One of the main restrictions of the PAC framework that makes it unrealistic is that the labels of the instances are assumed to be generated by a concept from a predetermined concept class. In real world applications of learning we can rarely assume such prior knowledge. A more realistic framework of analysis is the “Pattern recognition problem” framework proposed by Vapnik [5]. In this framewor...

BACKGROUND This longitudinal study classified groups of children experiencing different trajectories of student-teacher relationship quality over the transition from preschool into school, and determined the strength of the association between different student-teacher relationship trajectories and childhood mental health problems in the second year of primary school. METHODS A community samp...

the concept of teacher efficacy has received significant attention in educational contexts in the recent years and has been empirically probed at 2 levels: individual teacher efficacy and collective teacher efficacy. having their origins in the social cognitive theory, teacher and collective efficacy perceptions are quite distinct constructs, each affecting educational decisions and student ach...

A promising metacognitive reading strategy intervention is being evaluated in several high schools as a means of improving students’ comprehension of science texts. Students are trained to use a variety of strategies in explaining texts to themselves when they do not understand a sentence or paragraph. To make the training more widely available, a web-based trainer has been developed. Transform...

The spread of Covid-19 is affecting education systems around the world and transform learning from face-to-face to online learning. Interaction important pattern share knowledge between teachers students. Previous research has said that interaction could also encourage students master subject matter. This study aims describe EFL teachers’ perception towards classroom during pandemic especially ...

Agents learning how to act in new environments can benefit from input from more experienced agents or humans. This paper studies interactive teaching strategies for identifying when a student can benefit from teacher-advice in a reinforcement learning framework. In student-teacher learning, a teacher agent can advise the student on which action to take. Prior work has considered heuristics for ...