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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.
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Class from course
Class from course
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Degree | Semesters | ECTS
Degree | Semesters | ECTS
Master Degree | Semestral | 7.5
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Year | Nature | Language
Year | Nature | Language
1 | Mandatory | Português
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Code
Code
ULP6062-7351
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Prerequisites and corequisites
Prerequisites and corequisites
Not applicable
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Professional Internship
Professional Internship
Não
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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
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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.
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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.
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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.
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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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Mobility
Mobility
No





