Purpose: Following the recent rise in generative artificial intelligence (GenAI) tools, fundamental questions about their wider impacts have started to reverberate around various disciplines. This study aims to track the unfolding landscape of general issues surrounding GenAI tools and to elucidate the specific opportunities and limitations of…

With the rapid societal emergence of generative artificial intelligence chatbots, calls for responsible use of generative AI permeate public voices among faculty, administration, and Centers for Teaching and Learning. The Diffusion of Innovation Theory seeks to explain how technologies like generative AI large language models are being adopted.…

Emotion mindsets play an important role in how emotional challenges are navigated. Although existing research demonstrates that emotion mindsets have important implications for emotion regulation self-efficacy (ERSE), little is known about the role of individual differences. The present study examined whether the association between trait emotion…

This study investigates the integration of AI tools, ChatGPT 3.5 and Bard (now Gemini), in the education of civil engineering students specializing in pavement design. Two groups, totaling sixty-eight undergraduate students (Group A=28, Group B=40), enrolled in the Pavement Design course at UTPL from October 2023 to February 2024, participated.…

Given the potential for significant changes brought about by chatbots, it is necessary to clarify the mechanisms, relevant research, practical applications, and future development of chatbots in education, while making adequate preparations for their limitations and challenges. However, there are currently few studies that systematically review…

A key challenge in e-learning environments like Intelligent Tutoring Systems (ITSs) is to induce effective pedagogical policies efficiently. While Deep Reinforcement Learning (DRL) often suffers from "sample inefficiency" and "reward function" design difficulty, Apprenticeship Learning (AL) algorithms can overcome them.…

Automated Essay Scoring (AES) is a well-studied problem in Natural Language Processing applied in education. Solutions vary from handcrafted linguistic features to large Transformer-based models, implying a significant effort in feature extraction and model implementation. We introduce a novel Automated Machine Learning (AutoML) pipeline…

Automated Essay Scoring (AES) is a well-studied problem in Natural Language Processing applied in education. Solutions vary from handcrafted linguistic features to large Transformer-based models, implying a significant effort in feature extraction and model implementation. We introduce a novel Automated Machine Learning (AutoML) pipeline…

Integration of ChatGPT into higher education requires assessing university educators' perspectives regarding this novel technology. This study aimed to validate a survey instrument specifically tailored to assess ChatGPT usability and acceptability among university educators based on the Technology Acceptance Model (TAM). The survey instrument…

The use of artificial intelligence is growing, but it's unclear how much it is expanding human knowledge. Peter W. Cookson Jr. discusses the potential of AI use for learning. He suggests that humans learn by making connections in ways that AI cannot replicate. The kinds of experiences that promote these connections require students to experiment…

This article explores the integration of "synthography" in the context of a class in the Degree in Photography, as a strategy to explore artistic and professional practices in the digital transformation era, problematizing the pedagogical implications of using artificial intelligence (AI) in creative disciplines. The study revolves…

This paper conducts a comparative analysis and thorough investigation on the theme of the application and effect of virtual reality technology in vocational education practical training. It explores the advantages of virtual reality technology in enhancing the effectiveness of vocational education practical training, as well as student…

As technology and education intersect, the potential of Artificial Intelligence (AI) to enhance learning and engagement via chatbots is notable and has been widely acclaimed, though with mixed reports. This study thus investigates AI chatbots' effectiveness in enhancing learning outcome and engagement, using a quasi-experimental design with three…

As cloud computing, big data, and AI advance, teachers increasingly leverage "cloud" technology for flexible and intelligent teaching. The "cloud classroom" is a growing trend, especially for instrumental music education. This paper examines the pros and cons of cloud-based instrumental music teaching, exploring how to adapt…

Rapid technological advancements are reshaping pedagogical expertise development, offering novel pathways to equip educators with 21st-century professional competencies. This study proposes an innovative artificial intelligence (AI)-driven professional development approach and investigates its impact on student teachers' competence development. In…