This study combines product- and process-oriented research methods and tools to observe whether and how the presence of pre-translated text affects translation quality and influences the translator's research patterns. It is part of the LeMaTTT project, a simulated longitudinal empirical study exploring the impact of MT on info-mining and thematic…

Artificial Intelligence (AI) has threatened higher education (HE). In doing so it has granted a portal that makes visible the dominant paradigm that has long defined what "intelligence" is and the narrow set of knowledges and literacies sanctioned for its pursuit. In this paper, we orient our thinking from this clarifying moment, asking:…

The following is offered as only one Indigenous person's perspective--a Yuchi Muscogee tribal member's perspective. Several questions about AI emerge when we consider it through an (not the) Indigenous lens. Where is AI's heart and where is its spirit? Does this complex, fast source of intelligence have feelings or emotions? Does machine-generated…

The attention time of students studying in MOOC (Massive Open Online Courses) classroom was analyzed to optimize and further improve their performance. On this basis, a student class model based on convolutional neural networks (CNN) feature extraction was proposed. Through Pr (Adobe Premiere) technology, students' class videos were processed by…

The rapidly evolving digital landscape, punctuated by the emergence of artificial intelligence (AI) and immersive technologies, is poised to reshape learning environments dramatically. This study explores the potential use of ChatGPT, a state-of-the-art language model developed by OpenAI, in Metaverse learning environments. It sheds light on…

To address three issues identified in previous research this study proposes a clustering-based MOOC dropout identification method and an early prediction model based on deep learning. The MOOC learning behavior of self-paced students was analyzed, and two well-known MOOC datasets were used for analysis and validation. The findings are as follows:…

Tailored support is crucial for deaf and hearing-impaired children to overcome learning difficulties, particularly during primary education. The absence of listening profoundly hinders the progression of the learning journey, as it plays a pivotal role in language acquisition. Employing assistive technology is one approach to address this issue in…

Many people use technological tools that are widely accessible, respond quickly, and have extensive information networks today. Due to recent technological advances in education and the increasing acceptance of Artificial Intelligence (AI) technologies, the issues regarding their implementation in education require identification and analysis.…

The main goal of this study is to reveal special talented primary school students' perceptions of artificial intelligence, one of the popular concepts of recent times, through metaphors. In this study, the phenomenological design, which is within the scope of qualitative research, was used. In this study, Türkiye Science and Art Center included…

Automatic program repair (APR) tools are valuable for students to assist them with debugging tasks since program repair captures the code modification to make a buggy program pass the given test-suite. However, the process of manually generating catalogs of code modifications is intricate and time-consuming. This article proposes contextual error…

In this article, a dialogue text feature extraction model based on big data and machine learning is constructed, which transforms the high-dimensional space of text features into the low-dimensional space that is easy to process, so that the best feature words can be selected to represent the document set. Tests show that in most cases, the…

With the development of internet technology, big data has been used to evaluate the singing and pronunciation quality of vocal students. However, current methods have several problems such as poor information fusion efficiency, low algorithm robustness, and low recognition accuracy under low signal-to-noise ratio. To address these issues, this…

The advent of large language models (LLMs) such as ChatGPT and text-to-image generation systems like DALL-E developed by OpenAI has raised critical questions in education and art communities, urging us not only to reconceptualize our understanding of creativity, authorship, and human--machine relations, but also to examine their social and ethical…

Cloud adoption in industrial sectors, such as process, manufacturing, health care, and finance, is steadily rising, but as it grows, the risk of targeted cyberattacks has increased. Hence, effectively defending against such attacks necessitates skilled cybersecurity professionals. Traditional human-based cyber-physical education is resource…

Purpose: The purpose of this paper is to identify the factors determining students' attitude toward using newly emerged artificial intelligence (AI) tool, Chat Generative Pre-Trained Transformer (ChatGPT), for educational and learning purpose based on technology acceptance model. Design/methodology/approach: The recommended model was empirically…