Recent reforms of initial teacher education (ITE) in the learning and skills sector (LSS) in England are standards based and emphasise subject specialism. The reforms are underpinned by objectivist epistemological assumptions which are incompatible with socio-cultural theories of professional knowledge, and ignore the diverse teaching roles and contexts in the sector and wider systemic issues. ...

The study explores the communication challenges faced by teacher trainees in teaching deaf learners and the opportunities that they present. A critical disabilities study approach within the qualitative paradigm was employed to collect interview data from 14 trainee teachers (6 were men and 8 women) and 5 of their specialist mentors (all of them were women) at 3 special schools in Zimbabwe. The...

The study aimed at finding out the relationship between multiple intelligence and academic performance of elementary teacher trainees. followed normative survey method. Multiple scale test were administered to 150 trainees from various training institutes in Ramanathapuram district. data obtained subjected descriptive, differential relational analysis. found that there significant Significant d...

Recent reforms of initial teacher education (ITE) in the learning and skills sector (LSS) in England are standards based and emphasise subject specialism. The reforms are underpinned by objectivist epistemological assumptions which are incompatible with socio-cultural theories of professional knowledge, and ignore the diverse teaching roles and contexts in the sector and wider systemic issues. ...

BACKGROUND AND OBJECTIVES This study evaluated the effectiveness of a clinical interviewing training program for third-year family practice trainees and determined which other factors influence residents' training in clinical communication. METHODS This was a randomized, multicenter, educational trial involving 193 third-year family practice residents from eight centers in Spain. Centers were...

Neural Network (NN) is one of the most important branches of AI that has been applied to an increasing number of real-world problems of considerable complexity from the financial markets to real estate, medicine and education. The most commonly used is multilayer perceptron with back propagation that is capable of representing non-linear functional mapping between inputs and outputs. In this pa...