2020-2021 / METO1018-1

Evidence Based Practice - Research and critical analysis of literature

Presentation of the research topics

Evidence Based Practice

Documentary techniques for physical and rehabilitative activities in motor sciences

Use of a statistical software

Duration

Presentation of the research topics : 15h SEM
Evidence Based Practice : 6h SEM
Documentary techniques for physical and rehabilitative activities in motor sciences : 5h Th
Use of a statistical software : 4h SEM

Number of credits

 Master in motor sciences (120 ECTS)2 crédits 
 Master in motor sciences : physical education (120 ECTS)2 crédits 

Lecturer

Presentation of the research topics : Collégialité
Evidence Based Practice : Olivier Bruyère
Documentary techniques for physical and rehabilitative activities in motor sciences : Nancy Durieux
Use of a statistical software : Anne-Françoise Donneau

Coordinator

Olivier Bruyère

Language(s) of instruction

French language

Organisation and examination

Teaching in the first semester, review in January

Schedule

Schedule online

Units courses prerequisite and corequisite

Prerequisite or corequisite units are presented within each program

Learning unit contents

Evidence Based Practice

The different types of studies
Bias in research
Experimentation methodology
Assessment of the relevance of the literature

Documentary techniques for physical and rehabilitative activities in motor sciences

During their studies, students have many opportunities to become independent in terms of researching, evaluating and using scientific information. This course represents one such opportunity.
The purpose of this theoretical and practical course is to teach students how to search relevant scientific documents/information, using the most appropriate resources available in the library and on the web, developing a critical approach to the available information.
The knowledge and skills acquired on this course will be useful both throughout students' academic studies (for example, to supplement lecture notes or when producing work) and in their professional career (for example, in finding information to justify/support decisions in the context of "evidence-based practice").
The course focuses on the following topics:

  • search tools and methodologies to search information on motor skills, both directed towards the professional practice and/or to scientific research;
  • plagiarism and rules on citing references;
  • information monitoring.

Use of a statistical software

Introduction to the statistical package R - Rcmdr
 

Learning outcomes of the learning unit

Evidence Based Practice

The objective of this course is to provide the student with elements required to critically appraise the scientific data of his future professional activities, and his end of study work.

Documentary techniques for physical and rehabilitative activities in motor sciences

By the end of the course, students will be able to:

  • independently search - materials covered in class and using the most efficient research strategies - relevant scientific documentation and information requiring a "high level of proof ;
  • cite their references when writing a document;
  • monitor their information.

Use of a statistical software

At the end of the course, the student should be able to use the main functions of R

Prerequisite knowledge and skills

Evidence Based Practice

/..

Use of a statistical software

Basic knowledge of computing and biostatistics

Planned learning activities and teaching methods

Evidence Based Practice

6 hours of theory

Documentary techniques for physical and rehabilitative activities in motor sciences

This course is based primarily on a series lectures. However, it is organised in such a way as to encourage students' active participation. Exercises are to be prepared at home. The completion of these exercises requires the use of a computer and the internet (students have access to various rooms equipped with computers and wireless terminals within the University). More information will be provided during the first class.

Use of a statistical software

The course is taught using a PC

Mode of delivery (face to face, distance learning, hybrid learning)

Evidence Based Practice

Face-to-face and/or distance learning

Documentary techniques for physical and rehabilitative activities in motor sciences

Face-to-face (depending on the evolution of the COVID-19 sanitary situation).

Use of a statistical software

Classroom teaching

Organisational adjustments related to the current health context

Written exam following colour codes COVID-19

Documentary techniques for physical and rehabilitative activities in motor sciences

If the sanitary situation requires it, all courses will be offered online. If necessary, exams will also take place online (eCampus).
Students will be informed in due time of any changes in the way the course will be taught and assessed.    

Recommended or required readings

Evidence Based Practice

Lecture notes will be available via myULiège.

Documentary techniques for physical and rehabilitative activities in motor sciences

Course notes and all relevant documents can be found on eCampus.

Use of a statistical software

Slides as well as databases used during the courses will be made available to the students.

Assessment methods and criteria

Below you will find information on the evaluation methods planned for in-person and remote exams as well as those planned for hybrid sessions. Depending on how the health crisis evolves, the chosen method will be communicated to you no later than one month before the start of the exam session.

Evidence Based Practice

Written exam

Documentary techniques for physical and rehabilitative activities in motor sciences

Any session :

- In-person

written exam ( multiple-choice questionnaire )

- Remote

written exam ( multiple-choice questionnaire )

- If evaluation in "hybrid"

preferred remote


Additional information:

Course assessment (written exam) will take place according to the Faculty calendar. The assessment will evaluate the knowledge and skills learnt on the course (see Learning outcomes). In order to undertake the assessment, students will need to show their ULiège student card. More information will be provided during the first class.

Use of a statistical software

None

Work placement(s)

Evidence Based Practice

/..

Organizational remarks

Evidence Based Practice

For the examination procedures, please refer to the official rules available on the University website.

Use of a statistical software

Students will have to bring their PC with the R-Rcmdr software duly installed

Contacts

Evidence Based Practice

Please, use only your ULiege email address (XXX@student.uliege.be) for any exchange of mails and specify in the subject line of your email the course code (METO1018-1) and your section (Motricity Sciences or Physiotherapy and Readaptation).
Professor Olivier Bruyère Department of Public Health, Epidemiology, and Health Economics CHU Sart Tilman, Bât.B23 4000 Liège Tel. : +32 (0)4 366 25 81 Fax : +32 (0)4 366 28 12 Email : olivier.bruyere@uliege.be

Documentary techniques for physical and rehabilitative activities in motor sciences

Nancy Durieux
ULiège Library - Secteur des Sciences de la Santé Bât. B34 - CHU Quartier Hôpital Avenue de l'Hôpital 11 4000 LIEGE
E-mail: Nancy.Durieux@uliege.be
Please, use only your ULiege address (XXX@student.uliege.be) for any emails and specify the title of the course (METO1018 D-a) in the subject line of your email.

Use of a statistical software

* Anne-Françoise DONNEAU (Chargée de cours), Quartier Hôpital, Avenue Hippocrate, 13 - Bât 23, 4000 Liège - Belgique. Tél: 04-366.47.90 Email: afdonneau@uliege.be

* Assistante : Nadia DARDENNE, Quartier Hôpital, Avenue Hippocrate, 13 - Bât 23, 4000 Liège - Belgique - Tél: 04-366.33.40 - Email:ndardenne@uliege.be