High dropout rate exists universally in massive open online courses (MOOCs) due to the separation of teachers and learners in space and time. Dropout prediction using the machine learning method is an extremely important prerequisite to identify potential at-risk learners to improve learning. It has attracted much attention and there have emerged…

This study sought to assess the level of secondary students' scientific literacy in suburban schools in Malaysia and England, a research area which to date has not been fully explored in the literature. The study analyzed the data using the OECD's three domain-specific competencies of scientific literacy, namely: (i) explain phenomena…

We developed a criterion-referenced student rating of instruction (SRI) to facilitate formative assessment of teaching. It involves four dimensions of teaching quality that are grounded in current instructional design principles: Organization and structure, Assessment and feedback, Personal interactions, and Academic rigor. Using item response…

Forty-nine percent of the 706 articles published in the "Journal of Agricultural Education" from 1995 to 2012 reported quantitative research with at least one variable measured by a Likert-type scale. Grounded in the classical test theory definition of reliability and the tenets basic to Likert-scale measurement methodology, for the…

There is no comprehensive database of U.S. district-level test scores that is comparable across states. We describe and evaluate a method for constructing such a database. First, we estimate linear, reliability-adjusted linking transformations from state test score scales to the scale of the National Assessment of Educational Progress (NAEP). We…

In the United States, when English language learners (ELLs) are tested, they are usually tested in English and their limited English proficiency is a potential cause of construct-irrelevant variance. When such irrelevancies affect test scores, inaccurate interpretations of ELLs' knowledge, skills, and abilities may occur. In this article, we…

In this book, educational consultant James Cox offers a smarter way to look at data, putting test scores in context, not in isolation. Rather than focusing on last year's findings for school improvement, educators can learn how to evaluate the processes and practices that lead to those data by using a user-friendly, three-pronged framework for…

Discusses how to examine and evaluate claims of improved academic performance in advertisements for computer-assisted instruction. Highlights include the proper use of comparison groups; types of statistical analyses; the Hawthorne effect; the interpretation of scores; interpreting graphic presentations; tests of significance; and cost…