This quasi-experimental study investigates the effects of pre-writing (Pre-EI) and post-writing explicit instruction (Post-EI) on L2 learners' overall writing accuracy and errors at different severity levels. Situated within process-genre-oriented writing classrooms, a total of three intact groups (N = 101) were designated as two experimental…

This study investigates the effects of teacher-focused feedback (TF) and automatic writing evaluation (AWE) on global writing performance as well as syntactic complexity, accuracy, lexical diversity, and fluency (CALF) of English as a foreign language (EFL) learners' narrative and argumentative writings. The participants were randomly assigned to…

Morphological awareness is the metalinguistic realization that words consist of meaningful roots and affixes that can be isolated and manipulated. Learners at different proficiency levels use various forms of background knowledge such as cultural knowledge, technical knowledge, religious knowledge, vocabulary knowledge, and contextual visuals. The…

The purpose of the current study is to explore the potential impact of a goal-based writing program on EFL students' writing competence and their attitudes toward goal-setting activities. The goal-based writing program was developed within goal-setting theory and launched in a writing class of 39 EFL Vietnamese university students over ten weeks.…

The present study aimed at investigating whether academic IELTS candidates perform differently in writing on either a chart topic or a table topic of the IELTS writing task 1 with regard to the four IELTS writing marking criteria i.e. task achievement, coherence and cohesion, lexical resource, and grammar range and accuracy. The study adopted a…

The advent of No Child Left Behind led to increased teacher accountability for student performance and placed strict sanctions in place for failure to meet a certain level of performance each year. With instructional time at a premium, it is imperative that educators have brief academic assessments that accurately predict performance on…