AIMC Topic: Thinking

Clear Filters Showing 1 to 10 of 84 articles

Development and influencing factors of artificial intelligence literacy and computational thinking in Chinese university students.

Scientific reports
This study investigates the developmental status and influencing factors of artificial intelligence (AI) literacy and computational thinking (CT) literacy among undergraduates in China's "four new" majors. Guided by the Technology Acceptance Model, S...

Generative Artificial Intelligence in Medical Education: Enhancing Critical Thinking or Undermining Cognitive Autonomy?

Journal of medical Internet research
Generative artificial intelligence (GenAI) enables the production of coherent and contextually relevant text by processing large-scale linguistic datasets. Tools such as ChatGPT, Gemini, Claude, and LLaMA are increasingly integrated into medical educ...

Generative artificial intelligence models outperform students on divergent and convergent thinking assessments.

Scientific reports
Generative artificial intelligence (GenAI) has garnered significant attention for its remarkable capabilities and is now widely used in many creative domains, sparking scientific interest in its creative capacities. While previous studies have assess...

A neuro-fuzzy model for evaluating and predicting computational thinking skills of students.

Scientific reports
Computational thinking skill is an important skill individuals should acquire to meet the requirements of the digital age. The aim of the study is to predict the computational thinking skills of middle school students through ANFIS approach, which is...

The chain mediating role of critical thinking and AI self-efficacy in GenAI usage competence and engineering students' creativity.

Scientific reports
This study investigates the impact of generative artificial intelligence (GenAI) on engineering students' creativity, examining the mediating roles of critical thinking and AI self-efficacy in this relationship. We analyze the data collected using SP...

Medicine Beyond Machines: Viewpoint on the Art of Thinking in the Age of AI.

JMIR formative research
The widespread adoption of large language models is increasingly shaping clinical decision-making by altering how physicians engage with data and reasoning. While these tools enhance diagnostic capacity, streamline workflows, and support learning, th...

The relationship between higher-order thinking and problem-solving skills development among pre-service teachers using generative AI: an analysis based on moderated mediation.

BMC psychology
BACKGROUND: Artificial intelligence (AI), as a smart and connected technology, has significantly expanded the educational landscape.As more educators and learners begin to rely on GAI to assist with tasks such as instructional design and information ...

Before the attempt: How people think and plan in suicide crises.

Journal of affective disorders
Cognitive processes preceding suicidal attempts (SA) remain poorly understood, particularly in distinguishing those who act on suicidal thoughts from those who do not. This study compared proximal contemplation and planning processes during suicidal ...

Randomized Controlled Study on the Impact of Problem-Based Learning Combined With Large Language Models on Critical Thinking Skills in Nursing Students.

Nurse educator
BACKGROUND: The integration of Large Language Models (LLMs) into nursing education presents a novel approach to enhancing critical thinking skills. This study evaluated the effectiveness of LLM-assisted Problem-Based Learning (PBL) compared to tradit...

"Don't stop believing" - Decoding belief dynamics in the brain: An ALE meta-analysis of neural correlates in belief formation and updating.

Neuroscience and biobehavioral reviews
Understanding how individuals form and update their beliefs is a fundamental question in cognitive and social psychology. Belief formation (BF) refers to the initial development of an individual's belief, while belief updating (BU) pertains to the re...