Abstract This paper aims to illustrate an automated system developed give formative and personalized feedback teachers in training. It is expert (Paviotti, Rossi & Zarka, 2012) that uses concrete examples, cases scenarios guide the engaged learners (Leake, 1996). In this regard, able create questionnaires, deliver them, collect analyze data, send participants provide information about their...

This paper analyses the opportunities of digital feedback delivery, its use in translation classroom, and application as tool active instruction formative assessment at university level. A mixed research design involved 33 third-year students Poltava University Economics Trade majoring Translation. They participated study voluntarily spring term 2019/2020 academic year. The effectiveness teache...

Providing peer feedback is an activity that does not only support the receiver of the feedback in his or her learning process, it is also useful for those who provide feedback, as they have to critically analyse the work or performance of colleagues [1]. Apart from the specific contents of peer feedback comments, the quantity and the diversity of peer feedback in comparison with the quantity an...

there is a growing interest among the higher education principals and policy makers to improve teacher evaluation methods and more important than that to use the evaluation data. a number of research studies implied the ineffective instruction of esp courses in iran (atai, 2002; eslami, 2005; hayati, 2008; ahmadi, 2008; sherkatolabbasi & mahdavi, 2012; boniadi, ghojazadeh & rahmatvand, ...

The present study attempts to uncover language teachers’ beliefs about oral corrective feedback. It also explores the role of teachers’ experiences in their choice of error correction techniques. To achieve the purpose of the study, 137 foreign language teachers were asked to fill out the developed questionnaire and follow-up interviewed were conducted with 10 teachers, five novice and experien...

In supervised learning, learning from queries rather than from random examples can improve generalization performance significantly. We study the performance of query learning for problems where the student cannot learn the teacher perfectly, which occur frequently in practice. As a prototypical scenario of this kind, we consider a linear perceptron student learning a binary perceptron teacher....