Generative artificial intelligence (AI) has shown incredible leaps in performance across data of a variety of modalities including texts, images, audio, and videos. This affords social scientists the ability to annotate variables of interest from unstructured media. While rapidly improving, these methods are far from perfect and, as we show, even…

Generative AI (GenAI) is quickly becoming a valuable tool for sociological research. Already, sociologists employ GenAI for tasks like classifying text and simulating human agents. We point to another major use case: the extraction of structured information from unstructured text. Information Extraction (IE) is an established branch of Natural…

As technology rapidly evolves, generative AI tools are increasingly integrated across various fields, including education. ChatGPT, a well-known language model developed by OpenAI, has gained significant importance in educational settings. This study employed a quantitative, cross-sectional survey design and employed the Unified Theory of…

With the rapid development of emerging information technologies, the art education system is gradually entering the era of intelligence and building a new type of educational ecosystem. In this context, the transformation of society, the widespread application of artificial intelligence technology, and the sustained development of the education…

This study explores the capability of artificial intelligence tools to generate questions aligned with Bloom's Revised Taxonomy to support educators. On October 6, 2023, ChatGPT 4, Google Bard (now Gemini), and an experienced elementary educator were prompted to create questions for each Bloom's cognitive levels in math, science, and a popular…

In recent years, in the era of digital intelligence, intelligent feedback has received increasing attention. However, few studies have explored the impacts of intelligent feedback on learning achievements and learning perceptions in inquiry-based science learning. To address these research gaps, this study examined the overall impacts of…

Motivation is a key driver of learning. Prior work on motivation has mostly focused on conventional learning contexts that did not necessarily involve AI. Hence, little is known about students' motivation to learn AI. This study examined the structure of students' AI motivational system using self-determination theory as the theoretical framework.…

We investigated methods to enhance the generalizability of large language models (LLMs) designed to classify dimensions of collaborative discourse during small group work. Our research utilized five diverse datasets that spanned various grade levels, demographic groups, collaboration settings, and curriculum units. We explored different model…

High-quality feedback requires understanding of a student's work, insights into what concepts would help them improve, and language that matches the preferences of the specific teaching team. While Large Language Models (LLMs) can generate coherent feedback, adapting these responses to align with specific teacher preferences remains an open…

Deep learning models for text classification have been increasingly used in intelligent tutoring systems and educational writing assistants. However, the scarcity of data in many educational settings, as well as certain imbalances in counts among the annotated labels of educational datasets, limits the generalizability and expressiveness of…

In the age of artificial intelligence (AI), automation, and algorithm-driven decision-making, human roles, skills, and educational priorities are undergoing an unprecedented transformation. As machines become increasingly capable of performing routine, analytical, and even creative tasks, the fundamental question arises: What remains uniquely…

In this essay, Brady L. Nash and Allison Skerrett reexamine the New London Group's theory of multiliteracies thirty years after its initial conception, considering how changes in technology, culture, and politics have impacted the ability of young people to act as designers of social futures. Multiliteracies theory led to an explosion of…

The integration of artificial intelligence (AI) in contemporary classrooms is redefining educational processes and teacher roles. Tools such as ChatGPT, automated grading systems, and personalized learning platforms are being widely adopted for their ability to enhance efficiency, deliver adaptive instruction, and support data-driven…

This study investigates the perspectives of STEM (Science, Technology, Engineering, and Mathematics) educators in Türkiye regarding the integration of Artificial Intelligence Tools (AITs) into STEM education (STEM-e). The research was conducted to address the lack of comprehensive studies exploring educators' experiences, challenges, and the…

Current educational trends leverage artificial intelligence (AI) to provide high-quality teaching and enhance students' learning competitiveness. This study aimed to evaluate the acceptance of artificial intelligence generated content (AIGC) for assisted learning and design creation among art and design students. Based on an extended technology…