In recent years, European universities and other stakeholders have taken interest in career tracking in doctoral education as one of the ways to better understand the potential professional future of doctoral candidates. This report reflects the outcomes of the work of the European University Association-Council for Doctoral Education (EUA-CDE)…

The purpose of this brief is to provide information about how to evaluate school climate at the primary and secondary levels. Norms and ranges are provided and based on a national data; this data can help schools to contextualize local data. Information for interpreting the data and unit if for data-based decision making is also included.

This report summarises the results of the project "Measuring Learning Mobility in Vocational Education and Training" (specific contract n° VC/2019/0024 signed between Directorate-General for Employment, Social Affairs and Inclusion, Unit E3 and GOPA, under the Eurostat framework contract 2018.0086). The current project has aimed at…

This study investigates the issue of the goodness of fit of different skills assessment models using both synthetic and real data. Synthetic data is generated from the different skills assessment models. The results show wide differences of performances between the skills assessment models over synthetic data sets. The set of relative performances…

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…

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…

The proceedings of the 18th edition of Latin American Conference on Learning Technologies (LACLO) demonstrates the developments in the research of learning science, learning resources, challenges and solutions. This Proceedings book showcases a collection of quality articles that explores and discusses trending topics in education in the upcoming…

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 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…

Data used in learning analytics rarely provide strong and clear signals about how learners process content. As a result, learning as a process is not clearly described for learners or for learning scientists. Gaševic, Dawson, and Siemens (2015) urged data be sought that more straightforwardly describe processes in terms of events within learning…

A lot of attention has been given to the role failure plays in learning and innovation. Yet, we know little about the conditions necessary for the experience to result in positive outcomes. In this study, we sought to answer three research questions: (1) What is the relationship among attend, interpret, and respond when experiencing failures…