This paper reports on a research project in which a group of teachers in a pre-school teacher education programme based at a “satellite” study centre in a distant rural area used a student-centred learning approach as a means to bridge the distance in the social relationship. A qualitative approach was taken that aimed to develop a greater understanding of the teacher-student relationship throu...

Learning curves for Gaussian process regression are well understood when the 'student' model happens to match the 'teacher' (true data generation process). I derive approximations to the learning curves for the more generic case of mismatched models, and find very rich behaviour: For large input space dimensionality, where the results become exact, there are universal (student-independent) plat...

This study explored preservice teacher attitudes towards teaching a deaf student who uses Australian Sign Language (Auslan) compared to a student who is new to Australia and speaks Polish. The participants were 200 preservice teachers in their third or fourth year of university education. A questionnaire was created to measure attitudes, and participants were also asked to list teaching strateg...

In order to improve the performance for far-field speech recognition, this paper proposes to distill knowledge from the close-talking model to the far-field model using parallel data. The close-talking model is called the teacher model. The farfield model is called the student model. The student model is trained to imitate the output distributions of the teacher model. This constraint can be re...

Any opinions, findings, and conclusions or recommendations expressed in this paper are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. ABSTRACT A central question for teachers and researchers is how to engage active student reasoning, be responsive to student ideas, and still efficiently meet content goals. The availability and sophistication ...

In supervised learning, learning from queries rather than from random examples can improve generalization performance signiicantly. We study the performance of query learning for unrealizable tasks, where the student cannot learn the teacher perfectly. As a simple model scenario of this kind, we consider a linear perceptron student learning a general nonlinear perceptron teacher. Two kinds of q...

We explore the potential of dilemma analysis as an assessment tool to reveal student teachers thinking and concerns about their practice. For this purpose we analyze the dilemma analyses completed by 22 student teachers enrolled in our science teacher preparation program over a period of four semesters. Student teachers dilemmas fall into two main groups: dilemmas about student performance and ...

This paper describes the effectiveness of knowledge distillation using teacher student training for building accurate and compact neural networks. We show that with knowledge distillation, information from multiple acoustic models like very deep VGG networks and Long Short-Term Memory (LSTM) models can be used to train standard convolutional neural network (CNN) acoustic models for a variety of...

The educational process is a complicated interaction between the teacher, the student and the environment where it takes place. It is important for a successful educational transaction for the teacher to recognize the learning and emotional needs of his student and to adapt the teaching and his behavior accordingly. In this poster we present an affective model, which augments an Adaptive Educat...