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Presentation
Presentation
According to decree 74/2006, a Master in Science should present knowledge and skills to allow the development of an original research. In addition, a MSc should be able to integrate this knowledge and communicate it effectively to all audiences. This UC seeks the development of the research methods and skills to support attaining the above-mentioned points. In summary, methods and skills of literature search and review, research protocol and data analysis are worked in this UC.
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Class from course
Class from course
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Degree | Semesters | ECTS
Degree | Semesters | ECTS
Master Degree | Semestral | 7
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Year | Nature | Language
Year | Nature | Language
1 | Mandatory | Português
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Code
Code
ULHT792-1-10894
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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
Epistemological aspects. The step-by-step of a scientific project: The development of the interest and topic The literature review - a. the online databases; b. standards of bibliographic references (APA); c. how to organize the literature review The method - a. Study design; b. Choosing the measures and procedures Data analysis and writing the results - a. What does an association mean; b. Biostatistics Artificial intelligence in scientific research - (a) uses of AI (including generative AI) in literature search, analysis, and writing; (b) limitations, biases, and source verification; (c) academic integrity, transparency, and the institutional rules on the use of generative AI (Lusófona/HEIs).
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Objectives
Objectives
Develop the capacity for systematic analysis of scientific publications and critical reflection on them. Know the bibliographic research methods available in databases (e.g., Pubmed, SportDiscus). Develop techniques for reading articles (reading sheets) and presentation of articles. Develop skills and autonomy in the development of scientific projects. Know the elements of a project and its components. Develop skills in the preparation of a pre-project. To know and develop quantitative data analysis capabilities. Develop skills, from the user's point of view, the JASP software. Master the definition of statistical procedures in different analysis scenarios. Critically and ethically understand and apply artificial intelligence tools in the scientific research process - in literature search and review, data analysis, and scientific writing - recognising limitations, risks, and the principles of transparency, verification, and integrity.
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Teaching methodologies
Teaching methodologies
This course is related to the 2nd-semester TMIC course, as students develop a group pre-project in MTI that is then individualized and deepened in TMIC. Furthermore, students have the opportunity to present and submit their proposals twice, for formative evaluation by the professors. This creates a dynamic in the teaching-learning process where mistakes are seen as opportunities for improvement. Lastly, all work proposals are integrated into CIDEFES research lines, promoting a deeper integration between the work developed in the master's program and FEFD research. In addition, the UC explicitly integrates reflection on and practice of the use of artificial intelligence in scientific research. Students explore AI tools in specific tasks (e.g., support for literature search and writing), always under the principles of transparency, verification, and integrity set out in the UC's generative-AI rules, linking this competence to CIDEFES research lines.
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References
References
American Psychological Association. (2020). Publication Manual of the American Psychological Association (7ª ed.). APA. Thomas, J. R., Martin, P. E., Etnier, J. L., & Silverman, S. J. (2022). Research Methods in Physical Activity (8ª ed.). Human Kinetics.
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Assessment
Assessment
Grupo (40%):
- 3ª aula - Apresentação oral da Introdução e Método de um artigo (5 min); artigo disponibilizado no próprio dia.
- 5ª aula - Apresentação do pré-projecto de estudo (10 min).
- 6ª aula (entrega online) - 1ª versão do pré-projecto (Introdução: 3000 caracteres; Objectivo: 1000 caracteres; 5-10 referências bibliográficas sobre o tema).
- 8ª aula - Apresentação final do pré-projecto de estudo (10 min).
- 10ª aula (entrega online) - Versão final do pré-projecto (Introdução: 5000 caracteres; Objectivo: 1000 caracteres; Método: 5000; Referências Bibliográficas).
Individual (60%):
- 5ª aula (a confirmar) - Ficha de avaliação sobre análise e leitura de resultados (35%).
- 10ª aula - Ficha de avaliação sobre a Introdução, Objectivo/hipóteses e Método (25%).
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Mobility
Mobility
No
