Oral explanations (OE) by teachers are one of the most common forms of communication in the classroom to support students' comprehension of subject-specific content. Thus, students have to deal with the language the teachers use in explanations. Research indicates that linguistic features (LF) of texts can influence students' comprehension as they…

The project-based learning model via generative artificial intelligence, or PjBL model via Gen-AI, is a research tool that was initiated based on the concept of project-based learning management focusing mainly on self-directed learning, in which learners are able to learn and practice through the projects they are interested in as to their…

In many general education classrooms across the world, educators struggle to meet the educational needs of twice-exceptional and multi-exceptional neurodivergent learners, with their confluence of exceptional strengths and exceptional challenges. This article reports the process, findings, and implications of research that implemented a series of…

Religious practice plays a vital role in many lives, yet the experiences of individuals with intellectual and/or developmental disabilities (IDD) remain understudied. This mixed methods study explored spiritual engagement among young adults with IDD living in a religious hostel and their mentors. Data analysis included content coding, word clouds,…

Recent advances in AI have opened the door for the automated scoring of open-ended math problems, which were previously much more difficult to assess at scale. However, we know that biases still remain in some of these algorithms. For example, recent research on the automated scoring of student essays has shown that certain varieties of English…

This study expands on the practical application of the critical role of auditory processing in the rate of naturalistic L2 speech acquisition. In Study 1, the prosodic production of English by 46 Chinese college students was tracked over a five-month study abroad program in the UK. Learners with extensive L2 input opportunities demonstrated…

Open-text responses provide researchers and educators with rich, nuanced insights that multiple-choice questions cannot capture. When reliably assessed, such responses have the potential to enhance teaching and learning. However, scaling and consistently capturing these nuances remain significant challenges, limiting the widespread use of…

Quantifier spreading (Q-spreading), children's incorrect falsification of a universally-quantified sentence based on an 'extra-object' picture, may persist beyond childhood, and children adhere to Q-spreading without changing responses throughout testing. We examined the error patterns across wider age groups (aged 4-79) with a picture-sentence…

The purpose of this mixed-methods study was to investigate how generative AI tools, particularly ChatGPT, impact preservice teachers' lesson plans and attitudes toward mathematics. Fifty-five undergraduate students who were enrolled in their first semester of a teacher education program participated in the study. Each student created two lesson…

This article presents an empirical study investigating the ability of ChatGPT to translate religious texts involved in academic writing. Specifically, religious texts are not easy to translate even for human proficient translators. Three Arabic academic abstracts, religion-oriented, were involved in our study taken from AlQalam Journal which is…

As modern vehicles continue to integrate increasingly sophisticated Advanced Driver Assistance Systems (ADAS) and Autonomous Vehicles (AV) functions, conventional user manuals may no longer be the most effective medium for conveying knowledge to drivers. This research analysed conventional, paper and video-based instructional methods versus a…

Intelligent tutoring systems are increasingly used in schools, providing teachers with valuable analytics on student learning. However, many teachers lack the time to review these reports in detail due to heavy workloads, and some face challenges with data literacy. This project investigates the use of large language models (LLMs) to generate…

Background: In everyday communication, word retrieval is semantically driven. A similar processing mechanism can be assumed for category fluency tasks. In contrast, in phonemic fluency tasks or rhyme production, the retrieval process must be based on the word form. In phonemic fluency, executive and language functions have been discussed as…

Background: Artificial intelligence (AI) is rapidly transforming various aspects of society, raising both opportunities and challenges. As its presence expands, understanding its implications and effective use becomes increasingly important. Objective: This article aims to examine the current applications, potential, and implications of AI, with a…

In measurement and evaluation processes, natural language responses are often avoided due to time, workload, and reliability concerns. However, the increasing popularity of automatic short-answer grading studies for natural language responses means such answers can now be measured more quickly and reliably. This study aims to build models for…