To create a satisfying social learning experience, an emerging challenge in educational data mining is to automatically assign students into effective learning teams. In this paper, we utilize discourse data mining as the foundation for an online team-formation procedure. The procedure features a deliberation process prior to team assignment,…

In this paper, we analyze a two-level latent variable model for longitudinal data from the National Growth of Health Study where surrogate outcomes or biomarkers and covariates are subject to missingness at any of the levels. A conventional method for efficient handling of missing data is to reexpress the desired model as a joint distribution of…

This research to practice brief provides a research summary for the study "Using Data to Alter Instructional Practice: The Mediating Role of Coaches and Professional Learning Communities." The study investigated whether the use of coaches or professional learning communities (PLCs) had an impact on how educators used data to change…

Although peer-mediated interventions have emerged as an evidence-based practice for students with autism spectrum disorder (ASD), little attention has focused on approaches for tailoring these interventions to meet individual students' unique needs. In this systematic literature review of 29 studies, we identified assessment procedures used to…

We make sense of experiences of our own and others through different forms of stories -- movies, TV dramas, documentaries, books, songs, as well as stories that are told and re-told within our families and cultures. Our experiences are fragmented and happen in different places over the course of our lives. By putting stories together in a plot, we…

Data-Driven Learning (DDL) is a method for learning languages that involves analyzing language usage trends and finding patterns in language data, utilizing technology and statistics. One of the key benefits of DDL is that it allows students to focus on the most relevant and useful language data for their needs. Data-driven learning is an…

Access to online data sets and free, data-visualization software programs that don't require coding skills has given journalism students the ability to produce charts, maps, and graphs quickly. Maps that used to require weeks of software training and expensive programs to create can now be produced in less than an hour. However, students must…

The inaugural Working Lives of Teachers and Leaders (WLTL) survey was carried out in Spring 2022 with teachers and leaders in state schools in England. Conducted by IFF Research and the Institute of Education (IoE) on behalf of the Department for Education (DfE), the survey is longitudinal by design and will run annually for at least five years,…

The Every Students Succeeds Act (ESSA) directs states and districts to identify equity gaps in students' access to excellent educators and transformative school leaders. States are encouraged to use Title II funds strategically in order to identify and remedy these gaps. A new report from The Education Trust draws on ESSA documents and state…

This commentary reflects on the contributions to learning analytics and theory by a paper that describes how multiple theoretical frameworks were woven together to inform the creation of a new, automated discourse analysis tool. The commentary highlights the contributions of the original paper, provides some alternative approaches, and touches on…

In a previous study, we found that real-time mutual gaze perception (i.e., being able to see the gaze of your partner in real time on a computer screen while solving a learning task) had a positive effect on student collaboration and learning (Schneider & Pea, 2013). The goals of this paper are (1) to explore a variety of computational…

This paper uses a rich longitudinal dataset to measure the evolution of the gender differences in numeracy among school-age children in Indonesia. Girls outperformed boys by 0.08 standard deviations when the sample was around 11 years old. Seven years later, the gap has widened to 0.19 standard deviations, equivalent to around 18 months of…

The College Ambition Program (CAP) is designed to encourage low-income and minority students to enroll in college. The following analysis presents updated results from my AERA presidential talk in 2014. Results indicate that CAP, which is a schoolwide intervention, increased college attendance for low-income and minority students in seven…

Identifying learning problems of students has been recognized as an important issue for assisting teachers in improving their instructional skills or learning design strategies. The accumulated assessment data provide an excellent resource for achieving this objective. However, most of conventional testing systems only record students' test…

Learning Analytics (LA) is a field that aims to optimize learning through the study of dynamical processes occurring in the students' context. It covers the measurement, collection, analysis and reporting of data about students and their contexts. This study aims at surveying existing research on LA to identify approaches, topics, and needs for…