Automated Essay Scoring (AES) using neural networks has helped increase the accuracy and efficiency of scoring students' written tasks. Generally, the improved accuracy of neural network approaches has been attributed to the use of modern word embedding techniques. However, which word embedding techniques produce higher accuracy in AES systems…

The present study uses event-related potentials (ERPs) to examine nonlocal agreement processing between native (L1) English speakers and Chinese-English second language (L2) learners, whose L1 lacks number agreement. We manipulated number marking with determiners ("the" vs. "that"/"these") to see how…

An investigation is presented through the processing of natural language and text analysis found in the abstracts of the educational publication Profundidad of the Faculty of Administrative and Economic Sciences at the Universidad Francisco de Paula Santander Ocaña. The indicators analysed are magnitude, year of publication, importance weighting…

What is the processing cost of being garden-pathed by a temporary syntactic ambiguity? We argue that comparing average reading times in garden-path versus non-garden-path sentences is not enough to answer this question. Trial-level contaminants such as inattention, the fact that garden pathing may occur non-deterministically in the ambiguous…

Modeling reading comprehension processes is a critical task for Learning Analytics, as accurate models of the reading process can be used to match students to texts, identify appropriate interventions, and predict learning outcomes. This paper introduces an improved version of the Automated Model of Comprehension, namely version 4.0. AMoC has its…

When acquiring the English plural, children correctly produce plural words long before they develop an understanding of morphological structure. When acquiring Sesotho noun prefixes, children are aware of the multiple constraints governing variation from a young age. Both of these cases raise questions about the Shin and Miller (2022) account of…

This study used a correlational design and a path analytic approach to investigate direct and indirect relationships between strategic backtracking and integrated text understanding when undergraduates read a digital informational text on a tablet or a smartphone. In digital reading contexts, strategic backtracking involves that readers…

We studied the role of discourse coherence relations on structure formulation in sentence production by examining whether a connective, an essential signal of coherence relations, modulates the tendency for speakers to reuse sentence structures (i.e., structural priming). We further examined three possible modulating factors: the type of…

Producing written texts is a non-linear process: in contrast to speech, writers are free to change already written text at any place at any point in time. Linguistic considerations are likely to play an important role, but so far, no linguistic models of the writing process exist. We present an approach for the analysis of writing processes with a…

The study examined the role of Chinese-Japanese cognate awareness in Japanese vocabulary acquisition among college Chinese learners of Japanese. Thirty-seven college-level students participated in this study and they completed a bilingual cognate awareness test which covered both crosslinguistic similarities and differences. In addition,…

Letter knowledge and word identification are key skills for reading and spelling. Letter knowledge facilitates the application of sublexical letter-sound mappings to decode words. With reading experience, word identification becomes a key lexical skill to support decoding. In transparent orthographies, however, letter knowledge might be an…

Speakers display considerable variability in language use and representations: they may have different pronunciations of the same word, different intended meanings for the same phrases, and different sets of syntactic constraints in their internalized grammars. Comprehenders adapt to such variability by constantly updating their expectations for…

This dissertation explores the role of memory in language processing, and specifically how interference during lexical encoding can result in downstream interference during retrieval. The dissertation merges insights from both the sentence processing literature as well as the study of memory in non-sentential contexts and focuses on two factors…

Artificial Intelligence (AI), as an innovation in technology, has greatly affected human life. AI applications such as ChatGPT have been used in different fields, particularly education. However, the use of AI applications to enhance undergraduate students' academic emotions and test anxiety has not been appropriately investigated. This study…

This article presents a research investigation focusing on the effects of ChatGPT utilization on sustainable education and development. The study employed five machine learning (XGBoost, RF, SVM, GBDT, and ANN) models for predicting the impacts of ChatGPT usage in education, aiming at identifying the potential benefits of ChatGPT usage on…