Generative AI has emerged as a tool to assist doctoral students as they conduct academic research and writing. In this study, we explored two ways AI has been used by students in our EdD program--informally and independently and in a more formalized, guided manner. First, we found students have been engaged in self-directed, informal, independent…

The landscape of generative AI in Education Doctorate (EdD) programs is multifaceted and rapidly evolving, demonstrating a significant impact on educational methodologies and student engagement. In the Molloy University EdD program, AI is leveraged extensively for a range of purposes, from assessment tools like Perusall to advanced platforms like…

The article is an exploratory study assessing the stance selected higher education institutes (HEIs) have adopted regarding the usage of generative artificial intelligence (AI) applications in academic research. The HEIs are selected based on purposive sampling in order to showcase different stances they have adopted to curb plagiarism and uphold…

Artificial intelligence is revolutionizing the education landscape and has been widely applied to language teaching and learning. This study investigates the transformative potential of AI-driven Natural Language Processing (NLP) tools in enhancing writing proficiency, focusing on language precision, content summarization, and creative writing…

Students will analyze article excerpts that demonstrate how the opioid crisis was fueled by a five-sentence "letter to the editor" that was uncritically cited as "evidence" that opioid addiction was rare. Indirectly this activity demonstrates why ChatGPT and other generative artificial intelligence platforms should never be…

In the realm of logographic writing systems, such as Chinese characters, orthographic transparency fundamentally differs from alphabetic languages, posing unique challenges for individuals with developmental dyslexia (DD). This study employed event-related potentials (ERPs) and a masked priming paradigm to investigate how Chinese children with DD…

This study explores whether AI-generated adaptive feedback or static feedback is favourable for student interest and performance outcomes in learning statistics in a digital learning environment. Previous studies have favoured adaptive feedback over static feedback for skill acquisition, however, without investigating the outcome of students'…

Artificial Intelligence (AI) holds significant potential to transform education, particularly in teaching methodologies and task completion. This study aims to identify the factors influencing the perceptions and behaviors of elementary education students in utilizing ChatGPT and Gemini to complete science-related assignments. The research design…

Short answer assessment is a vital component of science education, allowing evaluation of students' complex three-dimensional understanding. Large language models (LLMs) that possess human-like ability in linguistic tasks are increasingly popular in assisting human graders to reduce their workload. However, LLMs' limitations in domain knowledge…

Artificial intelligence plays an important role in higher education, helping to manage centres and students' educational pathways, and acting as a valuable tool for both professors and scholars. However, its use in education is still at an early stage of development. Despite the notable increase in the number of publications and the growing…

Research on using generative artificial intelligence (GenAI) chatbots in learning environments continues to underpin research in and out of academia. However, GenAI text-to-video (T2V) models have not been adequately investigated in academia, mostly due to their novelty. That means their potential to improve learning remains to be determined. This…

As aspiring educational leaders, principal candidates must understand the widespread impact of generative artificial intelligence (Gen AI) in education. This qualitative phenomenological study explored the perceptions of aspiring educational leaders regarding Gen AI in academic research, highlighting the ethical concerns and challenges they…

Since the release of ChatGPT, concerns about artificial intelligence (AI) and its capabilities and impact on education at all levels have been voiced by instructors in disciplines ranging from computer science to composition to history. This article explores two specific examples from the University of Illinois Urbana-Champaign (UIUC) that provide…

Important prerequisites for effective teaching in science, technology, engineering, and mathematics (STEM) are outlined in the refined consensus model of pedagogical content knowledge: Teachers need to become able to apply their pedagogical content knowledge in practice, called enacted pedagogical content knowledge. To support pre-service STEM…

Background: Recent studies have examined the relation between teacher motivation, motivational messages and student learning but are limited to an achievement-related context, primarily using survey data. Moreover, our understanding of the relation between various teacher characteristics, such as teacher self-efficacy (TSE), and their motivational…