Source code plagiarism is a common occurrence in undergraduate computer science education. Many source code plagiarism detection tools have been proposed to address this problem. However, most of these tools only measure the similarity between assignment submissions, and do not actually identify which are suspicious of plagiarism. This work…

An organization's infrastructure rests upon the premise that cybersecurity professionals have specific knowledge in administrating and protecting it against outside threats. Without this expertise, sensitive information could be leaked to malicious actors and cause damage to critical systems. In order to facilitate this process, the presented work…

In the 21st century, what does a defensible, equitable model of gifted and talented student identification look like? For too long, gifted education's reason for being has been unclear, and the students it has served have been from too narrow a segment of the student population. With renewed attention to equity and personalized learning, gifted…

Cyberbullying is the use of digital communication tools and spaces to inflict physical, mental, or emotional distress. This serious form of aggression is frequently targeted at, but not limited to, vulnerable populations. A common problem when creating machine learning models to identify cyberbullying is the availability of accurately annotated,…

In this article, I present my view on the significant developments and theoretical/empirical tipping points in nonverbal and verbal deception and lie detection from the last 30 years and on prospects for future research in this domain. I discuss three major shifts in deception detection research: (a) From observing target persons' nonverbal…

People re-identification has been a very active research topic recently in computer vision. It is an important application in surveillance system with disjoint cameras. This paper is focused on the implementation of a human re-identification system. First the face of detected people is divided into three parts and some soft-biometric traits are…

It is expected that children increasingly learn to identify errors throughout their schooling process and even before it. As a further step, however, some scholars have suggested how a culture of error should be implemented in the classroom for the student to be able not only to locate errors but also, and above all, to learn from them. Yet the…

To determine if a person is gifted or not, the government sets the criteria of identification since giftedness is an abstract concept. However, the standard has always been decided and affected by the attitudes of the education authority and the allocation of resources. The opportunities for some potential learners to participate in gifted…

Many states are attempting to identify schools that perform better than schools with similar populations. Such "beating-the-odds" schools offer opportunities to identify promising practices that can be implemented by other schools serving similar populations. This study uses data from the Michigan Department of Education to demonstrate…

Measures of student disadvantage--or risk--are critical components of equity-focused education policies. However, the risk measures used in contemporary policies have significant limitations, and despite continued advances in data infrastructure and analytic capacity, there has been little innovation in these measures for decades. We develop a new…

Measuring Early Learning Quality & Outcomes (MELQO) was initiated to address needs for child development and quality of early childhood education (ECE) data, specifically for low- and middle-income countries. Drawing from existing tools, MELQO convened a consortium to create open-source tools to be adapted to national contexts, simultaneously…

The Individuals with Disabilities Education Act (IDEA; P.L. 108-446) is the primary source of federal funding to states for the identification and education of children with disabilities. The majority of IDEA appropriations are allocated to states by formula to carry out activities under Part B, which covers 14 disability categories. Each state is…

The report provides an overview of Aboriginal learners (First Nations, Inuit, and Métis peoples) in British Columbia, Canada. Section 1 examines the data on transitions from K-12 to the post-secondary system. Section 2 discusses recent trends in the B.C. public post-secondary system including headcount, full-time equivalents and credentials.…

The G-DINA ("generalized deterministic inputs, noisy and gate") model is a generalization of the DINA model with more relaxed assumptions. In its saturated form, the G-DINA model is equivalent to other general models for cognitive diagnosis based on alternative link functions. When appropriate constraints are applied, several commonly used…

Response to intervention (RTI) can be considered an everyday practice in many parts of the United States, whereas, in Finland, only recently has a new framework for support in learning taken shape. Choosing Finland as the comparative partner for this policy paper is justified as its educational system has been widely referenced on the basis of…