Art generated by artificial intelligence (AI) programs resembling human creative outputs profoundly challenges cultural, social, and psychological conceptions of creativity and its value. Defining creativity within the psychological literature amid the rise of AI poses limitations and highlights the significance of the Expressive Therapies…

In this study, which focuses on selecting the material and predicting its mechanical behaviors in materials science, an Artificial Neural Network (ANN) was used to predict and simulate the low-speed impact effects of hybrid nano-doped aramid composites. There are not enough studies about open education practices in this field. Since error values…

Generative artificial intelligence (AI) is increasingly presented as a potential substitute for humans, including as research subjects. However, there is no scientific consensus on how closely these in silico clones can emulate survey respondents. While some defend the use of these "synthetic users," others point toward social biases in…

In this paper we will explore an application, made by us, that can generate physics grid tests using artificial intelligence. The application analyzes the response from the large language model in the required format recognized by the application and writes it to a file that will be accepted by the test builder application. The application creates…

Intelligent technology plays a pivotal role in revolutionizing learning assessments, overcoming the constraints of traditional assessment methods and driving educational innovation. Knowledge tracing (KT) emerges as a critical component for assessing students' learning states and forecasting their future performance. However, existing graph-based…

The advent of Artificial Intelligence (AI) is reshaping society, highlighting the need to better understand its implications for human creativity. This investigation explores the relationship and differences between people's general creative self-beliefs and their creative self-beliefs in an AI-specific context (i.e., while using AI tools). It…

In this paper, we begin a conversation with educators invested in developing epistemic insight. We argue that generative artificial intelligence provides an opportunity to make a necessary corrective to our understanding of knowledge and knowledge building. The use of the metaphors of such as 'human-as-machine' has inadvertently promoted a…

Sudoku is a puzzle that has a unique solution. No matter how many methods are used, the result will always be the same. The player thought that the number of givens or clues, the initial value on the Sudoku puzzles, would significantly determine the difficulty level, which is not necessarily correct. This research uses two search algorithms,…

In educational systems, predictive models face significant challenges during initial deployment and when new students begin to use them or when new exercises are added to the system due to a lack of data for making initial inferences, often called the cold start problem. This paper tests logitdec and logitdecevol, "evolutionary" features…

How has artificiality been imagined and circumscribed in works of fiction? For this paper, I answer the question by utilizing three of Miguel de Unamuno's early works to explore artificiality and authenticity. From "Amor y pedagogia" ("Love and Pedagogy" [LAP]) to "Del sentimiento trágico de la vida" ("The Tragic…

In the rapidly evolving field of artificial intelligence (AI) literature generation, understanding how society perceives AI-generated content, compared with human-produced literature is of paramount importance. This study investigated societal perceptions and biases toward AI-generated versus human-produced poetry. A sample of 123 participants was…

Research suggests that generative AI (GAI) responds to divergent thinking (DT) prompts with multiple ideas, some of which seem to be original. The present investigation administered 55 DT tasks to three GAI services (Bard, GPT 3.5, and GPT 4.0). Instead of examining individual responses, an Idea Density algorithm was used to assess the output.…

Knowledge tracing (KT) plays a key role in adaptive learning, yet traditional recurrent neural network-based methods often struggle with sparse data and overlook relationships between knowledge points. To address these limitations, this paper proposes a novel knowledge tracing model (KGS-KT) that integrates knowledge graphs, graph convolutional…

This study developed a comprehensive bibliometric framework by integrating data from Scopus, Web of Science, and Google Scholar, leveraging the unique strengths of each platform. The dataset, comprising 6,000 papers, was proportionally distributed across the three sources, with 40% from Scopus and 30% each from Web of Science and Google Scholar.…

Recently, the rise of generative AI tools such as "ChatGPT" have prompted deep and wide considerations about teaching and learning, student success, research and development, and the use of data for informed institutional decision making. In this volume, authors discuss specific concepts, considerations for use, and some specific tools…