Degree | Type | Year |
---|---|---|
Social Education | OB | 2 |
Education Studies | OB | 2 |
You can view this information at the end of this document.
There are no specific requirments.
The purpose of this subject is to give a basic and applied vision of educational research’s approaches and processes and also about the collection, treatment, analysis and interpretation of the data, using specific software.
In the last years, the need and importance of the research in the area of the Sciences of the Education and Social Sciences has increased. Thus, this subject is of prime importance to configure the professional profile of a pedagogue and social educator due to one of the fundamental functions refers to the capacity to research, evaluate and innovate.
On the other hand, is promoted the capacity to analyze, to teamwork, to use specific software and to interpret the data gathered from socioeducational contexts. Among all, the knowledge that will be provided, will be used in many other subjects that also develop or analyze researches.
The objectives to be achieved, are:
BLOCK A (4 ECTS)
Construction and development of scientific knowledge in education. Research epistemology and methodology:
BLOCK B (8 ECTS)
Techniques and tools of quantitative and qualitative data collection and registration.
Quantitative analysis of socioeducational variables:
Qualitative analysis of socioeducational variables:
Title | Hours | ECTS | Learning Outcomes |
---|---|---|---|
Type: Directed | |||
Large group | 60 | 2.4 | 2, 1, 3, 5, 6 |
Seminars and Laboratory | 30 | 1.2 | 3, 4, 7, 5, 8, 9 |
Type: Supervised | |||
Activities supervised | 60 | 2.4 | 3, 4, 7, 5, 8, 9 |
Type: Autonomous | |||
Activity autonomy | 150 | 6 | 1, 2, 3, 4, 7, 5, 8, 6, 9 |
Teaching in large group: It is done for the entire class group and allows the exhibition of the main contents through an open and active participation by the students in different discussion forums.
Seminars and lab practices: Working spaces with reduced groups supervised by the professor. Through the data analysis, the analysis of documents, case studies and various activities, the students will examine in depth the contents approached in in-class sessions.
Evaluation activities: Activities to verify and grade the achievements through the works and tests.
Autonomous activities: Self-managed activities to acquire competencies through a self-regulated learning.
The recommendations on gender perspective and inclusion will be pursued.
The possibility of organizing a field visit is being considered
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 |
---|---|---|---|---|
Evidence 1. THEORY. Exam Block A (individual) | 15% | 0 | 0 | 1, 2, 3, 7, 5, 8, 6, 9 |
Evidence 2. THEORY. Exam Blocks B1 and B2 (individual) | 35% | 0 | 0 | 2, 1, 3, 4, 7, 5, 8, 6, 9 |
Evidence 3. PRACTICE. Compilation of the practices of Block A and B (group) | 50% | 0 | 0 | 2, 1, 3, 4, 7, 5, 8, 6, 9 |
Continuous assessment. To pass the course, the final grade must be at least 5. The minimum grade to pass each block (A, B.1, and B.2) is 5. In order to calculate the average of the assessment activities within each block, a minimum of 3.5 must be obtained in each of them.
At the end of each block, an evaluative test will be conducted, except for block B2, where two tests will be administered.
Students who have submitted fewer than one third of the assessment evidence will receive a grade of Not Assessable.
The teaching staff sets a deadline of 20 working days for returning, reviewing, or grading the assessment activities.
TENTATIVE DATES OF THE TESTS:
GROUP 1 PEDAGOGY:
Block A: 11/11/25
Block B1 (qualitative): 20/1/26
Block B2 (quantitative): test 1: 17/3/26 // test 2: 2/6/26
GROUP 2 SOCIAL EDUCATION:
Block A: 20/11/25
Block B1 (qualitative): 22/1/26
Block B2 (quantitative): test 1: 19/3/26 // test 2: 4/6/26
Proper submission of the tasks assigned by the professor is an essential requirement in order to be assessed. Students who have followed the course adequately and still have an activity not passed will be given the opportunity to recover it. In block A, only one resubmission will be allowed for the activity related to project formulation. The maximum score achievable for the resubmission will be 5. If the score is below 3.5 or the block average is below 5 points, a group oral exam will be considered to pass the block. Regarding block B activities, no resubmissions will be allowed, but if any piece of evidence scores below 3.5 or the block average is below 5 points, an oral test will be considered to pass the block.
