1 - Producción científica en acceso abierto de la UAM
http://hdl.handle.net/10486/129079
2024-03-18T16:45:40ZControversias dialógicas y teatro documental en la enseñanza de conflictos históricos recientes
http://hdl.handle.net/10486/711510
Controversias dialógicas y teatro documental en la enseñanza de conflictos históricos recientes
Cantabrana, María; Carretero Rodríguez, Mario; Barreiro, Alicia
Partiendo del interés de analizar los efectos de la enseñanza dialógica en el abordaje de pasados conflictivos, se presentan los resultados cuantitativos de un estudio de diseño pre-test post-test de carácter didáctico sobre la enseñanza de la guerra de Malvinas en un grupo de 66 estudiantes de Buenos Aires, Argentina. Para ello, se desarrollaron una serie de actividades dialógicas basadas en el visionado de la película Teatro de Guerra y la lectura de textos historiográficos. Se utilizó un cuestionario para evaluar el conocimiento histórico, los niveles de prejuicio hacia los ingleses y los juicios morales sobre la guerra. Los resultados sugieren que las actividades dialógicas fueron efectivas para fortalecer el conocimiento histórico y reducir el prejuicio entre los estudiantes. Los juicios morales sobre la guerra se mostraron más difíciles de cambiar. Se destaca la importancia de promover el diálogo en el aula para fomentar una comprensión reflexiva del pasado; With the aim of analyzing the effects of dialogic teaching in the approach to conflictive pasts, this paper presents the quantitative results of a pretest-posttest didactic design study on the teaching of the Malvinas War in a group of 66 students from Buenos Aires, Argentina. For this purpose, we developed several dialogic activities based on the viewing of the film Theater of War and the reading of historiographic texts. A questionnaire was used to assess historical knowledge, levels of prejudice towards the English, and moral judgments about the war. The results suggest that the dialogic activities were effective in strengthening historical knowledge and reducing prejudice among students. Moral judgments about the war proved to be more difficult to change. This highlights the relevance of promoting dialogue in the classroom to encourage a reflective understanding of the past
2023-10-22T00:00:00ZGori, Alessandro; Hernández, Adday; Perho, Irmeli (eds.). Arabic Literature of Africa: The Writings of the Muslim Peoples of Northeastern Africa. Leiden y Boston: Brill, Handbook of Oriental Studies. Section 1 The Near and Middle, vol. 13/3b, 2022, xviii + 193 pp.
http://hdl.handle.net/10486/711509
Gori, Alessandro; Hernández, Adday; Perho, Irmeli (eds.). Arabic Literature of Africa: The Writings of the Muslim Peoples of Northeastern Africa. Leiden y Boston: Brill, Handbook of Oriental Studies. Section 1 The Near and Middle, vol. 13/3b, 2022, xviii + 193 pp.
García Novo, Marta
2024-01-01T00:00:00ZA proposal for predicting and intervening on MOOC learners’ performance in real time
http://hdl.handle.net/10486/711553
A proposal for predicting and intervening on MOOC learners’ performance in real time
Pascual, Iván; Cobos Pérez, Ruth
There is a lot of data from MOOCs, but their instructors cannot process that much information. While many learners end up dropping out of the course in which they enrolled in, a substantial problem in this context, their engagement data reveals their lack of interest even before they drop out. In order to make use of this information, we propose a Machine Learning approach to predict in real-time whether a learner would drop out or pass the MOOC, and a web-based dashboard approach to support this information and provide interventions over these learners. Using it in an asynchronous MOOC for 4 months, we predicted, with 0.93 F1-Score, the dropouts and passes from that period.
2022-06-20T00:00:00ZFace image quality assessment: a literature survey
http://hdl.handle.net/10486/711508
Face image quality assessment: a literature survey
Schlett, Torsten; Rathgeb, Christian; Henninger, Olaf; Galbally, Javier; Fiérrez Aguilar, Julián; Busch, Christoph
The performance of face analysis and recognition systems depends on the quality of the acquired face data, which is influenced by numerous factors. Automatically assessing the quality of face data in terms of biometric utility can thus be useful to detect low-quality data and make decisions accordingly. This survey provides an overview of the face image quality assessment literature, which predominantly focuses on visible wavelength face image input. A trend towards deep learning-based methods is observed, including notable conceptual differences among the recent approaches, such as the integration of quality assessment into face recognition models. Besides image selection, face image quality assessment can also be used in a variety of other application scenarios, which are discussed herein. Open issues and challenges are pointed out, i.a., highlighting the importance of comparability for algorithm evaluations and the challenge for future work to create deep learning approaches that are interpretable in addition to providing accurate utility predictions
2022-01-05T00:00:00Z