Araştırma Makalesi

FOCUS GROUP ANALYSIS ON INFORMATION PERCEPTION WITH ARTIFICIAL INTELLIGENCE-ASSISTED SUMMARIZATION

Cilt: 24 Sayı: 2 24 Haziran 2026
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FOCUS GROUP ANALYSIS ON INFORMATION PERCEPTION WITH ARTIFICIAL INTELLIGENCE-ASSISTED SUMMARIZATION

Öz

The influence of artificial intelligence in facilitating daily living has led to its growing adoption across all sectors. In academic writing and education, the significance of artificial intelligence is growing as it rapidly analyzes data, enhances information accessibility, and possesses the capability to summarize, clarify, and elucidate concepts, hence improving understanding for non-experts. This study was conducted in the realm of education, specifically focusing on adaptive learning, with the research issue addressing the extent of material comprehension facilitated by AI summarization. In the study, to assess information perception, a chosen article was read to 12 individuals from a focus group of 24 via the AI-assisted summarizing tool NotebookLM, while the remaining 12 individuals listened to the article. The participants were inquired about the article's title, central theme, subject of the academic investigation, pertinent constitutional provision, data source, volume of data, analytical methodology, findings, and prospective research inquiries. The provided responses were classified as correct or wrong. The K Independent Samples analysis, a non-parametric test, was employed in the data analysis. The findings indicated no disparity between the reading and listening groups about their comprehension of the constitutional article examined, the data source, and the nation in which the research was done. Nonetheless, disparities arise between the reading and listening groups regarding the article title, the emphasis of the academic study, the topic matter, the volume of data, the analytical methodology, the findings, and the prospective research objectives. Consequently, it has been noted that there is no distinction between readers and listeners regarding the acquisition of fundamental and superficial knowledge in the study. Nonetheless, the study's significance lies in the observation that listeners demonstrated a disparity in accurately responding to queries necessitating greater detail in comparison to readers. In this context, AI-assisted summarization not only enhances information accessibility but also offers significant insights into how various learning methodologies influence the information perception process.

Anahtar Kelimeler

Etik Beyan

I declare that this study is original; that I adhered to scientific ethical principles and rules in all stages of the study, including preparation, data collection, analysis, and presentation of information; that I cited all data and information not obtained within the scope of this study and included these sources in the bibliography; that I did not make any changes to the data used; and that I complied with all the terms and conditions of the Committee on Publication Ethics (COPE) and fulfilled my ethical duties and responsibilities. I hereby declare that I am aware that if any situation contrary to this statement regarding my work is detected at any time, I will accept all resulting ethical and legal consequences.

Kaynakça

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  6. Borkowska, E. M., Kruk, A., Jedrzejczyk, A., Rozniecki, M., Jablonowski, Z., Traczyk, M., Constantinou, M., Banaszkiewicz, M., Pietrusinski, M., and Sosnowski, M. (2014) “Molecular Subtyping of Bladder Cancer Using Kohonen Self-Organizing Maps”, Cancer Medicine, 3(5); 1225–1234.
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Ayrıntılar

Birincil Dil

İngilizce

Konular

Demografi (Diğer)

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

24 Haziran 2026

Gönderilme Tarihi

21 Ocak 2026

Kabul Tarihi

26 Mart 2026

Yayımlandığı Sayı

Yıl 2026 Cilt: 24 Sayı: 2

Kaynak Göster

APA
Torun, N. K., & Torun, T. (2026). FOCUS GROUP ANALYSIS ON INFORMATION PERCEPTION WITH ARTIFICIAL INTELLIGENCE-ASSISTED SUMMARIZATION. Journal of Management and Economics Research, 24(2), 231-251. https://doi.org/10.11611/yead.1868570
AMA
1.Torun NK, Torun T. FOCUS GROUP ANALYSIS ON INFORMATION PERCEPTION WITH ARTIFICIAL INTELLIGENCE-ASSISTED SUMMARIZATION. Journal of Management and Economics Research. 2026;24(2):231-251. doi:10.11611/yead.1868570
Chicago
Torun, Nur Kuban, ve Tolga Torun. 2026. “FOCUS GROUP ANALYSIS ON INFORMATION PERCEPTION WITH ARTIFICIAL INTELLIGENCE-ASSISTED SUMMARIZATION”. Journal of Management and Economics Research 24 (2): 231-51. https://doi.org/10.11611/yead.1868570.
EndNote
Torun NK, Torun T (01 Haziran 2026) FOCUS GROUP ANALYSIS ON INFORMATION PERCEPTION WITH ARTIFICIAL INTELLIGENCE-ASSISTED SUMMARIZATION. Journal of Management and Economics Research 24 2 231–251.
IEEE
[1]N. K. Torun ve T. Torun, “FOCUS GROUP ANALYSIS ON INFORMATION PERCEPTION WITH ARTIFICIAL INTELLIGENCE-ASSISTED SUMMARIZATION”, Journal of Management and Economics Research, c. 24, sy 2, ss. 231–251, Haz. 2026, doi: 10.11611/yead.1868570.
ISNAD
Torun, Nur Kuban - Torun, Tolga. “FOCUS GROUP ANALYSIS ON INFORMATION PERCEPTION WITH ARTIFICIAL INTELLIGENCE-ASSISTED SUMMARIZATION”. Journal of Management and Economics Research 24/2 (01 Haziran 2026): 231-251. https://doi.org/10.11611/yead.1868570.
JAMA
1.Torun NK, Torun T. FOCUS GROUP ANALYSIS ON INFORMATION PERCEPTION WITH ARTIFICIAL INTELLIGENCE-ASSISTED SUMMARIZATION. Journal of Management and Economics Research. 2026;24:231–251.
MLA
Torun, Nur Kuban, ve Tolga Torun. “FOCUS GROUP ANALYSIS ON INFORMATION PERCEPTION WITH ARTIFICIAL INTELLIGENCE-ASSISTED SUMMARIZATION”. Journal of Management and Economics Research, c. 24, sy 2, Haziran 2026, ss. 231-5, doi:10.11611/yead.1868570.
Vancouver
1.Nur Kuban Torun, Tolga Torun. FOCUS GROUP ANALYSIS ON INFORMATION PERCEPTION WITH ARTIFICIAL INTELLIGENCE-ASSISTED SUMMARIZATION. Journal of Management and Economics Research. 01 Haziran 2026;24(2):231-5. doi:10.11611/yead.1868570