The problem statement for this project-based learning was loose coupling, when applied to the PBIS framework, translates into major gaps with district-wide implementation of Tier II and Tier III interventions. Additionally, lack of superintendent-adaptive schools' knowledge and practices impact fidelity of implementation. Tier II and Tier III…

Since the introduction of the specific learning disability (SLD) classification in federal special education legislation, there has been considerable ambiguity and controversy about the criteria that should be used in the determination of SLD (Kavale & Flanagan, 2007; Zumeta et al., 2014). Various models have been introduced to identify…

The concept of data-driven learning (DDL) -- direct student use of corpora -- has been gaining attention among researchers and teachers. DDL gives learners the chance to take an inductive approach to learning by recognizing patterns in corpus data rather than following abstract rules. However, very few studies focus on presenting clear practices…

This article provides insight into how an adequate approach to selecting methods can establish credible and actionable evidence. The authors offer strategies to effectively support Extension professionals, including program developers and evaluators, in being more deliberate when selecting appropriate qualitative and quantitative methods. In…

To develop safe and healthy school environments, schools must be able to respond to bullying and harassment appropriately and take deliberate action to prevent it. This includes incidents where the bullying taking place is based on or related to a student's race, ethnicity, national origin, sex, gender, religion or disability status. Students…

To develop safe and healthy school environments, schools must be able to respond to bullying and harassment appropriately and take deliberate action to prevent it. This includes incidences where the bullying taking place is based on or related to a student's identity, such as their race, ethnicity, national origin, sex, gender, religion or…

Data Science courses are becoming more prevalent in recent years. Increasingly more universities are offering individual courses and majors in the field of Data Science. This study evaluates data science education as a means to become proficient in scientific literacy. The results demonstrate how the educational goals of a Data Science course meet…

Schools are awash in data, and teachers are being asked to gather data in a myriad of high-tech and low-tech ways. But gathering is not analyzing, and without analysis there is little reason to gather the data in the first place. Teachers need data-collection systems that lend themselves to rapid analysis and action. This article presents several…

While student data systems are nothing new and most educators have been dealing with student data for many years, learning analytics has emerged as a new concept to capture educational big data. Learning analytics is about better understanding of the learning and teaching process and interpreting student data to improve their success and learning…

Purpose: The purpose of this paper is to examine current approaches to interpretation of student evaluation data and present an innovative approach to developing benchmark targets for the effective and efficient use of these data. Design/Methodology/Approach: This article discusses traditional approaches to gathering and using student feedback…

In an effort to promote learning in classrooms, political science instructors are increasingly turning to interactive teaching strategies--experiments, simulations, etc.--that supplement traditional lecture formats. In this article, I advocate the use of student-generated data as a powerful teaching tool that can be used in a variety of ways to…

Distance Education, nowadays defined more as Open and Distance Learning, dates back to 1800s. Once considered as using non-traditional approaches and delivery methods compared to conventional campus-based education, distance education now has become a mainstream form of education increasing its popularity and use in the 21st century. Distance…

For the least-squares analysis of data having multiple uncertain variables, the generally accepted best solution comes from minimizing the sum of weighted squared residuals over all uncertain variables, with, for example, weights in x[subscript i] taken as inversely proportional to the variance [delta][subscript xi][superscript 2]. A complication…

Thousands of children with cancer participate in medical and social sciences research during and beyond their hospitalization and treatment. However, methodological techniques and issues in conducting qualitative research with children with cancer have received little attention in the literature to date. Therefore, the present article explores the…

We used data simulations to test whether composites consisting of cohesive subtest scores are more accurate than composites consisting of divergent subtest scores. We demonstrate that when multivariate normality holds, divergent and cohesive scores are equally accurate. Furthermore, excluding divergent scores results in biased estimates of…