At the end of the course, students with failed exams may opt for recovery. The maximum grade that can be obtained in the failed part is 6. To be eligible, students must have been previously assessed in activities whose combined weight is at least two-thirds of the total course grade. Furthermore, the responsible professor may require a minimum grade of 3.5.
RECOVERY DATES
GROUP PEDAGOGY: 16/6/26
GROUP SOCIAL EDUCATION: 18/6/26
Practical exercises, case studies and problems will be spread throughout the course, scheduled with start and submission dates; these dates will be included in the course syllabus, which will be available on the first day of class.
The teaching team considers class attendance essential and will monitor it.
Students retaking the course may opt for a synthetic assessment (exam dates coincide with those of continuous assessment). In this case, students will only take the exams, which will be more comprehensive than those in the continuous assessment. If the exams are not passed, students will be entitled to take a recovery test.
Single assessment. Students opting for single assessment will submit one written piece of evidence (40%) at the end of the course, covering the content of both blocks (block A and block B – qualitative + quantitative) through case and practical scenario resolution using the corresponding software: Nvivo for the qualitative block, and Jamovi for the quantitative. The demands of the test will be equivalent to those of continuous assessment. This written assignment will be assessed through an oral exam (60%) conducted in person and recorded in front of the teaching staff on the date indicated in the course schedule.
SINGLE ASSESSMENT TEST DATE
Group pedagogy: 2/6/26
Group social education: 4/6/26
Students who have chosen the single assessment method are entitled to recovery, according tothe course schedule, and the same test format will be applied (written evidence + oral defence). The final grade review follows the same procedure as for continuous assessment. Students in the single assessment modality will not submit or receive feedback or grades for the continuous assessment activities carried out during the course.
SINGLE ASSESSMENT RECOVERY DATE:
Group pedagogy: 16/6/26
Group social education: 18/6/26
Grading and feedback of assessment activities will be provided within a maximum of 15 to 20 working days. Students wishing to review their grade must do so within 15 days of publication, during the office hours assigned by the course’s teaching staff and stated in the course syllabus.
Use of Generative Artificial Intelligence (GAI)
In this course, the use of Generative Artificial Intelligence (such as ChatGPT, Copilot, Gemini, among others) is restricted to non-substantive support functions, such as:
• Searching for general bibliography or initial information sources.
• Generating ideas or outlines for organizing one's own work.
• Reviewing formal aspects such as grammar or style, without modifying core content.
The use of GAI is not permitted for:
• Partially or fully drafting the proposed activities and assignments.
• Generating content to be presented as one’s own.
• Replacing the process of personal reflection in assessment activities.
Misuse of GAI—understood as presenting AI-generated content as one’s own—may result in a grade of fail (0) for that assessment evidence.
Copying or plagiarism of material—whether in written assignments, practical exercises, or exams—will result in a final course grade of fail. A work or activity will be considered “plagiarized” when part of a text from an author is presented as one’s own without citing sources, regardless of whether the original sources are in print or digital format. A work, activity or exam will be considered “copied” when it reproduces all or part of another student’s work.
Students must demonstrate behaviour compatible with the teaching profession as a requirement to pass the course. Some key competencies include: active listening, respect, participation, cooperation, empathy, punctuality, non-judgemental attitude, argumentation, appropriate mobile phone use, etc.
Students are also required to show strong general communication skills, both oral and written, and a good command of the language(s) used in the course. In all activities (individual and group), linguistic accuracy, writing and formal presentation will be assessed. Students must be able to express themselves fluently and correctly and demonstrate a high level of comprehension of academic texts. An activity may be returned (not assessed) or failed if the professor considers it does not meet these requirements. Additionally, before submitting any learning evidence, the student must ensure that all sources, notes, quotations and bibliographic references are properly written following APA guidelines.
Metodologia
Albert, M. J. (2007). La investigación educativa. McGraw-Hill.
Alvira, F. (2011). La encuesta: una perspectiva general metodológica. CIS.
American Psychological Association (APA) (2019). Concise guide to APA style (7a ed.). APA.
Arnal, J., del Rincón, D., & Latorre, A. (1992). Investigación educativa: fundamentos y metodología. Labor.
