Degree | Type | Year |
---|---|---|
Psychology | OT | 4 |
You can view this information at the end of this document.
There is no prerequisite specifically established for this subject.
The training objectives of this subject are the following:
To conceptually define what Health Education is within the Health Psychology.
To understand the concepts of health and disease from a biopsychosocial perspective.
To analyse the psychological determinants that influence risk behaviors.
To know the applications of Health Education both at the individual and community level.
To learn how to develop a psychosocial diagnosis of health problems.
To know the main planning and intervention models in Health Education and how to apply them.
To learn how to analyse and design distinc health education programmes.
1) What is Health Education?
1.1.- Definition of Health and Health Education.
1.2.- Objectives of Health Education.
1.3.- Importance of Health Education.
1.4.- Areas of action.
2) Which variables influence health-risk behaviors?
2.1.- Variables moduleting risk behaviors or promoting health.
3) How can change be promote?
3.1.- Strategies for change in Health Education.
Title | Hours | ECTS | Learning Outcomes |
---|---|---|---|
Type: Directed | |||
Master classes in group | 24 | 0.96 | |
Seminars | 12 | 0.48 | 2, 4, 3, 6 |
Type: Supervised | |||
Support to the realization of works and solution of doubts | 24 | 0.96 | 5, 4, 3, 6 |
Type: Autonomous | |||
Realization and preparation of works | 49 | 1.96 | 5, 6 |
Study and reading of texts | 39 | 1.56 |
Annotation: Within the schedule set by the centre or degree programme, 15 minutes of one class will be reserved for students to evaluate their lecturers and their courses or modules through questionnaires.
Title | Weighting | Hours | ECTS | Learning Outcomes |
---|---|---|---|---|
Evidence 1 individual written test | 40 | 2 | 0.08 | 1, 6 |
Evidence 2 Reading and commenting on a book | 10 | 0 | 0 | 5, 6, 7 |
Evidence 3 work report of practices (collective) | 25 | 0 | 0 | 1, 2, 5, 4, 3, 6, 7 |
Evidence 4 oral presentation work (collective) | 25 | 0 | 0 | 1, 2, 5, 4, 6 |
Competences for this subject will be assessed through four learning evidences.
Students who have submitted learning evidences with a weighting equal to or greater than 4 (40%) cannot be indicated as "non-evaluable".
Students will be deemed to have passed the subject if, in the group of the four evidences submitted, they obtainfa grade equal to o greater than 4.85, and if in evidence 1 they have obtained a grade of at least 4 on 10.
Students may opt for re-assesment if (1) they have previously been assessed for a set of activities the weighting of which is equivalent to a minimum of 2/3 of the total subject grade, and (2) they has not fulfilled the two established criteria established to pass the subject. In case of not meeting these requirements the maximum grade to consign in the academic transcript will be 4.5 points.
Evidence 1 can be re-assessed. When calculating the final overal grade for the subject, grade obtained in re-assessing Ev1 will replaced that originally obtained for this evidence.This subject does not provide for the single assessment.
No unique final synthesis test for students who enrole for the second time or more is anticipated.
Link to the assessment guidelines: https://www.uab.cat/web/estudiar/graus/graus/avaluacions-1345722525858.html
The translation of the in-person assessment tests will be provided if the requirements established in Article 263 are met and the request is submitted online (via e-form) during week 4 (more information on the faculty website).
EV1 |
Individual written test |
40% |
written |
individual |
First assessment period S7 |
EV2 |
Reading and commenting on a book |
10% |
written |
individual |
First assessment period S9 |
EV4 |
Oral presentation work |
25% |
oral |
collective |
Approx.Weeks 10-15 |
EV3 |
Work report of practices |
25% |
written |
collective |
Approx. Week 16 |
Feedback
TYPE OF FEEDBACK |
EV AND TYPE |
WEEK |
Written |
EV 2: Book reflection EV 4: Written Assignment |
W9 W19 |
Digital tool |
||
In class |
EV 3: Workshops |
W10-15 |
Tutorial |
EV1: Written Test |
W7 |
In this course, the use of Artificial Intelligence (AI) technologies is allowed as an integral part of the development of the work, provided that the final result reflects a significant contribution from the student in terms of analysis and personal reflection. If this significant contribution from the student is not present, it may result in a penalty in the activity's grade.
Complementary bibliography
- Miller, William.R. i Rollnink, Stephen. (2015). La entrevista motivacional. Barcelona: Paidos.
Not applicable
Please note that this information is provisional until 30 November 2025. You can check it through this link. To consult the language you will need to enter the CODE of the subject.
Name | Group | Language | Semester | Turn |
---|---|---|---|---|
(SEM) Seminars | 111 | Catalan | second semester | morning-mixed |
(SEM) Seminars | 112 | Catalan | second semester | morning-mixed |
(TE) Theory | 1 | Catalan | second semester | morning-mixed |