This study examined how the affordances of technologies in the blended learning affected teaching and learning activities. The study used mixed methods to examine whether the blended learning environments provided enhanced access to and more diverse data for teachers and students from which to make educational decisions. The study found that the…

This dissertation is aimed at investigating the impact of missing data and evaluating the performance of five selected methods for handling missing responses in the implementation of Cognitive Diagnostic Models (CDMs). The five methods are: a) treating missing data as incorrect (IN), b) person mean imputation (PM), c) two-way imputation (TW), d)…

This year is a momentous one for College and University Professional Association for Human Resources (CUPA-HR) research. As they celebrate their 50th anniversary of collecting salary data, they are also celebrating transformations in the way data are collected for all salary surveys and in the ways these data are reported. Rather than contributing…

The purpose of this qualitative case study was to describe the principal's perspective of the efficacy of the principal walk-through as a tool to improve and gather formative feedback about teaching. Principals from selected schools in one district were interviewed to further clarify their feelings and provide insight into how they engaged in the…

It is well known that students of inferential statistics find the hypothetical, probabilistic reasoning used in hypothesis tests difficult to understand. Consequently, they will also have difficulties in understanding "p"-values. It is not unusual for these students to hold misconceptions about "p"-values that are difficult to…

Augmented Graph Grammars are a graph-based rule formalism that supports rich relational structures. They can be used to represent complex social networks, chemical structures, and student-produced argument diagrams for automated analysis or grading. In prior work we have shown that Evolutionary Computation (EC) can be applied to induce…

Growth curve models are widely used for investigating growth and change phenomena. Many studies in social and behavioral sciences have demonstrated that data without any outlying observation are rather an exception, especially for data collected longitudinally. Ignoring the existence of outlying observations may lead to inaccurate or even…

Purpose: The purpose of this paper is to explain how rapid ethnography (RE) is used to understand the business decision-making process of micro-entrepreneurs. The objective of this paper is to highlight the applicability of RE in entrepreneurship research and outline practical strategies that can be used by future RE researchers.…

Determining the researcher role is an important, yet challenging decision for any project. It is especially difficult for new educational researchers whose prior experiences as teachers, administrators, and students may make it challenging to disengage from participant roles. In this case, we offer an example of a research project in which we…

Early warning systems have been progressively implemented in higher education institutions to predict student performance. However, they usually fail at effectively integrating the many information sources available at universities to make more accurate and timely predictions, they often lack decision-making reasoning to motivate the reasons…

Python is a popular, general purpose programming language that is gaining wide adoption in beginning programming courses. This paper describes the development and implementation of an introductory Python course at a business university open to students in a variety of majors and minors. Given the growing number of career opportunities in…

In this case study, learn how creation and use of modules, mastery-based grading, immediate feedback and consistent data use, and the reimagining of the school schedule allowed teachers to engage in personalization of the curriculum.

Respondent attrition is a common problem in national longitudinal panel surveys. To make full use of the data, weights are provided to account for attrition. Weight adjustments are based on sampling design information and data from the base year; information from subsequent waves is typically not utilized. Alternative methods to address bias from…

Many institutions implement assessment teams as resources to develop faculty and staff knowledge of and confidence in programmatic assessment processes. Additional resources may include rubrics or peer review and feedback, but effectiveness of these resources is rarely evaluated. Programmatic assessment allows institutions to examine the impact of…

This special issue is devoted to describing and evaluating new methods for analyzing online writing processes in a second language (L2). As all the contributors have stated, the aim is to identify the cognitive processes underlying writing. The ultimate aim is to employ observations and experimental manipulations of these processes to build…