The teaching practicum, which is an integral part of any teacher's education, is considered the most crucial and influential stage for student teachers. This study explored the commonalities and differences in teaching practicum programs in three teacher education institutions in Cambodia. Employing a cross-case analysis, the author triangulated…

Pair programming is a technique in which two students collaborate on programming tasks. This study aimed to investigate attitudes, toward pair programming with a focus on anxiety, motivation, stress, and efficiency. The sample population consisted of 168 students from three primary schools in Vojvodina (Serbia). The students were aged 6.5-11 years…

Reading anxiety measures are newly available in English, but none is available in Arabic. The goals of the present study were to adapt the English Reading Anxiety in College Students (RACS) scale to Arabic-speaking college students (RACS-Arabic), evaluate its reliability and other psychometric properties in comparison to the English US sample, and…

This dissertation explores the impact of physical campus spaces on the sense of belonging among commuter students. Drawing on qualitative data collected through photography, videos, interviews, observations, and campus materials, this study investigates how the physical campus environment shape students' perceptions of connection, inclusion, and…

Generative Artificial Intelligence (GenAI) is transforming education, with assessment design emerging as a crucial area of innovation, particularly in computer science (CS) education. Effective assessment is critical for evaluating student competencies and guiding learning processes, yet traditional practices face significant challenges in CS…

Mathematical reasoning, a fundamental aspect of human cognition, poses significant challenges for artificial intelligence (AI) systems. Despite recent advancements in natural language processing (NLP) and large language models (LLMs), AI's ability to replicate human-like reasoning, generalization, and efficiency remains an ongoing research…

This article examines the politics of curriculum design and evaluation in school settings globally. It examines the role of ideology and dominant meta-narratives of standards and academic achievement culture and its impact on education policy, curriculum design and implementation. The article discusses major models of curriculum design and their…

The Government Performance and Results Modernization Act of 2010 defines major management challenges as programs or management functions that are vulnerable to waste, fraud, abuse, and mismanagement, and where a failure to perform well could seriously affect the ability of the U.S. Department of Education (Department) to achieve its mission or…

Providing timely and personalized feedback on open-ended student responses is a challenge in education due to the increased workloads and time constraints educators face. While existing research has explored how learning analytic approaches can support feedback provision, previous studies have not sufficiently investigated educators' perspectives…

This chapter investigates the integration of generative AI (GenAI), specifically ChatGPT, into institutional and course-level assessment at Western New England University. It explores the potential of GenAI to streamline the assessment process, making it more efficient, equitable, and objective. Through the development of a proprietary GenAI tool,…

This exploratory piece is intended to set the stage for an ongoing conversation about Open Educational Resources (OER). The current OER landscape has hundreds of repositories and thousands of curated guides and lists for finding OER--few of which "talk" to each other behind the scenes, resulting in separate and often redundant resources…

Creativity is an imperative skill for today's learners, one that has important contributions to issues of inclusion and equity in education. Therefore, assessing creativity is of major importance in educational contexts. However, scoring creativity based on traditional tools suffers from subjectivity and is heavily time- and labour-consuming. This…

The problem of local item dependencies (LIDs) is very common in personality and attitude measures, particularly in those that measure narrow-bandwidth dimensions. At the structural level, these dependencies can be modeled by using extended factor analytic (FA) solutions that include correlated residuals. However, the effects that LIDs have on the…

Given existing barriers to a timely autism diagnosis, this study compares the efficiency and equity of diagnoses conducted in-person vs. telehealth in a developmental behavioral pediatrics setting. The transition to telehealth was prompted by the COVID-19 pandemic. Eleven months of clinic data in electronic medical records were retrospectively…

This study investigates the multifaceted impact of generative AI tools (e.g., ChatGPT, Gemini) on higher education. Employing grounded theory, we analyzed the experiences of eight students using these tools in their academic work. Our findings reveal both significant benefits, including enhanced learning, efficiency, and accessibility, and…