The Master's Thesis will be a work of inquiry and/or empirical research, conceived as a self-training activity, which demonstrates the acquisition of advanced skills in the field of psychopedagogy and allows the identification of areas for improvement in educational guidance and psychopedagogical counseling. This work will be carried out individually.

The first step will consist of choosing the research topic and assigning the teaching staff who will supervise and tutor the TFM. In the first semester, students must indicate their preferences. The coordination of the TFM, taking into account the demands of the students and the experience of the teaching staff, will carry out the assignment. During December, students will contact the assigned tutor to agree on the details of the topic and establish the work process.

The training activity will be developed based on the following dynamics:

• Active participation in the methodological seminars of research (October, 29th; November, 25th; January, the 12th, 13th, and 14th -Research Week) to facilitate the design and preparation of the TFM
• Specialized face-to-face, collective, and/or individual tutorials for guidance and support with the TFM
• Personal study of individual depth with the chosen topic
• Bibliographic inquiry. Reading and critical analysis of the bibliography linked to the topic
• Empirical inquiry
• Written presentation and public discussion of the work carried out before a Committee.

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.

Continuous Assessment

The assessment of the Master’s Final Project (TFM) is based on the monitoring of the development process of the work, the final dissertation, and the oral defence before the examination panel, in accordance with tutorial support and research methodology seminars.

The development of the TFM is based on the student’s independent work with the guidance of the academic supervisor, including a minimum of 3 mandatory follow-up tutorials, in which methodological aspects, the structure of the work, and the monitoring of the research process will be addressed. Participation in the methodological seminars is compulsory.

The final grade will be the weighted average of the planned assessment activities. To apply this criterion, a minimum grade of 5 must be obtained in all activities, both those carried out during the development of the module and in the final dissertation/work.

Students will be considered “Not assessable” if they have not submitted evidence representing at least 33% of the total TFM assessment.

Submission date: first week of July (July examination board session) and first week of September (September examination board session).

TFM defence date: second or third fortnight of July (July examination board session) and first or second week of September (September examination board session).

Single assessment

This subject/module does not provide for a single assessment system.

Important considerations:

• The grades for each assessment item will be published on the Virtual Campus within a maximum of 20 working days after assessment. A review period will be guaranteed within 10 days following publication.
• This subject is based on the deontological principles of the profession.
• In accordance with UAB regulations, plagiarism or copying of a whole or part of a work will result in a grade of 0 for that assessment item, with no right to resit.
• Particular emphasis will be placed on linguistic quality, discursive coherence, and academic communication skills both in the written dissertation and in the oral defence. The panel may penalise serious deficiencies in writing or expression.
• In this subject, the use of Artificial Intelligence (AI) technologies is permitted exclusively as support tools, such as text proofreading, translation, idea generation, initial content organisation, or preliminary conceptual exploration. These activities may not, under any circumstances, replace the systematisation or standard handling of data, nor the student’s main responsibilities as author of the work, such as original writing, management and processing of own data, critical analysis, or discussion of results.
• The student must clearly identify which parts of the work have been generated using AI technologies, specify the tool used (including version and specific function), and include a critical reflection on how the use of AI has influenced the process and the final outcome of the work. This reflection may be included in the appendix or the methodological chapter, as appropriate.
• Failure to ensure transparency in the use of generative AI tools will be considered academic misconduct and may result in a partial or total penalty on the TFM grade, as well as more severe sanctions in serious cases, in accordance with institutional regulations.
• In addition, the student must demonstrate that the AI tools used comply with appropriate standards of confidentiality, data security, copyright protection, and content reliability, as established by editorial best practices and research ethics.