Background: With the growing trend of integrating technology into teaching environments, using Automated Writing Evaluation (AWE) in writing instruction has been extensively studied over the last two decades. The studies on AWE mostly investigated its impact on students' writing proficiencies and revealed conflicting results. However, very few…

Writing is a necessary skill in our technological world. Many people have a mobile device that they use for e-mailing, social media, as an alarm clock to start the day, reading the news, searching for information, ordering food, managing transportation (e.g., monitoring traffic, accessing public transit), or for relaxing pursuits, such as watching…

Second language writing researchers have examined the affordances of Automated Writing Evaluation programs in providing immediate feedback that helps improve students' writing outputs. However, a little is known about tracking learners' process during writing essays and whether much/less pauses made by learners could predict good/poor quality of…

In this study, the participants learned English as a foreign language (EFL) in the classroom and then worked on five learning tasks to apply their newly learned knowledge to unfamiliar environments. The participants took photos of people, objects, situations or scenarios and described them in detail using a mobile learning system. Familiarization…

Despite the growing interest in investigating the pedagogical application of Automated Writing Evaluation (AWE) systems, studies on the process of AWE-supported writing are still scant. Adopting activity theory as the framework, this qualitative study aims to examine how students incorporated AWE feedback into their writing in an English as a…

This study investigates the extent to which microfeatures -- such as basic text features, readability, cohesion, and lexical diversity based on specific word lists -- affect Chinese EFL writing quality. Data analysis was conducted using natural language processing, correlation analysis and stepwise multiple regression analysis on a corpus of 268…