As the number of jobs in the science, technology, engineering, mathematics (STEM) workforce grows exponentially, there has never been a more important time to provide students with real-world learning opportunities that have 21st century implications. Measuring things that matter is a fundamental skill that formulates the backbone of many concepts…

This article presents an evaluation of edCrumble, a blended learning authoring tool for teachers. The tool visually represents learning designs and integrates data analytics to scaffold teacher design decisions. In addition to assessing the usability of edCrumble using Usability Metric for User Experience questionnaire, analyses of participant…

In this study, we examined the relationship between university students' engagement in a blended learning course and their performance. We also explored the roles which gender and nationality may play in the learning process. Our sample consisted of 335 students of International Accounting course. We used 23,796 student access computer logs as a…

The increasing adoption of educational technology in school classrooms has resulted in greater use of electronic devices to take lesson notes. Recent research comparing performance of adult students who recorded lecture notes using computer keyboards with that of students who handwrote their notes shows somewhat conflicting findings about their…

Purpose: The paper aims to present a new two stage local causal learning algorithm -- HEISA. In the first stage, the algorithm discoveries the subset of features that better explains a target variable. During the second stage, computes the causal effect, using partial correlation, of each feature of the selected subset. Using this new algorithm,…

Students learn many concepts in the introductory statistics course, but even our most successful students end up with rigid, ritualized knowledge that does not transfer easily to new situations. In this article we describe our attempt to apply theories and findings from learning science to the design of a statistics course that aims to help…

Today, most medical research depends on statistics, and interpreting these is crucial as the world tries to improve health outcomes. Medical students are at the front line in this effort but many have negative attitudes toward statistics. To assess this and offer recommendations, this study evaluates the attitudes of medical students in Riyadh,…

R and Python are commonly used software languages for data analytics. Using these languages as the course software for the introductory course gives students practical skills for applying statistical concepts to data analysis. However, the reliance upon the command line is perceived by the typical nontechnical introductory student as sufficiently…

In this article, we describe a large-scale living learning community (LLC) for undergraduate students of any major or background. Our students are united by a desire to learn data science skills and to apply those skills in a specific academic discipline or a corporate partner project. We provide explanations of why an LLC is beneficial; the…

Timely identification of children with disabilities is required by federal special education law (Individuals with Disabilities Education Improvement Act, 20 U.S.C. § 1400, 2004). During COVID-19, school psychologists have been faced with the challenge of completing valid, comprehensive, and diagnostic assessments when traditional methods are not…

Despite evidence supporting the importance of school climate, little is known about how practitioners understand and use data from climate surveys to guide schoolwide improvement. The expanded use of school climate surveys underscores the importance of understanding how schools and districts are utilizing this evidence both to drive improvement…

This report provides information about the sample, survey instrument, and resultant data for the 2021 Learn Together Surveys (LTS) that were administered to secondary principals and teachers in March 2021 via the RAND Corporation's American Educator Panels. It includes a full set of basic frequency tables for each survey. The LTS focus on several…

The need to improve outcomes among students with disabilities (SWD) by increasing teachers' skilled use of evidence-based practices (EBPs) has been a pressing challenge around the country. Texas, in particular, has a specific focus on supporting the increased use of teachers' EBPs within their State Systemic Improvement Plan (SSIP). Therefore,…

In a randomized trial that collects text as an outcome, traditional approaches for assessing treatment impact require that each document first be manually coded for constructs of interest by human raters. An impact analysis can then be conducted to compare treatment and control groups, using the hand-coded scores as a measured outcome. This…

When a paraeducator accompanies students receiving special education support across settings, students are at increased risks of decreased engagement and interaction with certified teachers (Giangreco et al., 2001). When paraeducators are tasked with implementing, it is critical they be prepared to monitor students' progress accurately and…