This study examined the impact of Career & Technical Education (CTE) credit accumulation on the persistence and academic attainment of student service members/veterans (SSM/V) within the 2-year public postsecondary education segment. SSM/V are a small but significant population of underrepresented non-traditional students within postsecondary…

In this descriptive study, I examined data from the Bill and Melinda Gates Millennial Scholars Cohort 3 Survey Data whom are high- achieving, low-income, historically marginalized college students, to identify the unique characteristics of students whose parents have not attended college. More specifically, academic preparation, academic…

The Division of Adult and Technical Education, Office of Career, Technical, and Adult Education (OCTAE), sponsors individualized technical assistance to support states in improving the quality of their "Carl D. Perkins Career and Technical Education Act of 2006" ("Perkins IV") accountability systems. In response to OCTAE's…

Learner modeling, a challenging and complex endeavor, is an important and oft-studied research theme in computer-supported education. From this perspective, Educational Data Mining (EDM) research has focused on modeling and comprehending various dimensions of learning in computer-based learning environments (CBLE). Researchers and designers are…

New technologies have completely altered the ways that citizens can access data. Indeed, emerging online data sources give citizens access to an enormous amount of numerical information that provides new sorts of evidence used to influence public opinion. In this new environment, two trends have had a significant impact on our increasingly…

This chapter describes the background and process for collecting postgraduation outcomes data at a 4-year not-for-profit private college. The strategies, analyses, and reporting of this data-collection effort are highlighted with the use of a case study.

In most qualitative research studies involving the creation of interview transcriptions, researchers seldom demonstrate much reflexivity about the transcription process, rarely making mention of transcription processes as part of their reporting of data collection and analysis procedures beyond a simple statement that audio- or videotaped data…

The amount of computerized information that organizations collect and process is growing so large that the term Big Data is commonly being used to describe the situation. Accordingly, Big Data is defined by a combination of the Volume, Variety, Velocity, and Veracity of the data being processed. Big Data tools are already having an impact in…

This documentation is for the provisional version 2a file of the National Center for Education Statistics' (NCES) Common Core of Data (CCD) Public Elementary/Secondary School Universe Survey for School Year (SY) 2013-14. It contains a brief description of the data collection, along with information required to understand and access the data file.…

Learning analytics provide a set of powerful tools to inform and support learners. They enable institutions and individuals to better understand and predict personal learning needs and performance. Universities already collect vast amounts of data about their student populations, but often this is underutilised. The current "state of the…

This paper studies, using quantitative and qualitative data, the effectivity of a professional development approach in which a national summative assessment is used formatively to stimulate 19 teacher teams in Dutch secondary education to improve their data use for instruction and learning. The approach is based on conceptual similarities between…

Data-based decision making refers to collecting, analyzing, and reporting data to drive school improvement. This can apply to any level of the school from individual students to the entire system. When applied to the field of secondary transition, it refers to using data to drive decisions to improve the in-school and post-school success of…

This commentary elaborates on the role of "grounding" as a focal theoretical concept and aims to contextualize the claims formulated by Schneider and Pea (2015, this issue) in previous CSCL discussions. It provides fingerposts for enriching and refining the concept of grounding from a pedagogical point of view. It also suggests using the…

The motivating example for this paper comes from a distributed health data network, the International Consortium of Orthopaedic Registries (ICOR), which aims to examine risk factors for orthopedic device failure for registries around the world. Unfortunately, regulatory, privacy, and propriety concerns made sharing of raw data impossible, even if…

The analysis of data collected from the interaction of users with educational and information technology has attracted much attention as a promising approach for advancing our understanding of the learning process. This promise motivated the emergence of the new research field, learning analytics, and its closely related discipline, educational…