In higher education, the entry-level, not-for-credit courses in Developmental Education play a pivotal role for incoming degree-seeking students. Focusing specifically on Developmental Writing, at two- and four-year public and private institutions across the country, a common requirement to pass the course is a summative argumentative essay that…

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…

This study explores the effectiveness of using ChatGPT, an Artificial Intelligence (AI) language model, as an Automated Essay Scoring (AES) tool for grading English as a Foreign Language (EFL) learners' essays. The corpus consists of 50 essays representing various types including analysis, compare and contrast, descriptive, narrative, and opinion…

The purpose of this study was to connect the learning school of computer education students at Dehasen University Bengkulu in using google class. This type of research is descriptive qualitative. Respondents' answers using the google form application. Data were analyzed by stages of reduction, display and conclusion drawing or verification. The…

Current writing support tools tend to focus on assessing final or intermediate products, rather than the writing process. However, sensing technologies, such as keystroke logging, can enable provision of automated feedback during, and on aspects of, the writing process. Despite this potential, little is known about the critical indicators that can…

One of the free platforms made by IT companies in the education sector in Indonesia can be used to facilitate online learning at home during the "COVID-19" pandemic. The platform is called the "SEVIMA EdLink." This platform needs to be known by academics and the wider community of education in the world. This platform provides…

This study employed a mixed-design approach and the Many-Facet Rasch Measurement (MFRM) framework to investigate whether rater bias occurred between the onscreen scoring (OSS) mode and the paper-based scoring (PBS) mode. Nine human raters analytically marked scanned scripts and paper scripts using a six-category (i.e., six-criterion) rating…

This study explored the role of written languaging (WL) in response to automated written corrective feedback (AWCF) in L2 accuracy improvement in English classrooms at a university in China. A total of 254 freshmen enrolled in intermediate composition classes participated, and they wrote 4 essays and received AWCF. A half of them engaged in WL…

Many assessments of writing proficiency that aid in making high-stakes decisions consist of several essay tasks evaluated by a combination of human holistic scores and computer-generated scores for essay features such as the rate of grammatical errors per word. Under typical conditions, a summary writing score is provided by a linear combination…

This study compared the effects of teacher feedback (TF) and online automated feedback (AF) on the quality of revision of English writing. It also examined the strengths and weaknesses of the two types of feedback perceived by English language learners (ELLs) as a foreign language (FL). Sixty-eight Chinese students from two English classes…

The number of Chinese engineering students has increased greatly since 1999. Rating the quality of these students' English essays has thus become time-consuming and challenging. This paper presents a novel automatic essay scoring algorithm called PSOSVR, based on a machine learning algorithm, Support Vector Machine for Regression (SVR), and a…

Writing essays and receiving feedback can be useful for fostering students' learning and motivation. When faced with large class sizes, it is desirable to identify students who might particularly benefit from feedback. In this article, we tested the potential of Latent Semantic Analysis (LSA) for identifying poor essays. A total of 14 teaching…

This mixed-methods study investigates writers' task representation and the factors affecting it in test-like and non-test-like conditions. Five advanced-level L2 writers wrote two argumentative essays each, one in test-like conditions and the other in non-test-like conditions where the participants were allowed to use all the time and online…

This study examines the effectiveness of an automated translation chatbot used in online interactions which consequently could enhance second/foreign language (L2) competence. Based on the sociocultural perspectives of learning, such as communication to recognize the difference from others and to be involved in sense-making processes, this study…

Automated essay scoring is a developing technology that can provide efficient scoring of large numbers of written responses. Its use in higher education admissions testing provides an opportunity to collect validity and fairness evidence to support current uses and inform its emergence in other areas such as K-12 large-scale assessment. In this…