№ 7-son.
T
ARA
QQIY
O
T
ПР
ОГРЕС С
PR
OGRESS
Selection of Participants: The participants in this study will be undergraduate students majoring in disciplines related to future spe-
cialist fields, such as business, engineering, environmental studies, or social sciences, from diverse higher
education institutions. A purposive sampling technique will be utilized to ensure representation from various in-
stitutions and program levels. The selection criteria will include students who have completed English language
courses and have some level of awareness or interest in the green economy.
Data Collection Methods: The data collection process will involve the use of both surveys and semi-structured interviews. The sur-
veys will be administered to a larger sample of participants to gather quantitative data on their perceived pro-
ficiency in career-oriented communication competences, their attitudes toward the integration of sustainability
principles in language education, and their understanding of the green economy. The surveys will utilize Likert-
scale and open-ended questions to allow for both quantitative and qualitative analysis.
Semi-structured interviews will be conducted with a smaller subset of participants to obtain more in-depth
insights into their experiences and perspectives regarding career-oriented communication competences and
the integration of sustainability principles in English language teaching. The interviews will be audio-recorded
with the participants' consent and transcribed verbatim for further analysis.
Data Analysis: The quantitative data collected from the surveys will be analyzed using descriptive statistics and inferential
statistics, such as correlation analysis, to examine the relationships between variables. The qualitative data
from the open-ended questions in the surveys and the interview transcripts will be analyzed using thematic
analysis. This approach involves identifying recurring themes, patterns, and categories in the data to gain a
deeper understanding of the participants' perspectives and experiences.
The integration of quantitative and qualitative data will provide a comprehensive analysis of the research
topic, allowing for triangulation and validation of the findings. The data analysis process will be iterative, involv-
ing coding, categorization, and interpretation of the data. The analysis will be conducted using qualitative data
analysis software and statistical software, ensuring rigor and consistency in the analysis process.
