A widespread view is that Artificial Intelligence cannot be creative. We tested this
assumption by comparing human-generated ideas with those generated by six Generative …

This study highlights the potential of fine-tuned ChatGPT (GPT-3.5) for automatically scoring
student written constructed responses using example assessment tasks in science …

Who should evaluate the originality and task-appropriateness of a given idea has been a
perennial debate among psychologists of creativity. Here, we argue that the most relevant …

With the advent of artificial intelligence (AI), the field of creativity faces new opportunities and
challenges. This manifesto explores several scenarios of human–machine collaboration on …

This paper reviews studies of proposed creative machines applied to a prototypical creative
task, ie, the Alternative Uses Task (AUT). Although one system (OROC) did simulate some …

This study investigates the application of large language models (LLMs), specifically GPT-
3.5 and GPT-4, with Chain-of-Though (CoT) in the automatic scoring of student-written …

This exploratory research investigated the creative abilities of OpenAI's large language
model, ChatGPT, based on the GPT-4 architecture, as assessed by the Torrance Tests of …

State-of-the-art generative artificial intelligence (AI) can now match humans in creativity tests
and is at the cusp of augmenting the creativity of every knowledge worker on Earth. We …

Creativity research commonly involves recruiting human raters to judge the originality of
responses to divergent thinking tasks, such as the alternate uses task (AUT). These manual …

Question asking has been a critical tool for teaching and learning since the time of Socrates
and is important in the creative problem-solving process. Yet, its role in creativity has insofar …