The use of machine learning and data mining techniques across many disciplines has exploded in recent years with the field of educational data mining growing significantly in the past 15 years. In this study, random forest and logistic regression models were used to construct early warning models of student success in introductory calculus-based…

Using an inquiry-based approach to address the challenge of improving schools provides opportunities for informed decision making and carries great promise for return on investment. Taking a collaborative approach toward improvement can be complex, yet also rewarding because of the opportunity to leverage the knowledge and capacity of multiple…

The purpose of this study is to compare decision trees obtained by data mining algorithms used in various areas in recent years according to different criteria. In the study, similar and different aspects of the decision trees obtained by different methods for classifying the students as successful and unsuccessful in terms of science literacy…

In Computer-Supported Collaborative Learning (CSCL) classrooms it may be challenging for teachers to keep awareness of certain aspects of the learning process of each small group or assess whether the enactment of the class script deviates from the original plan. Orchestration tools, aimed at supporting the management of the increasing uncertainty…

This article summarizes some emerging concerns as learning analytics become implemented throughout education. The article takes a sociotechnical perspective -- positioning learning analytics as shaped by a range of social, cultural, political, and economic factors. In this manner, various concerns are outlined regarding the propensity of learning…

Several geospatial approaches have been used to characterize physical activity during recess using global positioning system (GPS) data. GPS and accelerometer data from 23 children collected during recess were analyzed using four previously used approaches: (1) dot map, (2) fishnet grid, (3) hot spot analysis, which determines clusters of high/low…

Visual imagery has been an effective tool to communicate ideas connected with basic mathematics concepts since the dawn of mankind. The development of educational visualisation technology allows these ideas to be demonstrated with the help of some educational software. In this paper, we specifically consider the use of GeoGebra, a free,…

The large-scale and granular interaction data collected in online learning platforms such as massive open online courses (MOOCs) provide unique opportunities to better understand individuals' learning processes and could facilitate the design of personalized and more effective support mechanisms for learners. In this paper, we present two…

Massive open online courses (MOOCs) face persistent challenges related to student performance, including high rates of attrition and low student achievement scores. Previous studies that have examined the performance of students in MOOCs have done so using qualitative analysis and the quantitative analysis of small samples. This study is the first…

Background: College-completion policies dominate state higher education policy agendas. Yet we know little about how policy actors make decisions--and what sources of evidence they use--within this policy domain. Focus of Study: This study explores the use of evidence in college-completion policymaking in depth, focusing on Texas. In addition to…

A few years ago, Marnie O. Malone and her team at Elmira City Schools found themselves facing a challenge that's all too common: How can we best support students who we know aren't likely to meet grade-level standards? To find an answer, they looked to the MAP® Suite of assessments from NWEA®. This brief case study describes how Malone and her…

Assessment is prevalent throughout all levels of education in the United States. Even though educators are familiar with the idea of assessing students, familiarity does not necessarily ensure assessment literacy, or data-based decision making (DBDM) knowledge. Assessment literacy and DBDM are critical in education, and early childhood education…

Our current federal postsecondary data system is incomplete and fails to provide today's students with the accurate, timely information that they need to inform their college choices and promote their success. As policymakers consider proposals to improve this federal data system, it is critical that they work in tandem to protect students'…

Measures of student growth offer a richer understanding of student performance than a moment-in-time test score alone, but measures of student growth are not created equal. In their accountability plans for implementing the Every Student Succeeds Act (ESSA), some states are using a sophisticated analysis of multiple data points that evaluate the…

Youth apprenticeship programs can give students access to valuable work-based learning experiences that provide insights into how their interest can connect to education and the workforce. Although these programs are often beneficial for participants, there is little data to show the programmatic landscape and impact. There are many challenges…