Important notice
The course guide is provisional.
The PDF version of the course guide may take a few days to become available in the DDD.

Progress in the Social Aspects of Communication and Language
Code: 45536Credits: 3
| Degree programme | Type | Course |
|---|---|---|
| Communication and Language Disorders | OP | 1 |
Contact lecturer
- Name :
- Mario Figueroa González
- Email :
- mario.figueroa@uab.cat
Teaching staff
- Paula Resina Curado
Group languages
You can consult this information at the end of the document.
Prerequisites
There are no prerequisites.
Objectives
To provide students with both theoretical and practical content that enables their qualification and specialization in the social aspects relevant to the development of language and communication.
Learning outcomes
- CA19 (Work in teams in the field of social cognition and communication.) Work in teams in the field of social cognition and communication.
- CA20 (Make decisions and solve problems autonomously on social cognition skills in communication and language.) Make decisions and solve problems autonomously on social cognition skills in communication and language.
- KA16 (Acquire more in-depth knowledge of social cognition in communication and language) Acquire more in-depth knowledge of social cognition in communication and language
- SA26 (Intervene on the facilitators of social cognition skills for effective communication) Intervene on the facilitators of social cognition skills for effective communication
Contents
- Social Cognition
- Social Cognition and Language Skills
- Social Cognition and Language Skills: Atypical Development
- Maladaptive Behaviors and Communication
- Maladaptive Behaviors and Communication: Intervention
Learning activities and methodology
| Title | Hours | ECTS | Learning outcomes |
|---|---|---|---|
| Tutorías | 6 | 0.24 | CA19, CA20 |
| Lecture, Debate, Problem-Based Learning through clinical case studies | 15.75 | 0.63 | CA19, CA20, KA16 |
| Writing assignments, preparing oral presentations, reading relevant articles and reports, and individual study. | 53.25 | 2.13 | CA19, CA20, SA26 |
The face-to-face sessions will combine master lectures by expert teachers and practical exercises where the students can put the exposed theory into practice and discuss it. Subsequently, the student will perform various assessment tasks in a non-face-to-face manner.
Assessment
Continuous assessment activities
| Title | Weight | Hours | ECTS | Learning outcomes |
|---|---|---|---|---|
| EV2. Project of an evidence-based intervention | 30% | 0 | 0 | CA19, CA20, SA26 |
| EV4. Classroom activities | 20% | 0 | 0 | CA19, CA20, SA26 |
| EV1. Exam | 20% | 0 | 0 | KA16 |
| EV3. Design an evidence-based intervention | 30% | 0 | 0 | CA19, CA20, SA26 |
EV1: Exam (individual; 20% of the final grade). To be taken in the last session.
EV2: Project of an evidence-based intervention (in group; 30% of the final grade). To be submitted in the 3rd or 4th session.
EV3: Design an evidence-based intervention (in group; 30% of the final grade). To be submitted in the last session.
EV4: Class activities such as case studies or problem-solving (group or individual, 20% of the final grade). These will be carried out throughout the seminars.
Type of Feedback
| Assessment (EV) and Type | |
| Written – EV1 | One week after the last session. |
| Digital tool – EV3 | One week after submission. |
| In-class - EV2 and EV4 | EV2: one week after submission. Feedback for EV4 is provided at the time of the activity. |
| Tutorial | — |
Final Grade
The final grade for the course will be the weighted average of the scores obtained in each of the learning assessments. A grade of 5 or higher is required in those assessments with a weight greater than 20%.
Resits / Recovery
If the final grade for the module is below 5 (out of 10), students must resubmit the assessments that werenot passed (i.e., any learning evidence with a score below 5). EV4 cannot be retaken. The maximum grade that can be obtained after resubmission is 5 out of 10.
Definition of \"Not Assessable\"
Students who do not participate in any of the assessments, or who participate in several but the total weight of those assessments is less than 50% of the final grade, will receive the qualification \"Not Assessable.\"
Synthesis Test
For students enrolled for the second or subsequent time, the same continuous assessment process will apply. Therefore, a single non-recoverable synthesis test is not foreseen.
Use of Artificial Intelligence (AI)
The use of AI technologies is permitted in this course exclusively for support tasks, such as literature or information searches, text correction, or translations. Students must clearly identify which parts were generated using AI, specify the tools used, and include a critical reflection on how these tools influenced the process and the final outcome of the activity. Lack of transparency in the use of AI in any assessed activity will be considered academic dishonesty and may result in partial or total penalties in the activity’s grade, or more severe penalties in serious cases.
Bibliography
Barkley, R. A. (2013). Defiant Children. Guilford Press.
Brignell, A., Chenausky, K. V., Song, H., Zhu, J., Suo, C., & Morgan, A. T. (2018). Communication interventions for autism spectrum disorder in minimally verbal children. The Cochrane database of systematic reviews, 11(11), CD012324. https://doi.org/10.1002/14651858.CD012324.pub2
Kazdin, A. E. (2005). Parent Management Training. Oxford University Press.
Tomasello, M. (2003). Constructing a Language. Harvard University Press.
Tomasello, M. (2008). Origins of Human Communication. MIT Press.
Volkmar, F. R., Paul, R., Klin, A., & Cohen, D. (2005). Handbook of Autism and Pervasive Developmental Disorders. Wiley.
Wellman, H. M. (2014). Making Minds: How Theory of Mind Develops. Oxford University Press.
Software
Not applicable.
Course groups and languages
The information provided is provisional until November 30. After this date, you will be able to consult the language of each group through this link. To access the information, you will need to enter the course CODE
| Type of teaching | Group | Language | Semester | Shift |
|---|---|---|---|---|
| (TEm) Theory (master) | 1 | Catalan | second semester | afternoon |