Positive behavioral interventions and supports (PBIS) is an empirically-based framework for proactively supporting student behavior across school settings. One technique schools utilize to teach and reinforce behavioral expectations is through the use of video. Since 2010, the Association for Positive Behavior Support has hosted the PBIS Film…

3D design software is a commonly used interactive learning tool in STEM education. It is generally believed that 3D design can effectively train students' spatial thinking and engineering design abilities. There have been many theoretical and practical achievements in the application of 3D printing education, but the evaluation of 3D design is…

Statistics education has the potential to assist students to develop their identities and engage in problems and social contexts that assist in empowering them to act politically in the future. The actions and narrative reported in this paper seek to identify the way in which teachers could develop and implement statistical inquiries that utilize…

Schools have drastically changed the way that staff, students, families, and communities engage with one another due to the COVID-19 pandemic. As schools begin planning education for fall, states are in the process of developing guidance and support for districts and schools to navigate students' and adults' academic, social, emotional, and…

In 2018, California's education community was preparing for a pivotal moment. A new governor would soon take the reins and voters would elect a new superintendent of public instruction. The "Getting Down to Facts II" (GDTFII) project, released in September 2018, assessed the state of preK-12 education in California. As year 2 of…

This dissertation investigates several topics in state merit-based financial aid research. The main research content includes three separate studies, primarily using the administrative datasets from the Missouri Department of Higher Education. The first study is an empirical paper that examines the effects of the Missouri Bright Flight Scholarship…

The purpose of this module is to illustrate examples of how courses in educational leadership programs can effectively and efficiently meld lessons on leadership with lessons on data collection and analysis. The rationale behind emphasizing this combination is very straightforward: America's schools need leaders who are adept with data-based…

Missing data are a common occurrence in survey-based research studies in education, and the way missing values are handled can significantly affect the results of analyses based on such data. Despite known problems with performance of some missing data handling methods, such as mean imputation, many researchers in education continue to use those…

This commentary to the recent article by Musso et al. (2013) discusses issues related to model fitting, comparison of classification accuracy of generative and discriminative models, and two (or more) cultures of data modeling. We start by questioning the extremely high classification accuracy with an empirical data from a complex domain. There is…

The academic study of educational technology is often characterised by critics as methodologically limited. In order to test this assumption, the present paper reports on data collected from a survey of 462 "research active" academic researchers working in the broad areas of educational technology and educational media. The paper…

Recently organizations have begun to realize the potential value in the huge amounts of raw, constantly fluctuating data sets that they generate and, with the help of advances in storage and processing technologies, collect. This leads to the phenomenon of big data. This data may be stored in structured format in relational database systems, but…

This overview of the basic components of a data dictionary is designed to educate and inform IDEA Part C and Part B 619 state staff about the purpose and benefits of having up-to-date data dictionaries for their data systems. This report discusses the following topics: (1) What Is a Data Dictionary?; (2) Why Is a Data Dictionary Needed and How Can…

Students have intuitive notions of the meaning of variability; some may see variability as how values in a set vary from each other. This article provides a measure of variability that is based on that conception. We introduce this new measure and a method for calculating it. Finally, we prove that this measure is equivalent to the population…

Teachers' workloads are common subjects of study. However, despite the pieces of literature and the endless calls for action, this remains among the prevailing issues in education. Hence, this paper aims to explore the policies further by gathering and analyzing the implications of workload policy and working hours of public school teachers, in…

This study examined the effectiveness of guided data-driven learning (DDL) activities on helping technological university students with a lower-intermediate proficiency level to learn grammar and vocabulary topics for the TOEIC test. The question of whether inductive learners make more progress than deductive learners was also addressed. A total…