Arnau-Sabatés, L., & Sala, J. (2020). La revisión de la literatura científica: pautas, procedimientos y criterios de calidad. DDD. Disponible a: https://ddd.uab.cat/record/222109
Arnau-Sabatés, L., & Roca-Sala, J. (2023). La construcción de un redactado científico: normas de estilo, pasos a seguir y checklist de autocorrección. https://ddd.uab.cat/record/274378
Ballestín, B., & Fàbregues, B. (2018). La práctica de la investigación cualitativa en ciencias sociales y de la educación. UOC.
Bisquerra, R. (Coord.) (2004). Metodología de la investigación educativa. La Muralla.
Bryman, A. (2016). Social research methods (6a ed.). OUP.
Celigueta, G., & Solé, J. (2014). Etnografía para educadores. UOC.
Corbetta, P. (2007). Metodología y técnicas de investigación social. McGraw-Hill.
Creswell, J. W., & Creswell, J. D. (2022). Research design: Qualitative, quantitative, and mixed methods approaches (6th ed.). SAGE.
Creswell, J. W., & Guetterman, T. C. (2024). Educational research: Planning, conducting, and evaluating quantitative and qualitative research. Pearson.
Del Rincón, D., Arnal, J., Latorre, A., & Sans, A. (1995). Técnicas de investigación en ciencias sociales. Dykinson.
Fàbregues, S., Meneses, J., Rodríguez-Gómez, D., & Paré, M. H. (2016). Técnicas de investigación social y educativa. UOC. https://t.ly/3x8q
García Ferrando, M., & Escobar, M. (2017). Socioestadística. Introducción a la estadística en sociología (2a ed.). Alianza.
Hatch, J. A. (2023). Doing qualitative research in education settings (2nd ed.). Bloomsbury.
Hernández-Sampieri, R., & Mendoza, C. (2018). Metodología de la Investigación. Las rutas cuantitativa, cualitativa y mixta. McGraw-Hill.
Jariot, M., Merino, R., & Sala, J. (Coord.) (2010). Les pràctiques d'educació social. Eines per al seu desenvolupament. Servei de publicacions UAB.
Jhangiani, R. S., Chiang, I. A., Cuttler, C., & Leighton, D. C. (2019). Research Methods in Psychology (4a ed.). KPU Open Education. Disponible a: https://kpu.pressbooks.pub/psychmethods4e/
León, O., & Montero, I. (2015). Métodos de investigación en psicología y educación: las tradiciones cuantitativa y cualitativa (4a ed.). McGraw-Hill.
López-Roldán, P., & Fachelli, S. (2015). Metodología de la investigación social cuantitativa. https://ddd.uab.cat/search?f=title&p=Metodolog%C3%ADa%20de%20la%20investigaci%C3%B3n%20social%20cuantitativa&sc=1&ln=ca
McMillan, J. H., & Schumacher, S. (2010). Research in education: evidence-based inquiry (7a ed.). Pearson
Mendia Azkue, I., Luxán, M., Legarreta, M., Guzmán, G., Zirion, I., & Azpiazu Carballo, J. (eds.) (2014). Otras formas de (re)conocer. Reflexiones, herramientas y aplicaciones desde la investigación feminista. Hegoa.
Mertens, D. M. (2015). Research and evaluation in education and psychology: integrating diversity with quantitative, qualitative, and mixed methods (5a ed.). SAGE.
Mertler, C. A. (2024). Introduction to educational research. Sage.
Mertler, C. A. (2024). Action research: Improving schools and empowering educators. Sage
Opie, C., & Brown, D. (Eds.) (2019). Getting started in your Educational Research. Sage.
Poth, C. N. (2023). Mixed methods research design. Sage.
Quesada-Pallarès, C. (2024). Caso de práctica sobre la metodología cuantitativa. DDD. Disponible a: https://ddd.uab.cat/record/304785
Quesada-Pallarès, C. (2023). Casos de Pràctica Integrals per Investigar en Educació. DDD. Disponible a: https://ddd.uab.cat/record/275313
Quesada-Pallarès, C. (2019). Pautes de format per a la creació d'instruments de recollida de dades. DDD. Disponible a: https://ddd.uab.cat/record/275742
Quesada-Pallarès, C. (2019). Validació entre iguals del qüestionari. DDD. Disponible a: https://ddd.uab.cat/record/274837
Jariot, M.; Rodríguez Parrón, M.; Tello,J. (2024) Introducció al disseny metodològic de la investigació. (Guia bàsica pel desenvolupament d'una recerca) https://ddd.uab.cat/record/291886
Sala, J., & Arnau, L. (2020). El planteamiento del problema, las preguntas y los objetivos de la investigación: criterios de redacción y check list para formular correctamente. DDD. Disponible a: https://ddd.uab.cat/record/126350
Sandín, M.P. (2013). Investigación cualitativa en educación: fundamentos y tradiciones. McGraw-Hill.
