Addressing inequities in the educational outcomes--particularly for students of color and students from low-income backgrounds--cannot happen without comparable data from statewide summative assessments. Statewide assessment results help schools and district leaders target state and local resources to the students and schools with the greatest…

Over the year, Advance CTE and the Association for Career and Technical Education (ACTE) tracked state activity, cataloged final state policy actions and categorized trends based on the policy areas of focus and today, published State Policies Impacting CTE: 2022 Year in Review. This year's report provides an analysis that spans 37 states who…

Background: It has become increasingly important to shift education research and programming from a deficit focused perspective to a positive youth development perspective in order to identify and promote factors that support students' positive functioning and outcomes. One outgrowth of positive youth development is Positive Mental Health (PMH),…

Increasingly, higher education stakeholders are recognizing the value--and the imperative--of empowering students to bring their whole selves to college and, to that end, are providing holistic programming and learning opportunities. Fostering student connection and belonging through multiple modalities and providing proactive and wide-ranging…

The influx of data and the advances in computing have led to calls to update the introductory statistics curriculum to better meet the needs of the contemporary workforce. To this end, we developed the COMputational Practices in Undergraduate TEaching of Statistics (COMPUTES) instrument, which can be used to measure the extent to which computation…

Science communication is increasing through the use of Unmanned Aerial Systems (UAS) or drones. Within the Arthur Temple College of Forestry and Agriculture at Stephen F. Austin State University (SFASU), UASs such as the DJI Phantom 4 Pro and Mavic Mini2 drones were used by students and faculty to study mistletoe, crepemyrtle and fire ants and…

Social Learning Analytics (SLA) seeks to obtain hidden information in large amounts of data, usually of an educational nature. SLA focuses mainly on the analysis of social networks (Social Network Analysis, SNA) and the Web, to discover patterns of interaction and behavior of educational social actors. This paper incorporates the SLA in a smart…

Recommender systems in educational contexts have proven to be effective in identifying learning resources that fit the interests and needs of learners. Their usage has been of special interest in online self-learning scenarios to increase student retention and improve the learning experience. In this article, we present the design of a hybrid…

We describe an innovative preorientation curriculum (POC) for a Master of Biostatistics (MB) program. The goal of the POC is to fill critical skills gaps for students entering the MB program from heterogeneous backgrounds so they are prepared to engage in the program's rigorous, fast-paced training upon arrival. To achieve this goal, we introduce…

Educational technology (EdTech) designers need to ensure population validity as they attempt to meet the individual needs of all students. EdTech researchers often have access to larger and more diverse samples of student data to test replication across broad demographic contexts as compared to either the small-scale experiments or the larger…

Educational materials focused on spatial data analysis often feature mathematical descriptions of methods and step-by-step instructions of software tools, but infrequently discuss the set of decisions involved in specifying a statistical model. Failing to consider model specification may lead to specification searching, or the process of repeating…

The article shares collaborating educators (authors') experiences in supporting a group of student-teachers' interventions to improve learning practices as part of an action research course in a teacher education setting. The authors engaged in a series of reflective discussions in making sense of and improving the course process. Facilitation and…

We present a programmatic approach to incorporating ethics into an undergraduate major in statistical and data sciences. We discuss departmental-level initiatives designed to meet the National Academy of Sciences recommendation for integrating ethics into the curriculum from top-to-bottom as our majors progress from our introductory courses to our…

Secondary students with specific learning disabilities (SLD) can often demonstrate skill deficits and problem behaviors in general education classes. Teachers generally understand how to implement intensive interventions, yet may not know how to address skill deficits and off-task behaviors using a function-based approach or may encounter barriers…

The purpose of the study is to analyze the affective traits that affect mathematics achievement through Structural Equation Modeling (SEM) as a traditional regression model and Multivariate Adaptive Regression Splines (MARS), as one of the data mining methods. Structural Equation Modeling, one of the regression-based methods, is quite popular for…