This quantitative based applied research study examined data collected fromstudents who have withdrawnfromor completed aneducator preparation program (EPP) ina small rural public community college in WestVirginia. This study compared studentretention rates with Frontier andRemote (FAR) designation by home zip code. These data informedthe research…

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 collection of student data through screening and progress monitoring of social and emotional learning (SEL) skills is just as important as the implementation of curriculum and practices. Monitoring skill acquisition allows teachers to identify effective practices, provide intervention, and intensify support for students who need it. In this…

Student dropout is a significant concern for university administrators, students and other stakeholders. Dropout is recognised as highly complex due to its multi-causality, which is expressed in the existing relationship in its explanatory variables associated with students, their socio-economic and academic conditions, and the characteristics of…

Treatment integrity is an important component of rigorous educational research. Information about the extent to which an intervention was implemented as planned provides necessary context for interpreting student outcomes. In the context of increasing use of tiered systems in schools, treatment integrity takes on additional practical importance.…

Background/Context: The passage of the No Child Left Behind Act in 2002 and the Every Student Succeeds Act in 2015 spurred changes in the way educators use data. On the one hand, the policies inspired educators' awareness of large gaps in achievement between subgroups based on gender, race, and socioeconomic status. On the other hand, the policies…

Video clickstream behaviors such as pause, forward, and backward offer great potential for educational data mining and learning analytics since students exhibit a significant amount of these behaviors in online courses. The purpose of this study is to investigate the predictive relationship between video clickstream behaviors and students' test…

Secondary schools in New Zealand use assessment data for school self-evaluation, but little research has explored exactly how schools are using these data. This case study of selected high schools explored the perspectives of teachers and school leaders whose schools had recently implemented a student assessment tracking and monitoring…

Although the number of students in higher education institutions (HEIs) has increased over the past two decades, it is far from assured that all students will gain an academic degree. To that end, institutional analytics (IA) can offer insights to support strategic planning with the aim of reducing dropout and therefore of minimizing its negative…

In order to enhance the experience of learning, many educators applied learning analytics in a classroom, the major principle of learning analytics is targeting at-risk student and given timely intervention according to the results of student behavior analysis. However, when researchers applied machine learning to train a risk identifying model,…

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…

This article proposes two innovative approaches, the one-channel learning image recognition and the three-channel learning image recognition, to convert student's course involvements into images for early warning predictive analysis. Multiple experiments with 5235 students and 576 absolute/1728 relative input variables were conducted to verify…

Isolated teachers in stand-alone American schools are expected to engage diverse students in the quest to facilitate their academic learning and achievement. This strategy assumes that all students will come to school ready and able to learn, and educators in stand-alone schools can meet the needs of all students. Student disengagement gets short…

The present work describes the challenges faced during the development of a countrywide Learning Analytics study and tool focused on tracking and understanding the trajectories of Uruguayan students during their first three years of secondary education. Due to the large scale of the project, which covers an entire national educational system,…

Approaches to identify and support student social, emotional, and behavioral (SEB) needs are necessary to the provision of school-based prevention and intervention services. Limited information exists, however, regarding the current use of SEB practices such as screening in schools. The purpose of The National Exploration of Emotional/Behavioral…