Guia docente 2024_25
Centro Universitario da Defensa da Escola Naval Militar de Marín
Master Universitario en Dirección TIC para la defensa
 Subjects
  Services and software applications
   Assessment
  Description Qualification Training and Learning Results
Discussion Forum Activity carried out in a virtual environment where a variety of current issues related to the academic and / or professional field are debated. It allows evaluating the skills, knowledge and, to a lesser extent, the attitudes of the student. Participation in the forums (F) carried out during the distance phase will be evaluated. 10 A6
A7
A8
A9
A10
B1
B2
C17
D4
D5
Self-assessment A mechanism in which, by means of a series of questions or activities, it is possible for the student to autonomously evaluate his/her degree of acquisition of knowledge and skills on the subject, allowing self-regulation of the personal learning process. To be assessed (AV) during the distance phase. 30 A7
B1
B2
C17
Objective questions exam A test that assesses knowledge and includes closed questions with different answer alternatives (true or false, multiple choice, item matching, etc.). Students select an answer from a limited number of possibilities. This test (EO) will take place during the face-to-face phase. 25 A6
A8
A9
A10
B1
B2
B3
C17
D4
D5
Presentation Presentation by the students, individually or in groups, of a topic related to the contents of the course or the results of a work, exercise, project, etc. Through the presentation, knowledge, skills and attitudes can be evaluated. Esta actividad de presentación (P) se realizará en la fase a distancia. 20 A6
A7
A8
A9
A10
B1
D4
D5
Essay questions exam Test (EP) that assesses knowledge and includes open-ended essay questions about the practices carried out during the face-to-face phase. 15 A6
A7
A8
A9
A10
B1
B2
B3
C17
D4
D5
 
Other comments on the Evaluation

We call the average continuous assessment mark MED_CON, which is calculated as:

MED_CON = 0.1 * F+ 0.3 * AV + 0.25 * EO + 0.2 * P + 0.15 * EP

A minimum mark of 50% is required to pass the course.

In the event that the student fails to pass the subject in the ordinary call, they will have the right to a second evaluation opportunity (extraordinary call) on the dates established for this purpose by the Master's Academic Committee. The evaluation of the extraordinary call will be carried out remotely, through the evaluation of a deliverable/presentation that will account for 60% of the grade and the completion of a written test (with written questions and / or multiple choice) using the e-learning platform, which will mean the remaining 40%. It will be necessary to obtain at least 50% of the grade to pass the course.

ACADEMIC INTEGRITY: 

Students are expected to show adequate ethical behaviour, committing to act honestly. Based on article 42.1 of the Regulation on the evaluation, qualification and quality of teaching and the student learning process of the University of Vigoany violation of academic integrity in the assessment process, as well as the cooperation in it will result in the assignment of a failing grade to the student (zero) for the entire course in the corresponding assessment opportunity, regardless of the percentage of importance that the test in question had in the overall continuous assessment, and independently of other disciplinary actions that may be applied.

In the academic activities and assignments of this course, the use of Generative Artificial Intelligence (GAI) tools is allowed, used in an ethical, critical and responsible manner. In case you have used GAI, you should critically evaluate any results it provides, carefully verify any citations or references generated, and declare the use of these tools. It is not necessary to disclosure the use of GAI in tasks that do not produce content (proofreading language   - spelling or grammar - in a document, translating text, obtaining suggestions to reorganize content or modify the style of a document, or to adapt the format of bibliographic references). AI-generated content (text, images, etc.) must be disclosured and correctly referenced, providing, at least, the following elements: generated content, prompt used in the query, tool used, version, company authoring the software, date on which the query was made and the link to the tool's website. The detection of situations involving non-disclosure of GAI will be considered academic fraud and the measures described in the previous paragraph will be applied.

In the case of any difference between the Galician/Spanish/English guides related to the evaluation, the Spanish guide will always prevail.

Universidade de Vigo            | Reitoría | Campus Universitario | C.P. 36.310 Vigo (Pontevedra) | España | Tlf: +34 986 812 000