An increasing number of individuals will be unable to retire comfortably amidst an international retirement savings crisis. Research suggests that behavioral factors contribute to inadequate retirement savings. We present a procedure that reframes the retirement savings decision, aimed at alleviating some of the negative effects of the behavioral…

The goal of this article was to examine gender-typed behavior longitudinally and to consider its relationship with sexual orientation in adulthood. Data were from 10,624 respondents who completed Wave 1 (adolescence), Wave 3 (emerging adulthood), and Wave 4 (early adulthood) of the National Longitudinal Study of Adolescent to Adult Health. First,…

The purpose of this study was to investigate the influence of neuroscience instruction on coach self-efficacy and self-reported coaching behaviors within the coaching dyad. This study used a qualitative research design employing in-depth, one-on-one interviews with life coaches. Purposeful, criterion sampling was used to select seven coaches who…

What is creativity? This chapter explores various definitions of creativity that have been proposed since the inception of creativity research, along with models and measures of the creative process. Classical approaches to creativity focus on what are known as two-criterion and three-criterion models. All models include some variation of novelty…

Language is one of the hallmarks of intelligence, demanding explanation in a theory of human cognition. However, language presents unique practical challenges for quantitative empirical research, making many linguistic theories difficult to test at naturalistic scales. Artificial neural network language models (LMs) provide a new tool for studying…

In high-stakes, large-scale, standardized tests with certain time limits, examinees are likely to engage in either one of the three types of behavior (e.g., van der Linden & Guo, 2008; Wang & Xu, 2015): solution behavior, rapid guessing behavior, and cheating behavior. Oftentimes examinees do not always solve all items due to various…

With the increasing adoption of Learning Management Systems (LMS) in colleges and universities, research in exploring the interaction data captured by these systems is promising in developing a better learning environment and improving teaching practice. Most of these research efforts focused on course-level variables to predict student…

Purpose: The purpose of Part II of this two-part paper is to uncover important differences in the nature of the three unlearning subprocesses, which call for different leadership interventions to motivate people to move through them. Design/methodology/approach: The paper draws on research in behavioral medicine and psychology to demonstrate that…

The recent popularity of models that capture the dynamic coevolution of both network structure and behavior has driven the need for summary indices to assess the adequacy of these models to reproduce dynamic properties of scientific or practical importance. Whereas there are several existing indices for assessing the ability of the model to…

Network analytic methods that are ubiquitous in other areas, such as systems neuroscience, have recently been used to test network theories in psychology, including intelligence research. The network or mutualism theory of intelligence proposes that the statistical associations among cognitive abilities (e.g., specific abilities such as vocabulary…

This paper addresses a key challenge in Educational Data Mining, namely to model student behavioral trajectories in order to provide a means for identifying students most at risk, with the goal of providing supportive interventions. While many forms of data including clickstream data or data from sensors have been used extensively in time series…

We investigated the effects of seeing the instructor's (i.e., the model's) face in video modeling examples on students' attention and their learning outcomes. Research with university students suggested that the model's face attracts students' attention away from what the model is doing, but this did not hamper learning. We aimed to investigate…

Phishing has become a preferred method among cyber criminals looking to gain access to confidential information. Although most businesses and governmental organizations provide employees with some sort of cyber security training, there is a lack of research examining whether such training methods work to actually reduce susceptibility to…

This dissertation presents various machine learning applications for predicting different cognitive states of students while they are using a vocabulary tutoring system, DSCoVAR. We conduct four studies, each of which includes a comprehensive analysis of behavioral and linguistic data and provides data-driven evidence for designing personalized…

Alcohol consumption and related negative consequences continues to be a systemic societal problem. College students are a population that has been identified as particularly high risk for a number of negative consequences as they are more likely to engage in binge drinking and heavy episodic drinking even when compared to same age non-college…