A historic period of state divestment in public higher education, exacerbated by the "Great Recession" and attendant financial repercussions, has significantly altered public higher education financing. The most significant impact has been cost shift from the state to students via increasing tuition rates. These changes threaten student…

In this dissertation I argue that truth-conditional semantics for vague predicates, combined with a Bayesian account of statistical inference incorporating knowledge of truth-conditions of utterances, generates false predictions regarding negations and metalinguistic inference. I thus propose a fundamentally probabilistic semantics for vagueness…

This longitudinal study (2002-2014) investigates the stability of rating characteristics of a large group of raters over time in the context of the writing paper of a national high-stakes examination. The study uses one measure of rater severity and two measures of rater consistency. The results suggest that the rating characteristics of…

Solving arithmetic word problems is a complex task that requires individuals to activate their working memory resources, as well as the correct performance of the underlying executive processes involved in order to inhibit semantic biases or superficial responses caused by the problem's statement. This paper describes a study carried out with 135…

Despite the importance of retirement savings, many individuals retire with lack of adequate retirement savings. While calculating retirement savings needs was found to enhance retirement savings, little is known about what underlies this enhancement. Applying the theory of planned behavior (TPB), we developed a model in which psychological factors…

Reading comprehension is the goal of reading, and making inferences is vital. Authors usually expect readers to make multiple types of inferences, including anaphoric, background knowledge, predictive, and retrospective. Common core assessments include all of these, yet instructional materials focus mostly on only one type, retrospective. This…

Maternal depression and anxiety are potential risk factors to children's language environments and development. Though existing work has examined relations between these constructs, further work is needed accounting for both depression and anxiety and using more direct measures of the home language environment and children's language development.…

Relationships with teachers are a central component of a student's school environment, and have been shown to be related to school engagement and persistence in secondary school. Working alliance is a conceptualization of professional relationships that emphasizes not only the emotional bond between a professional and their client, but also their…

Causal reasoning is a fundamental cognitive process that supports a wide range of learning activities such as making predictions and inferences, explaining phenomena, and drawing conclusions. In physics learning, causal reasoning plays an important role in developing conceptual understanding and problem-solving skills. This study builds off the…

It is well established that phonological awareness (PA) and rapid automatized naming (RAN) tasks reliably predict children's developing word reading abilities across a wide range of languages. However, existing research has not yet demonstrated unequivocally whether RAN and PA are independently and causally linked to reading, nor has it fully…

Based on the achievement goal theory, this experimental study explored the influence of predictive and descriptive learning analytics dashboards on graduate students' motivation and statistics anxiety in an online graduate-level statistics course. Participants were randomly assigned into one of three groups: (1) predictive dashboard; (2)…

The NAEP EDM Competition required participants to predict efficient test-taking behavior based on log data. This paper describes our top-down approach for engineering features by means of psychometric modeling, aiming at machine learning for the predictive classification task. For feature engineering, we employed, among others, the Log-Normal…

The Big Data for Education Spoke of the NSF Northeast Big Data Innovation Hub and ETS co-sponsored an educational data mining competition in which contestants were asked to predict efficient time use on the NAEP 8th grade mathematics computer-based assessment, based on the log file of a student's actions on a prior portion of the assessment. In…

This study aims to explore the frequency and extent of principals' use of systems thinking activities in Israel; to examine whether principals' gender and seniority predict their systems thinking activities; and to determine how systems thinking activities are related to school outcomes. Results indicated that principals' seniority predicted their…

It is observed that the appearance of aggression and violent anti-social behavior in sports contradicts the Olimpia culture inherent in sports. Therefore, this research was conducted in order to reveal the causes and consequences of negative behaviors observed in sports, to examine the empathy skills and moral decision-making attitudes of athletes…