Stevens, S. S. (Ed.) (2018). Stevens’ Handbook of experimental psychology and cognitive neuorscience (4a ed.). Wiley.
Van Manen, M. (2003). Investigación educativay experiencia vivida: ciencia humana para una pedagogía de la acción y la sensibilidad. Idea Books.
Anàlisi de dades
Biglia, B. (2022). Introduint la perspectiva de gènere interseccional a les estadístiques. Guia teoricopràctica. Institut Català de les Dones i Publicacions de la Universitat Rovira i Virgili.
Botella, J., Suero, M., & Ximénez, C. (2001). Análisis de datos en Psicología I. Pirámide.
Gibbs, G. (2012). El análisis de datos cualitativos en investigación cualitativa. Morata.
Gil, J., Diego, J. L., García, E., & Rodríguez, G. (1997). Problemas de estadística aplicada a las ciencias de la educación. Kronos.
Jariot, M. (2010). L’anàlisi quantitativa. En Jariot, M., Merino, R., & Sala, J. (Coord.), Les pràctiques d'educació social. Eines per al seu desenvolupament (pp. 143-152). Servei de publicacions UAB.
López-Roldán, P., & Lozares, C. (1999). Anàlisi bivariable de dades estadístiques. Servei de publicacions UAB.
Losilla Vidal, J. M., i Vives Brosa, J. (2023). Análisis de Datos conjamoνi. Universitat Autònoma de Barcelona. https://ddd.uab.cat/record/273258
Mateo, J. M. (2011). Estadística pràctica pas a pas. Publicacions URV. Disponible a: http://llibres.urv.cat/index.php/purv/catalog/view/22/22/57-1
Miguel Quesada, F. J., Ajenjo, M., i Griera, O. (2021). MUJADES: Manual d’us de jamovi per anàlisi de dades en estudis socials. DDD. https://ddd.uab.cat/record/238222
Pardo, A., & San Martín, R. (2004). Análisis de datos en Psicología II. Pirámide.
Pérez, R., García, J. L., Gil, J. A., & Galán, A. (2009). Estadísticaaplicada a la educación. Pearson.
Ritchey, F. J. (2008). Estadística para las ciencias sociales. McGraw-Hill.
Rodríguez Parrón, M. (2010). L’anàlisi qualitativa. En Jariot, M., Merino, R., & Sala, J. (Coord.), Les pràctiques d'educació social. Eines per al seu desenvolupament (pp. 153-159). Servei de publicacions UAB.
Throughout the course other books, articles and documents will be suggested to expand and/or deepen the different topics addressed.
In each block the teacher can propose compulsory readings
The following software will be used for Block B: Jamovi and Nvivo.
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.
Name | Group | Language | Semester | Turn |
---|---|---|---|---|
(PLAB) Practical laboratories | 111 | Catalan | annual | morning-mixed |
(PLAB) Practical laboratories | 112 | Catalan | annual | morning-mixed |
(PLAB) Practical laboratories | 113 | Catalan | annual | morning-mixed |
(PLAB) Practical laboratories | 211 | Catalan | annual | morning-mixed |
(PLAB) Practical laboratories | 212 | Catalan | annual | morning-mixed |
(PLAB) Practical laboratories | 213 | Catalan | annual | morning-mixed |
(SEM) Seminars | 111 | Catalan | annual | morning-mixed |
(SEM) Seminars | 112 | Catalan | annual | morning-mixed |
(SEM) Seminars | 211 | Catalan | annual | morning-mixed |
(SEM) Seminars | 212 | Catalan | annual | morning-mixed |
(TE) Theory | 1 | Catalan | annual | morning-mixed |
(TE) Theory | 2 | Catalan | annual | morning-mixed |