This study aims to explore longitudinal associations among homework expectancy, mastery-approach, homework effort, and mathematics achievement involving middle school students over one school year. Results indicated that there was support for a positive reciprocal influence of mastery-approach and effort; greater initial mastery-approach resulted…

The research aims to explore the acquisition of Computational Thinking (CT) sub-skills among 5th and 6th grade secondary school students in Turkey through a block-based programming application, code.org. It seeks to understand if mastering these skills is essential for students globally. This study involved seven volunteer students selected…

Executive functioning (EF) deficits, such as challenges with planning, organization, and materials management, negatively impact academic performance, particularly for middle-school students with autism spectrum disorder (ASD) without intellectual disability (ID). The aim was to assess the initial efficacy of the school-based version of the…

Personalized problem selection enhances student practice in tutoring systems. Prior research has focused on transparent problem selection that supports learner control but rarely engages learners in selecting practice materials. We explored how different levels of control (i.e., full AI control, shared control, and full learner control), combined…

Authors evaluated the Student Behavior Checklist-Brief (SBC-B) to test whether teacher-reports of student learning approach (i.e., learned helplessness [LH] and mastery orientation [MO]) were invariant across academic subjects. The current sample includes ethnically diverse seventh and eighth grade students (N = 145; 53 percent male) and six teams…

Executive functioning (EF) deficits, such as challenges with planning, organization, and materials management, negatively impact academic performance, particularly for middle-school students with autism spectrum disorder (ASD) without intellectual disability (ID). The aim was to assess the initial efficacy of the school-based version of the…

The present study investigated multilevel models posited to predict student approaches to homework. Participants were 1,072 middle school students in China. Results revealed that deep and surface approaches were positively associated with performance-approach. Furthermore, deep approach to homework was associated negatively with homework cost, yet…

This study aims at highlighting the relationship between mastery learning models and academic performance in mathematics, moderated by the number of hours allotted to studying mathematics. There are 305 first to eighth-grade students who learn at "Nae A. Ghica Middle School" in Romania. Students in sixth, seventh, and eighth grades…

Understanding a student's problem-solving strategy can have a significant impact on effective math learning using Intelligent Tutoring Systems (ITSs) and Adaptive Instructional Systems (AISs). For instance, the ITS/AIS can better personalize itself to correct specific misconceptions that are indicated by incorrect strategies, specific problems can…

Background: Generative Artificial Intelligence (AI) shows promise in enhancing personalised learning and improving educational efficiency. However, its integration into education raises concerns about misinformation and over-reliance, particularly among adolescents. Teacher supervision plays a critical role in mitigating these risks and ensuring…

For more than ten years, students at Bayard Middle School have not demonstrated mastery of the Common Core State Standards based on their performance on the state assessment administered every spring. Regardless of the particular assessment, students have consistently scored at the bottom of the state when compared with their grade-level peers.…

Writing motivation has been deemed a critical aspect of the writing process because motivation affects how students engage with the writing process, how much effort and time they exert in the tasks, and the quality of their written products (Graham, 2018). Writing motivation has been the focus of recent studies on how to improve the discouraging…

Learning experience designers consistently balance the trade-off between open and close-ended activities. The growth and scalability of Computer Based Learning Platforms (CBLPs) have only magnified the importance of these design trade-offs. CBLPs often utilize close-ended activities (i.e. Multiple-Choice Questions [MCQs]) due to feasibility…

As evidence grows supporting the importance of non-cognitive factors in learning, computer-assisted learning platforms increasingly incorporate non-academic interventions to influence student learning and learning related-behaviors. Non-cognitive interventions often attempt to influence students' mindset, motivation, or metacognitive reflection to…

The robotics context is suggested as a context that supports the learning of the sciences including mathematics. The present study investigates how the robotics context affects students' motivation for learning mathematics. Two groups of seventh-grade students participated in the present research: a robotics class (32 students) and a regular class…