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  1. Hace 4 días · Phenomenon based learning is a 21st Century teaching method that originated in Finland. The approach emphasizes choosing a phenomenon to study rather than a ‘subject’ (such as mathematics, literacy, science, history, etc.).

  2. Hace 4 días · Phenomenon Based Learning (PhBL): PhBL is an approach that is popular in Finland. Rather than learning through subjects (mathematics, languages, science, history), students focus on a ‘phenomenon’ (or ‘topic’) that requires them to use multiple different forms of knowledge from different subject areas to learn about the ...

  3. Hace 4 días · Use space retention learning, where you re-learn the same topic a few times over a few days or weeks to cement the knowledge. Learn stack, where you learn about lots of adjacent topics to build a structure of related knowledge. Use distributed learning, where you break up a learning period into smaller chunks instead of one massive stint.

  4. Hace 3 días · Victoria VanUitert is an assistant professor in the School of Inclusive Teacher Education at Bowling Green State University. Her research focuses on (a) developing interventions to enhance the social-emotional and academic success and well-being of neurodivergent individuals (e.g., autistic, with ADHD, with learning disabilities) and (b) preparing pre- and in-service K-12 teachers and ...

  5. Hace 4 días · Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning. Dipam Goswami, Albin Soutif--Cormerais, Yuyang Liu, Sandesh Kamath, Bartłomiej Twardowski, Joost van de Weijer. Continual learning methods are known to suffer from catastrophic forgetting, a phenomenon that is particularly hard to counter for methods that do not store ...

  6. Hace 5 días · Foreign language learning anxiety is a common phenomenon among students, impacting their language acquisition and proficiency levels. English major students, particularly in an online setting, face unique challenges that can exacerbate anxiety levels.

  7. Hace 3 días · Deep Learning. Qué es y por qué es importante. El deep learning es un tipo de machine learning que entrena a una computadora para que realice tareas como las hacemos los seres humanos, como el reconocimiento del habla, la identificación de imágenes o hacer predicciones.