Despite the emergence of test-optional policies, standardized admission tests continue shaping the college composition and financial aid prospects of hundreds of thousands of students. This is concerning for the following reasons: (a) standardized test results have historically favored test-takers from wealthier and majority backgrounds, (b) test…

The impact of the coronavirus (COVID-19) pandemic on families of young children with disabilities is well documented; however, there is little published research on the experiences of pediatricians and Part C Early Intervention (EI) personnel during the pandemic. This study examined the collective experiences of general pediatricians and Part C EI…

We aimed to understand the relation between child maltreatment and special education (SPED) service evaluation referrals in U.S. childcare settings. Extant data (N = 1,354) from the Longitudinal Studies of Child Abuse and Neglect (LONGSCAN) was used to address the study aims. Results indicated that the odds of teacher-initiated service evaluation…

This paper analyzes essay writing in AI (ChatGPT) and high school students, focusing on their use of specific details. Discussing the writing examples from Waltzer, Cox, and Heyman's study, we employ Aristotle's rhetorical theory to explore how clarity is achieved through specificity in writing. The analysis reveals both ChatGPT and students…

This study explores machine learning (ML) approaches for identifying gifted students by integrating academic and socioemotional characteristics from the data collected with the Having Opportunities Promotes Excellence teacher rating scale. By using the Gaussian Mixture Model (GMM) and ML approaches, including support vector machine (SVM) and…

It is very important to identify talented students as soon as they are admitted to college so that appropriate resources are provided and allocated to them to optimize and excel in their education. Currently, this process is labor-intensive and time-consuming, as it involves manual reviews of each student's academic record. This raises the…

Background: Attention Deficit Hyperactivity Disorder (ADHD) is a common neurodevelopmental condition, more often diagnosed in males. In many individuals, particularly females, ADHD is diagnosed later or missed, the reasons for this are not fully understood. Timely diagnosis is needed to provide support, management, and treatment to improve…

This paper examines how African Diaspora Literacy (ADL) can be meaningfully integrated into elementary classrooms to center Black histories, cultures, and identities. Grounded in Black educational traditions and critical inquiry, the study explores how two teachers--one teaching African Studies to grades K-5 and another teaching fifth…

Purpose: This study addresses the challenge of identifying developmental language disorder (DLD) in bilingual children. Despite the broad range of language measurements documented in the literature, their individual contribution to a DLD diagnosis remains unclear. Administrating a high number of tests will yield a holistic child view, but it needs…

Despite facing systemic and persistent exclusion from STEM careers, Black and Latine youth show rising STEM aspirations during adolescence under certain conditions. Guided by meaning-making and career development perspectives, this study explores how ethnic-racial identity and career outcome expectations predict STEM aspirations among Black and…

Students encounter hundreds of word problems throughout the elementary grades and on standardized assessments through high school. To demonstrate proficiency on these measures of mathematics competency, students must be skilled in solving word problems. Early detection of word-problem difficulty is essential, and screeners play an important role…

Background/purpose: This paper systematically reviews current advancements in AI-based diagnostic tools and assistive technologies, analyzing their influence on the early detection, treatment, and educational support of autism spectrum disorders (ASDs). The review aims to identify both the benefits and challenges of incorporating these…

Early identification of schools with a high percentage of students at risk of learning poverty is crucial for effective and targeted interventions. This study investigates the use of an innovative combination of large-scale administrative datasets and advanced statistical techniques to predict schools at risk of learning poverty in Italy in the…

Recent advancements in artificial intelligence (AI) technologies especially generative AI (GenAI) are promising to support the digital transformation of education system. This study investigates how university students and research scholars across Science, Social Science, and Technology disciplines utilise AI technologies for tasks such as…

Yearly, thousands of international students seek the United States to further their education, bringing cultural and financial capital into the country. Though previous studies have examined international students' experiences adapting to the receiving country, research is needed to investigate their lived experiences in a predominantly White…