Although many studies modelled writing quality by analysing basic skills (spelling, grammar, etc.), few focused on top-down compositional strategies at the discourse level. We propose that using both narrative and argument discourse modes in an argumentative essay (a multi-discourse mode [MDM] strategy) capitalizes on their complementary…

Writing an integrated essay based on multiple-documents requires students to both comprehend the documents and integrate the documents into a coherent essay. In the current study, we examined the effects of summarization as a potential reading strategy to enhance participants' multiple-document comprehension and integrated essay writing.…

We investigated the relationship between the scores assigned by an Automated Essay Scoring (AES) system, the Intelligent Essay Assessor (IEA), and grades allocated by trained, professional human raters to English essay writing by instigating two procedures novel to written-language assessment: the logistic transformation of AES raw scores into…

Recognizing the appealing features of a tablet (e.g., an iPad), including size, mobility, touch screen display, and virtual keyboard, more educational professionals are moving away from larger laptop and desktop computers and turning to the iPad for their daily work, such as reading and writing. Following the results of a recent survey of…

In automated essay scoring (AES), essays are automatically graded without human raters. Many AES models based on various manually designed features or various architectures of deep neural networks (DNNs) have been proposed over the past few decades. Each AES model has unique advantages and characteristics. Therefore, rather than using a single-AES…

Purpose: Skills development for business students is increasingly becoming more important in business education and the workplace. In this paper, students' research skills are examined. The purpose of this paper is to identify some of the issues and challenges students face in developing research skills and how these can be addressed.…

Automated Essay Scoring (AES) technologies provide innovative solutions to score the written essays with a much shorter time span and at a fraction of the current cost. Traditionally, AES emphasized the importance of capturing the "coherence" of writing because abundant evidence indicated the connection between coherence and the overall…

The present study explores two rating methods for peer assessment (analytical rating using criteria and comparative judgement) in light of concurrent validity, reliability and insufficient diagnosticity (i.e. the degree to which substandard work is recognised by the peer raters). During a second-year undergraduate course, students wrote a one-page…

Providing timely and helpful writing feedback for student writers, especially those at the middle and high school level, can present an unwieldy challenge for teachers. Yet, feedback is necessary for students' growth as writers. There is an increased interest and use of automatic writing programs to provide students with writing feedback. However,…

This study examined a naturalistic, districtwide implementation of an automated writing evaluation (AWE) software program called "MI Write" in elementary schools. We specifically examined the degree to which aspects of MI Write were implemented, teacher and student attitudes towards MI Write, and whether MI Write usage along with other…

This study examined a naturalistic, districtwide implementation of an automated writing evaluation (AWE) software program called "MI Write" in elementary schools. We specifically examined the degree to which aspects of MI Write were implemented, teacher and student attitudes towards MI Write, and whether MI Write usage along with other…

Purpose: The authors constructed an automatic essay scoring (AES) model in a discussion forum where the result was compared with scores given by human evaluators. This research proposes essay scoring, which is conducted through two parameters, semantic and keyword similarities, using a SentenceTransformers pre-trained model that can construct the…

Phraseology has been flourishing in the field of English writing studies in recent years. However, the focus has primarily been on items with less variability, such as ngrams or lexical bundles. To address this gap, this study investigates concgrams (Cheng et al., 2006), which encompass both constituency and positional variations, in advanced…

Human essay grading is a laborious task that can consume much time and effort. Automated Essay Scoring (AES) has thus been proposed as a fast and effective solution to the problem of grading student writing at scale. However, because AES typically uses supervised machine learning, a human-graded essay corpus is still required to train the AES…

Lexical frequency benchmarks have been extensively used to investigate second language (L2) lexical sophistication, especially in language assessment studies. However, indices based on semantic co-occurrence, which may be a better representation of the experience language users have with lexical items, have not been sufficiently tested as…