This research explores the effects of three computer-mediated feedback modalities, that is, elicitation, recast, and meta-linguistics, on the learning of English participial, gerund, and infinitival phrases among Iranian intermediate-level EFL learners. The overriding focus of the present study was to investigate whether different types of feedback given through form-focused computer-human exch...

this research explores the effects of three computer-mediated feedback modalities, that is, elicitation, recast, and meta-linguistics, on the learning of english participial, gerund, and infinitival phrases among iranian intermediate-level efl learners. the overriding focus of the present study was to investigate whether different types of feedback given through form-focused computer-human exch...

L2 written corrective feedback has been investigated from different perspectives in SLA research (e.g. Ahmadian & Tajabadi, 2015; Bitchener & Knoch, 2010; Ferris, 2006). Taking the cognitive and sociocultural paradigms into account, the aims of the current study are twofold: Firstly, it attempts to find if corrective feedback is effective in improving the linguistic accuracy of L2 learners' ten...

Various studies have confirmed the influential role of corrective feedback (CF) in the development of different linguistic skills and components. However, little, if any, research has been conducted on comparing types of linguistic errors treated by teachers through CF. To bridge this gap, this study sought to investigate the linguistic errors addressed and the types of CF provided by teachers....

The present study explores the effect of providing different types of written corrective feedback (WCF) on 79 Iranian EFL learners’ writings over time through a pre-test, immediate post-test and delayed post-test. In this way, the study first aims to investigate the extent to which different types of WCF result in improved accuracy in writing over a period of two months, and then maintain...

We explore unconstrained natural language feedback as a learning signal for artificial agents. Humans use rich and varied to teach, yet most prior work on interactive from assumes particular form of input (e.g., commands). propose general framework which does not make this assumption, instead using aspect-based sentiment analysis decompose into over the features Markov decision process. then in...

The effect of error feedback on the accuracy of output task types such as editing task, text reconstruction task, picture cued writing task, and dictogloss task, has not been clearly explored. Following arguments concerning that the combination of both corrective feedback and output makes it difficult to determine whether their effects were in combination or alone, the purpose of the present st...