بررسی ویژگی‌های روانسنجی مقیاس خودکارآمدی کاربر هوش مصنوعی در جامعۀ ایرانی

نوع مقاله : مقاله پژوهشی

نویسندگان

1 استاد گروه مشاوره، دانشگاه محقق اردبیلی، اردبیل، ایران.

2 دانشجوی دکتری مشاوره، دانشکدۀ علوم تربیتی و روانشناسی، دانشگاه محقق اردبیلی، اردبیل، ایران.

چکیده

هدف: این پژوهش با هدف ارزیابی ویژگی‌های روانسنجی مقیاس خودکارآمدی کاربر هوش مصنوعی در جامعۀ ایرانی انجام شد.
روش: روش پژوهش توصیفی از نوع پیمایشی بود. جامعۀ آماری شامل تمامی افراد بالای 20 سال در ایران در سال 1403 بود که دانش مقدماتی در زمینۀ کامپیوتر و هوش مصنوعی داشتند. از میان آنها، 340 نفر (137 مرد و 203 زن) به روش نمونه‌گیری دردسترس انتخاب شدند. ابزار گردآوری داده شامل مقیاس خودکارآمدی کاربر هوش مصنوعی، پرسشنامۀ انگیزه‌های استفاده از هوش مصنوعی و فرم کوتاه مقیاس نگرش نسبت به هوش مصنوعی بود.
یافته‌ها: تحلیل عاملی تأییدی چهار عامل کلیدی شامل کمک، تعامل انسان‌وار، راحتی با هوش مصنوعی و مهارت‌های تکنولوژیکی را برای مقیاس خودکارآمدی تأیید کرد. نتایج ضرایب همبستگی پیرسون برای بررسی روایی همزمان (همگرا و واگرا) این مقیاس نشان داد که بین خرده مقیاس‌های آن و خرده مقیاس‌های پرسشنامۀ انگیزه‌های استفاده از هوش مصنوعی و خرده مقیاس پذیرش هوش مصنوعی در مقیاس نگرش نسبت به هوش مصنوعی همبستگی مثبت معنادار و با خرده مقیاس ترس از هوش مصنوعی در مقیاس نگرش نسبت به هوش مصنوعی همبستگی منفی معنادار وجود دارد. همسانی درونی خرده مقیاس‌های این پرسشنامه نیز با استفاده از آلفای کرونباخ و ضرایب همبستگی بین 83/0 تا 96/0 تأیید شد.
نتیجه‌گیری: این مقیاس از ویژگی‌های روانسنجی مناسبی در جامعۀ ایرانی برخوردار است و می‌تواند در تحقیقات مرتبط برای طراحی برنامه‌های آموزشی مؤثر و تسهیل پذیرش هوش مصنوعی در سازمان‌ها به کار گرفته شود.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Psychometric Evaluation of the Artificial Intelligence User Self-Efficacy Scale in the Iranian Population

نویسندگان [English]

  • Esmaeil Sadri Damirchi 1
  • Maryam Ghahremanloo 2
  • Saeed Khakdal Gojebagloo 2
1 Professor of Counseling, University of Mohaghegh Ardabili, Ardabil, Iran.
2 PhD student in Counseling, Faculty of Educational Sciences and Psychology, University of Mohaghegh Ardabili, Ardabil, Iran.
چکیده [English]

Aim: This study aimed to evaluate the psychometric properties of the Artificial Intelligence User Self-Efficacy Scale in an Iranian adult sample.

Method: Using a descriptive survey design, 340 adults (137 men, 203 women) aged over 20 with basic AI and computer knowledge were selected via convenience sampling in 2024. Instruments included the AI User Self-Efficacy Scale, Questionnaire of AI Use Motives (QAIUM), and the Attitudes Toward AI Scale – Short Form (ATAI).

Results: Confirmatory factor analysis supported four dimensions: assistance, anthropomorphic interaction, comfort with AI, and technological skills. Significant positive correlations with QAIUM and ATAI (acceptance subscale) and a negative correlation with the fear of AI subscale confirmed concurrent validity. Reliability (Cronbach’s alpha) ranged from 0.83 to 0.96.

Conclusion: The scale demonstrates strong psychometric properties in the Iranian population and may support educational and organizational AI adoption.

کلیدواژه‌ها [English]

  • Anthropomorphic interaction
  • Assistance
  • Comfort with AI
  • Technological skills
  • User self-efficacy

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