https://mail.insyma.org/proceedings/files/original/articles/zakky_zamrudi.pdf Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Proceedings of the International Symposium on Management (INSYMA) (Vol 22, 2025) Proceedings meta_title Mind Meets Machine: A Scientometric Exploration of the Cognitive Frontier in Generative AI Author #1 Zakky Zamrudi Author #2 Teguh Wicaksono Author #3 Ervica Zamilah Author #4 Suci Norzakia Author #5 Mardiana 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. keywords a;b;c;d Generative AI, Cognitive Knowledge, AI in Education, Human-AI Interaction, Research Trends publication_date 2025/06/20 2025/06/15 pdf_url https://insyma.org/proceedings/files/articles/zakky_zamrudi.pdf abstract_html_url https://insyma.org/proceedings/items/show/ https://insyma.org/proceedings/items/show/377 firstpage 397 lastpage 403 issn 3047-857X 3047-857X conference Proceedings of the International Symposium on Management (INSYMA) Proceedings of the International Symposium on Management (INSYMA) publisher_name Fakultas Bisnis dan Ekonomika, Universitas Surabaya Fakultas Bisnis dan Ekonomika, Universitas Surabaya no article 66 Volume 22 authors Zakky Zamrudi, Teguh Wicaksono, Ervica Zamilah, Suci Norzakia, Mardiana Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Mind Meets Machine: A Scientometric Exploration of the Cognitive Frontier in Generative AI Creator An entity primarily responsible for making the resource Zakky Zamrudi, Teguh Wicaksono, Ervica Zamilah, Suci Norzakia, Mardiana