هوش مصنوعی و مهارت حل مسأله: آیا استعداد پروتئین مهم است؟

جلالی, محمد; صلواتی, عادل; برائی, مینا

doi:10.22099/jsli.2026.8812

هوش مصنوعی و مهارت حل مسأله: آیا استعداد پروتئین مهم است؟

نوع مقاله : مقاله پژوهشی

نویسندگان

¹ دکتری تخصصی مدیریت دولتی – رفتار سازمانی، دانشکده اقتصاد و مدیریت، دانشگاه لرستان، خرم آباد، لرستان، ایران jalali.mo@fc.lu.ac.ir

² دانشیار گروه مدیریت، دانشکده علوم انسانی، دانشگاه آزاد اسلامی واحد سنندج، سنندج، کردستان، ایران a.salavati@iauasdj.ac.ir

³ دانشجوی کارشناسی ارشد علوم تربیتی – آموزش پیش دبستانی، واحد الکترونیکی دانشگاه آزاد اسلامی، تهران، ایران mi.baraei@gmail.com

10.22099/jsli.2026.8812

چکیده

پژوهش حاضر با هدف بررسی رابطه هوش مصنوعی با مهارت حل مسئله و تبیین نقش تعدیل‌گر استعداد پروتئین در میان کارکنان آموزشی انجام شد. این مطالعه با رویکرد کمّی، طرح مقطعی و بهره‌گیری از پرسشنامه اجرا گردید. جامعه آماری شامل مدیران، معاونان و معلمان دوره‌های اول و دوم متوسطه شهر سنندج بود که از میان آنان 220 نفر با استفاده از روش نمونه‌گیری تصادفی طبقه‌ای انتخاب شدند. کیفیت روان‌سنجی ابزار از طریق بارهای عاملی، آلفای کرونباخ، پایایی ترکیبی، روایی محتوا، روایی همگرا و روایی واگرا ارزیابی و تأیید شد. تحلیل داده‌ها با استفاده از مدل‌سازی معادلات ساختاری حداقل مربعات جزئی انجام گرفت. نتایج نشان داد هوش مصنوعی با مهارت حل مسئله دارای رابطه‌ مثبت و معنادار است و استعداد پروتئین این رابطه را به‌طور معناداری تعدیل می‌کند؛ به‌گونه‌ای که در سطوح بالاتر استعداد پروتئین، اثر هوش مصنوعی بر مهارت حل مسئله تقویت می‌شود. این یافته‌ها نشان می‌دهد تبیین و ارتقای مهارت حل مسئله در بستر آموزشی صرفاً با اتکا به ظرفیت‌های فناورانه کفایت نمی‌کند و مستلزم توجه هم‌زمان به آمادگی‌های فردی و ویژگی‌های انگیزشی است. نوآوری پژوهش در ارائه تبیینی تلفیقی از تعامل میان ظرفیت‌های فناورانه و سرمایه فردی برای فهم بهتر مهارت حل مسئله است؛ که می‌تواند دلالت‌های کاربردی برای سیاست‌گذاری آموزشی، طراحی مداخلات توسعه‌ای و تقویت توان حل مسئله‌ در محیط‌های یادگیری داشته باشد.

کلیدواژه‌ها

موضوعات

آموزش و یادگیری

عنوان مقاله [English]

Artificial Intelligence and Problem Solving Skill: Does Protean Talent Matter?

نویسندگان [English]

Mohammad jalali ¹
Adel Salavati ²
Mina Baraei ³

¹ Ph.D in Public Administration - Organizational Behavior, Faculty of Economics and Management, Lorestan University, Khorram Abad, Lorestan, Iran, jalali.mo@fc.lu.ac.ir

² Associate Professor, Department of Management, Faculty of Humanities, Islamic Azad University, Sanandaj Branch, Sanandaj, Kurdistan, Iran a.salavati@iauasdj.ac.ir

³ M.A. Student in Educational Sciences – Preschool Education, Islamic Azad University, Electronic Branch, Tehran, Iran, mi.baraei@gmail.com

چکیده [English]

The present study was conducted to examine the relationship between artificial intelligence and problem-solving skills and to explain the moderating role of protean talent among educational staff. This study employed a quantitative approach, a cross-sectional design, and a questionnaire-based survey method. The statistical population consisted of principals, assistant principals, and teachers at the lower and upper secondary levels in the city of Sanandaj, from whom 220 participants were selected using stratified random sampling. The psychometric quality of the instrument was assessed and confirmed through factor loadings, Cronbach’s alpha, composite reliability, content validity, convergent validity, and discriminant validity. Data analysis was performed using partial least squares structural equation modeling. The results indicated that artificial intelligence had a positive and significant relationship with problem-solving skills, and protean talent significantly moderated this relationship, such that at higher levels of protean talent, the effect of artificial intelligence on problem-solving skills was strengthened. These findings suggest that explaining and enhancing problem-solving skills in educational settings cannot be achieved solely by relying on technological capacities; rather, it requires simultaneous attention to individual readiness and motivational characteristics. The novelty of the study lies in providing an integrative explanation of the interaction between technological capacities and individual capital for a better understanding of problem-solving skills, which may offer practical implications for educational policymaking, the design of developmental interventions, and the strengthening of problem-solving capacity in learning environments.

کلیدواژه‌ها [English]

Artificial intelligence (AI)
Protean Talent
Problem Solving Skill
Sanandaj Education Department partial least squares structural equation modeling

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