Progress monitoring data provide important information on student functioning in response to an intervention. Yet, there are several barriers to effective progress monitoring of internalizing symptoms among youth. To address these concerns, the current paper conceptualized the use of ecological momentary assessment (EMA) as a service delivery…

In this paper, we present an extended evaluation of a course recommender system designed to support students who struggle in the first semesters of their studies and are at risk of dropping out. The system, which was developed in earlier work using a student-centered design, is based on the explainable k-nearest neighbor algorithm and recommends a…

The purpose of this study is to evaluate the effectiveness of IXL Math online software for homework in raising the achievement of middle-school students on the New York State Math exam, with special focus on effects by student ethnicity. The study includes an analysis of the relationship between exam scale scores and time spent using the IXL…

This research investigates how artificial intelligence (AI) influences higher education, specifically exploring the perspectives of academicians regarding associated risks and opportunities. The study is aimed at the implementation of AI within university settings and its impact on both educators and students. Given the swift integration of AI,…

To improve students' learning performance through review learning activities, we developed a personalized intervention tutoring approach that leverages learning analysis based on artificial intelligence. The proposed intervention first uses text-processing artificial intelligence technologies, namely bidirectional encoder representations from…

Purpose: The purpose of this work is to illustrate the processes involved in managing teams in order to assist designers and developers to build software that support teamwork. A deeper investigation into the role of team analytics is discussed in this article. Design/methodology/approach: Many researchers over the past several decades studied the…

Objectives: In the USA, 18% of school-aged young people are classified as obese, and rural populations appear to be particularly at risk. Achieving high levels of fitness reduces the risk of obesity and underlying health conditions. To better understand youth obesity trends and fitness levels, annual fitness testing ([FT], that is, surveillance)…

Educational data mining has gained a lot of attention among scientists in recent years and constitutes an efficient tool for unraveling the concealed knowledge in educational data. Recently, semisupervised learning methods have been gradually implemented in the educational process demonstrating their usability and effectiveness. Cotraining is a…

The use of machine learning with educational data mining (EDM) to predict learner performance has always been an important research area. Predicting academic results is one of the solutions that aims to monitor the progress of students and anticipates students at risk of failing the academic pathways. In this paper, we present a framework for…

Keeping students engaged in the curriculum is extremely important when attempting to close the achievement gap for students with and at risk for disabilities. This is particularly important for students with learning disabilities or behavior disorders. This article discusses the use of applications (apps) for mobile technologies that may be used…

This study reports the effects of an interactive multimedia computer program for teaching social skills to youths with social-adjustment problems. Twelve youths (aged 11-17) were referred by the county diversion program or school guidance counselors. Seven were formally classified as having disabilities and had active Individualized Education…

As students' achievement is correlated with self-regulation, finding interventions promoting self-regulated learning (SRL) in online courses is a current focus of research. However, few studies have explored the potential of contract learning in scaffolding and developing SRL in non-traditional learners who have work and family and are at risk of…

Reading RACES--Relevant and Culturally Engaging Stories (RR) is a repeated reading intervention using culturally relevant literature that is delivered through computer software. This study extends previous research with RR intended to further evaluate the effects of RR on the fluency and comprehension growth of second-grade students with reading…

This study examined the effects of a novel computer software program, Reading RACES (Relevant and Culturally Engaging Stories), on the oral reading fluency and comprehension of three urban first graders who were English language learners (ELLs) and showed reading/special education risk. The individually administered intervention consisted of…

Houston's experience with the Educational Value-Added Assessment System (R) (EVAAS) raises questions that other districts should consider before buying the software and using it for high-stakes decisions. Researchers found that teachers in Houston, all of whom were under the EVAAS gun, but who taught relatively more racial minority students,…