This study addresses the role of domain-general mechanisms in second-language learning and knowledge using an individual differences approach. We examine the predictive validity of implicit-statistical learning aptitude for implicit second-language knowledge. Participants (n = 131) completed a battery of four aptitude measures and nine grammar…

Learnersourcing is emerging as a viable approach for mobilizing the learner community and harnessing the intelligence of learners as creators of learning resources. Previous works have demonstrated that the quality of resources developed by students is quite diverse with some resources meeting rigorous judgmental criteria, whereas other resources…

Large-scale assessments such as the Programme for International Student Assessment (PISA) have field trials where new survey features are tested for utility in the main survey. Because of resource constraints, there is a trade-off between how much of the sample can be used to test new survey features and how much can be used for the initial item…

In conversation, production and comprehension processes may overlap, causing interference. In 3 experiments, we investigated whether repetition priming can work as a supporting device, reducing costs associated with linguistic dual-tasking. Experiment 1 established the rate of decay of repetition priming from spoken words to picture naming for…

Knowledge tracing algorithms such as Bayesian Knowledge Tracing (BKT) can provide students and teachers with helpful information about their progress towards learning objectives. Despite the popularity of BKT in the research community, the algorithm is not widely adopted in educational practice. This may be due to skepticism from users and…

Digitalization and automation of test administration, score reporting, and feedback provision have the potential to benefit large-scale and formative assessments. Many studies on automated essay scoring (AES) and feedback generation systems were published in the last decade, but few connected AES and feedback generation within a unified framework.…

For assessment professionals who are also automated scoring (AS) professionals, there is no single set of standards of best practice. This paper reviews the assessment and AS literature to identify key standards of best practice and ethical behavior for AS professionals and codifies those standards in a single resource. Having a unified set of AS…

Children's ability to discriminate nonsymbolic number (e.g. the number of items in a set) is a commonly studied predictor of later math skills. Number discrimination improves throughout development, but what drives this improvement is unclear. Competing theories suggest it may be due to a sharpening numerical representation or an improved ability…

Presenting novel numbers about climate change to people after they estimate those numbers can shift their attitudes and scientific conceptions. Prior research suggests that such science learning can be supported by encouraging learners to make use of given benchmark information, however there are several other numerical estimation skills that may…

The linguistic relativity hypothesis has focused on the influence of grammar in language on speakers' cognition. Previous studies show that speakers of languages with grammatical number (e.g., English) are more aware of the number of objects. Additionally, recent studies reveal that bilinguals who speak languages with different grammatical…

The current study investigates how second language (L2) learners' metacognition integrates practice strategies in self-regulated learning to develop speaking abilities. A Metacognitive Practice Speaking Strategy (MPSS) model was developed to explore specific configurations of metacognitive knowledge, metacognitive strategies, and practice…

As the U.S. government enforces a ban on TikTok, many users are seeking alternative platforms, creating unprecedented opportunities for Chinese social media applications, particularly platforms like Xiaohongshu (RedNote). These platforms have seen a significant increase in downloads in the U.S. market, showcasing the global potential of Chinese…

The characteristic curve methods have been applied to estimate the equating coefficients in test equating under the graded response model (GRM). However, the approaches for obtaining the standard errors for the estimates of these coefficients have not been developed and examined. In this study, the delta method was applied to derive the…

Two experiments are presented that use tasks common in research in numerical cognition with young adults and older adults as subjects. In these tasks, one or two arrays of dots are displayed, and subjects decide whether there are more or fewer dots of one kind than another. Results show that older adults, relative to young adults, tend to rely…

Traditional self-injurious behavior (SIB) management can place compliance demands on the caregiver and have low ecological validity and accuracy. To support an SIB monitoring system for autism spectrum disorder (ASD), we evaluated machine learning methods for detecting and distinguishing diverse SIB types. SIB episodes were captured with body-worn…