Background: We examined the influence of text and reader characteristics on sixth graders' inference generation. Methods: Eleven- to 12-year-old US monolingual English speakers (N = 71) and Spanish-English bilinguals (N = 81) read narrative and informational expository texts requiring an inference and answered an inference-tapping question after…

Protecting research integrity is crucial for maintaining trust in the scholarly record. Historically, threats to research integrity stemmed from deliberate human actions, such as data manipulation and misrepresentation. Generative artificial intelligence (GAI) is increasingly prevalent in higher education and is capable of generating research data…

This article reports a qualitative action research study regarding the influence of strategies that may be used in oral conversation to avoid communication breakdowns. After analyzing college students' performance in English as a Foreign Language (EFL) classes, the problem was that many adult learners exhibited poor oral English communication…

Competence-based test development (CbTD) is a novel method for constructing tests that are as informative as possible about the competence state (the set of skills an individual masters) underlying the item responses. If desired, the tests can also be minimal, meaning that no item can be eliminated without reducing their informativeness. To…

As generative AI tools like ChatGPT become increasingly integrated into academic settings, understanding students' perspectives is critical--particularly in underrepresented regions such as Lebanon and Palestine. A mixed-methods approach using survey data and thematic analysis of in-depth interviews was employed to analyze students' perceived…

This article examines how health education teacher preparation programs can prepare future educators to use artificial intelligence (AI) in responsible and effective ways. It begins with a brief overview of the use of AI in education, considering the growing impact of generative AI technologies on teaching and learning. The article outlines…

This research explores the direct and indirect effects of vocabulary, word reading and metalinguistic competence on reading comprehension in Spanish primary school students, considering non-verbal intelligence. A Multiple Indicator Multiple Causal Model (MIMIC) is analysed to explore the direct and indirect effects of the variables on reading…

The emergence of Large Language Models (LLMs) has marked a significant change in education. The appearance of these LLMs and their associated chatbots has yielded several advantages for both students and educators, including their use as teaching assistants for content creation or summarisation. This paper aims to evaluate the capacity of LLMs…

Background: Standardised Mandarin assessment tools for examining difficulties in language comprehension and expression at different developmental stages are limited in China. The first comprehensive standardised Mandarin assessment tool is the Diagnostic Receptive and Expressive Assessment of Mandarin-Comprehensive (DREAM-C), which is normed for…

Background: Despite the growing adoption of AI tools, few empirical studies have comprehensively examined students' familiarity, perceived benefits and challenges, and demographic factors such as gender, age, and academic level. This study aims to explore the familiarity, usage, perceived benefits and challenges, and how demographic factors…

Autism spectrum disorder (ASD) and ASD symptoms are overrepresented among gender-diverse youth across studies. Gender-diverse and ASD youth are at risk for anxiety, but anxiety is unclear among gender-diverse youth with ASD. The Social Communication Questionnaire (SCQ) is a commonly used ASD screener, including in multidisciplinary…

Machine translation (MT) is the automated process of translating text between different languages, encompassing a wide range of language pairs. This study focuses on non-professional bilingual speakers of Turkish and English, aiming to assess their ability to discern accuracy in machine translations and their preferences regarding MT. A particular…

Self-regulated learning (SRL) is crucial for successful lifelong learning and an important educational goal. For students to develop SRL skills, they need appropriate SRL support from teachers in the classroom. Teachers, who are aware of their students' strengths and weaknesses in SRL, can promote SRL more adaptively. This requires teachers to…

Purpose: The finite verb morphology composite (FVMC) is a valid measure for charting children's tense development and for differentiating children with and without language impairment during preschool and early elementary years. However, it is unclear whether FVMC scores vary as a function of language sample elicitation contexts. The current study…

The proliferation of digital information technologies has underscored the heightened necessity for online information search. This study is directed towards the analysis of the strategies adopted by prospective teachers in the selection of digital content employed for accessing information, their preferences concerning the use of digital and…