IMPORTANT: Being an international conference on Qualitative Research, abstracts should have a focus on methodology. This approach should analyze the relationship between research questions, theories, and results and the methodology used. The conclusions should reflect the importance of the methodology based on the results of the work and the literature already published on the subject. Articles that do not meet this criterion will be returned for correction or rejected.
Application Fields
Proposals can be submitted whose Fields of Application cover the following areas:
- Qualitative Research in Health (emphasis on the processes of research in the fields of Medicine, Nursing, Geriatrics, Gerontology, Psychology, etc.).
- Qualitative Research in Education (emphasis on the processes of research in various areas of Higher Education, Basic Education, Assessment, Curriculum, Teaching, Teaching Science, Languages, History, Technology, etc.).
- Qualitative Research in Social Science (emphasis on the processes of research in the fields of Administration, Anthropology, Arts, Political Science, Communication, Economics, Management, Humanities, Linguistics, Marketing, Psychology, Sociology, etc.).
- Qualitative Research in Engineering and Technology (emphasis on the research processes in the areas of Computer Science, Information Systems, Electrical Engineering, Software Engineering and Engineering Education).
- Qualitative Research in Business (emphasis on the processes of research in the fields of Administration, Economics, Human Resources, Management, Marketing, etc.)
Topics
- Research Foundations and Paradigms of Qualitative Research
The focus is on conducting theoretical studies and critical reflections that delve into the epistemological dimensions, ontological aspects, and axiological elements of qualitative research. These investigations are crucial for understanding the foundational theories and values that shape various fields of study. Additionally, there is an emphasis on exploring emerging paradigms in qualitative research, which involves investigating new methodologies and theoretical frameworks. This exploration aims to broaden the scope and depth of qualitative research, allowing for a more comprehensive understanding of complex subjects.
- Approaches and Methodologies in Qualitative Studies
Qualitative studies see a systematic organisation of approaches, including conducting comprehensive literature reviews and integrating various research findings. There is an increasing focus on aggregation studies, meta-analysis, and the meta-analysis of qualitative meta-synthesis. Meta-ethnography is also gaining attention, especially with its evolving methodologies. Furthermore, there is a significant emphasis on Qualitative and Mixed Methods Research. This encompasses research processes primarily focusing on qualitative approaches while leveraging mixed methodologies. Emerging mixed-method research trends also indicate this area’s dynamic and evolving landscape.
- Qualitative Research in Digital and Web Contexts
This area focuses on the role and impact of qualitative research within the web context. It explores eResearch and its influence on qualitative research methodologies. The area also delves into virtual ethnography and interaction analysis in online environments, highlighting the study of latent corpora internet and the evolution of web-based research methods. Additionally, it discusses the qualitative analysis facilitated by specific software, evaluating the usability of such software in qualitative analysis. It investigates how software affects the user experience and the overall quality of research and analysis, also exploring the latest software tools available for qualitative research.
- Data Analysis Approaches, Processes and Techniques
This area focuses on various types of data analysis and their in-depth exploration. It covers a range of methods, such as content analysis, discourse analysis, thematic analysis, and narrative analysis, among others. It also highlights innovative applications and evolving techniques within data analysis. Furthermore, it delves into the creative processes of qualitative data analysis, exploring cutting-edge approaches like design analysis, articulation, and the triangulation of diverse data sources, which include images, audio, and video. Lastly, it discusses advancements in data analysis methodologies, indicating a continual evolution and enhancement in this field.
- AI-driven technologies in Qualitative Research and Data Analysis
The study of integrating artificial intelligence (AI) and machine learning in qualitative research focuses on using advanced technologies for data analysis. This field examines applying tools like automated text analysis, sentiment analysis, and natural language processing (NLP) to improve qualitative data analysis. It investigates how AI can make data analysis more efficient and accurate and how it can be applied in practices like data codification, thematic analysis, and summarising content. This field also addresses AI’s role in enhancing data reliability and reducing biases, its potential for saving time and costs and increasing the value of research insights. Ethical considerations in using AI, such as maintaining research integrity and transparency, are also key aspects of this field. Overall, incorporating AI into qualitative research reshapes how data is analysed and utilised, marking a significant development in research methodologies.