Purpose: In an era of unprecedented student measurement and emphasis on data-driven educational decision making, the full potential for using data to target resources to students has yet to be realized. This study explores the utility of machine-learning techniques with large-scale administrative data to identify student dropout risk. Research…

It is essential for middle school leaders to develop and promote school-wide literacy models, organizational structures that have a significant impact on the learning environment for all students in their building. However, school-wide literacy models can be difficult to implement and sustain over time. Drawing from an Office of Special Education…

The phenomenon of low fertility has been negatively impacted on the social structure of the educational environment in Taiwan. To increase the learning effectiveness of students became the most important issue for the Universities in Taiwan. Due to the subjective judgment of evaluators and the attributes of influenced factors are always fuzzy, it…

This chapter provides examples of innovative methods and tools to collect, analyze, and report both quantitative and qualitative data in student affairs assessment.

Aim/Purpose: This study is an attempt to enhance the existing learning management systems today through the integration of technology, particularly with educational data mining and recommendation systems. Background: It utilized five-year historical data to find patterns for predicting student performance in Java Programming to generate…

In this study, we follow students' modeling and covariational reasoning in the context of learning about big data. A three-week unit was designed to allow 12th grade students in a mathematics course to explore big and mid-size data using concepts such as trend and scatter to describe the relationships between variables in multivariate settings.…

The Common Core of Data (CCD) is a national statistical program that collects and compiles administrative data from SEAs covering the universe of all public elementary and secondary schools and school districts in the United States. The first CCD collection was for SY 1986-87. The predecessor to CCD was the Elementary and Secondary General…

This inquiry-based activity for high school students introduces concepts of ecology and the importance of data analysis to science. Using an investigative case, students generate independent questions about birds, access Cornell Lab of Ornithology online resources to collect data, organize and graph data using Excel, and make claims based on…

Qualitative data offer advantages to evaluators, including rich information about stakeholders' perspectives and experiences. However, qualitative data analysis is labor-intensive and slow, conflicting with evaluators' needs to provide punctual feedback to their clients. In this method note, we contribute to the literature on rapid evaluation and…

The purpose of the National AEM Center's Quality Indicators with Critical Components for Higher Education is to assist institutes of higher education, both at the system and campus level, with planning, implementing, and evaluating dynamic, coordinated systems for providing accessible materials and technologies for all students who need them. The…

A graduate elective course in Research Data Management (RDM) was developed and taught as a team by a research librarian and a research active faculty member. Coteaching allowed each instructor to contribute knowledge in their specialty areas. The goal of this course was to provide graduate students the RDM knowledge necessary to efficiently and…

Missing data are a persistent problem in psychological research. Peer nomination data present a unique missing data problem, because a nominator's nonparticipation results in missing data for other individuals in the study. This study examined the range of effects of systematic nonparticipation on the correlations between peer nomination data when…

Survey data are usually of mixed type (quantitative, multistate categorical, and/or binary variables). Multidimensional scaling (MDS) is one of the most extended methodologies to visualize the profile structure of the data. Since the past 60s, MDS methods have been introduced in the literature, initially in publications in the psychometrics area.…

Data management is a way for liaison librarians to support faculty research. American liaison librarians face new demands in data management due to expanding public access guidelines. This article gives advice for librarians new to data management, with the specific case of agriculture. For librarians supporting agriculture, the United States…

Purpose: Fabricated data jeopardize the reliability of large-scale population surveys and reduce the comparability of such efforts by destroying the linkage between data and measurement constructs. Such data result in the loss of comparability across participating countries and, in the case of cyclical surveys, between past and present surveys.…