Integrating artificial intelligence (AI) technologies into various educational domains has garnered significant attention. Among these technologies, ChatGPT stands out as a powerful tool that holds the potential to revolutionize the landscape of mathematics education. This study aims to explore the emerging trends and critical issues surrounding…

Generative AI (GenAI) is transforming higher education. It has already challenged the validity of traditional assessment methods and revealed concerns about the authenticity and reliability of conventional approaches. This opinion piece proposes an expanded theoretical framework for contextual learning, incorporating practical, situational,…

This systematic review aims to explore how task complexity and task sequencing affect the complexity, accuracy, and fluency (CAF) of second language performance. Through an analysis of studies conducted between 2012 and 2021, this review investigates the characteristics of the studies, operationalisation of task complexity, measurements of CAF,…

Previous research has investigated the Spatial Numerical Associations of Response Codes (SNARC) effect as a measure of spatial number coding in relation to mathematics (Cipora et al., 2020, https://doi.org/10.1111/nyas.14355). An issue that arises if one wants to correlate mathematical performance with the SNARC effect, is how individual…

This research investigates the use of artificial intelligence (AI) tools by Indonesian EFL learners to enhance their presentation skills through self-regulated learning. With the rapid advancement of AI technologies, their integration into educational practices has become increasingly significant, particularly in developing essential skills like…

The impact of cognitive biases, particularly biased self-assessment, on learning outcomes and decision-making in higher education is of great significance. This study delves into the confluence of cognitive biases and user experience in spreadsheet programming as a crucial IT skill across various academic disciplines. Through a quantitative…

Background/purpose: Artificial intelligence, namely ChatGPT, has garnered significant interest in language education due to its potential to enhance instruction and learning. Three primary topics are highlighted in this study's analysis of recent research on ChatGPT's use in language instruction: Reflection on instruction, instructor feedback, and…

Estimating astronomical scales requires multiple complex mental processes, such as spatial thinking and interpreting large numbers. As such, it is a nontrivial question how these estimates can be most efficiently assessed. There is reason to believe that results from previous studies probing astronomical scale estimates are possibly susceptible to…

The pursuit of a master's degree is a significant academic endeavor, one that is influenced by a complex interplay of factors extending beyond traditional academic performance. In this study, we estimate the determinants of timely master's degree completion (i.e., within 3 years) using modern machine learning models such as random forest, decision…

This research on the accurate teaching of college English aims to meet the challenges and opportunities faced by college English education under the background of globalization. The paper explores the application effect of a learning diagnosis system based on big data in college English precision teaching. The system can accurately identify…

Background/purpose: The incorporation of generative artificial intelligence (AI) into higher education is transforming competency-based learning by enabling adaptive, interactive, and immersive environments. This study aimed to design and evaluate an innovation mechanism that integrates AI agents with 3D interfaces, focusing not only on technical…

Purpose: This study aims (a) to assess the psychometric properties of a French adaptation of the Assessment of Pragmatic Abilities and Cognitive Substrates (APACS-Fr), a comprehensive test of pragmatic abilities for French-speaking adolescents and adults, and (b) to use it to study lifespan variations in pragmatic abilities, to determine when…

Clinical Question: For young AAE speakers (P), how useful is the Developmental Sentence Scoring (DSS) compared with Index of Productive Syntax (IPSyn) in identifying developmental language disorder (DLD) in the presence of African American English (AAE)? Method: Structured Review. Study Sources: PsycInfo®, Education Source, Education Resources…

Recent research has stated that early oral language acquisition difficulties are related to reading and writing difficulties. Children with developmental language disorder (DLD) experience difficulties with several dimensions of language. In this study we focus on the specific difficulties of children with DLD in spelling. We examine the impact of…

Accurate teacher judgements can enhance pupils' learning about science and technology. This study explored primary school teachers' judgements about their pupils' ability to reconstruct an electrical and a mechanical system. The judgement accuracy of most teachers was poor, gender-biased, and underestimation was more common than overestimation.…