While new teachers bring energy and passion into their classrooms and schools, they can find themselves incredibly challenged as they learn how to plan and implement lessons, collect, and use data to inform their instructional practices, build relationships with students and families, manage classroom behavior, and meet the varying academic,…

Within the last decade, different educational data mining techniques, particularly quantitative methods such as clustering, and regression analysis are widely used to analyze the data from educational games. In this research, we implemented a quantitative data mining technique (clustering) to further investigate students' feedback. Students played…

With the increased use of data in the governance of education, studies on how human beings interact with data become increasingly important. Recent scholarship has conceptualized human responses to data through the notion of affectivity. While this conceptualization offers a viable alternative to previous rational choice theorizations of human…

Teachers often use analogies to introduce unfamiliar or complex concepts. However, several studies have found that their knowledge on how to use them is limited or superficial. Similarly, the integration of technological resources in the teaching-learning processes is not always carried out efficiently, which evidences the need to improve…

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 teaching brief describes an experiential project used in a graduate Principles of Management course for nonbusiness undergraduate students. Groups of four to six first-year MBA students interviewed a seasoned manager online twice over the 8-week course and discussed the applications of course material. Project subtopics included an…

This paper investigates students' mathematical modeling activity in data-rich modeling tasks. It aims at gaining insight into how students develop meaning when modeling data-rich situations and the mathematical models produced. A tendency to model a particular dataset, rather than the phenomenon that the dataset is a particular instance of, has…

This Quick Facts document provides a snapshot of facts about Alabama school systems and public schools; Alabama students; Alabama educators; National School Lunch Program lunches served; Alabama school buses; Alabama gifted students; total personnel; average daily attendance; graduation rate; average ACT score; AMSTI schools; ACCESS virtual…

Disproportionality in education is defined as the overrepresentation of specific racial or ethnic groups requiring special education (NJDOE New Jersey Department of Education [OSEP], 2018). Minority students who may be inappropriately identified as having disabilities may be harmed by being stigmatized with labels, experiencing lower expectations,…

The objective of this inspection was to determine what steps the Office of Special Education and Rehabilitative Services (OSERS) has taken to implement its final regulations on significant disproportionality in special education. The inspection found that OSERS provided general guidance and technical assistance for State educational agencies…

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…

This study investigates the issue of the goodness of fit of different skills assessment models using both synthetic and real data. Synthetic data is generated from the different skills assessment models. The results show wide differences of performances between the skills assessment models over synthetic data sets. The set of relative performances…

The current data-centric business environment has seen an increasing demand for business students with knowledge and skills in the area of business analytics. This article presents the design and implementation of a foundation business analytics (BA) course for undergraduate business students who aspire to become data-literate professionals or…

In addition to providing a set of techniques to analyze educational data, I claim that data science as a field can provide broader insights to education research. In particular, I show how the bias-variance tradeoff from machine learning can be formally generalized to be applicable to several prominent educational debates, including debates around…