Evaluation competency frameworks across the globe regard evaluation approaches as important to know and use in practice. Prior classifications have been developed to aid in understanding important differences among varying approaches. Nevertheless, there is an opportunity for a new classification of evaluation approaches, in particular one that is…

Premised on the idea that evaluators should be familiar with a range of approaches to program modifications, I review several existing approaches and then describe another, less well-recognized option. In this newer option, evaluators work with others to identify potentially needed adaptations for select program aspects "in advance." In…

Decision consistency (DC) is the reliability of a classification decision based on a test score. In professional credentialing, the decision is often a high-stakes pass/fail decision. The current methods for estimating DC are computationally complex. The purpose of this research is to provide a computationally and conceptually simple method for…

This case highlights the moral and ethical dilemmas that principals and educators confront when making decisions about special education classification and placement, particularly in the context of racial disproportionality. These decisions are complex, influenced by the requirements of the Individuals with Disabilities Education Act (IDEA) and…

At the end of every school year, particularly as students move on to middle or high school, educators throughout the nation face the same question: To reclassify or not to reclassify English Language Learners (ELLs)? The reclassification decision is tricky because it sometimes feels as if there is an inevitable tradeoff between specialized…

The role of school leaders is particularly complex in today's "era of accountability," which involves high standards for student achievement alongside frequently changing educational systems. Research in the business field has found leader's cognitive complexity to be a predictor of leader and organizational effectiveness whereas the…

Predictive studies have been widely undertaken in the field of education to provide strategic information about the extensive set of processes related to teaching and learning, as well as about what variables predict certain educational outcomes, such as academic achievement or dropout. As in any other area, there is a set of standard techniques…

Education researchers have traditionally faced severe data limitations in studying local policy variation; administrative data sets capture only a fraction of districts' policy decisions, and it can be expensive to collect more nuanced implementation data from teachers and leaders. Natural language processing and web-scraping techniques can help…

Education researchers have traditionally faced severe data limitations in studying local policy variation; administrative datasets capture only a fraction of districts' policy decisions, and it can be expensive to collect more nuanced implementation data from teachers and leaders. Natural language processing and web-scraping techniques can help…

Purpose: This paper aims to describe how the human resources development (HRD) policy has shifted from the national level to the sectoral levels; the paper also explains the changes that have been made in skills formation in the economy by presenting the emergence of Industry Skills Councils (ISC). Design/methodology/approach: This paper presents…

Virtual reality (VR) is an emerging technology that is gaining traction in K12 education. Whereas well-designed and engaging VR experiences may be considered educational, teacher educators with content-area expertise are uniquely positioned to analyze the actual content provided by those experiences when determining VR's educational value.…

We address the problem of selecting the best of a set of units based on a criterion variable, when its value is recorded for every unit subject to estimation, measurement, or another source of error. The solution is constructed in a decision-theoretical framework, incorporating the consequences (ramifications) of the various kinds of error that…

Decisions about instructional methods are becoming more complex, with options ranging from problem sets to experiential service-learning projects. However, instructors not trained in instructional design may make these important decisions based on convenience, comfort, or trends. Instead, this article draws on the knowledge management literature…

In this article, we propose the concept of "Autonomic Cycle Of Learning Analysis Tasks" (ACOLAT), which defines a set of tasks of learning analysis, whose objective is to improve the learning process. The data analysis has become a fundamental area for the knowledge discovery from data extracted from different sources. In the autonomic…

Across the United States, students face increasingly high expectations of what they should know and be able to do upon completing high school. However, too few state policies take into consideration how the pathway to graduation may look different for English Learners (ELs), particularly adolescent newcomers who have limited formal education. Many…