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ItemOpen Access
Civic space in a changing world order
2026 - Garrido, Mariana Antunes
This article considers the concept of civic space and the set of rights underpinning it. It also examines how changing political, security and funding conditions are shaping and restricting civic space particularly in a changing international order
ItemOpen Access
Referenciação e articulação comunitária: boas práticas nas equipas comunitárias de saúde mental (ECSM)
2026-10 - Almeida, Rui; Casaleiro, Tiago
As ECSM atuam como pilares fundamentais de cuidados de proximidade através de articulação intersectorial (Gago, 2023). O seu sucesso sustenta-se em fluxos de referenciação flexíveis e na transição para um modelo focado na recuperação e integração social.
ItemOpen Access
Ethical boundaries for the use of artificial intelligence in academic assessment
2026-10-27 - Silva, Mário Marques da; Matos, Joana M.
Purpose: This study examines educators’ perceptions of the ethical boundaries for using Artificial Intelligence (AI) in teaching and academic assessment, distinguishing AI support from AI delegation using flipped learning as a pedagogical lens. Design/methodology/approach: A questionnaire was administered to 148 faculty members from Universidade Autónoma de Lisboa, Portugal. The paper adopts an exploratory quantitative case-study design. Analysis used descriptive statistics, normalised Shannon entropy, Pearson correlation, and a paired-samples t test. Findings: Respondents were open to AI support for routine, preparatory, and lower-order learning activities, but more cautious when AI was associated with evaluation, fairness, interpretation, and assessment decisions. Teacher judgment was strongly prioritised, while trust in AI-generated fair and unbiased evaluation remained limited. Entropy analysis showed relatively clear boundaries around AI bias and human judgment, but more contested boundaries around AI-supported evaluation, learner independence, and critical reflection. Research limitations/implications: The single-institution convenience sample should be interpreted as exploratory and analytically transferable rather than statistically generalisable. Practical implications: Institutions should clarify where AI may support assessment and where human evaluative authority must remain explicit. Social implications: The findings highlight the need for shared institutional norms. Originality/value: The paper proposes the Dual Approach as an interpretive framework connecting ethical responsibility, cognitive complexity, and flipped learning to distinguish AI support from delegated evaluative authority. Its contribution lies in locating the ethical boundary at the transfer of assessment responsibility and identifying where educators’ perceptions indicate crisp or fuzzy boundaries.