This paper applies the well-known cognitive bias of loss aversion from behavioural economics to student decisions over engagement with mathematically demanding coursework. This bias is shown to predict behaviour that is consistent with mathematics anxiety in a dynamic model of student engagement. It is shown that these forces can imply…

Predictive models on students' academic performance can be built by using historical data for modelling students' learning behaviour. Such models can be employed in educational settings to determine how new students will perform and in predicting whether these students should be classed as at-risk of failing a course. Stakeholders can use…

Detecting wheel-spinning behaviors of students who interact with an Intelligent Tutoring System (ITS) is important for generating pertinent and effective feedback and developing more enriching learning experiences. This analysis compares decision tree and bagged tree models of student productive persistence (i.e., mastering a skill) using the…

This paper introduces a novel approach to identify at-risk students with a focus on output interpretability through analyzing learning activities at a finer granularity on a weekly basis. Specifically, this approach converts the predicted output from the former weeks into meaningful probabilities to infer the predictions in the current week for…

Early warning systems (EWSs) have been successfully used in online classes, especially in massive open online courses, where it is nearly impossible for students to interact face-to-face with their teachers. Although teachers in higher education institutions typically have smaller class sizes, they also face the challenge of being unable to have…

Although tremendous advances have been made in the development of evidence-based services and strategies to prevent and treat emotional and behavioral disorders (EBDs) in children, often such programs may be necessary but not sufficient to address the circumstances and needs of a specific student. The purpose of this introductory article and this…

This study investigated the impact of implementing School responder model (SRM) programs on addressing mental and behavioral health needs to reduce problem behavior and prevent the school-to-prison pipeline. While successful school-based mental health interventions exist, the effectiveness of SRM programs in countering the school-to-prison…

Over the past decade, researchers have called for a reconceptualisation of school connectedness. A review of literature between 1990 and 2016 was completed to define school connectedness and identified four factors: attending, belonging, engaging, and flow. The review of the published literature from 1990 to 2016 that related to the four factors…

Nowadays, the virtual learning environment has become an ideal tool for professional self-development and bringing courses for various learner audiences across the world. There is currently an increasing interest in researching the topic of learner dropout and low completion in distance learning, with one of the main concerns being elevated rates…

Students in the online learning who have other responsibilities of life such as work and family face attrition. Constructing a model of engagement with smallest granule of time has not been implemented widely, but implementing it is important as it allows to uncover more subtle patterns. We built a student engagement prediction model using 9…

This paper addresses a key challenge in Educational Data Mining, namely to model student behavioral trajectories in order to provide a means for identifying students most at risk, with the goal of providing supportive interventions. While many forms of data including clickstream data or data from sensors have been used extensively in time series…

The purpose of this article is to provide an overview, core strategies, and real-life examples of the universal tier of an early childhood multitiered system of positive behavior support: "The Pyramid Model." This article includes information from a variety of resources and classroom experiences to assist practitioners in the…

Many youth experience mental health problems. Schools are an ideal setting to identify, prevent, and intervene in these problems. The purpose of this study was to investigate patterns of student social, emotional, and behavioral risk over time among a community sample of 3rd through 12th grade students and the association of these risk patterns…

Students with disabilities (SWD) at an urban high school in Midwestern United States experienced academic, social, and emotional problems. When SWD experience difficulties in high school, they may drop out and face potentially life-long problems. The purpose of this case study was to understand how a Response to Intervention (RTI) tutoring program…

Performance prediction is a leading topic in learning analytics research due to its potential to impact all tiers of education. This study proposes a novel predictive modeling method to address the research gaps in existing performance prediction research. The gaps addressed include: the lack of existing research focus on performance prediction…