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Presentation
Presentation
This Curricular Unit sets social psychology as a scientific discipline that seeks to understand the behavior of human beings within their social environment, at the levels of intra-individual and inter-individual analysis, complementing itself with the Curricular Unit of Psychology of Groups, which considers the intra-group and inter-group levels of analysis. By considering the interaction with “other people” as the focus of analysis, it also allows understanding how Psychology relates to other social sciences such as Anthropology and Sociology, bringing a unique perspective of understanding the psychological processes that mediate the person-context relationship.
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Class from course
Class from course
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Degree | Semesters | ECTS
Degree | Semesters | ECTS
Bachelor | Semestral | 5
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Year | Nature | Language
Year | Nature | Language
2 | Mandatory | Português
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Code
Code
ULHT35-99
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Prerequisites and corequisites
Prerequisites and corequisites
Not applicable
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Professional Internship
Professional Internship
Não
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Syllabus
Syllabus
1. Introduction: 1.1 Emergence of Social Psychology as a scientific discipline 1.2 Object, methodological approaches and levels of analysis 1.3 Person-social environment relationship: Fundamental principles 1.4 From social cognition to socio-cognitive neuroscience 2. Intra-individual processes I: Attitudes 2.1 Formation, structure and functions of attitudes 2.2 Attitudes, values and attitude-behavior inconsistency 2.3 Measures of attitudes 2.4 Attitude change, persuasion and heuristics 3. Intra-individual processes II: Impression formation 3.1 Impression formation approaches 3.2 Implicit Personality Theories 3.3 Causal attribution 4. Inter-individual processes I: The relationship with others 4.1 Effects of the presence of others 4.2 Close relationships: Friendship, love and inter-regulation of emotions 4.3 Aggression and altruism
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Objectives
Objectives
This CU aims to increase understanding of psychological processes that explain the relationship between individuals and their social environment, grounded on theoretical approaches, research methods and techniques of Social Psychology as a scientific discipline. At the end of the semester, students are expected to have acquired the following competencies: LO1 - Know how to identify the main historical milestones in the emergence and autonomy of Social Psychology as a scientific discipline. LO2 - Know how to identify and describe the main theoretical and methodological models and approaches of Social Psychology. LO3 - Know how to identify and understand the different psychological processes that occur within and between levels of explanatory analysis, of the relationship between individuals and their social environment. LO4 - Apply the theoretical models and scientific knowledge acquired by Social Psychology, in the explanation of phenomena and individual behaviour in a social environment.
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Teaching methodologies
Teaching methodologies
In the theoretical-practical classes, the expository and interrogative method is used, using excerpts from films, documentaries and talks to complement the material presented and discussed. In laboratory practice classes, active and demonstrative methodology is used, with dynamics related to practical content and tutorial support for empirical group work.
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References
References
Gaspar, R., & Garrido, M. V. (2016). Cognição Social. In Miguel Pereira Lopes, Patrícia Jardim da Palma & Albino Lopes (Eds.), Fundamentos de Psicologia (pp.193-240). Lisboa: MGM Edições. Smith, E.R., & Mackie, D.M. (2014). Social Psychology (4th ed.). New York: Worth Publishers. Vala, J., & Monteiro, M.B. (coord.; 2017). Psicologia Social (10ª ed.). Lisboa: Fundação Calouste Gulbenkian. https://gulbenkian.pt/publications/psicologia-social/
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Assessment
Assessment
As metodologias usadas são: a exposição dos conteúdos, completada com discussão em aula; visionamento e análise de excertos de filmes e documentários; análise de artigos científicos; apoio tutorial aos trabalhos.
Avaliação: dois testes escritos (35% + 35%), apresentação oral de um trabalho realizado em grupo (30%). A presença nas aulas práticas é obrigatória.
Avaliação final - exame escrito (100%). Os conteúdos de carácter teórico e prático são objeto de avaliação no exame. Aprovação com 10 valores.
Nesta UC será permitido o recurso e utilização de ferramentas de IA tendo em vista os seguintes objetivos: obtenção de uma visão geral sobre um tema, pesquisa de referências, organização de ideias e sumarização de informação. Todas as informações deverão ser analisadas e integradas pelo aluno, utilizando o conhecimento adquirido em aula e através de leituras independentes. Assim, os alunos deverão assegurar a validade das informações geradas por IA e que estas provêm de fontes fidedignas. Para além disso, sempre que os elementos de avaliação submetidos tenham recorrido à utilização de ferramentas IA, os estudantes deverão assegurar o cumprimento das normas de referenciação e integridade académica preconizadas na lei e regulamentos. Devem ainda adicionar uma declaração no final do trabalho, especificando o propósito para o qual usaram as ferramentas de IA, como por exemplo, a organização de ideias, a geração de referências, a elaboração de esboços iniciais, sumarização de informação, etc.
Para uso destas ferramentas os alunos deverão aplicar as regras 4, 5 e 6 e 8, 9 e 10 constantes no artigo:
Seckel E, Stephens BY, Rodriguez F (2024) Ten simple rules to leverage large language models for getting grants. PLoS Comput Biol 20(3): e1011863. https://doi.org/10.1371/journal.pcbi.1011863
The methodologies used are: content exposure completed with discussion in class; viewing and analysis of excerpts from films and documentaries; analysis of scientific articles; tutorial support. Evaluation: two written tests (35% + 35%), oral presentation of a group work (30%). Practical classes attendance is mandatory.
Final evaluation - written exam (100%). The contents of theoretical and practical nature are evaluated in the exam. Approval with 10 values (out of 20).
In this Curricular Unit, the resource and use of AI tools will be allowed with the following objectives in mind: obtaining an overview of a topic, searching for references, organizing ideas and summarizing information. All information must be analyzed and integrated by the student, using the knowledge acquired in class and through independent reading. Therefore, students must ensure the validity of the information generated by AI and that it comes from reliable sources. Furthermore, whenever the submitted assessment elements use AI tools, students must ensure compliance with the referencing and academic integrity standards recommended by law and regulations. They must also add a statement at the end of the work, specifying the purpose for which they used the AI tools, such as organizing ideas, generating references, preparing initial sketches, summarizing information, etc.
To use these tools, students must apply rules 4, 5 and 6 and 8, 9 and 10 contained in the article:
Seckel E, Stephens BY, Rodriguez F (2024) Ten simple rules for leveraging large language models for grantmaking. PLoS Comput Biol 20(3): e1011863. https://doi.org/10.1371/journal.pcbi.1011863
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Mobility
Mobility
Yes
