Video lectures are considered as one of the primary media to cater good-quality educational content to the learners. The video lectures illustrate the course-relevant concepts with necessary details. However, they sometimes fail to offer a basic understanding of off-topic concepts. Such off-topic concepts may spawn cognitive overload among the…

Intelligent tutoring systems are effective for improving students' learning outcomes (Pane et al. 2013; Koedinger and Anderson, "International Journal of Artificial Intelligence in Education," 8, 1-14, 1997; Bowen et al. "Journal of Policy Analysis and Management," 1, 94-111 2013). However, constructing tutoring systems that…

This study identified the competency requirement for artificial intelligence in finite element analysis. The 10 Delphi group members included 5 field engineers in mechanical fields and 5 scholars from a technology institute. Next, 10 field experts were invited to participate. Using the Delphi technique and analytic hierarchy process,…

This assignment is integrated into the generative AI unit of the Emerging Communication Technologies course. It includes step-by-step designs and reflective examples from students, highlighting the evolution of their perceptions of generative AI. The assignment uniquely focuses on understanding and raising awareness of stereotypes present in…

This report examines the burgeoning generative artificial intelligence (GenAI) and foundation models landscape within the European Union, and analyses its impact, technological advancements, and regulatory implications. It details the GenAI value chain, identifying key players and investment trends, revealing a significant US dominance. The report…

So much depends on online course participants' ability to communicate in ways so that others can perceive their personalities and know that they are "real people." However, the line between the "real" and the "artificial" has been blurred with the rise of generative AI and guidance is needed for integrating generative…

In recent years, when computational thinking (CT) has become increasingly important, utilizing machine learning (ML) techniques provides a revolutionary method for comprehending and improving cognitive skills for young students. However, few studies deepen the process of learning ML and CT. This exploratory study aims to investigate the impact of…

This exploratory case study examines how AI technologies, specifically a GPT-4-based synopsis chatbot, can serve as a sparring partner for doctoral students in Norway. Despite favourable conditions, only two-thirds of Norwegian PhD candidates complete their doctorates, partly due to challenges with article-based dissertations that require a…

This study aims to explore the implications of using AI-generative tools (tools for generative AI (GAI)) in teaching and learning practices in higher education settings. This exploratory study employs a mixed-methods approach. Data was collected through focus-group discussions, participants' reflections and questionnaires. The participants of this…

The advent of Large Language Models (LLMs) has fundamentally disrupted our thinking about educational technology. Their ability to engage in natural dialogue, provide contextually relevant responses, and adapt to learner needs has led many to envision them as powerful tools for personalized learning. This emergence raises important questions about…

Avatars play a significant role in Artificial Intelligence (AI)-powered education, supported by various human-computer interactions and second language acquisition theories. AI avatars have become increasingly anthropomorphic and realistic with advancements in speech synthesis, speech-driven lip-syncing, and speech-to-facial animation. D-ID Studio…

Wildfires pose significant environmental threats in Australia, impacting ecosystems, human lives, and property. This review article provides a comprehensive analysis of various empirical and dynamic wildfire simulators alongside machine learning (ML) techniques employed for wildfire prediction in Australia. The study examines the effectiveness of…

Collaborative dialogue offers rich insights into students' learning and critical thinking. This is essential for adapting pedagogical agents to students' learning and problem-solving skills in STEM+C settings. While large language models (LLMs) facilitate dynamic pedagogical interactions, potential hallucinations can undermine confidence, trust,…

Language educators employ visual depictions of people for reasons including use as writing or conversation prompts, use as illustrations of vocabulary, or simply use as decoration. Despite research documenting so-called visual agism across mass media, there has been little attention to the issue in such language education materials. This project…

Educators expect artificial intelligence (AI) to augment student capabilities and rapidly transform teaching and learning practices. However, little is known about students' perceptions of AI and what they expect from AI in student-AI teaming. There is a lack of holistic understanding of the nature, effects, and areas of improvement in teamwork by…