Qualitative Research

Qualitative Research

1. Research Design

   • Exploratory / Causal – Justification
     • The aim is to understand how students perceive and experience the use of tools like ChatGPT to improve their vocabulary and speaking skills.

2. Data Collection Methods

   • Semi-structured interviews
     • They allow for in-depth exploration of individual perceptions and personal experiences.
   • Field journals
     • provide longitudinal data on emotions, difficulties, and progress.
   • Questionnaires with open-ended questions
     • facilitate the collection of diverse perspectives and sincere participation in an asynchronous mode.

3. The qualitative approach was chosen for its ability to explore perceptions, experiences, and meanings related to the use of artificial intelligence (AI) tools in learning English in virtual environments.

4. General justification

   • The qualitative approach allows for a deeper understanding of the phenomenon, moving beyond a superficial analysis of numbers
   • The selected methods are adapted to the virtual context and encourage active student participation.
   • Thematic analysis captures the complexity of the AI-mediated educational process, including contradictions and emergent learning.
   • The methodology aligns with the objectives of action research, focused on the practical improvement of the learning environment.

5. Analysis strategies

   • ideal for identifying recurring patterns, categories, and meanings in qualitative data
   • Use of NVivo software to systematically organize, code, and visualize data.
   • Stages
     • Open Coding: Initial identification of themes.
     • Axial Coding: Relationships between categories.
     • Selective Coding: Consolidation of main themes.

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