Research has begun to investigate the reliability of cannabis-intoxicated eyewitnesses; however, no studies have evaluated eyewitness memory among chronic cannabis users after a minimum 24-h abstinence. This study compared cannabis users' (n = 23) and nonusers' (n = 26) eyewitness recall/identification and investigated the relationship between…

In this research, we examined the effect of the prediction-observation-explanation (POE) method on learning of image formation by a plane mirror and pre-service teachers' opinions. Twenty pre-service science teachers studying at first grade in the Department of Science Education in Turkey participated in the research. We used a one group…

The research aims to examine the relationships between sensation seeking and positive and negative experience, emotional autonomy, and coping strategies in adolescents. The study group consisted of 371 adolescents who attended middle and high schools; the ages ranged from 11 to 17. 55.7 % of participants were female (N=137), and 44.3% were male…

Purpose: The purpose of this paper is to determine the contribution of personal factors towards career adaptability among fresh graduates who had been employed for less than two years. This cohort is considered as entry-level employees in organisations. Several dimensions of personal factors focussed in this study were self-esteem,…

Over the past half century, computational chemistry has evolved from a niche field to a ubiquitous pillar of modern chemical research. Driven by the increased demand for computational chemistry in research settings, the undergraduate curriculum has evolved alongside to ensure that students are well-equipped for modern research. Toward this end,…

Structural priming studies in production have demonstrated stronger priming effects for unexpected sentence structures (inverse preference effect). This is consistent with error-based implicit learning accounts that assume learning depends on prediction error. Such prediction error can be verb-specific, leading to strong priming when a verb that…

Background: Grades in college and university STEM courses are an important determinant of student persistence in STEM fields. Recent studies have used the grade offset/grade penalty method to explore why students have lower grades in STEM courses than their GPAs would predict. The results of these studies are in doubt; however, as they use GPA as…

In considering whether to retain the GRE in graduate school admissions, admissions committees often pursue two objectives: (a) performance in graduate school (e.g., admitting individuals who will perform better in classes and research), and (b) diversity/fairness (e.g., equal selection rates between demographic groups). Drawing upon HR research…

Racism remains a pervasive force around the world with widespread and well documented harmful consequences for members of marginalized racial groups. The psychological biases that maintain structural and interpersonal racism begin to emerge in early childhood, but with considerable individual variation--some children develop more racial bias than…

This research explores the use of eXplainable Artificial Intelligence (XAI) in Educational Data Mining (EDM) to improve the performance and explainability of artificial intelligence (AI) and machine learning (ML) models predicting at-risk students. Explainable predictions provide students and educators with more insight into at-risk indicators and…

Across the United States, our K-12 public schools have very low levels of principals persisting in their jobs. The national average for principal tenure is four years, and one out of every five principals in poverty districts leaves after one year (Levin et al., 2019). The tenure average of four years is a devastating statistic because, according…

Detecting wheel-spinning behaviors of students who interact with an Intelligent Tutoring System (ITS) is important for generating pertinent and effective feedback and developing more enriching learning experiences. This analysis compares decision tree and bagged tree models of student productive persistence (i.e., mastering a skill) using the…

Automated scoring of student language is a complex task that requires systems to emulate complex and multi-faceted human evaluation criteria. Summary scoring brings an additional layer of complexity to automated scoring because it involves two texts of differing lengths that must be compared. In this study, we present our approach to automate…

We sought to replicate prior findings that admissions tests' underprediction of female college performance was driven in part by the omission of Big 5 personality factors from the predictive model, using 5,400 college students. We investigated gender differences in an elaborated model subdividing the Big 5 into ten aspects. We found differences at…

Logistic regression is one of the most fundamental tools in predictive analytics. Graduate business analytics students are often familiarized with implementation of logistic regression using Python, R, SPSS, or other software packages. However, an understanding of the underlying maximum likelihood model and the mechanics of estimation are often…