The purpose of this qualitative descriptive study was to explore how novice special education teachers describe the influence of collegial emotional, instrumental, informational, and appraisal support in public charter schools on their career decisions in the southwestern region of the United States. House's theory of social support and Vygotsky's…

Although higher education institutions may be described as forward-thinking in areas such as research, their teaching practices are often perceived as lacking in innovation. This disjunction has led educators, researchers, and policymakers to question the role and implementation of change in higher education contexts and the factors that affect…

This paper argues for three aspects of tolerance with respect to QCA research: tolerance with respect to different approaches to QCA; producing QCA research with tolerance (work that is resistant to criticism); and for QCA researchers to be clear about the tolerance of the solutions they present -- especially in terms of calibration and truth…

This article outlines a stakeholder-created research agenda to guide future early intervention research for autistic children. We collaborated with 10 autism service providers, 10 parents of individuals with autism, and 10 autistic people across a total of 18 small group and 2 inter-group meetings occurring over 2 years. Together, we synthesized…

Artificial intelligence in higher education is becoming more prevalent as it promises improvements and acceleration of administrative processes concerning student support, aiming for increasing student success and graduation rates. For instance, Academic Performance Prediction (APP) provides individual feedback and serves as the foundation for…

Amid concerns about creating internationally recognized world-class universities in China, this study aims to explore the factors that influence the selection of two prestigious universities in China, namely Tsinghua and Beida, by high school students. In light of concerns surrounding the establishment of globally renowned universities in China,…

Increased automation transparency can improve the accuracy of automation use but can lead to increased bias towards agreeing with advice. Information about the automation's confidence in its advice may also increase the predictability of automation errors. We examined the effects of providing automation transparency, automation confidence…

Past research on people's moral judgments about moral dilemmas has revealed a connection between utilitarian judgment and reflective cognitive style. This has traditionally been interpreted as reflection is conducive to utilitarianism. However, recent research shows that the connection between reflective cognitive style and utilitarian judgments…

Comparative Judgement (CJ) is traditionally and primarily used to compare written texts. In this study we explored whether we could extend its use to comparing audio files. We used GCSE Music portfolios which contained a mix of audio recordings, musical scores and text documents. Fifteen judges completed two exercises: one comparing musical…

Principal autonomy has been identified as an important ingredient in effective and healthy schools. However, little is known about the various dimensions of the phenomenon and how it takes form in different contexts. This article presents an analytical device contributing to further understand the complex nature of principal autonomy. The device…

Data-based decision-making has been a frequently used policy and practice intervention used in schools to help inform the decision-making processes of educational practitioners, with the aim of improving student outcomes. Interim benchmark assessments are designed by commercial test developers to support educators in this framework. In fact, the…

This qualitative case study explored the relationship between teachers' trust of their principals and their decisions to implement feedback. Four tenured teachers who teach in a public school district in Pennsylvania participated in the study. Through semi-structured interviews, participants shared their experiences receiving feedback and their…

This quantitative study investigates the predictive power of machine learning (ML) models on degree completion among adult learners in higher education, emphasizing the enhancement of data-driven decision-making (DDDM). By analyzing three ML models - Random Forest, Gradient-Boosting machine (GBM), and CART Decision Tree - within a not-for-profit,…

Evaluation competency frameworks across the globe regard evaluation approaches as important to know and use in practice. Prior classifications have been developed to aid in understanding important differences among varying approaches. Nevertheless, there is an opportunity for a new classification of evaluation approaches, in particular one that is…

School psychologists often face complex ethical and legal issues in their work, which become more challenging as the needs of students and school systems evolve. When faced with ethical dilemmas, it can be difficult for school psychologists to determine the best course of action, particularly when there is no clear solution. This study explored…