Inefficient targeting of students at risk of dropping out might explain why dropout-reducing efforts often have no or mixed effects. In this study, we present a new method which uses a series of machine learning algorithms to efficiently identify students at risk and makes the sensitivity/precision trade-off inherent in targeting students for…

The use of the algebraic method for solving word problems is a challenging topic for secondary school students. Students' difficulties are usually associated with extracting the problem's network of relationships between quantities and with formalizing these relationships into algebraic language in a problem model. Both sources can coexist and…

We investigated whether and to what extent different scoring instructions, timing conditions, and direct feedback affect performance and speed. An experimental study manipulating these factors was designed to address these research questions. According to the factorial design, participants were randomly assigned to one of twelve study conditions.…

Children with ADHD show deficits in executive functioning, especially the ability to inhibit inadequate responses, and deficits in motivational processes due to dopaminergic dysfunctions. There is evidence that rewards can foster inhibition in children with ADHD. However, most studies examined a wide age range of children above 7 years of age, so…

Progress monitoring using curriculum-based measures administered to a student at multiple points in time is common in educational settings. Recent research has demonstrated that common approaches to identifying individuals in need of special services, such as the trend line or median techniques, can be negatively impacted by the nonlinear change…

In light of the known visuoperceptual strengths and altered language skills in autism, we investigated the impact of problem content (semantic/visuospatial) combined with complexity and presence of lures on fluid reasoning in 43 autistic and 41 typical children (6-13 years old). Increased complexity and presence of lures diminished performance,…

Students' academic performance prediction is one of the most important applications of Educational Data Mining (EDM) that helps to improve the quality of the education process. The attainment of student outcomes in an Outcome-based Education (OBE) system adds invaluable rewards to facilitate corrective measures to the learning processes.…

This article reports on a study in which third-grade students (8-9 years) were given a degree of agency in conducting chance experiments and representing the outcomes. Students chose their own samples of 12 coloured counters, ensuring all colours were represented. They predicted the outcomes of item selection, tested their predictions, explained…

Processing rational numbers is difficult for many children. The natural number bias is one possible explanation for why children struggle with rational numbers. It refers to the tendency to overgeneralize the properties of natural numbers. In this study, it is argued that in order to be successful in rational number tasks, individuals need to…

Purpose: Previous studies have shown that individuals who stutter exhibit abnormal speech perception in addition to disfluent production as compared with their nonstuttering peers. This study investigated whether adult Chinese-speaking stutterers are still able to use knowledge of statistical regularities embedded in their native language to…

Knowing what one knows and accurately monitoring one's own capacities and performance on a moment-to-moment basis are important determinants of task success. Individual differences in such metacognitive monitoring are well documented, but what determines an individual's monitoring accuracy in a particular context is yet to be fully understood. One…

It is widely recognized that individuals with dyslexia have difficulties with word reading "and" spelling, and individuals with reading comprehension difficulties have low vocabulary knowledge. However, little is known about the extent to which spelling and vocabulary are informative of reading difficulties. In the present study, we…

This study investigates whether (a) Cantonese and (b) English listeners integrally or independently perceive Thai tone and segmental information. Listeners completed a modified AX discrimination task that contained a control block (without segmental variation) and an orthogonal block (with segmental variation). Relative to their own performance in…

Language sample analysis (LSA) represents a venerated and ecologically valid method for diagnosing, identifying goals, and measuring progress in children with developmental language disorder (DLD). With many LSA measures available, previous research offers limited guidance on which measures should be prioritized based on their robust reliability,…

Analysis of learning behavior of MOOC enthusiasts has become a posed challenge in the Learning Analytics field, which is especially related to video lecture data, since most learners watch the same online lecture videos. It helps to conduct a comprehensive analysis of such behaviors and explore various learning patterns for learners and predict…