Background: Natural language processing (NLP) and machine learning technologies offer significant advantages, such as facilitating the delivery of reflective feedback in collaborative learning environments while minimising technical constraints for educators related to time and location. Recently, scholars' interest in reflective feedback has…

Background/purpose: This study aims to examine the impact of prospective mathematics teachers' metacognitive awareness on their perceptions and applications of ChatGPT in problem-solving processes. The research investigates how these prospective mathematics teachers perceive and utilize ChatGPT, focusing on the relationship between their…

In education, the integration of artificial intelligence (AI) has presented opportunities to transform the dynamics of online learning. This study investigated the impact of an AI-powered application, namely ChatGPT, on the autonomy of Saudi Arabian primary students participating in online classes. It also explored how the implementation of Chat…

This work explores the integration of artificial intelligence (AI) custom chatbots in educational settings, with a particular focus on their applicability in the context of mathematics and physics. In view of the increasing deployment of AI tools such as ChatGPT in educational contexts, the present study explores their potential in generating…

The most recent studies on the acquisition of evidentiality, be it morphologically or syntactically encoded, have argued that the comprehension lag detected is due to factors having to do with others' authority or mental perspective, where "others" stands for other individuals involved in the experiment in various manners (e.g., the…

The aim of this research is to examine the effect of systematic education on the teaching of the text called "The Story of a Book", which is expressed within the scope of the "Our Values" theme in the 4th grade Turkish lesson. The model of the research is mixed method in which pre-test, post-test single-group quasi-experimental…

Recent studies have accumulated to suggest that children, akin to adults, exhibit a processing advantage for formulaic language (e.g. "save energy") over novel language (e.g. "sell energy"), as well as sensitivity to phrase frequencies. The majority of these studies are based on formulaic sequences in their canonical form. In…

The aim of this research is to investigate the educational potential of AI-powered chatbots in Social Studies learning-teaching processes. The study was conducted using embedded design, evaluated within the framework of mixed methods research. The study group consists of 78 6th-grade students studying in three different classes, along with one…

The number of learners seeking to acquire an L2 by means of apps is ever-increasing. This study examined the effectiveness of using the app "Mondly" for the acquisition of L2 English vocabulary while accounting for differences in the acquisition of receptive and productive aspects of word knowledge. Twelve Danish young learners (aged…

The Processability Theory suggests that teachability and learn ability of a language is constrained by what learners are ready to acquire. This means that what is presented to the learners should be in line with their level and readiness. Textbooks are one of the fundamental resources of language learning and teaching, and in this sense, analyzing…

This study investigated the effects of exposure frequency, depth of processing, and activity repetition types on vocabulary learning. In total, 78 South Korean fifth-grade students were divided into four conditions. Students in each condition were asked to read a passage with four of the eight target words (exposure: four times) and the other four…

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…

Machines have a long-demonstrated ability to find statistical relationships between qualities of texts and surface-level linguistic indicators of writing. More recently, unlocked by artificial intelligence, the potential of using machines to identify content-related writing trait criteria has been uncovered. This development is significant,…

While recent studies find that contextual diversity (CD) is a better determinant of visual word recognition than token frequency, there is a dearth of work comparing contextual diversity and token frequency in developing readers. In two sets of character and lexical decision experiments we examined token frequency and contextual diversity effects…

Previous studies have found that phonological processing and vocabulary predict word reading. However, their predictive powers may vary according to reading experience and across scripts with different levels of transparency. In this study, the relationship between phonological processing, decoding, vocabulary and word reading was explored in two…