This paper uses a unique data set from 5028 primary school children in rural India to examine whether the demographic interactions between students and teachers influence student outcomes and whether social distance between student and teacher exacerbates gender, caste and religious gaps in children’s achievement. One would expect this to be the case if discrimination and/or role model effects ...

We give a simple example of a learning process in an artiicial neural network: a perceptron learning by noisy training examples, i.e. a \student" learning from an unreliable \teacher." A \gullible novice," who takes for granted everything the teacher says, does in the end far worse than this teacher. Being more \stubborn," i.e. by neglecting some of the teacher's answers, particularly the ones ...

Using reinforcement learning [4] (RL), agents can autonomously learn a control policy to master sequential-decision tasks. Rather than always learning tabula rasa, our recent work [5, 7, 8] considers how an experienced RL agent, the teacher, can help another RL agent, the student, to learn. As a motivating example, consider a household robot that has learned to perform tasks in a household. Whe...

A major attribute of effective teaching is a teacher’s sense of teacher self-efficacy, which influences teacher behavior, motivation, and impact on student outcomes. Teacher self-efficacy impacts the level of motivation a teacher exhibits towards their instructional behaviors. In a general sense, self-efficacy influences how much effort people put forth, how long they will persist in the face o...

This article presents the Action – Reflection – Modelling (ARM) pedagogical approach for teacher education developed during a Malaysia-UK collaborative project to construct a Bachelor of Education (Honours) degree programme in Primary Mathematics, with English and Health and Physical Education as minor subjects. The degree programme was written collaboratively by teacher educators in two Instit...

Model distillation is an effective and widely used technique to transfer knowledge from a teacher to a student network. The typical application is to transfer from a powerful large network or ensemble to a small network, that is better suited to low-memory or fast execution requirements. In this paper, we present a deep mutual learning (DML) strategy where, rather than one way transfer between ...

The success of traditional email-based telementoring rests on the ability and inclination of students to maintain open channels of communication with mentors. Telementoring in learning environments (specifically, Knowledge Forum) may offer strategic advantages by making the day-to-day evolution of student investigations more accessible. This paper describes an experiment in which University of ...

The purpose of this qualitative study was to give three student teachers the freedom to choose their supervisory model and to explain their experiences as the result of doing so. Student teachers majoring in agricultural education from the University of Tennessee did select different avenues of supervision. One selected clinical supervision, one selected contextual supervision, and one selected...

Learning behavior of simple perceptrons is analyzed for a teacher-student scenario in which output labels are provided by a teacher network for a set of possibly correlated input patterns, and such that teacher and student networks are of the same type. Our main concern is the effect of statistical correlations among the input patterns on learning performance. For this purpose, we extend to the...

On-line learning of a hierarchical learning model is studied by a method from statistical mechanics. In our model a student of a simple perceptron learns from not a true teacher directly, but ensemble teachers who learn from the true teacher with a perceptron learning rule. Since the true teacher and the ensemble teachers are expressed as non-monotonic perceptron and simple ones, respectively, ...