Learning outcomes
This curricular unit comprises three multidisciplinary and integrated modules that equip students with both theoretical and practical foundations in research methodology for sport and movement sciences, with a focus on qualitative and quantitative approaches. It encompasses the understanding of research design, statistical analysis, and ethical considerations, along with the integration of humanistic, epidemiological, and biomedical perspectives relevant to health and preventive physical activity.
Academic knowledge (bachelor level) of descriptive statistics, basic philosophy and ethics of science, basic ICT technology and tools.
Knowledge and understanding
Upon course completion, students will have:
Competencies
By the end of the course, students will be able to:
Professional competencies:
Theoretical and Academic competencies:
Modules
Content of the course
Additional tools
Teaching and Learning Methodology
The course, entirely in English, is designed to foster the development of autonomous learning skills, a central objective of the program. It is structured as an Intensive course with a condensed blended, in-campus teaching period of 3,5 weeks, which includes lectures, seminars, practical sessions, and student-led presentations, and condensed e-learning, distance tutoring, and individual study of 3,5 weeks, including examination.
Traditional face-to-face instruction is supported by online resources available through the Foro Italico University e-learning platform. These materials—such as selected readings, educational videos, and external references—are not intended to replace classroom teaching, but rather to serve as essential components of the learning process. They are used to:
In addition, formative assessment is embedded throughout the course. Activities such as in-class discussions, low-stakes group work, and interactive tools (e.g., clicker questions) are employed to provide ongoing feedback, support understanding, and promote the progressive development of subject-specific skills. A compulsory formative assessment in advanced statistics is performed at the end of the first module.
The study program allows the responsible use of artificial intelligence tools: their use for language editing is permitted, while generative use is prohibited. The University’s Code of Conduct and Academic Integrity regulations apply.
Learning assessment method
The assessment occurs at the end of the curricular unit (7 weeks), and it is meant to reflect the student’s mastery of the unit content and her/his capability to integrate and apply various knowledge.
The assessment method includes:
The test verifies the knowledge acquired by the student with respect the whole module content throughout the lecture’s attendance and the individual study.
The essay refers to a 3-5 pages (1.500 – 1.800 words) manuscript. It must represent in an individual and original way the critical thinking of the student with respect to the assigned topic, demonstrating also the student’s capability to integrate and apply various knowledge. A template for the development of the research proposal is available in the Moodle Learning Platform. Available time: 40hrs (oral defence?)
For both Test and Essay, the program makes use of the online instruments available in the “Foro Italico” Moodle Learning Platform.
18 out of 30 points is the minimum threshold for both test and essay. The final mark will result from the following formula:
[(Essay’s points x 2.2) + Test’s points]/3
Study Material
Study material (mainly PDF files of the literature and monography) and virtual rooms for discussions between students and students and staff, is made available on the e-learn platform of Foro Italico University.
Credits
The programme adopts the European Credit Transfer System (ECTS) for the teaching units, with 1 ECTS = 25 hr student workload. As a rule, 1 contact hr will be held to correspond to ~3 hr of student’s individual work, accounting for intensity of teaching, amount of study materials, essays to write, exams, etc. For the evaluation of academic progress, the ECTS grading scale will be adopted within the consortium.
Student’s work loads (Total 375 hours)
*delivered during the three previous courses
Multidisciplinary components