This chapter presents a critical analysis of generative AI (GenAI) detection tools in higher education assessments. The rapid advancement and widespread adoption of GenAI, particularly in education, necessitates a reevaluation of traditional academic integrity mechanisms. I explore the effectiveness, vulnerabilities, and ethical implications of AI…

Nationally, educators suspend Black students at greater rates than any other group. This disproportionality is fueled by stereotypes casting Black students as "troublemakers"--a label students too often internalize as part of their identities. Across two independent double-blind randomized field trials involving over 2,000 seventh…

Accurate identification of autism is a pressing challenge for rural, medically underserved communities. Tele-assessment could address some barriers to care by increasing access to expert diagnosticians, but questions remain regarding how best to implement these approaches. To gather community input regarding rural families' perceptions and use of…

Brief experimental analyses (BEA) have been primarily used to evaluate the effects of interventional variables on reading fluency deficits. This study expanded this area of research by examining spelling interventions for students with below grade level spelling achievement. Researchers analyzed interventions addressing motivation, practice…

Objective: This scoping review aimed to examine the application of eye-tracking technology in children with AttentionDeficit/Hyperactivity Disorder (ADHD), focusing on the scientific fields involved, methodologies employed, research goals, and outcomes related to its effectiveness. Method: Following PRISMA guidelines for Scoping Reviews, a total…

Schoolteacher and early childhood educator wellbeing is associated with their ability to provide high-quality educational experiences to students and children in their care. Given the importance of this topic, this systematic review sought to (1) identify available evidence-based wellbeing initiatives for educators and schoolteachers, (2) appraise…

This study aimed to determine the effectiveness of a designed training program for nurses toward early detection of developmental disabilities among children aged 0-3 years. A group of 21 licensed nurses with professional experience ranging from 5-11 years participated in the study. The participants completed the measurements to evaluate their…

One of the main goals of assignments in the academic environment is to assess the students' knowledge and mastery of a specific topic, and it is crucial to ensure that the work is original and has been solely made by the students to assess their competence acquisition. Therefore, Text-Matching Software Products (TMSPs) are used by academic…

The overriding aim of this study was to conduct a side-by-side comparative evaluation of two online suicide prevention gatekeeper-training programs: Question, Persuade, Refer (QPR) and Making Educators Partners in Youth Suicide Prevention (MEP). Specific aims included identifying program components, instructional methods, and technology elements…

The Self-Administered Interview (SAI©) is designed to elicit detailed witness reports in the aftermath of incidents. In two sets of meta-analyses, we compared the number of correct details reported, the number of incorrect details reported, and the accuracy of reports provided by witnesses in initial reports (SAI© vs. other reporting formats) and…

Although schools themselves cannot address resegregation, they can mitigate some of the detrimental effects of racial inequalities. Students of color internalize racial inequalities in educational environments at critical times in their identity formation. This internalization can lead to attitudes and behaviors that contribute to academic…

Following the switch to remote online teaching in the wake of the COVID-19 pandemic, the plant taxonomy course at the University of Georgia (UGA) switched to iNaturalist for the specimen collection portion of the course requirements. Building off extant rubrics, the instructors designed project guidelines for a fully online plant collection…

The rate of children being diagnosed with autism is growing rapidly. Currently, 1 in every 36 children born will go on to have an autism diagnosis (Centers for Disease Control and Prevention, 2023). Teachers and early educators working with young children do not have the training required to identify children at risk for this developmental…

Identification of likelihood for autism in the U.S. early intervention (EI) system facilitates referrals to diagnostic assessments and targets autism-specific needs. However, performance of autism screeners in high-likelihood preschool children and barriers to implementation need to be further studied. The current effectiveness-implementation…

Automatically detecting bugs in student program code is critical to enable formative feedback to help students pinpoint errors and resolve them. Deep learning models especially code2vec and ASTNN have shown great success for "large-scale" code classification. It is not clear, however, whether they can be effectively used for bug…