Fact-based decision making is changing job functions within organizations more than any other technology. Analytics, once the purview of the data scientist, is now spread throughout organizations. No longer is there a single job title, job function, or set of required skills and credentials for an analytics career. Companies have moved away from…

The Good Behavior Game (GBG) is a well-established intervention for decreasing problem behaviors in the classroom. Although the GBG has a long history of both empirical support and real-world implementation, the specific types of supports teachers find useful in implementing evidence-based interventions is an area that has received increasing…

Statistical thinking is essential to understanding the nature of scientific results as a consumer. Statistical thinking also facilitates thinking like a scientist. Instead of emphasizing a "correct" procedure for data analysis and its outcome, statistical thinking focuses on the process of data analysis. This article reviews frequentist…

An interdisciplinary undergraduate atmospheric science modeling course was cotaught at a midsize public university by three professors from atmospheric science, statistics, and design using a blended learning approach. The in-class portion of the course taught upper-level students numerical weather prediction modeling and statistical evaluation…

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,…

Content assessment has broadly improved in e-learning scenarios in recent decades. However, the e-Learning process can give rise to a spatial and temporal gap that poses interesting challenges for assessment of not only content, but also students' acquisition of core skills such as self-regulated learning. Our objective was to discover students'…

We explore institutional change and organizational learning in higher education in the context of a large-scale reform of developmental education in Florida. We use statewide survey data to examine administrators' perceptions of the use and effectiveness of accountability metrics, methods to identify solutions to improve student outcomes, and…

Meta-analyses of clinical trials targeting rare events face particular challenges when the data lack adequate numbers of events for all treatment arms. Especially when the number of studies is low, standard random-effects meta-analysis methods can lead to serious distortions because of such data sparsity. To overcome this, we suggest the use of…

The North Central Region Aging Network (NCRAN) formed out of a need to strengthen the potential for meeting curricular and educational demands related to the topic of aging. By pooling resources, establishing interactive and consistent methods of idea sharing, working collectively to assess community needs, and launching professional development…

This study aims to comparatively examine the resultant findings by testing the measurement invariance with structural equation modeling in cases where the missing data is handled using the expectation-maximization (EM), regression imputation, and mean substitution methods in the complete data matrix and the 5% missing data matrix that is randomly…

We explore institutional change and organizational learning in higher education in the context of a large-scale reform of developmental education in Florida. We use statewide survey data to examine administrators' perceptions of the use and effectiveness of accountability metrics, methods to identify solutions to improve student outcomes, and…

When the primary federal law governing K-12 schooling was updated in 2015 as the Every Student Succeeds Act (ESSA), it shifted many decisions to states and districts. However, through two of its core programs (Title I and Title II-A), ESSA retained federal requirements for states to set challenging content standards, assess student performance,…

In this brief, Kaylan Baxter talks about the potentially transformative role of two connected units less commonly associated with racial justice: institutional research (IR) and institutional effectiveness (IE). Institutional research (IR) consists of a wide-ranging set of tasks conducted in support of the decision-making processes of various…

Building and especially improving a classification kernel represents a challenging task. The works presented in this paper continue an already developed semi-supervised classification approach that aimed at labelling transcripts from educational videos. We questioned whether the size of the ground-truth data-set (Wikipedia articles) or the quality…

The January 2020 60-Second Survey was designed to serve two purposes: (1) to benchmark institutional-level use of enrollment management and strategic enrollment management (SEM) plans; and (2) gather individual interest in enrollment management research (Appendix A). The survey was open to all American Association of Collegiate Registrars and…