Enhancing Pre-Service English Teacher Self-Efficacy through Reflective, Collaborative, and Technology-Mediated Task-Based Language Teaching: A Design-Based Research Study in Indonesia

This dataset contains the complete empirical materials collected for a longitudinal Design-Based Research (DBR) study investigating the development of Indonesian pre-service English teachers’ self-efficacy through Technology-Mediated Task-Based Language Teaching (TMTBLT). The study was conducted at the English Education Department of Sintuwu Maroso University and implemented across three iterative design cycles.

The dataset includes five major data types:

Questionnaire data – pre- and post-intervention survey responses measuring constructs such as reflective teaching, collaborative learning, technology integration, and teacher self-efficacy. Files include the questionnaire instrument, anonymized responses in .csv format, and a codebook detailing variable definitions and scales.

Video recordings – anonymized classroom observations capturing technology-mediated task-based teaching and collaborative learning practices, accompanied by transcripts and contextual notes.

Audio recordings – semi-structured interviews and reflective discussions with participants, stored in .wav and .mp3 formats with corresponding transcripts and metadata sheets.

Statistical analysis files – SPSS data (.sav), syntax files (.sps), and output summaries documenting quantitative analyses across design cycles.

Qualitative content analysis materials – anonymized transcripts, coding frameworks, and NVivo project files (.nvp) that outline the thematic analysis procedures and findings.

All files have been ethically reviewed and fully anonymized to protect participant identities. Documentation is provided in a detailed README file, including methodological notes, coding frameworks, and analytic procedures. This dataset supports transparency, reproducibility, and reuse for further studies on teacher education, technology integration, and task-based language pedagogy.