This paper argues that engaging students in informal statistical reasoning from early school years is essential for the development of statistical understanding. We investigated if and how children aged six-seven years old identified variation in a table of data and made predictions through the design of a teaching experiment. The classroom…

Machine learning models were constructed to predict student performance in an introductory mechanics class at a large land-grant university in the United States using data from 2061 students. Students were classified as either being at risk of failing the course (earning a D or F) or not at risk (earning an A, B, or C). The models focused on…

We propose a novel model, Wide & Deep Item Response Theory (Wide & Deep IRT), to predict the correctness of students' responses to questions using historical clickstream data. This model combines the strengths of conventional Item Response Theory (IRT) models and Wide & Deep Learning for Recommender Systems. By leveraging clickstream…

Adolescents with attention-deficit/hyperactivity disorder (ADHD) are at heightened risk of experiencing academic difficulties due to organizational deficits. Impairment can be exacerbated through poor sleep hygiene and excessive daytime sleepiness, prevalent sleep challenges for adolescents with ADHD. Given established relationships among sleep,…

The present investigation examined the role of teachers' instructional support (student reports of relevance, organization and clarity, feedback-feedforward) in predicting students' growth goal setting and, in turn, the roles of instructional support and growth goal setting in predicting students' academic engagement (perseverance, aspirations,…

Prior research shows that when parents monitor, check, and assist in completing homework without an invitation, their children's motivation and academic achievement often decline. We propose that intrusive support from parents might also send the message that children are incompetent, especially if they believe their intelligence is fixed. We…

This study quantified the possible learning losses in reading and math skills among a sample of Finnish Grade 3 children (n = 198) who spent 8 weeks in distance learning during the first wave of the COVID-19 pandemic in spring 2020. We compared their reading and math skill development trajectories across Grades 1, 2, and 4 to a pre-COVID sample (N…

Homework has been associated with a range of academic and cognitive benefits for secondary students. Research has also revealed that students' homework behaviours can vary with demographic traits. An important factor that may account for some of this variation is the role played by teachers and schools in homework allocation. It is hypothesised…