Despite the considerable resources dedicated to teacher evaluation reform, there is currently little evidence on the mechanisms by which evaluation translates into improvements in teachers' instructional practice. To address this need, this study was a two-pronged approach to examine the use of evaluation data for improvement within the Chicago…

To be literate in a society where the information shared online is often exploited, learners should be exposed to multiple aspects of contemporary predictive modeling. This article explores an activity in which grade 10 students learned how a famous AI algorithm (the Apriori algorithm) uses conditional probability to automate the process of…

Sources of longitudinal achievement data are increasing thanks partially to the expansion of available interim assessments. These tests are often used to monitor the progress of students, classrooms, and schools within and across school years. Yet, few statistical models equipped to approximate the distinctly seasonal patterns in the data exist,…

Over the course of four meetings, the Hunt-Lee Commission engaged in comprehensive conversations around key education opportunities including transitions, structure and alignment, funding, and access. Each meeting included presentations from resource experts and opportunities for Q&A and small group discussions. The final report summarizes…

This dissertation consists of three papers. Online Learning, Offline Outcomes: Online Course Taking and High School Student Performance. This paper uses fixed effects models to estimate differences in contemporaneous and downstream academic outcomes for students who take courses virtually and face-to-face, both for initial attempts and for…

The integration of behavioral health services in primary care has become increasingly popular in pediatric settings in recent years. While there are various models of integrated behavioral health (IBH), the aim is constant: to increase access to behavioral and mental health care through collaboration between behavioral health providers and…

This study introduces the Strategic Universal Design for Learning Course Development Framework™ (S-UDLCD™), the S-UDLCD™ Framework for Student Success™, and the Narinesingh Traffic Light Model™--three integrated, data-driven models designed to improve student retention, engagement, and instructional effectiveness in K-12 and higher education…

Over the past three decades Australia has developed an increasingly advanced national system of student assessments, results from which have been used to identify areas of growth, stagnation or decline in student learning. For the most part, trends in different standardised assessments have been considered in isolation. By examining literacy and…

In this comparative study, I examine principal data use in two sets of districts. One set of three districts has a district-wide focus on using data to improve instruction, and the other set, also with three districts, has a district-wide focus on analyzing disaggregated data by student demographic groups. Data sources include interviews with…

This research tests a hypothesized model that links collaborative data-use professional development experiences and successful use of student data to aid instruction. A serial, regression-based mediation model is tested (from professional development to self-efficacy, to positive affect, to successful use of data). Survey data from over 200 K-12…

Intervention dosage is an often-overlooked aspect of implementation fidelity. Tracking intervention dosage is critical for ensuring students with disabilities were present for and received the intervention for as many minutes as intended. Used in tandem with student performance data, intervention dosage can provide a clearer picture of…

The policy decisions of state, district and school educators affect the extent to which students have access to high-quality practices. This is especially relevant for students with disabilities and their families. This article summarizes a presentation made at the 2019 AAIDD conference and proposes an operational role for policy makers. Two…

Purpose: The purpose of this paper is to set forth a less-costly, more flexible approach to teaching the analysis of international business development opportunities. Design/methodology/approach: The approach capitalizes upon the high-quality business condition metrics, which are necessary to inform the development decision, that have recently…

The purpose of this study was to identify the underlying cognitive attributes used during the design and development of science-based serious educational games. Study methods rely on a modification of cognitive diagnostics, item response theory, and Bayesian estimation with traditional statistical techniques such as factor analysis and model fit…

Statistical investigations, a thread within the statistics strand of the mathematics and statistics learning area (Ministry of Education, 2007), are underpinned by the statistical enquiry cycle. As teachers introduce their students to the statistical enquiry cycle, they are supporting their students to become data detectives, posing and answering…