In recent times, Educational Data Mining and Learning Analytics have been abundantly used to model decision-making to improve teaching/learning ecosystems. However, the adaptation of student models in different domains/courses needs a balance between the generalization and context specificity to reduce the redundancy in creating domain-specific…

In an effort to investigate the factors that lead to success in general chemistry, the Math-Up Skills Test (MUST) and common questions were used along with a student characteristic questionnaire. The MUST is a 20-item instrument to measure mathematics fluency, which is done without a calculator with a 15-min time limit. It has been shown as a…

Background/Context: English learners (ELs) have the potential to bring much-needed multilingual skills to the workforce, and most ELs aspire to graduate high school and earn a post-secondary credential (Gwynne, Pareja, Ehrlich, & Allensworth, 2012; Shi & Watkinson, 2019). But active ELs graduate high school at far lower rates than their…

This paper reports the results of a four-state collaboration--Illinois, New York, Texas, and Virginia--that uses Student Unit Record Database Systems that track students from high school into college. The goal is to determine whether it is possible to accurately predict whether individual students will not graduate using very early indicators…

Prior research has shown the importance of the ACT score and high school GPA (HSGPA) in predicting college success. Early college success, as indicated by students' first-year college GPA (FYGPA), plays a pivotal role in later college success and timely degree completion (Demeter et al., 2022; Gershenfeld et al., 2016). The accurate prediction of…

Across Massachusetts, legislators, policymakers, educators, families, and communities are engaged in important conversations about whether to continue using student performance on the MCAS tests as part of the state's high-school graduation requirements. This document presents lessons drawn from 15-plus years of research on educational opportunity…

Colleges have increasingly turned to predictive analytics to target at-risk students for additional support. Most of the predictive analytic applications in higher education are proprietary, with private companies offering little transparency about their underlying models. We address this lack of transparency by systematically comparing two…

The purpose of this study was to investigate a predictive model of online learners' learning outcomes through machine learning. To create a model, we observed students' motivation, learning tendencies, online learning-motivated attention, and supportive learning behaviors along with final test scores. A total of 225 college students who were…

Mental distress is highly prevalent in university students, and autistic traits can hinder academic education. The substantial lifestyle changes experienced by new university students can induce mood and anxiety dysfunctions and subsequent suicide-related behaviors. The aims of this study were to evaluate the detectability of suicidal ideation…

In many rural Indian schools, English is a second language for teachers and students. Intelligent tutoring systems have good potential because they enable students to learn at their own pace, in an exploratory manner. This paper describes a 3-year longitudinal study of 2123 Indian students who used the intelligent tutoring system, AmritaITS. The…

Young children are often enrolled in either AM (morning) or PM (afternoon) sessions in early childhood programs. However, little research is available on this routine practice. We used multilevel analysis to investigate if there are differences in the literacy, math, and social outcomes for children who participate in AM or PM sessions beyond…

This study explores a variety of variables with the intent of identifying specific student groups that may struggle with performance in a large general education course. The ultimate objective of this study is to facilitate the success of acknowledged at-risk students. Drawing in part on the theory of social capital, this study examines…

The current study investigated the stability of children's risk status across the preschool year. A total of 1,102 preschool children attending Title 1 schools (n = 631) and non-Title 1 schools (n = 471) participated in this study. Using averaged standard scores for two measures of language, print knowledge, and phonological awareness administered…

Data from 403 third graders were analyzed to determine relative and combined efficacy of group-administered Curriculum-Based Measures (CBMs) and Teacher Rankings of student reading and math performance taken early in the school year to predict end-of-year achievement scores. Teacher Rankings added to the power of CBMs to predict reading (R2 change…

Successful first-year college experiences require transitioning from comfortable high school habits to new, and sometimes difficult, college standards. Academically underprepared students bear an additional transitional burden during this time; they must successfully complete remedial courses before they can move into major coursework. Many of…