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…

The capabilities of large language models (LLMs) in language comprehension, conversational interaction, and content generation have led to their widespread adoption across various educational stages and contexts. Given the fundamental role of education, concerns are rising about whether LLMs can serve as competent teachers. To address the…

American education has focused on reading and literacy skills for decades, but the ongoing reading wars have had little effect on student performance. Authors Rick Ginsberg and Yong Zhao suggest that the growth of artificial intelligence makes this hyperfocus on reading especially misguided because it's becoming increasingly easy to access…

It is of critical importance to be aware of the historical discrimination embedded in the data and to consider a fairness measure to reduce bias throughout the predictive modeling pipeline. Given various notions of fairness defined in the literature, investigating the correlation and interaction among metrics is vital for addressing unfairness.…

As artificial intelligence (AI), and especially generative AI, are increasingly impacting daily life, it is becoming essential for learners to acquire AI literacy -- the capability to interact with AI at the interface of technology and the target language. Without AI literacy, they may struggle to navigate AI-driven systems and access benefits of…

As generative Artificial Intelligence (AI) is seen as a catalyst for a new learning and examination culture in higher education, it urges universities to reinvent themselves and to adapt to these changes effectively. By analysing the content of 67 university guidelines on generative AI, this study investigates how universities in Germany position…