The importance of artificial intelligence in daily life is increasing every day. This situation is inevitably reflected in educational environments. However, using artificial intelligence also causes anxiety. This study aims to determine the anxiety levels of preschool preservice teachers regarding artificial intelligence and examine them using…

As artificial intelligence (AI) becomes increasingly integrated into academic spaces, questions about authorship, authenticity, and peer review are becoming more urgent. This exploratory study investigates the implications of AI-generated conference proposals by submitting a single, AI-authored proposal to 20 local, state, national, and…

Against the backdrop of the deep integration of chatbots into education, this study, based on Self-Determination Theory (SDT) and the UTAUT model, constructed a model of factors influencing college students' self-directed learning ability in programming. Through a review of existing literature, six key determinants were identified: learning…

The usage of artificial intelligence (AI) in education is quickly growing, with chatbots gaining popularity as potential tools for supporting teaching and learning. This study looks into the elements that influence teachers' willingness to use chatbots in their teaching techniques. Drawing on the Unified Theory of Acceptance and Use of Technology,…

Conversation of a particular sort holds the key to learning. I argue here that peer to peer conversation promotes two features that are essential to progressive learning, namely 'contestation' and 'communication.' Traditional learning is principally concerned with whether students have reached a standard of knowledge and skill prescribed by some…

This essay examines the potential impact of paid-for or premium language models, where some students may be able to afford advanced models generating superior outputs while others could face inequities due to financial constraints. It explores how this dynamic can exacerbate the digital divide, challenge traditional as well as more recent…

This study focuses on the interpretation and implementation of artificial intelligence policies in higher education for mainland China, Hong Kong and Macau. The researchers applied a conceptual comparative review of regulatory frameworks and institutional discretion by utilising Policy Implementation Theory and Multi-Level Governance. From the…

Since 2022, Artificial Intelligence has taken the education field by storm, resulting in a proliferation of research on AI's benefits, challenges, and pitfalls. A particular area of concern and uncertainty centers around AI and its impact on higher-order thinking skills. This qualitative systematic review comprising 31 articles aims to gather and…

Background: High-quality feedback is crucial for academic success, driving student motivation and engagement while research explores effective delivery and student interactions. Advances in artificial intelligence (AI), particularly natural language processing (NLP), offer innovative methods for analyzing complex qualitative data such as feedback…

B. F. Skinner's work in the field of verbal behaviour represented a movement of global significance. However, in today's age, even those who appreciate its profound importance in the archives of psychology accept that it did not sufficiently account for complex human language. Recent advances in psychological science have led to the emergence of a…

Entrance awards are financial incentives offered to admitted students at or near the time of admission. These awards are a frequently used tool to enhance yield rates among post-secondary institutions, sometimes among specifically-targeted populations. The impacts of these awards have been studied in many different contexts, using a variety of…

Historically, research in the education field concerning intelligence (such as mindset theory) has focused on student beliefs and outcomes. More general education research has also highlighted the importance of the impact that teacher beliefs can have on their practice and thus student outcomes. The purpose of this current systematic review was to…

ChatGPT and other large language models (LLMs) have the potential to significantly disrupt common educational practices and assessments, given their capability to quickly generate human-like text in response to user prompts. LLMs GPT-3.5 and GPT-4 have been tested against many standardized and high-stakes assessment materials (e.g. SAT, Uniform…

One-on-one tutoring is widely acknowledged as an effective instructional method, conditioned on qualified tutors. However, the high demand for qualified tutors remains a challenge, often necessitating the training of novice tutors (i.e., trainees) to ensure effective tutoring. Research suggests that providing timely explanatory feedback can…

ChatGPT, a chatbot based on a Generative Pre-trained Transformer model, can be used as a teaching tool in the educational setting, providing text in an interactive way. However, concerns point out risks and disadvantages, as possible incorrect or irrelevant answers, privacy concerns, and copyright issues. This study aims to categorize the…