Publications associées à Binarité de genre

How are primary school computer science curricular reforms contributing to equity? Impact on student learning, perception of the discipline, and gender gaps

Francesco Mondada, Jessica Elke Dehler Zufferey, Barbara Bruno, Laila Abdelsalam El-Hamamsy

Background Early exposure to Computer Science (CS) and Computational Thinking (CT) for all is critical to broaden participation and promote equity in the field. But how does the introduction of CS and CT into primary school curricula impact learning, perce ...

2023

Classification of degenerative parkinsonism subtypes by support-vector-machine analysis and striatal I-123-FP-CIT indices

Dimitri Nestor Alice Van De Ville, Maria Giulia Preti

ObjectivesTo provide an automated classification method for degenerative parkinsonian syndromes (PS) based on semiquantitative I-123-FP-CIT SPECT striatal indices and support-vector-machine (SVM) analysis.Methods(123)I-FP-CIT SPECT was performed at a singl ...

Springer2019

Does gender-sensitive teacher training have a place in Engineering Education? Assessing pedagogical training as a step towards gender-inclusive curricula

Roland John Tormey, Siara Ruth Isaac, Cécile Hardebolle, Ingrid Le Duc

Teaching advisors work to sensitize teachers to use inclusive teaching pedagogy because it facilitates learning to all students and makes teachers aware of how the gender composition of a class and its management can promote or hamper student learning and ...

European Society for Engineering Education2018

On Learning to Identify Genders from Raw Speech Signal Using CNNs

Hannah Muckenhirn, Selen Hande Kabil

Automatic Gender Recognition (AGR) is the task of identifying the gender of a speaker given a speech signal. Standard approaches extract features like fundamental frequency and cepstral features from the speech signal and train a binary classifier. Inspire ...

ISCA-INT SPEECH COMMUNICATION ASSOC2018

Women in Science, Technology, Engineering, and Mathematics (STEM): An Investigation of Their Implicit Gender Stereotypes and Stereotypes' Connectedness to Math Performance

In spite of many barriers facing women's enrollment in Science, Technology, Engineering, and Mathematics (STEM), some women are successful in these counter-stereotypic disciplines. The present research extended work primarily conducted in the United States ...

Springer/Plenum Publishers2012