Constructing arguments is essential in science subjects like chemistry. For example, students in organic chemistry should learn to argue about the plausibility of competing chemical reactions by including various sources of evidence and justifying the derived information with reasoning. While doing so, students face significant challenges in…

Continuation writing was recently introduced as a new element of China's English as a Foreign Language (EFL) assessment. The assessment task requires students to complete the story within a set word limit. Preparing students for this task is challenging for Chinese EFL teachers, as little pedagogical guidance is supplied. Given the recent trend of…

AI-based simulations for educational and assessment purposes are gaining global recognition. Informed by cultural comparison research, this study investigates cross-country variations in users' utilization and perceptions of a simulation-based assessment. Specifically, we conducted a comparative analysis between a sample of South African and…

This study aims to investigate ChatGPT's ability to comprehend input from nonnative speakers, specifically those learning English as a second language, with Japanese speakers serving as the model population. The experiment examines how ChatGPT evaluates the difficulty levels of the Test of English for International Communication (TOEIC), which is…

Research on academic integrity used to focus more on student character and behaviour. Now this research includes wider viewing of this issue as a current teaching and learning challenge which requires pedagogical intervention. It is now the responsibility of staff and institutions to treat the creation of a learning environment supporting academic…

Despite the growing interest in AI for language assessment, there remains a significant research gap regarding its usefulness for assessing less proficient language skills, particularly those of learners of English as a second or foreign language (S/FL). AI models often prioritize proficient writing, neglecting the intricacies of learner language.…

This article reports on a comparative analysis of two sets of essays, student-discursive essays (SDEs) and ChatGPT-generated discursive essays (ChatGPT-GDEs) on the same essay topic using Coh-Metrix. It focused on three Coh-Metrix indices, lexical density, syntactic complexity, and referential cohesion as the basis for the comparative analysis.…

The application of artificial intelligence (AI) in education is now widespread, and the use of robots in education has demonstrated a positive influence on students' behavior and development. However, the use of emerging technologies usually results in cognitive load, especially for elementary school students whose learning capacity has not yet…

Phonotactics--constraints on the position and combination of speech sounds within syllables--are subject to statistical differences that gradiently affect speaker and listener behavior (e.g., Vitevitch & Luce, 1999). What statistical properties drive the acquisition of such constraints? Because they are naturally highly correlated, previous…

We introduce a set of biologically and computationally motivated design choices for modeling the learning of language, or of other types of sequential, hierarchically structured experience and behavior, and describe an implemented system that conforms to these choices and is capable of unsupervised learning from raw natural-language corpora. Given…

Although many college courses adopt online tools such as Q&A online discussion boards, there is no easy way to measure or evaluate their effect on learning. As a part of supporting instructional assessment of online discussions, we investigate a predictive relation between characteristics of discussion contributions and student performance.…

The goal of this paper is to explore the ramifications of a nontraditional view of cognition and social interaction for the study of grammatical structure. (Contains 77 references.) (JL)

This document presents a study of natural language understanding of computer programs. In the study, the performance of IRUS, a natural language query system designed to interface with a database, was compared with the performance of preschool and early elementary school children in answering questions about a specific database. Questions used in…

This sourcebook is intended to provide researchers and users of natural language computer systems with a classification scheme to describe language-related problems associated with such systems. Methods from the disciplines of artificial intelligence (AI), education, linguistics, psychology, anthropology, and psychometrics were applied in an…

A signature tree is a binary decision tree used to classify unknown patterns. An attempt was made to develop a computer program for manipulating signature trees as a general research tool for exploring machine learning and pattern recognition. The program was applied to the problem of speech recognition to test its effectiveness for a specific…