FDP QQR-2024:

Joining Faculty Development Program FDP QQR-2024, offered by Eudoxia Research University and Eudoxia Research Centre is a transformative step for educators looking to enhance their careers and contribute more effectively to their institutions and the broader academic community. The skills, knowledge, and networks gained from such programs not only benefit individual career trajectories but also elevate the standards of education and research. As the academic landscape continues to evolve, participation in FDPs will be increasingly important for educators aiming to excel in their fields and foster environments of innovation and excellence.

Program Highlights:

• Classes and Webinars led by internationally renowned educators and researchers.
• Hands-on training in the latest educational technology and research methodologies.
• Opportunities for collaborative research work and publications.
• A global network of peers and mentors to support your career growth.
• Certificate of completion from Eudoxia Research University and Eudoxia Research Centre, recognized worldwide.                                            The Broader Impact of FDP Participation

  1. Institutional Benefit: Educators who participate in FDPs contribute to their home institutions by bringing back advanced knowledge, innovative teaching methods, and new research opportunities. 

  2. Quality Education: Improved teaching methods and curriculum design directly impact the quality of education students receive. 

  3. Global Standards: Participants are helping in aligning their institutions with international benchmarks, facilitating global collaborations and accreditations.

Day 1: 5th January, 2024 – Friday

Topic: Fundamentals of Qualitative Research Design

1. Qualitative research is an exploratory approach to research that aims to understand the experiences, perspectives, and meanings of individuals or groups. It is often used in social sciences, psychology, and anthropology.
2. There are different types of qualitative research methods, including ethnography, phenomenology, grounded theory, and case study. Ethnography involves observing and interviewing participants in their natural environment, while phenomenology explores the lived experiences of individuals. Grounded theory is used to develop theories from data, and case study examines a single case in-depth.
3. Qualitative research typically involves collecting data through interviews, focus groups, observation, and document analysis. Interviews and focus groups allow researchers to collect rich data about participants’ experiences, perspectives, and beliefs. Observation involves observing participants in their natural environment and taking notes on their behavior and interactions. Document analysis involves analyzing documents such as government reports, newspaper articles, and organizational records.
4. Data analysis in qualitative research involves interpreting the data collected and identifying themes, patterns, and commonalities. This is typically done through coding, where researchers assign codes to segments of data that represent a common concept or theme.
5. The main strength of qualitative research is its ability to provide rich, detailed data about individuals’ experiences, perspectives, and meanings. However, qualitative research can also be time-consuming and resource-intensive. It is important for researchers to carefully consider their research question and choose the appropriate qualitative research method and data collection techniques for their study.

Day 2: 8th January, 2024 – Monday

Topic: Qualitative Data Analysis and Interpretation

1. Qualitative data analysis involves interpreting data that is non-numerical in nature, such as interview transcripts, field notes, and audio recordings. It is an iterative process that involves examining the data for patterns, themes, and relationships.
2. One of the key challenges in qualitative data analysis is managing the large volumes of data collected. It is important to have a clear research question and to develop a data management plan to organize and structure the data for analysis.
3. Qualitative data analysis typically involves coding the data, which involves identifying key concepts and themes and assigning codes to relevant sections of the data. This helps to organize the data and identify patterns and themes.
4. There are different approaches to qualitative data analysis, including thematic analysis, grounded theory, and content analysis. Thematic analysis involves identifying themes in the data, while grounded theory involves developing theories based on the data. Content analysis involves analyzing the content of the data, such as the language used and the topics discussed.
5. Interpretation of qualitative data involves making meaning from the data and drawing conclusions based on the analysis. It is important to consider the context of the data, the perspectives of the participants, and the researcher’s own biases and assumptions in the interpretation of the data. The findings should be presented in a clear and transparent way, and researchers should acknowledge the limitations and potential biases in their analysis.