Studies examining students' learning behavior predominantly employed rich video data as their main source of information due to the limited knowledge of computer vision and deep learning algorithms. However, one of the challenges faced during such observation is the strenuous task of coding large amounts of video data through repeated viewings. In…

Video compression and communication has been an important field over the past decades and critical for many applications, e.g., video on demand, video-conferencing, and remote education. In many applications, providing low-delay and error-resilient video transmission and increasing the coding efficiency are two major challenges. Low-delay and…

Typically developing (TD) children refer to objects uniquely in gesture (e.g., point at a cat) before they produce verbal labels for these objects ("cat"). The onset of such gestures predicts the onset of similar spoken words, showing a strong positive relation between early gestures and early words. We asked whether gesture plays the…

Increased attention to the relationships between affect and learning has led to the development of machine-learned models that are able to identify students' affective states in computerized learning environments. Data for these affect detectors have been collected from multiple modalities including physical sensors, dialogue logs, and logs of…

Objective: The study focused on children's nonverbal behavior in investigative interviews exploring suspicions of child abuse. The key aims were to determine whether non-verbal behavior in the pre-substantive phases of the interview predicted whether or not children would disclose the alleged abuse later in the interview and to identify…

In a sample of 711 ethnically diverse adolescents, the observed interpersonal dynamics of dyadic adolescent friendship interactions were coded to predict early adulthood tobacco, alcohol, and marijuana use. Deviant discussion content within the interactions was coded along with dyadic coregulation (i.e., interpersonal coordination, attention…

Reading aloud to students is an important topic in educational research. Previous research clearly identified effective components and benefits of reading aloud to elementary students; however, very little data addresses the exact wording of the kinds of questions teachers ask and the responses that students give during a read aloud. This study…

Forty-four pairs of Mexican-heritage and European-heritage US children were asked to characterize differences between two contrasting cultural patterns of working together in video clips that showed a) Mexican Indigenous-heritage children working together by collaborating, helping, observing others, and using nonverbal as well as verbal…

Maternal depression significantly influences parent-child interactions. While the existence of this impact is well established during playtime, little research has been conducted on the way that maternal depression relates to shared book reading. This is a particularly important activity because it relates to children's language and literacy…

The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…