Paula Alexandra Alexandra Nascimento

Prof. Paula Alexandra Alexandra Nascimento

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29 June 2025 in RIAGE - Revista Ibero-Americana de Gerontologia
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FCFilipa Coelhoso
Filipa Coelhoso
MAMaria Lu´cÍlia Abreu
Maria Lu´cÍlia Abreu
JPJoana Subtil Pereira
Joana Subtil Pereira
MCMaria Fernanda Carvalho
Maria Fernanda Carvalho
PNPaula Alexandra Nascimento
Paula Alexandra Nascimento
Social Education plays a crucial role in contributing to the humanization of care, well-being, and dignity of older adults, requiring practices centered on promoting autonomy and individuality. The HumanizARTE project, developed within the scope of the third-year internship for the Social Education degree in a residential care facility for older adults, aimed to enhance the humanized care provided by formal caregivers. Using the Action-Research methodology, a socio-educational diagnosis was carried out based on consultations with team members (semi-structured interviews) and residents (focus groups), which highlighted the need to intervene with the formal caregiving team. Accordingly, an action plan was established, focusing on developing relational and communication skills among formal caregivers and promoting sociocultural and recreational experiences between staff and residents. The intervention results demonstrate improvements in the personalization of care and interpersonal communication, with the caregiving team incorporating the principles of humanitude into their daily practices. Additionally, the intervention strengthened social relationships and enhanced the well-being of residents. In conclusion, Social Education, through its specialized technical and scientific knowledge, plays a fundamental role in fostering socio-educational practices aimed at humanized care and promoting the autonomy of residents.

14 April 2026 in Education Sciences
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RMRaynier Montoro-Bombú
Raynier Montoro-Bombú
ACArmando Filipe Costa
Armando Filipe Costa
VPValter Fernandes Pinheiro
Valter Fernandes Pinheiro
FCFilipa Coelhoso
Filipa Coelhoso
ANAlexandra Nascimento
Alexandra Nascimento
PSPaulo Malico Sousa
Paulo Malico Sousa
Background: Interactive learning resources developed with the H5P platform have been progressively adopted to support autonomous learning and conceptual consolidation. However, empirical evidence regarding their impact on academic performance in theoretically demanding university courses remains limited. The primary aim of this study was to examine the effect of the structured integration of an interactive digital pedagogical resource developed with multiple-choice H5P on the academic performance of higher education students enrolled in a Motor Control course. Methods: A quasi-experimental study was conducted to compare two independent groups: a control group (CG; n = 90) and an intervention group (IG; n = 115), which had access throughout the semester to a multiple-choice interactive resource developed using the H5P platform. Academic performance was operationalized as the score obtained on a written summative assessment. Baseline equivalence between groups was assessed using an initial diagnostic test. Between-group comparisons were performed using robust non-parametric statistical procedures and further examined using a linear regression model adjusted for relevant covariates. Results: No statistically significant differences were found between groups in the baseline diagnostic test (p > 0.05), indicating comparable starting levels. At the end of the intervention period (≈2 months), the intervention group obtained significantly higher scores in the summative assessment (p < 0.001), with a large effect size (d = 0.87). Conclusions: The findings suggest that the structured integration of multiple-choice H5P resources may positively contribute to academic performance when used as a complementary tool alongside traditional teaching. These results reinforce the pedagogical potential of multiple-choice H5P to support autonomous learning and conceptual consolidation, while also highlighting the need for future research employing more rigorous experimental designs and process-based measures to better understand the underlying learning mechanisms.