1. 1.Research Design
1.1. Qualitative Methodology
1.1.1. Purpose: To explore experiences and perceptions of teachers and students.
1.1.2. Understanding how AI tools influence teaching and learning.
1.1.3. Investigate the practical use and impact of AI technologies on language acquisition in ELT.
2. 3.Data Analysis Strategies
2.1. Thematic Analysis
2.1.1. Process
2.1.1.1. Coding: Organize data into categories (student engagement,learning outcomes, technical challenges).
2.1.1.2. Identify Themes: Group similar codes into broader themes (positive impact on learning,technological limitations).
2.2. Comparative Analysis
2.2.1. Compare teacher and student responses to identify common experiences and differences.
3. 2. Data Collection Methods
3.1. Semi-structured Interviews
3.1.1. Participants: Teachers and students.
3.1.2. Purpose: To gain personal insights into their experiences with AI tools.
3.2. Classroom Observations
3.2.1. Observe and document how AI tools are utilized during actual lessons.
3.2.2. Gain real-time insights into teacher-student interactions and the technology's effectiveness.
3.3. Focus Group Discussions
3.3.1. Participants: Groups of teachers or students.
3.3.2. Objective: Explore collective experiences, challenges, and opinions about AI tools.
4. 4.Rationale
4.1. Exploration of Experiences
4.1.1. A qualitative approach allows for a deep understanding of the personal experiences and perceptions of both teachers and students.
4.2. Rich Data
4.2.1. Semi-structured interviews and focus groups provide detailed and rich data.
4.3. Real-World Context
4.3.1. Classroom observations provide real-life insights into how AI tools are actually applied in teaching.