The rise of generative artificial intelligence (GAI), especially with multimodal large language models like GPT-4o, sparked transformative potential and challenges for learning and teaching. With potential as a cognitive offloading tool, GAI can enable learners to focus on higher-order thinking and creativity. Yet, this also raises questions about…

This study presents the technical design, implementation, and evaluation of an AI-powered debate bot integrated into a Globally Networked Learning (GNL) course, which connected 97 undergraduate students from Germany and the United States. Unlike traditional AI applications in education that focus on content generation or information retrieval, our…

This study presents a comprehensive bibliometric analysis of research trends in Massive Open Online Courses (MOOCs) from 2015 to 2024. Using data from the Scilit database, we analyzed 707 peer-reviewed articles to identify patterns in research output, citation networks, and international collaboration. The analysis employed VOSviewer and Scimago…

Rapid developments in artificial intelligence can impact numerous individuals, fields, and sectors in diverse ways. ChatGPT, developed by OpenAI, is one of the prominent models of artificial intelligence. The current study aims to examine the effect of ChatGPT on the creative writing skills and writing self-efficacy of fourth-grade primary school…

The current study is an attempt to bring to light the influence of Open AI adoption among users regarding the Indian Higher Education system by incorporating the TCT and TTF models. A questionnaire was designed to collect the data from 571 participants associated with higher education in India. The developed model with Perceived usefulness,…

Virtual reality (VR) is an effective technology when applied to higher education. A fruitful line of research is the study of the reception of VR by the agents involved, especially professors. This provides keys to help universities and countries, especially developing ones, in the process of digital integration. In this work, a quantitative…

This study assesses the impact of Moodle AI-powered chatbots and metacognitive teaching approaches on the academic performance of tertiary Business education students. Using a quasi-experimental pre-test/post-test control design and Activity theory, 83 final-year Business education students were sampled from a total of 324. Data were collected…

This study aims to examine how to integrate generative AI (GenAI) into marketing education. We used the transformation mechanism within boundary crossing theory to explore how marketing professional insights can be utilized to prepare students for industry demands in the GenAI era. We analyze industry content and GenAI courses alongside 26…

Background/purpose: The use of AI in EFL writing instruction has been identified as a potential way of improving learning outcomes. Nevertheless, there are concerns about overreliance, cultural limitations, and the inability of AI to measure creativity and emotional tone. This paper aims to investigate the opportunities and challenges of applying…

Large language models (LLMs) have the potential to impact learning in the advanced learner virtual classroom through personalized learning and on-demand feedback. This study investigated whether an LLM added to virtual science course activities impacted student learning. Using the GPT4o model from OpenAI, the LLM was developed as a co-tutor to…

Make sure your tech initiatives put students first with this robust guide for teachers and school leaders. With new artificial intelligence tools sweeping into districts and schools, educators must be able to assess the tools' benefits and limitations and determine if and how they might serve students. Teaching and leadership expert Tony Frontier…

This article critically examines Artificial Intelligence in Education (AIED) within English as a Second Language (ESL) contexts, arguing that current practices often deepen systemic inequality. Drawing on Iris Marion Young's "Five Faces of Oppression," we analyze the implementation of AIED in oppressed schools, illustrating how students…

Background: The growth of online education has provided flexibility and access to a wide range of courses. However, the self-paced and often isolated nature of these courses has been associated with increased dropout and failure rates. Researchers employed machine learning approaches to identify at-risk students, but multiple issues have not been…

Medical simulations allow medical trainees to work within teams to develop their self-regulated learning (SRL) and socially shared regulated learning (SSRL) skills. These skills are imperative in optimizing performance and teamwork and could be reflected in physiological responses given by learners. This study examines how medical trainees'…

Background: ChatGPT, an AI-based chatbot, supports learning by accurately interpreting and responding to user inputs. Despite its potential, few empirical studies have examined its influence on college students' mathematical problem-solving processes. Objectives: This study aimed to introduce a ChatGPT-facilitated scaffolding to investigate its…