Privacy workforce development is a growing need as organizations struggle to find qualified privacy professionals such as Data Protection Officers and privacy engineers. Little has been written about the availability of formal privacy education opportunities that could satisfy this demand. This study inventoried the current state of formal privacy…

Objective: Community colleges across the country are making dramatic shifts away from traditional reliance on placement testing for developmental education and toward using high school measures to assess college-readiness. Yet the views of faculty dealing with these changes, including their perspectives on the quality and usefulness of high school…

Prospective teachers and cryptography students use programming, statistics and guile to enrich both their courses.

Student learning benefits from individual support and feedback. This type of support does not scale well especially in large classes. A system was built to automate the delivery of individual support and feedback on Excel assignments in information systems and analytics courses. The system embeds instructional scaffolding in the distributed…

The objective of the research is to develop a methodology to analyse a set of data extracted from a learning management system, in order to implement a dashboard, which can be used by teachers to make timely and relevant decisions to improve the teaching-learning processes. The methodology used consisted of analysing 9,257 records extracted…

Purpose: Currently, in the education data use literature, there is a lack of research and examples that consider the early steps of filtering, organizing and visualizing data to inform decision-making. The purpose of this study is to describe how school leaders and researchers visualized and jointly made sense of data from a common learning…

Large-scale learning assessments can be used to generate performance and contextual data on student learning outcomes. They can be national, regional, or international; school based or household based. The UNESCO International Institute for Educational Planning (IIEP-UNESCO) has conducted a qualitative study to explore both how and why learning…

Sentiment Analysis is a field of Natural Language Processing which aims at classifying the author's sentiment in text. This paper first describes a sentiment analysis model for students' comments about professor performance. The model achieved impressive results for comments collected from student surveys conducted at a private university in…

This volume brings together experts on various aspects of education to address many of the emerging issues and problems that affect how data are being used or misused in educational contexts. Readers will learn about the importance of using data effectively, responsibly, and ethically to fully understand how cognitive fallacies occur and how they…

To support states in improving educational results and functional outcomes for children with disabilities while ensuring compliance with Individuals with Disabilities Education Act (IDEA) through state monitoring activities, a six-step inquiry process has been developed. The six steps describe a chronological process to assist states in selecting…

This series of rapid briefs is being developed by the Wisconsin-Minnesota Comprehensive Center - Region 10 (WMCC10). The purpose of these briefs is to provide succinct and timely guidance on best practices for schools and school-based early learning programs regarding the assessment of student learning, with the goal of informing instructional…

An increasing number of high schools have adopted Tier 1 PBIS; however, implementation of advanced tiers of PBIS in high schools is less common and specific guidance is scarce. To address this need and better understand the level of support needed to successfully implement advanced tiers of PBIS at the high school level, the National Center on…

As educators confront the challenge of remediating COVID-19 learning loss--and policymakers wrestle with measuring it amid widespread discontent with testing--now is an apt time to consider how much of the current accountability and assessment regime is truly necessary. This report examines the state of testing post-March 2020 and explores how a…

A significant amount of research has gone into predicting student performance and many studies have been conducted to predict why students drop out. A variety of data including digital footprints, socio-economic data, financial data, and psychological aspects have been used to predict student performance at the test, course, or program level.…

This Equity Tool, intended to support when critically reading a research study/report, provides a brief introduction to key concepts and issues involved in using largescale research, calling attention to high profile controversies, and providing explicit linkages to desegregation areas (race, sex, nationality, religion). The first part (Table 1)…