Guia docente 2024_25
Centro Universitario de la Defensa de la Escuela Naval Militar de Marín
Master Universitario en Dirección TIC para la defensa
 Subjects
  Storage and information management
   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 will be evaluated during the online phase of the course.
10 A9
B1
B5
C16
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. The presentation will be exposed and evaluated during the attendance phase of the course.
30 A6
A7
A8
A9
A10
B1
B5
C16
D4
D5
D6
Objective questions exam Test that assesses knowledge and includes closed questions with different answer alternatives (true or false, multiple choice, pairing of elements, etc.). Students select an answer from a limited number of possibilities. The exam will be carried out during the attendance phase of the course, covering all the subjects of the syllabus.
30 A6
A10
B1
B5
C16
D5
Self-assessment Mechanism in which, through a series of questions or activities (in this case, through a series of objective tests) it is possible for the student to independently evaluate their degree of acquisition of knowledge and skills on the subject, allowing a self-regulation of the personal learning process. Self-assessment will be carried out during the online phase of the course, covering the first three subjects of the syllabus. 30 A6
A10
B1
B5
C16
D5
 
Other comments on the Evaluation

MED_CON represents the average student grade in ordinary call. It will be calculated as:

MED_CON = 0.1 * Forum + 0.3 * Self-assessment + 0.3 * Presentation + 0.3 * Exam

It will be necessary to obtain at least 50% of the grade to pass the subject in ordinary call.

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 Vigo, any 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            | Rectorado | Campus Universitario | C.P. 36.310 Vigo (Pontevedra) | España | Tlf: +34 986 812 000