Integrating artificial intelligence, particularly large language models (LLMs), into medical education represents a significant new step in how medical knowledge is accessed, processed, and evaluated. The objective of this study was to conduct a comprehensive analysis comparing the performance of advanced LLM chatbots in different topics of…

In online courses, discussion forums play a key role in enhancing student interaction with peers and instructors. Due to large enrolment sizes, instructors often struggle to respond to students in a timely manner. To address this problem, both traditional machine learning (ML) (e.g., Random Forest) and deep learning (DL) approaches have been…

The integration of Generative Artificial Intelligence (GenAI) in education has introduced innovative approaches to assessment. One such approach is AI chatbot-based assessment, which utilizes large language models to provide students with timely and consistent feedback. However, the effectiveness of AI chatbots in generating assessments comparable…

Large language models have recently been able to perform well in a wide variety of circumstances. In this work, we explore the possibility of large language models, specifically GPT-3, to write explanations for middle-school mathematics problems, with the goal of eventually using this process to rapidly generate explanations for the mathematics…

This article reports on a comparative analysis of two sets of essays, student-discursive essays (SDEs) and ChatGPT-generated discursive essays (ChatGPT-GDEs) on the same essay topic using Coh-Metrix. It focused on three Coh-Metrix indices, lexical density, syntactic complexity, and referential cohesion as the basis for the comparative analysis.…

Cyberbullying is the use of digital communication tools and spaces to inflict physical, mental, or emotional distress. This serious form of aggression is frequently targeted at, but not limited to, vulnerable populations. A common problem when creating machine learning models to identify cyberbullying is the availability of accurately annotated,…

This study aimed to evaluate the utility of artificial intelligence (AI) in improving the persuasive communication skills of online Master of Business Administration (MBA) students. In particular, this study investigated the influence of personalization through AI using the Google Gemini platform on conventional and online instructional…

Classifying educational forum posts is a longstanding task in the research of Learning Analytics and Educational Data Mining. Though this task has been tackled by applying both traditional Machine Learning (ML) approaches (e.g., Logistics Regression and Random Forest) and up-to-date Deep Learning (DL) approaches, there lacks a systematic…

The objectives of this research on Cognitive Technology for Academic Counselling in the New Normal were (1) to design an architecture of cognitive technology for academic counselling in the new normal, (2) to develop a system of cognitive technology for academic counselling in the new normal, (3) to assess the academic performance of students…

The development and improvement of effective tools for predicting human behavior in real life through the features of its virtual activity opens up broad prospects for psychological support of the individual. The presence of such tools can be used by psychologists in educational, professional and other areas in the formation of trajectories of…

The English as a foreign language (EFL) learners' levels of attention and meditation as well as brainwaves while interacting with an interlocutor in three different second-language (L2) socialization contexts--with another human in person, with another person through a virtual platform, and with an artificial intelligence (AI) chatbot--were…

Mathematics problems are shared rapidly across all social media platforms, and the relative anonymity granted to users can lead to unfiltered discourse. This study examined 1,046 comments from a mathematics problem posted twice to YouTube in February 2016 to determine the underlying narratives that indicate the commenters' mathematical mindsets…

This research examines a selection of academic articles, existing evidence, and early indications of newly-designed Learning Management System (LMS) tools/functions, and then analyzes and synthesizes the concepts to form a thorough description of the components within the concept of next-generation LMS. The comparison of conventional LMS and…

Introduction: Cyberbullying has received a considerable amount of attention within the academic and public literature. However, very little if any cyberbullying research has been conducted among Arab American students. This current study explored the impact of cyberbullying among middle and high school Arab American students on their self-esteem…

Betty's Brain is an open-ended learning environment in which students learn about science topics by teaching a virtual agent named Betty through the construction of a visual causal map that represents the relevant science phenomena. The task is complex, and success requires the use of metacognitive strategies that support knowledge acquisition,…