The use of Bayesian Knowledge Tracing (BKT) models in predicting student learning and mastery, especially in mathematics, is a well-established and proven approach in learning analytics. In this work, we report on our analysis examining the generalizability of BKT models across academic years attributed to "detector rot." We compare the…

Background: Mastery and performance goals are typically measured as trait-like abstract goals. However, in their daily academic pursuits, students pursue more concrete goals. The pursuit of these goals is replete with obstacles that can lead to an action crisis. Aims: We examined how mastery and performance goals affect progress, effort and…

Mastery of mathematics depends on the people's ability to manipulate and abstract values such as negative numbers. Knowledge of arithmetic principles does not necessarily generalize from positive number arithmetic to arithmetic involving negative numbers (Prather & Alibali, 2008, https://doi.org/10.1080/03640210701864147). In this study, we…

Soliciting predictions about hypothetical memory performance (without having participants engage in a related memory task) is a simple way for researchers to examine people's metacognitive beliefs about how memory functions. Using this methodology, researchers can vary what information is provided as part of the scenario or how the memory…

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…

This study investigated the direct relationship between home play opportunity and prospective school readiness, and the indirect relationships as mediated through object and social mastery motivation among Hong Kong Chinese kindergarten children. Participants were 106 local children (44.4% girls, mean age = 60.0 months) and their parents and…

This study examined the relationships among cultural values, goal orientations, and mathematics achievement in mainland China. Structural equation models were used to analyze data on 350 Grade 5 students. The results showed that mathematics achievement was positively related to family-support and mastery goal orientations and negatively related to…

Peer relationships play important roles in middle-school students' individual development. Peer support is indispensable in computer-supported learning contexts. This study is designed to explore the connection between perceived peer support and deeper learning, while examining the mediating role of computer self-efficacy and perceived classroom…

Extensive literature in artificial intelligence in education focuses on developing automated methods for detecting cases in which students struggle to master content while working with educational software. Such cases have often been called "wheel-spinning," "unproductive persistence," or "unproductive struggle." We…

Bayesian knowledge tracing model (BKT) is a typical student knowledge assessment method. It is widely used in intelligent tutoring systems. In the standard BKT model, all knowledge and skills are independent of each other. However, in the process of student learning, they have a very close relation. A student may understand knowledge B better when…

Although several studies have investigated the roles of teaching practices during the learning process on students, the role of school learned helplessness (LH) and mastery orientation (MO) has not been deeply examined. The present study aimed to verify the dynamics between academic achievement and the perception of the students of their teacher's…

In this paper, we propose a novel approach to combine domain modelling and student modelling techniques in a single, automated pipeline which does not require expert knowledge and can be used to predict future student performance. Domain modelling techniques map questions to concepts and student modelling techniques generate a mastery score for a…

Previous research has reported the importance of students' perceptions of learning environment in their affective outcomes, motivational regulations, and performance. In this study, we investigated the predictive effects of students' perceptions of biology classroom learning environment on their mastery goals orientation, motivational regulations,…

Considerable attention has been given to methods for knowledge estimation, a category of methods for automatic assessment of a student's degree of skill mastery or knowledge at a specific time. Knowledge estimation is frequently used to make decisions about when a student has reached mastery and is ready to advance to new material, but there has…

Knowledge tracing algorithms are embedded in Intelligent Tutoring Systems (ITS) to keep track of students' learning process. While knowledge tracing models have been extensively studied in offline settings, very little work has explored their use in online settings. This is primarily because conducting experiments to evaluate and select knowledge…