Although empirical research on motivation has been growing, one remarkable observation is that the same major theories continue to dominate the field, and the constellation of motivation theories has changed very little in recent decades. We argue that this status … Continued
Alongside the growth of generative AI, we are witnessing a surge in the use of synthetic data across all stages of the AI development pipeline. It is now common practice for researchers and practitioners to use one large generative model … Continued
The proliferation of artificial intelligence (AI) tools has transformed numerous aspects of daily life, yet its impact on critical thinking remains underexplored. This study investigates the relationship between AI tool usage and critical thinking skills, focusing on cognitive offloading as … Continued
This paper introduces the “Thinking Through AI” framework, an innovative methodological approach designed to explore and enhance cognitive and collaborative processes in educational settings mediated by artificial intelligence (AI). Based in a synthesis of cognitive labs, think-aloud protocols, over-the-shoulder observations, … Continued
Intelligent Tutoring Systems (ITSs) have revolutionized education by offering personalized learning experiences. However, as goal-oriented learning, which emphasizes efficiently achieving specific objectives, becomes increasingly important in professional contexts, existing ITSs often struggle to deliver this type of targeted learning experience. … Continued
Participation processes (PPs) are often promoted as tools to improve public policymaking, yet their causal impact on policy decisions remains inconsistent. Existing research on policy impact has faced criticism for lacking methodological rigor, transparency, and comparability, impeding knowledge cumulation. This … Continued
This opinion paper explores educational interactions involving humans and artificial intelligences not as sequences of prompts and responses, but as a social process of conversation and exploration. In this conception, learners continually converse with AI language models and other human … Continued
Complementary collaboration between humans and AI is essential for human-AI decision making. One feasible approach to achieving it involves accounting for the calibrated confidence levels of both AI and users. However, this process would likely be made more difficult by … Continued
Novel capacities of generative AI to analyze and generate cultural artifacts raise inevitable questions about the nature and value of artistic education and human expertise. Has AI already leveled the playing field between professional artists and laypeople, or do trained … Continued
As artificial intelligence (AI) transforms society, understanding factors that influence AI receptivity is increasingly important. The current research investigates which types of consumers have greater AI receptivity. Contrary to expectations revealed in four surveys, cross country data and six additional … Continued