This article addresses the transformative potential of generative Artificial Intelligence (AI) to optimize human potential by making education more efficient and effective. We describe a new teaching method called "Dynamic Personalized Learning." In this method, AI dynamically provides feedback and adjusts the level and pace of…

The metaverse, which has a history of about thirty years in written literature, became the agenda of humanity again in the first quarter of the twenty-first century. Although it seems almost impossible today to draw the boundaries of the experience that this technology, which arouses great excitement, will offer, it is possible to say that…

This exploratory study investigates the potential trajectories of education through a unique thought experiment conducted using three artificial intelligence (AI)-powered chatbots, namely GPT-4o, Gemini 2.0 Flash, and DeepSeek R1. The chatbots were tasked with generating both utopian and dystopian scenarios for the future of education, providing a…

'School of the future' scenarios remain a popular means of animating policy, industry and public debates around issues relating to technological, economic, societal and environmental change. To date, these scenarios rarely involve the perspectives of school students. Purpose of the research: This study explores how scenarios can be used to engage…

Objectives: This study investigates gender biases in AI perceptions among university students. It focuses on assessing self-perceptions regarding knowledge, impact, and support, with a specific emphasis on identifying any significant gender differences. The main hypotheses are focused on the existence of gender disparities in AI awareness,…

This study compares the psychometric properties of scales developed using Exploratory Factor Analysis (EFA), Self-Organizing Map (SOM), and Andrich's Rating Scale Model (RSM). Data for the research were collected by administering the "Statistical Attitude Scale" trial form, previously used in a separate study, to 808 individuals. First,…

Students are increasingly utilizing AI educational tools in their daily learning, complementing human instructors. Yet, little is known about how and when learning assistant type (Human vs. AI) influences students' innovation behavior. To better understand these ambiguities, based on self-determination theory and organizational climate theory, the…

Recent studies have conceptualized ChatGPT as an epistemic authority; however, no research has yet examined how epistemic beliefs and metacognitive accuracy affect students' actual use of ChatGPT-generated content, which often contains factual inaccuracies. Therefore, the present experimental study aimed to examine how university students…

The evolution of individual and global learning preferences is influenced by correlation factors. This study introduces a novel evolutionary modeling approach to observe and analyze factors that affect the evolution of learning preferences. The influencing factors considered in this study are closely interwoven with the underlying personality of…

The emergence of generative artificial intelligence (GenAI) chatbots has created opportunities and challenges for higher education. Extant scholarship has explored GenAI's capabilities and topics involving teachers' and students' perceptions of these tools. However, there is limited research exploring (1) whether second language (L2) learners…

While previous studies have investigated students' perceptions of plagiarism, few have focused on new types of digital plagiarism triggered by artificial intelligence (AI), especially the factors that influence students' perceptions of such plagiarism. Through a questionnaire survey among 465 students from a university in Eastern China and…

Large language models (LLMs) provide cost-effective but possibly inaccurate predictions of human behavior. Despite growing evidence that predicted and observed behavior are often not "interchangeable," there is limited guidance on using LLMs to obtain valid estimates of causal effects and other parameters. We argue that LLM predictions…

Although there is growing social science research examining how generative AI models can be effectively and systematically applied to text-based tasks, whether and how these models can be used to analyze images remain open questions. In this article, we introduce a framework for analyzing images with generative multimodal models, which consists of…

Over the past decade, social scientists have adapted computational methods for qualitative text analysis, with the hope that they can match the accuracy and reliability of hand coding. The emergence of GPT and open-source generative large language models (LLMs) has transformed this process by shifting from programming to engaging with models using…

The architecture of the computational thinking with gamified using artificial intelligence prompt engineering, or architecture of the CT platform with gamified, is a learning tool intended to promote activity-based learning that focuses on problem-solving by doing. This platform is fabricated with the combination of computational thinking process…