As engagement with science, technology, engineering, and mathematics (STEM) increases in after-school programs (ASPs), it is important to examine the impact of this engagement on students' academic achievement, STEM participation, and affinity toward STEM. Results of these examinations can offer insights into both best practices that could be…

This dissertation comprises three papers that propose, discuss, and illustrate models to make improved inferences about research questions regarding student achievement in education. Addressing the types of questions common in educational research today requires three different "extensions" to traditional educational assessment: (1)…

Recent science education reform has been marked by a shift away from a focus on facts toward deep, rich, conceptual understanding. This requires assessment that also focuses on conceptual understanding rather than recall of facts. This study outlines our development of a new assessment framework and tool--a taxonomy--which, unlike existing…

The ultimate goal of physics education research (PER) is to develop a theoretical framework to understand and improve the learning process. In this journey of discovery, assessment serves as our headlamp and alpenstock. It sometimes detects signals in student mental structures, and sometimes presents the difference between expert understanding and…

Background: Athletics programmes for secondary schools include a variety of skills, knowledge and cognitive abilities, which are currently assessed through written, practical, oral and/or video-based tests. Skills are traditionally taught in practice-based sessions, while the knowledge aspect is often reinforced in class-based sessions with…

Bayesian networks are frequently used in educational assessments primarily for learning about students' knowledge and skills. There is a lack of works on assessing fit of Bayesian networks. This article employs the posterior predictive model checking method, a popular Bayesian model checking tool, to assess fit of simple Bayesian networks. A…

The purpose of this study was to determine the value of the Grotelueschen evaluation model in terms of six criteria: usability, comprehensiveness, cost-effectiveness, flexibility, validity, and objectivity. This evaluation process was chosen from six models that were reviewed to determine the effectiveness of an adult education program on career…

A study focused on the development and pilot testing of a student satisfaction instrument, the results of which may be used to identify weaknesses and strengths of nontraditional degree programs. The literature review demonstrated little empirical evidence that could support positive or negative conclusions regarding student satisfaction within…

The 4th International Conference on Educational Data Mining (EDM 2011) brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large datasets to answer educational research questions. The conference, held in Eindhoven, The Netherlands, July 6-9, 2011, follows the three previous editions…