Individuals differ in their ability to perceive and learn unfamiliar speech sounds, but we lack a comprehensive theoretical account that predicts individual differences in this skill. Predominant theories largely attribute difficulties of non-native speech perception to the relationships between non-native speech sounds/contrasts and…

The purpose of the study is to validate the 54-item Fitness Switching Costs Scale (FSCS). The FSCS consists of a third-order formative construct with four second-order formative constructs and 11 first-order reflective constructs. Although there was support for the reliability and validity of higher-order constructs, validity of the 11 first-order…

We present a privacy-friendly early-detection framework to identify students at risk of failing in introductory programming courses at university. The framework was validated for two different courses with annual editions taken by higher education students (N = 2 080) and was found to be highly accurate and robust against variation in course…

Background: Previous studies have shown that undergraduates improve their answering and monitoring accuracy when they exclusively practice and expect inferential questions after reading. This study examined whether children with poor comprehension, who struggle particularly with inferential questions, would benefit from similar practice with and…

False memories are well established episodic memory phenomena. Recent research in young adults has shown that semantically related associates can be falsely remembered as studied items in working memory (WM) tasks for lists of only a few items when a short 4-second interval was given between study and test. The present study reported two…

Although the link between developmental dyslexia and visual-spatial deficit has been recurrently highlighted, the relationship between visual-spatial abilities and reading performance is still a controversial issue, considering the orthographic variability of the language being learned. This study aimed to examine whether visuo-spatial abilities…

The release of ChatGPT marked the beginning of a new era of AI-assisted plagiarism that disrupts traditional assessment practices in ESL composition. In the face of this challenge, educators are left with little guidance in controlling AI-assisted plagiarism, especially when conventional methods fail to detect AI-generated texts. One approach to…

Randomized A/B tests within online learning platforms represent an exciting direction in learning sciences. With minimal assumptions, they allow causal effect estimation without confounding bias and exact statistical inference even in small samples. However, often experimental samples and/or treatment effects are small, A/B tests are underpowered,…

AI chatbots shook the world not long ago with their potential to revolutionize education systems in a myriad of ways. AI chatbots can provide immediate support by answering questions, offering explanations, and providing additional resources. Chatbots can also act as virtual teaching assistants, supporting educators through various means. In this…

Increasing student engagement with the social practices of science (i.e., communication, collaboration, and critique) is a goal throughout K-16 science education and provides an opportunity for science educators to leverage student discourse to optimize learning. Yet how instructors can encourage forms of discourse which predict increased…

It is considerably harder to generalize identity across different pictures of unfamiliar faces, compared with familiar faces. This finding hints strongly at qualitatively distinct processing of unfamiliar face stimuli--for which we have less expertise. Yet, the extent to which face selective versus generic visual processes drive outcomes during…

Guided by self-determination theory to design an authentic learning environment, we attempted repeated engagement in critical evaluation of evidence to foster accuracy-oriented reasoning and critical thinking in an applied science course for non-STEM undergraduates taught completely online during a 6-week summer term and a 16-week fall term.…

The proliferation of large language models represents a paradigm shift in the landscape of automated essay scoring (AES) systems, fundamentally elevating their accuracy and efficacy. This study presents an extensive examination of large language models, with a particular emphasis on the transformative influence of transformer-based models, such as…

This study investigates the grammatical skills of typically developing Oromo-speaking preschool-age children and lays the foundation for a language assessment tool for Oromo, a Cushitic language spoken in Ethiopia. The current study used a standard picture-based elicitation task that evaluated children's accuracy in producing grammatical…

Purpose: This study will evaluate the organizational effectiveness of an artificial intelligence (AI)/machine learning (ML) recommender system at a higher education institution. It will determine the positive or negative net benefits (i.e., organizational effectiveness) of utilizing the D&M ISSM. Background: Identifying the value and efficacy…