to present a multiple-instructor, active-learning strategy in the undergraduate medical curriculum. this educational research is a descriptive one. shared teaching sessions, were designed for undergraduate medical students in six organ-system based courses. sessions that involved in-class discussions of integrated clinical cases were designed implemented and moderated by at least 3 faculties (c...

this study was intended first to categorize the l2 learners in terms of their learning style preferences and second to investigate if their learning preferences are related to lexical inferencing. moreover, strategies used for lexical inferencing and text related issues of text density and parts of speech were studied to determine their moderating effects and the best predictors of lexical infe...

Deep neural networks have been shown to be very powerful methods for many supervised learning tasks. However, they can also easily overfit training set biases, i.e., label noise and class imbalance. While both with noisy labels class-imbalanced received tremendous attention, existing works mainly focus on one of these two biases. To fill the gap, we propose Prototypical Classifier, which does n...

introduction. learning materials (lms), are submitted to students in different types, from class notes to referring students to different references, which can have different effectiveness. therefore, evaluation of effectiveness of commonly used types can help the university faculties in selection of more appropriate lms for students. methods. 1. the data regarding the types of lms used in diff...