In recent years, a multitude of datasets of human-human conversations has been released for the main purpose of training conversational agents based on data-hungry artificial neural networks. In this paper, we argue that datasets of this sort represent a useful and underexplored source to validate, complement, and enhance cognitive studies on…

High-Leverage Practices (HLPs) are a deceptively simple concept in the field of education. On the one hand it is amazing to have a list of key practices that all teachers should learn and be able to implement when teaching students of all backgrounds and ability levels, including those with disabilities. On the other, teaching is rarely simple,…

Digital phenotyping is defined as the "moment-by-moment quantification of the individual level human phenotype in situ using data from personal digital devices". The passive data collected by smartphone devices, including GPS, accelerometer and communication logs, can provide insights on users' behaviors that could be related to various…

Research conducted to date has highlighted barriers to initial adoption of universal behavior screening in schools. However, little is known regarding the experiences of those implementing these procedures and there have been no studies conducted examining the experiences of educators in different stages of implementing various tiered systems of…

In various fields, including college admission, medical board certifications, and military recruitment, high-stakes decisions are frequently made based on scores obtained from large-scale assessments. These decisions necessitate precise and reliable scores that enable valid inferences to be drawn about test-takers. However, the ability of such…

To ensure all students, including historically marginalized students, reached their highest capacity, there was a focus on equity in education at the state and national levels. Minimal research existed where researchers explored principals' educational equity mindset, and I found a gap in the literature concerning the use of principals'…

As a digital learning medium, serious games can be powerful, immersive educational vehicles and provide large data streams for understanding player behavior. Educational data mining and learning analytics can effectively leverage big data in this context to heighten insight into student trajectories and behavior profiles. In application of these…

School-Wide Positive Behavioral Interventions and Supports (SWPBIS) are an integral part of schools across the United States. When implementing SWPBIS, academic achievement, emotional regulation, prosocial behavior increases while behavioral problems, bullying, exclusionary discipline teacher stress and teacher burnout decrease. Despite the…

The purpose of this paper is to analyze various dimensions for measurement of human behavior. Human behaviour is complex. Behaviors, emotions, cognitions, and attitudes can rarely be described in terms of one or two variables. It is multimodal in nature. Furthermore, the traits, modalities and dimensions cannot be measured directly, but must be…

In large-scale assessments, performance differences across different groups are regularly found. These group differences (e.g., gender differences) are often relevant for educational policy decisions and measures. However, the formation of these group differences usually remains unclear. We propose an approach for investigating this formation by…

This article reviews how National Assessment of Educational Progress (NAEP) has come to collect and analyze data about cognitive and behavioral processes (process data) in the transition to digital assessment technologies over the past two decades. An ordered five-level structure is proposed for describing the uses of process data. The levels in…

Taking action to address health-related chronic absenteeism can have a powerful impact on students' academic success and build the foundation for healthy, successful lives. This document focuses on providing educators, particularly school district decision-makers, with knowledge and practical guidance for creating meaningful change to address…

The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…