-driven learning (DDL) activities: do they truly promote EFL students’ writing skills development?

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Abstract

Data-driven learning (DDL) has been demonstrated to be an operative strategy for assisting learners to handle a range of writing-related problems. Several studies have been conducted to compare the pedagogical effectiveness of DDL in English as a foreign language (EFL) writing. However, only a few studies have identified key factors that may affect learning outcomes when designing DDL activities. To bridge this gap, the present study looked at the medium-term effects of DDL activities in EFL writing. A pre-post quasi-experimental research design and semi-structural interviews were arranged to collect data from 64 Arab EFL undergraduate students. The DDL was carried out with the aid of BNCweb and offered the assessment of the findings by contrasting the efficiency of BNCweb with that of Sketch Engine, which is employed as a reference tool by EFL learners. The quantitative results showed that the experimental group’s use of BNCweb inspired their writing to be more fluid and consistent in the posttest as compared to the control group, which employed the Sketch Engine tool. However, no significant difference was detected between the groups in writing intricacy. The qualitative results indicated that students had positive attitudes toward using BNCweb, despite the challenges of implementing corpora in the writing process. It was recommended that integrating corpora with other types of reference sources would be a viable solution to overcome any potential obstacles for EFL learners.

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Data availability

The datasets generated during the current study are available from the corresponding author upon reasonable request.

Abbreviations

AES:

Automated Essay Scoring

BNC:

British National Corpus

CQP:

Corpus Query Processor

C/T:

Clauses/T-unit

DDL:

Data-Driven Learning

EFL:

English as a Foreign Language

EFT/T:

Error Free T-units/T-units

ETS:

Educational Testing Service

E/W*100:

Errors per 100 Words

M :

Mean no. of words per composition

MI:

Mutual Information

POS:

Part-of-Speech

TTR:

Type-Token Ratio

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Acknowledgements

The author is grateful to the participants who took part in the study.

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Correspondence to Muneera Muftah.

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Conflict of interests

The author declares no conflict of interest.

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Confidentiality and participants’ identities were protected by collecting data anonymously. All participants were assured that their responses would only be used for scientific research purposes.

Informed consent

All participants were asked to answer the questions willingly and stress-free. Otherwise, they could easily withdraw.

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Muftah, M. Data-driven learning (DDL) activities: do they truly promote EFL students’ writing skills development?. Educ Inf Technol 28, 13179–13205 (2023). https://doi.org/10.1007/s10639-023-11620-z

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  • DOI: https://doi.org/10.1007/s10639-023-11620-z

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