The first-year students join college with several expectations in their mind about their upcoming academic endeavors and their career. The first-year of college is the most crucial year of a students' college career. This dissertation explores first-year students' perceptions/ expectation of academic rigor and academic help-seeking in college as…

As evidence for the discriminant validity of SCT continues to emerge, researchers must further examine the ways in which SCT affects functioning in order to eventually tailor treatments to this population. The current study examined whether SCT symptoms in college students are predictive of social functioning and risky behavior, particularly…

Despite its importance to structural equation modeling, model evaluation remains underdeveloped in the Bayesian SEM framework. Posterior predictive p-values (PPP) and deviance information criteria (DIC) are now available in popular software for Bayesian model evaluation, but they remain under-utilized. This is largely due to the lack of…

School shootings are the subject of debate in the media and in communities across the United States, and there is much discussion about prevention and the root causes of such attacks. But what does research say about these tragic events and their perpetrators? Do all shooters fit a specific profile? And what meaningful steps can schools and…

Performance prediction has emerged as one of the most popular approaches to leverage large volume of online learning data. In the majority of current works, performance prediction is based on students' past activities in graded learning resources (such as problems and quizzes), while their activities in non-graded resources (such as reading…

Recent works on Intelligent Tutoring Systems have focused on more complicated knowledge domains, which pose challenges in automated assessment of student performance. In particular, while the system can log every user action and keep track of the student's solution state, it is unable to determine the hidden intermediate steps leading to such…

Academic achievement of a student in college always has a far-reaching impact on his further development. With the rise of the ubiquitous sensing technology, students' digital footprints in campus can be collected to gain insights into their daily behaviours and predict their academic achievements. In this paper, we propose a framework named…

This paper discusses how a dialogue-based tutoring system makes decisions to proactively scaffold students during conceptual discussions about physics. The tutor uses a student model to predict the likelihood that the student will answer the next question in a dialogue script correctly. Based on these predictions, the tutor will, step by step,…

The requirements to future specialists in professional education accentuate the qualities of their adaptability, constant self-improvement, capacity to adjust to the new demand in the profession. These qualities are especially important for students of pedagogy and art preparing for the career of actors-instructors, i.e. instructors teaching…

In response to the high school dropout crisis, which comes with great economic and social costs, early warning systems (EWSs) have been developed to systematically predict and improve student outcomes. The purpose of this study is to evaluate different statistical and machine learning methods to predict high school student performance and improve…

Introduction: International literature indicates that self-efficacy and resilience are interrelated and they both predict teachers' burnout and stress. In order to better understand their intertwining relationship, the present study was conducted to test the hypothesis that resilience mediates the effect of efficacy beliefs to burnout and stress.…

Research has demonstrated that students' learning outcomes and motivation to learn are influenced by the visual design of learning technologies (e.g., learning management systems or LMS). One aspect of LMS design that has not been thoroughly investigated is visual complexity. In two experiments, postsecondary students rated the visual complexity…

The aim of this study is to examine the views of the counselor candidates about preventive interventions and problem behaviors, and the use of popular productions in increasing competencies related to preventive interventions in the context of "13 Reasons Why" series. The participants of this study are senior students of Guidance and…

This study (N=196) examined the extent to which the frequency of parent-child math activities in preschool was associated with children's developmental trajectories of math skills from preschool to primary school. Parents reported the frequency of their involvement in a variety of math activities with their preschool children. Children were tested…

Autism spectrum disorder is a neurodevelopmental disorder that is characterized by impairments in social communication, restricted interests, and repetitive behaviors. Many studies have demonstrated atypical responses to audiovisual sensory inputs, particularly those containing sociolinguistic information. It is currently unclear whether these…