In response to disruptions introduced to the job market by AI résumé screeners, this article introduces a novel theoretical framework for the life cycle of artificial intelligence systems to help unblackbox résumé screening AI systems. It then applies the AI life cycle framework to a digital case study of RChilli's job-résumé matching algorithm.…

Objective: Campus sexual misconduct causes adverse physical, mental, behavioral, reproductive, and financial consequences. Informing prevention efforts at federal, state, and institution levels requires valid data. We assessed the appropriateness of Clery Act Campus Crime Statistics data for evaluating campus sexual misconduct. Participants: We…

Background: High-quality feedback is crucial for academic success, driving student motivation and engagement while research explores effective delivery and student interactions. Advances in artificial intelligence (AI), particularly natural language processing (NLP), offer innovative methods for analyzing complex qualitative data such as feedback…

This cross-sectional study examines participants' comprehension of line graphs at different career stages, comparing first-year and third-year pre-service teachers (PSTs) with in-service teachers (ISTs). A 23-item line graph task aligned with Curcio's framework--"Reading the data, Reading between the data, and Reading beyond the…

Introducing kindergarten children to the engineering design process (EDP) is an important objective of early STEM education. Studies indicate that children often miss the crucial steps of testing and optimising during the EDP and do not persist in making solutions better. The present study explores how children's goal awareness, self-evaluation…

Higher education institutions have prioritized supporting undecided students with their major and career decisions for decades. This study used a U.S. public research-focused university's large-scale institutional data set and undecided student's retention and graduation rate predictors to demonstrate how to couple student and institutional data…

Racial bias in research impacts a study's relevancy, validity and reliability, though presently this aspect is not addressed in critical appraisal tools, and consequently appraisers may not take racial bias into account when assessing a paper's quality. Drawing on critical race theory (CRT) tenets that racism is ubiquitous and race a social…

Students graduating from secondary school in 2021 have received their education through some of the most contested years in recent history. This article argues that English text lists present a unique opportunity to engage students in a diverse range of ideas that can equip them to be active citizens in a rapidly transforming society. We argue…

Advances in mobile electroencephalography (EEG) technology have made it possible to examine covert cognitive processes in real-world settings such as student attention in the classroom. Here, we outline research using wired and wireless EEG technology to examine attention in elementary school children across increasingly naturalistic paradigms in…

The accounting profession is undergoing a radical change that supplants many historical accounting duties by requiring technical skills to be added to the accountant's tool chest. Stakeholders are increasingly adopting disruptive technologies, including data analytics, blockchain, artificial intelligence, and cloud computing. We reviewed 185…

Visual analysis is the predominant method of analysis in single-case research (SCR). However, most research suggests that agreement between visual analysts is poor, which may be due to a lack of clear guidelines and criteria for visual analysis, as well as variability in how individuals are trained. We developed a survey containing questions about…

Over the last decade, there has been a 10-fold increase in the number of published systematic reviews of prevalence. In meta-analyses of prevalence, the summary estimate represents an average prevalence from included studies. This estimate is truly informative only if there is no substantial heterogeneity among the different contexts being pooled.…

The Along digital SEL product marketed to teachers by Gradient Learning and the Chan Zuckerberg Initiative (CZI) promises to help teachers establish strong relationships with their students via an exchange of personal reflections. In so doing, it collects intimate personal information from students about their lives. Faith Boninger and Alex Molnar…

Statistical Analysis Software (SAS) is a widely used tool for data management analysis across a variety of fields. The procedure for item response theory (PROC IRT) is one to perform unidimensional and multidimensional item response theory (IRT) analysis for dichotomous and polytomous data. This review provides a summary of the features of PROC…

Purpose: The analysis of Ecological Momentary Assessment (EMA) data can be difficult to conceptualize due to the complexity of how the data are collected. The goal of this tutorial is to provide an overview of statistical considerations for analyzing observational data arising from EMA studies. Method: EMA data are collected in a variety of ways,…