Personalized learning has become the most notable application of big data in primary and secondary schools in the United States. The combination of big data and adaptive technological platforms is heralded as a revolution that could transform education, overcoming the outdated classroom model, and realizing the progressive vision of…

Big Data can radically transform education by enabling personalized learning, deep student modeling, and true longitudinal studies that compare changes across classrooms, regions, and years. With these promises, however, come risks to individual privacy and educational validity, along with deep policy and ethical issues. Education is largely a…

NCVER's latest strategic plan outlines the vision and mission, and 7 strategic objectives and interrelated actions, that will direct company activities for the next 3 years. It also details the values that underpin our culture, our commitment to quality and integrity, measures of success against the objectives, and principles of practice and…

This report identifies effective strategies to tackle skills imbalances in South Africa. It provides an assessment of practices and policies in the following areas: the collection and use of information on skill needs to foster a better alignment of skills acquisitions with labour market needs; education and training policies targeting skills…

This article presents a case study of the 2006-2007 Asian American and Pacific Islander (AAPI) student-led Count Me In! (CMI) campaign. This successful campaign convinced the University of California (UC) to account for 23 AAPI ethnic identities in its data system. Celebrated as a victory for AAPI interests in discourses over racial equity in…

The current study aimed to review studies on computational thinking (CT) indexed in Web of Science (WOS) and ERIC databases. A thorough search in electronic databases revealed 96 studies on computational thinking which were published between 2006 and 2016. Studies were exposed to a quantitative content analysis through using an article control…

The "Integrated Approaches to Supporting Child Development and Improving Family Economic Security" project was conducted by Mathematica Policy Research and Northwestern University for the Office of Planning, Research and Evaluation (OPRE), in the Administration for Children and Families (ACF) at the U.S. Department of Health and Human…

The purpose of this document is to recommend practices that will help education agencies collect, report, and use attendance data to improve student and school outcomes. This publication substantively revises and expands the information included in "Every School Day Counts: The Forum Guide to Collecting and Using Attendance Data,"…

The current climate of career and technical administration requirements in all 50 states was detailed and explored. An increasing number of states are not requiring specific career-technical administration certification/licensure in order to oversee secondary career and technical education (CTE) programs, with more states moving towards a general…

Direct Behavior Ratings (DBRs) are behavioral assessment methods that combine the benefits of systematic direct observation and behavior rating scales. That is, DBRs involve the observation of operationally defined target behaviors during a prespecified observation period and the evaluation of those behaviors via brief ratings. In this way, DBR is…

Background: Data representing people's behaviour, attitudes, feelings and relationships are increasingly being harvested from social media platforms and re-used for research purposes. This can be ethically problematic, even where such data exist in the public domain. We set out to explore how the academic community is addressing these challenges…

During the 2014-2015 school year, a mixed-methods study was conducted in a Midwestern urban school district with twenty-five school social workers to assess professional practice utilizing an electronic data system. Given the emphasis in the literature on mandates for school social workers to be actively engaged in positive behavior support and…

The National Study of Protest Events (NSPE) employed hypernetwork sampling to generate the first-ever nationally representative sample of protest events. Nearly complete information about various event characteristics was collected from participants in 1,037 unique protests across the United States in 2010 to 2011. The first part of this article…

There are numerous literature including professional guides that describes how to collect qualitative data, specifically in information systems (IS) studies. In practice, the reality is different from the theoretical academic materials. This is the part where many early career researchers and postgraduate students continue to be challenged,…

I argue that Ricoeur's "preunderstandings" can be used as a heuristic to aid researchers who collect narratives as data (1) to identify cultural meanings that become resources for participants' positioning work, (2) to ground the identified cultural meanings in participants' experiences, and (3) to understand participants'…