Predicting learning and human behavior in general is a challenging endeavor. Machine learning driven predictive modeling have been an increasingly popular means to understand disparities in student performance. With more than a handful of approaches to predictive modeling, the current literature of predicting learning is plagued with issues such…

Based on control-value theory (CVT), we examined longitudinal relations between students' control and value appraisals, three activity-related achievement emotions (enjoyment, anger, and boredom), and math achievement (N = 1,716 fifth and seventh grade students). We assessed appraisals and emotions with self-report measures of perceived competence…

With the increasing use of Artificial Intelligence (AI) technologies in education, the number of published studies in the field has increased. However, no large-scale reviews have been conducted to comprehensively investigate the various aspects of this field. Based on 4,519 publications from 2000 to 2019, we attempt to fill this gap and identify…

We analyze a natural experiment in which policymakers in Pennsylvania first implemented, and later removed, reimbursements to districts for students exiting to brick and mortar and cyber charter schools. Generalized difference-in-difference models show that larger shares of students enrolling in charter schools predict decrements in spending,…

The aim of this study; is to examine the critical thinking dispositions and achievement goal orientations of university students in terms of various variables, and to determine the predictive level of students' critical thinking dispositions on their achievement goal orientations. The sample of the research consists of 785 (333 female, 452 male)…

Students can only benefit from teacher feedback if they recognise its value for learning. However, there is still a lack of research to investigate the factors influencing students' perceptions of the value of teacher feedback in the context of learning English as a foreign language. This study investigated the impacts of two significant…

The number one plays a special role in mathematics because it is the identity element in multiplication and division. The present findings, however, indicate that many middle school students do not demonstrate mathematical flexibility representing one as a fraction. Despite possessing explicit knowledge of fraction forms of one (e.g., 95% of…

The study examined parents' involvement (PI) and students' academic performance (SAP) in Ryakasinga Centre for Higher Education (RCHE)-Sheema district-Uganda. The objectives were to examine the effect of parenting, learning at home, and volunteering on students' academic performance in RCHE. The study was underpinned by Systems theory. The sample…

The use of online literacy applications is proliferating in elementary classrooms. Using data generated by these applications is assumed to be helpful for teachers to identify struggling readers. Unfortunately, many teachers are unsure how to use and interpret the plethora of data from these apps. In this longitudinal study, we followed a cohort…

The purpose of this study was to determine whether empathy is capable of mediating the relationship between perceived parental support and juvenile delinquency. This hypothesis was tested in a path analysis of 3,865 (51% male) Australian schoolchildren (mean age = 12.4 years at first wave) using three waves of data with two years between each…

"Learning by doing" involves completing a practice activity through the method of inquiry. This study combined the predict-observe-explain (POE) inquiry method and hands-on doing processes to develop a cycle-mode POED (predict-observe-explain-do) model with an e-learning system to help students complete a practice activity using…

Frequent forced switching between tasks has been shown to reduce switch costs and increase voluntary switch rates. So far, however, the boundary conditions of the influence of forced task switching on voluntary task switching are unknown. Thus, the present study was aimed to test different aspects of generalizability (across items, tasks, and…

In this paper, I discuss undergraduate students' engagement in basic Python programming while solving combinatorial problems. Students solved tasks that were designed to involve programming, and they were encouraged to engage in activities of prediction and reflection. I provide data from two paired teaching experiments, and I outline how the task…

Although research has established that school adjustment is associated with marijuana use (MU) in adolescence, few studies have tested these associations bidirectionally. Using random intercepts cross-lagged panel modeling, this study examined reciprocal associations between MU and school adjustment across 8th to 10th grade, including the…

Tasks for teaching predictive modelling and APIs often require learners to use code-driven tools. Minimal research, however, exists about the design of tasks that support the introduction of high school students and teachers to these new statistical and computational methods. Using a design-based research approach, a web-based task was developed.…