Mind Meets Machine: A Scientometric Exploration of the Cognitive Frontier in Generative AI
Dublin Core
Title
Mind Meets Machine: A Scientometric Exploration of the Cognitive Frontier in Generative AI
Creator
Zakky Zamrudi, Teguh Wicaksono, Ervica Zamilah, Suci Norzakia, Mardiana
Proceedings Item Type Metadata
meta_title
Mind Meets Machine: A Scientometric Exploration of the Cognitive Frontier in Generative AI
Abstract/Description
This study explores how generative artificial intelligence (GenAI) affects users’ thinking and learning by analyzing research trends from 2016 to 2025 using bibliometric methods. Based on 302 academic papers, it shows how early research focused on technical aspects like deep learning and chatbots, while recent studies (especially in 2025) highlight more human-centered topics such as creativity, decision-making, and language understanding. The findings group the research into four main themes: AI in education, medical training, cognitive science, and decision-making. The study concludes that GenAI is becoming more connected to how people think, learn, and use language, offering guidance for future research and educational practices.
publication_date
2025/06/15
pdf_url
https://insyma.org/proceedings/files/articles/zakky_zamrudi.pdf
abstract_html_url
https://insyma.org/proceedings/items/show/377
keywords
Generative AI, Cognitive Knowledge, AI in Education, Human-AI Interaction, Research Trends
firstpage
397
lastpage
403
issn
3047-857X
conference
Proceedings of the International Symposium on Management (INSYMA)
Volume
22
publisher_name
Fakultas Bisnis dan Ekonomika, Universitas Surabaya
no article
66
Files
Citation
Zakky Zamrudi, Teguh Wicaksono, Ervica Zamilah, Suci Norzakia, Mardiana, “Mind Meets Machine: A Scientometric Exploration of the Cognitive Frontier in Generative AI,” Proceedings of the International Symposium on Management (INSYMA), accessed July 1, 2025, https://insyma.org/proceedings/items/show/377.