Assessment

Continous Assessment Activities

Title	Weighting	Hours	ECTS	Learning Outcomes
Ev1: Final individual project (design and methodology)	50%	0	0	CA10, CA11, KA11, KA12, KA13, KA14, SA08
Ev2: Group assignment	30%	0	0	KA12, KA13, SA08, SA09
Ev3: Integration of the learning of the course into the Master's Thesis	20%	0	0	CA10, CA11, KA11, KA12, KA13, KA14, SA08

This course is assessed based on three pieces of evidence:

Ev1. Final Project (50% of the grade): Individual final project where the design and methodology of the Master's Final Project will be outlined. In the case of the psychosocial intervention pathway, this research will be directed towards intervention, either in the form of diagnosis or needs analysis, or PAR (Participatory Action Research). This final project will be the same as that submitted in any of the other two optional subjects (A3a: “Discursive Perspectives for Psychosocial Research and Intervention” or A3c: “Group and Community Perspectives for Psychosocial Research and Intervention”). That is, the same work will be assessed from two coursess based on each of the corresponding rubrics and will, therefore, have two grades: one for each subject from which it is assessed.

Ev2. Group assignment (30% of the grade): Group exercise on the application of the techniques worked on in the subject. This exercise will take the form of a public presentation in class, on the date previously indicated by the teacher.

Ev3. Integration of the learning of the course into the Master's Thesis (20% of the grade): Monitoring of the final project of the subject with the tutor teacher and achievement of the learning outcomes of the subject. It includes the planning of the final project, the review of the draft, and the review of the final version (in all cases provided that it is submitted at least ten days before the delivery date marked on Moodle).

SINGLE ASSESSMENT
The single assessment will be presented on the same day as the individual final project of the course. The contents will be assessed under similar conditions of format and authorship (individual or collective), through the submission and/or presentation of evidence Ev1 and Ev2.

GRADING
Passed subject: It will be considered passed if the student obtains an average grade of 5 or higher in all assessment tests.
Assessable: It will be considered assessable if the student has submitted learning evidence with a weight equal to or greater than 40% of the total course.
Not assessable: It will be considered not assessable if the weight of the evidence submitted is less than 40% of the total course.

Reassessment: There is no reassessment for this course.

Faculty of Psychology Assessment Guidelines: https://www.uab.cat/web/estudiar/graus/graus/avaluacions-1345722525858.html.

FEEDBACK

In accordance with current regulations, the feedback of the evidences will be made within 3 weeks of the delivery date with the modality indicated in the following table.

	Return Type
Ev1	Written
Ev2	In the classroom/ Written
Ev3	Tutoring sessions

USE OF ARTIFICIAL INTELLIGENCE
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 interms of analysis and personal reflection. The student must clearly identify which parts have been generated or reviewed using AI technology, specify the tools used, and include a critical reflection on how these tools have influenced the process and final outcome of the activity. Lack of transparency in the use of AI, failure to verify the accuracy of AI-generated content, citation of non-existent bibliographic references, or the use of AI-generated data will be considered academic dishonesty and will result in a grade penalty or more serious sanctions in severe cases.