Classroom observations are frequently conducted with the purpose of comparing the behavior of a target student to that of other peers within the same classroom. A variety of procedures may be utilized by researchers and practitioners to collect such data; however, little is known of the accuracy of estimates of behavior produced by such procedures…

With the increased emphasis on the benefits of self-regulated learning (SRL), it is important to make use of the huge amounts of educational data generated from online learning environments to identify the appropriate educational data mining (EDM) techniques that can help explore and understand online learners' behavioral patterns. Understanding…

For decades, self-report instruments -- which rely heavily on students' perceptions and beliefs -- have been the dominant way of measuring motivation and strategy use. Event-based measures based on online trace data arguably has the potential to remove analytical restrictions of self-report measures. The purpose of this study is therefore to…

This paper presents three multimodal learning analytic approaches from a hands-on learning activity. We use video, audio, gesture and bio-physiology data from a two-condition study (N = 20), to identify correlations between the multimodal data, experimental condition, and two learning outcomes: design quality and learning. The three approaches…

Since MOOC is suffering high dropout rate, researchers try to explore the reasons and mitigate it. Focusing on this task, we employ a composite model to infer behaviors of learners in the coming weeks based on his/her history log of learning activities, including interaction with video lectures, participation in discussion forum, and performance…

Engineering design is a complex process both for students to participate in and for instructors to assess. Informed designers use the key strategy of conducting experiments as they test ideas to inform next steps. Conversely, beginning designers experiment less, often with confounding variables. These behaviours are not easy to assess in…

The phenomenon of low fertility has been negatively impacted on the social structure of the educational environment in Taiwan. To increase the learning effectiveness of students became the most important issue for the Universities in Taiwan. Due to the subjective judgment of evaluators and the attributes of influenced factors are always fuzzy, it…

In educational technology and learning sciences, there are multiple uses for a predictive model of whether a student will perform a task correctly or not. For example, an intelligent tutoring system may use such a model to estimate whether or not a student has mastered a skill. We analyze the significance of data recency in making such…

This paper discusses Multi-Feature Hierarchical Sequential Pattern Mining, MFH-SPAM, a novel algorithm that efficiently extracts patterns from students' learning activity sequences. This algorithm extends an existing sequential pattern mining algorithm by dynamically selecting the level of specificity for hierarchically-defined features…

This study was conducted to determine if a growing, urban school district was adequately addressing the academic, social-emotional and behavioral needs of students identified as homeless under the McKinney-Vento Act. McKinney-Vento eligible students were compared to non-homeless virtual twins. Each twin was created through averaging three…

This study was conducted to determine if a growing, urban school district was adequately addressing the academic, social-emotional and behavioral needs of students identified as homeless under the McKinney-Vento Act. McKinney-Vento eligible students were compared to non-homeless virtual twins. Each twin was created through averaging three…

This study was conducted to determine if a growing, urban school district was adequately addressing the academic, social-emotional and behavioral needs of students identified as homeless under the McKinney-Vento Act. McKinney-Vento eligible students were compared to non-homeless virtual twins. Each twin was created through averaging three…

Loss aversion and reference dependence are 2 keystones of behavioral theories of choice, but little is known about their underlying cognitive processes. We suggest an additional account for loss aversion that supplements the current account of the value encoding of attributes as gains or losses relative to a reference point, introducing a value…

Disordered eating behaviors and substance use are two risk factors for the development of serious psychopathology and health concerns in adulthood. Despite the negative outcomes associated with these risky behaviors, few studies have examined potential associations between these risk factors as they occur during adolescence. The importance of…

In 2003 Australia was one of the first countries to develop an integrated national policy, called the National Safe Schools Framework (NSSF), for the prevention and management of violence, bullying, and other aggressive behaviors. The effectiveness of this framework has not yet been formally evaluated. Cross-sectional data collected in 2007 from…