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…

This research aimed to develop and validate a rubric to assess Artificial Intelligence (AI) chatbots' effectiveness in accomplishing tasks, particularly within educational contexts. Given the rapidly growing integration of AI in various sectors, including education, a systematic and robust tool for evaluating AI chatbot performance is essential.…

We used a novel linguistic training paradigm to investigate the experience-dependent acquisition, representation, and processing of novel emotional and neutral abstract concepts. Participants engaged in mental imagery (n = 32) or lexico-semantic rephrasing (n = 34) of linguistic material during five training sessions and successfully learned the…

Individualized learning support is an essential part of formal educational learning processes. However, in typical large-scale educational settings, resource constraints result in limited interaction among students, teaching assistants, and lecturers. Due to this, learning success in those settings may suffer. Inspired by current technological…

This emerging technology report delves into the role of ChatGPT, an OpenAI conversational AI, in language learning. The initial section introduces ChatGPT's nature and highlights its features, including accessibility, personalization, immersive learning, and instant feedback, which render it a valuable asset for language learners and educators…