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Class Research Methodologies

  • Presentation

    Presentation

    1. Analyse the fundamentals and master the basic concepts of research through methods such as lectures, discussion forums, group work and text analysis. 2. Develop research, construction and writing skills for academic and scientific work, through methods such as lectures, flipped classrooms, discussion forums, problem solving, case studies and practical work. 3. Learn about and apply different data collection methods. 4. Understand and deepen knowledge of the main methods of qualitative data analysis, in particular thematic analysis and narrative analysis. 5. Critically reflect on ethical and practical issues in research. 5.1. Reflect in particular on ethical issues in the era of generative AI.
  • Code

    Code

    ULP6062-7351
  • Syllabus

    Syllabus

    Programme content 1. Science and scientific knowledge, characteristics of scientific knowledge 2. Scientific research 3. From theory to empirical research 4. Guidance for the research process 5. Qualitative approaches - Case study -Ethnography - Netnography: online ethnography - Online narrative 6. Data collection strategies - Traditional methods: interviews, focus groups, diaries, participant observation, questionnaires - Contemporary methods: virtual interviews, social networks, multimedia and Generative Artificial Intelligence (GenAI) tools. 7. Data analysis methods -Thematic analysis -Discourse analysis -Narrative analysis 8. Ethics in academic and scientific research
  • Objectives

    Objectives

    1. Analyse the fundamentals and master the basic concepts of research through methods such as lectures, discussion forums, group work and text analysis. 2. Develop research, construction and writing skills for academic and scientific work, through methods such as lectures, flipped classrooms, discussion forums, problem solving, case studies and practical work. 3. Learn about and apply different data collection methods. 4. Understand and deepen knowledge of the main methods of qualitative data analysis, in particular thematic analysis and narrative analysis. 5. Critically reflect on ethical and practical issues in research. 5.1. Reflect in particular on ethical issues in the era of generative AI.
  • Teaching methodologies

    Teaching methodologies

    This course focuses on teaching and learning methodologies and strategies centred on: 1. Collaborative research work on topics from the course programme; 2. Collaborative critical analysis of case studies; 3. Presentations on the results of collaborative work; 4. Shared reflections on the class's online bulletin boards 5. Debates/discussions.
  • References

    References

    Bolin, G., & Velkova, J. (2020). Audience-metric continuity? Approaching the meaning of measurement in the digital everyday. Media, Culture & Society, 42(7-8), 1193-1209. https://doi.org/10.1177/0163443720907017 Jensen, K.B. (Ed.). (2020). A Handbook of Media and Communication Research: Qualitative and Quantitative Methodologies (3rd ed.). Routledge. Linaa Jensen, J. & Sørensen, A. S. (2013). Analyzing online social networks from a user perspective: A quantitative- qualitative framework. In Patriarche, G., landzic, H., Linaa Jensen, J., & Jurisic, J. (Eds.). Audience Research Methodologies:Between Innovation and Consolidation, pp. 144-159, London & New York: Routledge. Macagno, F. & Rapanta, C. (2021). Escrita científica. Argumentação. Lógica da escrita. Ideias e Estilo. Artigo e Papers. Lindel. Yildiz, M. N., Fazal, M., Ahn, M., Feirsen, R., & Ozdemir, S. (Eds.). (2019). Handbook of Research on Media Literacy Research and Applications Across Disciplines. IGI Global.
  • Assessment

    Assessment

    Avaliação

    1.Resolução de todas tarefas obrigatórias: 25%

    2. Projeto de Grupo - Sinergias UC-Curso: Construindo Projetos de MIL na Era da IA - Trabalho a ser feito em articulação com as outras

    UCs, sendo que nesta será tida em consideração para avaliação a capacidade para os estudantes convocarem as matérias ligadas à

    Metodologia de investigação: 25%.

    3.Trabalho colaborativo de elaboração de trabalho académico / científico e apresentação oral: 25%. Neste item o professor disponibiliza as

    orientações para a elaboração do trabalho e dará feedback da parte escrita e da parte oral.

    4.Revisão de pares dos trabalhos finais: 25% Neste item o estudante deve analisar criticamente um trabalho submetido por outro

    estudante, com base numa ficha de critérios previamente definidos. Após a conclusão da revisão de pares, os estudantes terão acesso aos

    comentários sobre o seu trabalho final.

     

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