The International Journal of Technology, Innovation, and Education

ISSN: 2820 – 7521

Volume 4, 2026 – Issue 1

Beyond learning outcomes: Tracking Tunisian learners’ actual use of phraseology in a data-driven learning course

DOI: 10.5281/zenodo.18445036

Abstract

This study investigates how master students majoring in Business Studies engage with the corpus toolkit AntConc in a data-driven learning (DDL) intervention targeting non-finite phraseological patterns in academic writing. Thirty-five Tunisian EFL students participated in a five-week course combining guided practice with independent concordance searching. Six annotated patterns, drawn from a business-domain corpus, were deployed for structural and functional analysis. Learner activity during DDL tasks was tracked through screen recordings for a sub-sample of 20 students and supplemented by written reflection logs. Tracking captured query variety, search refinement, time on task, use of AntConc features, pattern documentation, and discourse function recognition, adapted from established frameworks (Pérez-Paredes et al., 2011, 2012). Learning outcomes were assessed through pre-, post-, and delayed tests. Results showed significant gains in the use of target structures, though retention varied across learners. Correlations indicated that varied querying and systematic notetaking were associated with higher gains. Thematic analysis of the reflection logs corroborated these findings, revealing increased phraseological awareness but persistent challenges in discourse function identification. Thereby, the study demonstrates the value of integrating behavioural monitoring into corpus-based instruction, supporting the design of scaffolded, tool-mediated environments that foster phraseological competence and learner autonomy.

Keywords: data-driven learning, AntConc, phraseology, tracking learners, academic writing, Business English 

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Research Papers

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Ben Amor, O., & Derbel, F. (2026). Beyond learning outcomes: Tracking Tunisian learners’ actual use of phraseology in a data-driven learning course. The International Journal of Technology, Innovation, and Education, 4(1), 7–43. https://doi.org/10.5281/zenodo.18445036

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Ben Amor, Olfa, and Faiza Derbel. 2026. “Beyond Learning Outcomes: Tracking Tunisian Learners’ Actual Use of Phraseology in a Data-Driven Learning Course.” The International Journal of Technology, Innovation, and Education 4 (1): 7–43. https://doi.org/10.5281/zenodo.18445036.

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Ben Amor, Olfa, and Faiza Derbel. “Beyond Learning Outcomes: Tracking Tunisian Learners’ Actual Use of Phraseology in a Data-Driven Learning Course.” The International Journal of Technology, Innovation, and Education, vol. 4, no. 1, Feb. 2026, pp. 7–43, https://doi.org/10.5281/zenodo.18445036.

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O. Ben Amor and F. Derbel, “Beyond learning outcomes: Tracking Tunisian learners’ actual use of phraseology in a data-driven learning course,” The International Journal of Technology, Innovation, and Education, vol. 4, no. 1, pp. 7–43, Feb. 2026, doi: 10.5281/zenodo.18445036.

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Ben Amor, O. and Derbel, F. (2026) “Beyond learning outcomes: Tracking Tunisian learners’ actual use of phraseology in a data-driven learning course,” The International Journal of Technology, Innovation, and Education, 4(1), pp. 7–43. Available at: https://doi.org/10.5281/zenodo.18445036.

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Ben Amor O, Derbel F. Beyond learning outcomes: Tracking Tunisian learners’ actual use of phraseology in a data-driven learning course. The International Journal of Technology, Innovation, and Education [Internet]. 2026 Feb 1;4(1):7–43. Available from: https://ijtie.com/wp-content/uploads/2026/01/N40102.pdf

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Ben Amor, O., & Derbel, F. (2026). Beyond learning outcomes: Tracking Tunisian learners’ actual use of phraseology in a data-driven learning course. The International Journal of Technology, Innovation, and Education, 4(1), 7–43. https://doi.org/10.5281/zenodo.18445036

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About the authors
  1. Olfa Ben Amor is an assistant professor at the Faculty of Letters and Human Sciences of Sousse (University of Sousse, Tunisia). She holds an MA in English Didactics from the Higher Institute of Education and Training in Tunis and a Ph.D. in Applied Linguistics from the University of Manouba, Tunisia. Her research interests focus on corpus linguistics, the use of corpora for language learning (known as ‘data-driven learning’), phraseology, ESP, EAP, and integrating technology in English classrooms. She is currently a board member of Tunisia TESOL and a member of the Laboratory for Approaches to Discourse (LAD).
    BenAmor.Olfa@flsh.u-sousse.tn
    ↩︎
  2. Faiza Derbel is an Associate Professor of English and Applied Linguistics at the Faculty of Letters, Arts and Humanities, Manouba, Tunis. She holds a Ph.D. from the Institute of Education, London University and an MA in Applied Linguistics/TESL/CALL from Iowa State University, USA. Her research interests include ELT, Educational Technology, Computer-assisted Language Learning (CALL), and Teacher Cognition. She is currently member of the University of Manouba Scientific Council, the Scientific Council of the Laboratory for Approaches to Discourse (LAD), and a founding member of Tunisia TESOL and its Secretary General (2023-2027).
    Faiza.derbal@flah.uma.tn
    ↩︎
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