Automatic essay scoring (AES) is an essential educational application in natural language processing. This automated process will alleviate the burden by increasing the reliability and consistency of the assessment. With the advances in text embedding libraries and neural network models, AES systems achieved good results in terms of accuracy.…

Manually scoring and revising student essays has long been a time-consuming task for educators. With the rise of natural language processing techniques, automated essay scoring (AES) and automated essay revising (AER) have emerged to alleviate this burden. However, current AES and AER models require large amounts of training data and lack…

E-learning systems are transforming the educational sector and making education more affordable and accessible. Recently, many e-learning systems have been equipped with advanced technologies that facilitate the roles of educators and increase the efficiency of teaching and learning. One such technology is Automatic Essay Grading (AEG) or…

In this work, we explore the use of digital technologies and statistical analysis to monitor how Italian secondary school students' writing changes over time and how comparisons can be made across different high school types. We analyzed more than 2,000 exam essays written by Italian high school students over 13 years and in five different school…

This study explores using transfer learning in machine learning for natural language processing (NLP) to create generic automated essay scoring (AES) models, providing instant online scoring for statewide writing assessments in K-12 education. The goal is to develop an instant online scorer that is generalizable to any prompt, addressing the…

This dissertation uses the Conceptual Blending Hypothesis from the socio-cognitive method presented and refined by Kecskes (2002, 2004, 2007, 2010, 2020) to explain how the lexical choice of bilinguals differs across sociocultural situations. Quantitative (lexical density, lexical diversity, and lexical sophistication) and qualitative (lexical…

Ambiguity in discourse is pervasive, yet mechanisms of production and processing suggest that it tends to be compensated in context. The present study sets out to analyze the combination of discourse markers (such as "but" or "moreover") with other discourse signals (such as semantic relations or punctuation marks) across three…

This study examined how machine learning and natural language processing (NLP) techniques can be leveraged to assess the interpretive behavior that is required for successful literary text comprehension. We compared the accuracy of seven different machine learning classification algorithms in predicting human ratings of student essays about…

This study examined how machine learning and natural language processing (NLP) techniques can be leveraged to assess the interpretive behavior that is required for successful literary text comprehension. We compared the accuracy of seven different machine learning classification algorithms in predicting human ratings of student essays about…

Over the last decade, psychological interventions, such as the values affirmation intervention, have been shown to alleviate the male-female performance difference when delivered in the classroom, however, attempts to scale the intervention are less successful. This study provides unique evidence on this issue by reporting the observed differences…

Translation graduates need organisational skills to be able to cooperate in translation service production workflows. This paper explores the development of translation students' workflow conceptions in a simulated translation company learning environment. Using the standard ISO 17100 as a frame of reference for a content analysis of student…

This study investigated the impact of anonymizing text on predicted scores made by two kinds of automated scoring engines: one that incorporates elements of natural language processing (NLP) and one that does not. Eight data sets (N = 22,029) were used to form both training and test sets in which the scoring engines had access to both text and…

The aim of the present study is to examine experimentally the influence of using lexical chunks on the achievement of second-year-university students of English in the writing fluency. Lexical chunks, as the composites of form, meaning and function, stored and retrieved as a whole in brain, can release the language processing burden and improve…

Thanks to natural language processing technologies, computer programs are actively being used not only for holistic scoring, but also for formative evaluation of writing. CyWrite is one such program that is under development. The program is built upon Second Language Acquisition theories and aims to assist ESL learners in higher education by…

A study compared the writing strategies used by an adolescent in two essays, one in Danish (native language) and one in English (second language), assigned as homework. Analysis of think-aloud protocols focused on four behaviors: commenting; reading aloud; writing; and verbatim verbalizations of text before writing. Analysis found very similar…