This study aimed to identify the reasons why Science-Literature Faculty students enrolled in pedagogical formation programs and to determine their views related to their employment options. The study undertaken with qualitative method included focus group interviews with students (n=11) enrolled in pedagogical formation programs. Content analysis…

We present our design for a cell biology course to integrate content with scientific practices, specifically data interpretation and model-based reasoning. A 2-year research project within this course allowed us to understand how students interpret authentic biological data in this setting. Through analysis of written work, we measured the extent…

This article reports findings from a diverse third grade classroom that integrates a literacy through photography (LTP) curriculum as a central component of writing instruction in an urban public school. A case study approach was used in order to provide an in-depth, multi-dimensional consideration of phenomena by drawing on multiple data sources…

Crystallographic information provides the fundamental basis for understanding the properties and behavior of materials. This data, such as chemical composition, unit cell dimensions, space group, and atomic positions, derives from the primary literature--that is, from published experimental measurement or theoretical calculation. Although the…

Nowadays, Rasch model analysis is used widely in social research, moreover in educational research. In this research, Rasch model is used to determine the validation and the reliability of systemic multiple choices question in chemistry teaching and learning. There were 30 multiple choices question with systemic approach for high school student…

Using 1972-2000 data from the Consumer Expenditure Survey (CES), a nationally representative survey of spending conducted by the Bureau of Labor Statistics, this paper investigates changes in the income-based gap in monetary investments in children under the age of six, when most children typically have entered school in the United States. The…

As online education grows, institutions must develop and evaluate student services to meet the needs of adult online students. The university at which the study was conducted had growing online enrollment, but no systematic examination of services from the students' perspective to drive service development and improvement. This represented a gap…

Although high school graduation rates continue to rise in the United States, reaching 81 percent in the 2012-2013 school year (U.S. Department of Education, 2015), dropout remains a pervasive issue for education systems across the nation. In recent years, Early Warning Systems (EWS), which utilize administrative data to identify students at risk…

The Australian vocational education and training (VET) system provides training across a wide range of subject areas and is delivered through a variety of training institutions and enterprises (including to apprentices and trainees). The system provides training for students of all ages and backgrounds. Students may study individual subjects or…

The Program for the International Assessment of Adult Competencies (PIAAC) is a cyclical, large-scale study of adult skills and life experiences focusing on education and employment. Nationally representative samples of adults between the ages of 16 and 65 are administered an assessment of literacy, numeracy, and problem solving in technology rich…

For more than a decade, Achieve has issued an annual 50-state report on each state's adoption of college- and career-ready (CCR) policies as reflected in state standards, graduation requirements, assessments, and accountability systems. Having the right policies is necessary to ensure that students graduate academically prepared for college and…

User clustering algorithms have been introduced to analyze users' learning behaviors and help to provide personalized learning guides in traditional Web-based learning systems. However, the explicit and implicit coupled interactions, which means the correlations between user attributes generated from learning actions, are not considered in these…

While Educational Data Mining research has traditionally emphasized the practical aspects of learner modeling, such as predictive modeling, estimating students knowledge, and informing adaptive instruction, in the current study, we argue that Educational Data Mining can also be used to test and improve our fundamental theories of human learning.…

As part of the ACS Examinations Institute (ACS-EI) national norming process, student performance data sets are collected from professors at colleges and universities from around the United States. Because the data sets are collected on a volunteer basis, the ACS-EI often receives data sets with only students' total scores and without the students'…

Effectively measuring short-term impact, particularly a change in knowledge resulting from Extension programming, can prove to be challenging. Clicker-based technology, when used properly, is one alternative that may allow educators to better evaluate this aspect of the logic model. While the potential interface between clicker technology and…