This study applies the Apriori algorithm to analyse patterns, syntactic structures, and thematic clusters in Chinese studies data from various genres. This study aims to identify recurring linguistic elements in order to shed light on the dynamic nature of the Chinese language across different contexts and time periods. The Apriori algorithm is…

In this paper we describe a framework for teaching students when they should, or should not use generative AI such as ChatGPT. Generative AI has created a fundamental shift in how students can complete their class assignments, and other tasks such as building resumes and creating cover letters, and we believe it is imperative that we teach…

Background: Speech development requires intact and adequately functioning oral anatomy and cognitive 'speech processing' skills. There is evidence that speech input processing skills are associated with speech output problems in children not born with a cleft. Children born with cleft palate ± lip (CP±L) are at high risk of developing disordered…

A challenge for listeners is to learn the appropriate mapping between acoustics and phonetic categories for an individual talker. Lexically guided perceptual learning (LGPL) studies have shown that listeners can leverage lexical knowledge to guide this process. For instance, listeners learn to interpret ambiguous /s/-/[esh]/ blends as /s/ if they…

Knowledge tracing (KT) aims to predict students' future performances based on their former exercises and additional information in educational settings. KT has received significant attention since it facilitates personalized experiences in educational situations. Simultaneously, the autoregressive (AR) modeling on the sequence of former exercises…

This article presents a brief overview of the state-of-the-art in large language models (LLMs) like ChatGPT and discusses the difficulties that these technologies create for educators with regard to assessment. Making use of the 'arms race' metaphor, this article argues that there are no simple solutions to the 'AI problem'. Rather, this author…

Artificial intelligence-driven Chatbots, especially large language models (LLMs) like GPT-4, represent significant progress in digital education. These models excel in mimicking human-like text and transforming learning and teaching methods. This study examines the development, application, and impact of LLMs in education. It highlights their role…

In order to examine whether syntactic processing is a necessary prerequisite for semantic integration in Japanese, cortical activation was monitored while participants engaged in silent reading task. Congruous sentences (CON), semantic violation sentences (V-SEM), and syntactic violation sentences (V-SYN) were presented in the experiment. The…

Purpose: The present study tested parafoveal morphological processing during sentence reading with two eye-tracking experiments, making use of an implicit measurement of morphological awareness. In Chinese and Korean, each character form typically corresponds to multiple mental lexicons, leading to morphological ambiguity. Method: Using the…

Vocabulary plays a significant role in the learning process of English as a Foreign Language (EFL) students, especially undergraduates who need to read academic materials and listen to specialized lectures in English. However, retaining lexical items is still a challenging task for many EFL learners. The current study seeks to examine the…

This paper aims to investigate to what extent preschoolers' narrative speech can be affected by the combined use of five narrative elements: narrative framing, narrative basic structure, intertextual hero, plot subversion and image-text interaction. It presents an intervention aiming to teach these elements to an experimental group of…

An educational customer relationship management (CRM) Chatbot is a learner support service automation tool that enhances the human computer interaction and user experience in higher education institutions through effective online conversation and information exchange. The machine with embedded knowledge is trained to identify the sentences and…

This study investigates how children aged two to eight years (N = 129) and adults (N = 29) use auditory and visual speech for word recognition. The goal was to bridge the gap between apparent successes of visual speech processing in young children in visual-looking tasks, with apparent difficulties of speech processing in older children from…

The core of language disorders in children with autism spectrum disorder (ASD) is the loss of social function in language communication.Futher, the correct use and processing of personal pronouns is the basis of language social function. Therefore, clarifying the mechanism of processing the pronoun reference in children with ASD is a major focus…

The Chinese writing system is different from English in that individual words both comprise one to four characters and are not separated by clear word boundaries (e.g., interword spaces). These differences raise the question of how readers of Chinese know where to move their eyes to support efficient lexical processing? The widely accepted…