Degree | Type | Year |
---|---|---|
Psychopedagogy | TFE | 1 |
You can view this information at the end of this document.
It would be convenient if the student had completed most of the modules of the master's degree.
The purpose of the Master's Thesis (TFM) is to carry out research that demonstrates the acquisition of advanced skills in the field of psychopedagogy. This objective will be achieved through the planning, development, and evaluation of an empirical study that includes the collection, treatment, and analysis of real data. This TFM seeks to identify areas for improvement in educational guidance and psycho-pedagogical counseling, providing practical evidence and suggesting evidence-based interventions.
1. Identification and justification of the research problem in the field of psychopedagogy.
2. Theoretical-practical analysis of the psycho-pedagogical context in which the problem is framed from a bio-psycho-social perspective.
3. Planning, development, and evaluation of an empirical study that identifies possible areas of improvement in the field of educational guidance and psycho-pedagogical counseling.
4. Preparation of the research report developed.
5. Presentation and public discussion of the research.
Title | Hours | ECTS | Learning Outcomes |
---|---|---|---|
Type: Directed | |||
Tutoring | 17 | 0.68 | CA25, CA26, KA17, SA33, CA25 |
Workshop | 12 | 0.48 | CA25, CA26, CA27, KA17, SA33, CA25 |
Type: Autonomous | |||
Report | 120 | 4.8 | CA24, CA25, CA26, CA27, KA17, SA31, SA32, SA33, CA24 |
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:
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 |
---|---|---|---|---|
Assessment of the professor | 10% | 0 | 0 | CA25, CA26, KA17 |
Defense of the report | 25% | 1 | 0.04 | CA27, KA17, SA33 |
Report | 50% | 0 | 0 | CA24, CA25, CA26, KA17, SA31, SA32, SA33 |
Self assessment | 5% | 0 | 0 | CA24, CA26, CA27, SA33 |
Tutoring | 10% | 0 | 0 | CA24, CA26, CA27, SA32, SA33 |
Assessment of the dissertation will be carried out via the activities presented in the study plan. The development of the master’s dissertation will be based on the tutorial work.
The candidate and tutor will agree on a schedule of at least three meetings in order to monitor the candidate’s work and progress, in addition to mandatory participation in the methodological seminars of research.
The final grade will be the average score of the planned activities. The candidate will need a minimum of five in all activities carried out during the development of the dissertation to pass.
Delivery date of Report: The first week on July (Tribunal Call-July) and the first week on September (Committee Call-September).
Final TFM defense date: second or third week of July (Tribunal-July call) and first or second week of September (Tribunal-Setembre call).
Single assessment
This subject/module does not provide for a single assessment system.
Aspects to take into account:
The return, review, or grading of submitted work will be completed within a period not exceeding 20 working days.
This course adheres to the professional ethical principles of the discipline.
The use of Artificial Intelligence (AI) technologies is allowed in this course exclusively for support tasks, such as text correction, translations, idea generation, initial content organization, or preliminary conceptual exploration. These tasks may not, under any circumstances, replace the systematic processing of data or the student’s core responsibilities as the author of the work, such as original writing, management and processing of personal data, critical analysis, or discussion of results.
Students must clearly identify which parts of the work have been generated with AI technologies, specify the tool used (including version and specific function), and include a critical reflection on how the use of AI influenced the process and final outcome of the work. This reflection may be included either in an appendix or in the methodology chapter, as appropriate.
Lack of transparency in the use of generative AI tools will be considered academic dishonesty and may lead to partial or total penalties in the TFM grade, as well as more serious sanctions in severe cases, in accordance with institutional regulations.
Additionally, students must demonstrate that the AI tools used comply with appropriate standards for confidentiality, data security, copyright protection, and content reliability, as established by ethical and editorial best practices in research.
Depending on the topic chosen by the student, the reading and analysis of complementary bibliography will be recommended.
Álvarez, C., & San Fabián, J. L. (2012). La elección del estudio de caso en investigación educativa. Gazeta de Antropología, 28(1), articulo 14. http://hdl.handle.net/10481/20644
Arnau-Sabatés, L., & Sala, J. (2020). La revisión de la literatura científica: pautas, procedimientos y criterios de calidad. Dipòsit digital de documents de la UAB. https://ddd.uab.cat/record/222109
Bonet, J. (2018). El Tefegé. SIMReF. http://www.eltefege.eu/index.php/2018/03/11/recepta-1-on-cercar-informacio-i-trobar-la/#more-215
CompRed (2025). Competència de Recerca en Educació (Repositori de recursos). https://webs.uab.cat/compred/repositori/
Hernández-Sampieri, R., & Mendoza, C. (2018). Metodología de la investigación. Las rutas cuantitativa, cualitativa y mixta. McGraw-Hill.
Jorrín, I. M., Fontana, M., & Rubia, B. (2021). Investigar en educación. Síntesis.
Jorrín, I. M., Koz, O., Fontana, M., & Steiner, H. (n.d.). Hopscotch. Create your Research Design. https://hopscotchmodel.com/
Nind, M., Curtin, A., & Hall, K. (2016). Research methods for pedagogy. Bloomsbury.
Pérez, E., Ruiz, P., Sainz, K., Vázquez, L., Vega, M., & Villena, U. (2019). Camino hacia la transformación social: Trabajos Fin de Grado y Trabajos Fin de Máster como herramienta de cambio. Cuaderno de Trabajo. Ingeniería Sin Fronteras País Vasco - Euskal Herriko Mugarik Gabeko Ingeniaritza (ISF-MGI)
Rodríguez, M. L., & Llanes, J. (2015). El trabajo de fin de màster. Edicions Universitat Barcelona.
Sánchez, A.; Olmos, P.; Torrado, M., & Garcia, J. (2015). Trabajos de grado y postgrado. Aljibe.
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.