Understanding student engagement with the institution from the first day of classes to the end of the semester would help inform the institution of the potential risk that a student will drop out of a class or of the school. Learning Management Systems (LMS) record student interactions with the system and might be able to be used to identify…

Dropout is one of the major problems online higher education faces. Early identification of the dropout risk level and an intervention mechanism to revert the potential risk have been proved as the key answers to solving the challenge. Predictive modeling has been extensively studied on course dropout. However, intervention practices are scarce,…

Educators across the U.S. struggle to provide an equitable education to their diverse students. Since the 2020 COVID pandemic and the national call to end racism after George Floyd's murder in Minneapolis, chronic absenteeism and students' substantial mental health challenges have disrupted their efforts. Schools have struggled more than ever to…

Open online education experiences persistently high dropout rates, and the efficacy of dropout interventions has been questioned. Despite considerable research, dropout reasons are not fully understood, and further in-depth investigation has been called for. Prior qualitative retention studies have frequently relied on smaller samples that are…

Early leaving studies demonstrate it is possible to improve young people's opportunities through education and training. The current research evidence has yet to agree a definitive answer as to where the primary policy focus to improve their life chances should be. That is, which risk factors are the most impactful for minimising early school…

Course dropout is a concern in online higher education, mainly in first-year courses when different factors negatively influence the learners' engagement leading to an unsuccessful outcome or even dropping out from the university. The early identification of such potential at-risk learners is the key to intervening and trying to help them before…

Inefficient targeting of students at risk of dropping out might explain why dropout-reducing efforts often have no or mixed effects. In this study, we present a new method which uses a series of machine learning algorithms to efficiently identify students at risk and makes the sensitivity/precision trade-off inherent in targeting students for…

We investigated changes in youths' intentions to quit school after following a group-based cognitive behaviour therapy (CBT) based intervention for depressed adolescents in upper secondary school: the Adolescent Coping with Depression Course (ACDC). Data were collected from 228 youths, 133 of whom received the 14-week ACDC intervention and 95 who…

English language learning students in China often feel challenged to learn English due to lack of motivation and confidence, pronunciation and grammar difference, lack of practice and people to communicate with etc., which affects students mental health. Adopting Big data and AI will help in overcoming these limitations as it provides personalized…

U.S. Department of Education research indicates that early warning indicator systems are being used in at least half of high schools in the United States. Previous findings from an efficacy study of one early warning indicator and response system, the Early Warning Indicator (EWI) team model, indicated that ninth grade students in schools using…

A history of trauma can have a significant negative impact on the functioning of a student in the school environment. Check & Connect, a school engagement and dropout intervention program, has been found to have positive effects on student school engagement and decrease the likelihood of dropping out of school. However, a review of the Check…

Background: Education plays a pivotal role in empowering individuals with the knowledge and skills needed for careers, economic progress, and societal engagement. Dropping out of school before achieving a qualification undermines these opportunities and has an impact on individuals and society (Audit Commission, 2010; OECD, 2023). International…

The education field has long wrestled with how to best handle students who behave badly. Specifically, students who behave in an unsafe manner towards other students present a special conundrum and the traditional response has been to suspend them (Adams, 2000; Black, 2016; Cerrone, 1999; Fabelo et al., 2011; Rumberger et al.,2016). The purpose of…

Understanding educators' networks can inform the field of school psychology by offering insight into how the structure of social relationships supports the implementation of school-based programs. However, the difficulties of collecting and modeling network data remain barriers to using network methods in school psychology. To overcome these…

Studying STEM Intervention Program (SIP) retention, particularly what distinguishes those students who remain in the program from those that leave, may be a key to better understand how to keep students on track towards STEM degree completion. This study focuses on the participation of Latinx and other underrepresented racial/ethnic minoritized…