Buscar
Mostrando ítems 1-10 de 1136
A semi-supervised learning algorithm for relevance feedback and collaborative image retrieval
(2015-12-11)
The interaction of users with search services has been recognized as an important mechanism for expressing and handling user information needs. One traditional approach for supporting such interactive search relies on ...
Semi-supervised learning for relevance feedback on image retrieval tasks
(Ieee, 2014-01-01)
Relevance feedback approaches have been established as an important tool for interactive search, enabling users to express their needs. However, in view of the growth of multimedia collections available, the user efforts ...
Is more detailed feedback better for problem solving?
(2021)
Although feedback is recognized as one of the most relevant factors to improve learning, its effectivity is highly dependent on the specific setting. In particular, feedback in elementary school students has not been ...
Reacting to feedback: students' perception on written feedback
(Florianópolis, SC, 2019-04-24)
A importância do feedback escrito apareceu nos anos 70 com o advento da “process approach” (Hyland & Hyland, 2006). Durante os últimos 40 anos essa abordagem que consiste no encorajamento dos alunos, por parte do professor, ...
O feedback no ensino esportivo: conceituações e apontamentos para a sua utilização
(Universidade Federal de Santa MariaBrasilUFSMCentro de Educação, 2012-01-16)
The objective of this study is to analyze and the conceptualization of feedback and its within learning, taking into account the pedagogic interaction of this variable in the teaching process of sports games. In the review ...
Designing feedback processes in the workplace-based learning of undergraduate health professions education: a scoping review
(2024)
Background: Feedback processes are crucial for learning, guiding improvement, and enhancing performance. In workplace-based learning settings, diverse teaching and assessment activities are advocated to be designed and ...
Multimodal retrieval with relevance feedback based on genetic programming
(SpringerDordrechtHolanda, 2014)