TALABALARINING QAROR QABUL QILISH KOʻNIKMALARINI KOGNITIV USULLAR ORQALI RIVOJLANTIRISH USULLARI

dc.contributor.authorYunusova Minavvarkhon Sabirovna
dc.contributor.authorAkhmedova Iroda Nurmukhamedovna
dc.date.accessioned2026-03-15T20:33:48Z
dc.date.issued2026-03-15
dc.description.abstractThis study aims to develop a scientific and methodological model for enhancing decision-making skills of law students through cognitive teaching methods. The research was conducted using a quasi-experimental design involving 59 participants. Traditional lecture-based instruction was applied in the control group, while the experimental group was taught using case-based learning, decision tree modeling, mind mapping, debate technology, and the integration of an AI-based legal chatbot. Decision-making skills were assessed according to four criteria: problem identification, generation of alternatives, normative justification, and logical conclusion formulation. The results demonstrated a statistically significant improvement in the experimental group (p < 0.05). The findings confirm the effectiveness of cognitive approaches in developing analytical thinking and professional decision-making competencies in legal education.
dc.formatapplication/pdf
dc.identifier.urihttps://ejird.journalspark.org/index.php/ejird/article/view/1979
dc.identifier.urihttps://asianeducationindex.com/handle/123456789/119477
dc.language.isoeng
dc.publisherJournal Park Publishing
dc.relationhttps://ejird.journalspark.org/index.php/ejird/article/view/1979/1917
dc.rightshttps://creativecommons.org/licenses/by-nd/4.0
dc.sourceEuropean Journal of Interdisciplinary Research and Development ; Vol. 49 (2026); 81-85
dc.source2720-5746
dc.subjectdecision making, cognitive methods, legal education, case analysis, dual learning, artificial intelligence, analytical thinking, digital competence, analytical thinking, legal chatbot.
dc.titleTALABALARINING QAROR QABUL QILISH KOʻNIKMALARINI KOGNITIV USULLAR ORQALI RIVOJLANTIRISH USULLARI
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typePeer-reviewed Article

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