2 resultados para Perceived Crowding

em Instituto Superior de Psicologia Aplicada - Lisboa


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This study analyses teacher perceived difficulty in implementing differentiated instructional strategies in regular classes. The participants were 273 Portuguese primary school teachers with teaching experience ranging from 1 to 33 years. A 39-item questionnaire was used to evaluate teacher perceived difficulty in relation to different instructional strategies. Teacher responses were factor analysed and five different domains were identified: (1) activities and materials; (2) assessment; (3) management; (4) planning and preparation; and (5) classroom environment. Results showed that with the exception of the classroom environment domain, all the instruction practices in the remaining domains were considered to be difficult. In particular, the most difficult practices were under the domain of activities and materials and were associated with the adaptation of curricular elements (content, process, and product) based on student characteristics (readiness, interest, and learning profiles). The results also revealed a strong association between the activities and materials domain and the assessment domain. Some implications of these findings for initial teacher training and teacher professional development programmes are discussed.

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This study explores, from an ecological perspective, the relationship between perceived housing quality and the perception of choice, and between perceived choice and recovery of 45 Housing First Lisbon participants. For this purpose, we used a quantitative method and applied three instruments that report perceived housing quality, perceived choice and severe mental illness recovery. The findings reveal a significant and positive association between perceived housing quality and perceived choice, and between perceived choice and recovery, with choice being predicted by housing quality and recovery predicted by choice. These results reinforce the scientific evidence regarding the success of housing first models as a consumer choice-driven intervention, addressing pertinent environmental factors that contribute to housing stability. The study demonstrates that recovery processes can be maximized through services that empower their consumers by allowing them to choose and control the priority and order of the support services received.