To assemble a high-quality test, psychometricians rely on subject matter experts (SMEs) to write high-quality items. However, SMEs are not typically given the opportunity to provide input on which content standards are most suitable for multiple-choice questions (MCQs). In the present study, we explored the relationship between perceived MCQ…

This study investigated college students' career maturity as a mediator of the effect of professional identity on academic achievement. The researchers developed a structural equation model and a research hypothesis using the Chinese college students' professional identity scale, career maturity scale, and academic achievement scale. After…

When a situation could lead to multiple mutually exclusive consequences, recent research shows that people automatically generate multiple predictive inferences in memory. Several theoretical mechanisms have been proposed to account for the generation of predictive inferences. One hypothesis is that inferences are minimally encoded, represented…

Background: Making accurate diagnoses in teams requires complex collaborative diagnostic reasoning skills, which require extensive training. In this study, we investigated broad content-independent behavioral indicators of diagnostic accuracy and checked whether and how quickly diagnostic accuracy could be predicted from these behavioral…

The global outbreak of the new coronavirus epidemic has promoted the development of intelligent education and the utilization of online learning systems. In order to provide students with intelligent services, such as cognitive diagnosis and personalized exercises recommendation, a fundamental task is the concept tagging for exercises, which…

In recent years, the rapid growth of Massive Open Online Courses (MOOCs) has attracted much attention for related research. Besides, one of the main challenges in MOOCs is the high dropout or low completion rate. Early dropout prediction algorithms aim the educational institutes to retain the students for the related course. There are several…

In this article, I present a new multivariate regression model for analyzing outcomes with network dependence. The model is capable to account for two types of outcome dependence including the mean dependence that allows the outcome to depend on selected features of a known dependence network and the error dependence that allows the outcome to be…

This research examines the relationship between prerequisite algebra knowledge and graduate corporate finance course performance. Standardized math questions designed for an undergraduate introductory finance course also predict quantitative performance metrics among 128 business graduate students. Results demonstrate that prerequisite math…

The present research examined whether U.S. infants can recognize in others a pattern of helping or hindering after watching such behaviors across multiple scenarios. Infants at 17 months watched three familiarization events in which a person (recipient) failed to achieve various goals and another person (actor) always helped or hindered the…

Responding to a prospective memory task in the course of an ongoing activity requires switching tasks, which typically comes at a cost in performing the ongoing activity. Similarly, when the prospective memory task is deactivated, a cost can occur when previously relevant prospective memory targets appear in the course of the ongoing activity. In…

A disadvantage to online clothes shopping is the inability to try on clothing to test the fit. A class project is discussed where students consult with the CEO of an online mensware clothing company to explore ways in which an online clothing customer can be assured of a superior fit by developing statistical models based on a shopper's height and…

This study helps improve the early prediction of student performance by RNN-FitNets, which applies knowledge distillation (KD) to the time series direction of the recurrent neural network (RNN) model. The RNN-FitNets replaces the teacher model in KD with "an RNN model with a long-term time-series in which the features during the entire course…

Over thirty years after such systems were first developed, the Integrated Library System underlies most operations of an academic library. Yet in the literature, its day-to-day maintenance is often reduced to a list of tasks. Through interviews with sixteen system maintainers, this study attempts to develop an experiential understanding of its…

Transportation Security is considered one of the important aspects of U. S. Critical Infrastructure resilience and civil security. However, safety issues in transportation regarding 'struck-by' incidents involving Emergency First Responders (EFRs) (Fire, Police, and EMS) while performing essential duties on roadways stand to diminish this…

This case study examines the use of electronic resources in academic institutions and the difficulties in forecasting their usage. By employing time series analysis-based models, the study forecasts the utilization of e-resources from 2012 to 2021. It concludes that both Autoregressive Integrated Moving Average (ARIMA) and Error, Trend, Seasonal…