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داوران سال 1399

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داوران سال 1401

بررسی ویژگی‌های روانسنجی پرسشنامه‌ی انگیزه‌های استفاده از هوش مصنوعی در دانشجویان

نوع مقاله : مقاله پژوهشی

نویسندگان

1 استاد، گروه مشاوره، دانشکده علوم تربیتی و روانشناسی، دانشگاه محقق اردبیلی، اردبیل، ایران

2 دانشجوی دکتری مشاوره، گروه مشاوره، دانشگاه محقق اردبیلی، اردبیل، ایران.

3 کارشناسی ارشد روان‌شناسی / آموزگار استثنایی، اداره کل آموزش‌وپرورش اردبیل، پارس‌آباد، ایران.

چکیده

هدف پژوهش حاضر بررسی ویژگی‌های روانسنجی پرسشنامه‌ی انگیزه‌های استفاده از هوش مصنوعی در دانشجویان بود. روش پژوهش حاضر توصیفی و از نوع مطالعات روانسنجی بود. جامعه‌ی آماری پژوهش را تمامی دانشجویان دانشگاه محقق اردبیلی در سال‌تحصیلی 1403-1402 تشکیل می‌دادند که از میان آنها با استفاده از روش نمونه‌گیری در دسترس 318 نفر (187 پسر و 131 دختر) به عنوان نمونه انتخاب شدند. برای جمع‌آوری داده‌ها از پرسشنامه‌ی انگیزه‌های استفاده از هوش مصنوعی یورت و کاسارجی (2024) و نگرش کلّی نسبت به هوش مصنوعی شپمن و رودوی (2020) استفاده شد. برای بررسی روایی پرسشنامه از روایی ملاکی (همزمان) با مقیاس نگرش کلّی نسبت به هوش مصنوعی و تحلیل عاملی تأییدی و برای بررسی پایایی پرسشنامه از روش همسانی درونی استفاده شد. نتایج تحلیل عاملی نشان داد که این پرسشنامه برازش مناسب داشته و در نتیجه از روایی مطلوبی برخوردار است (97/0=CFI، 95/0=NFI، 96/0=NNFI و 059/0=RMSEA). نتایج حاصل از ضریب همسانی درونی (ضریب آلفای کرونباخ) نشانگر پایایی خوب پرسشنامه بود. به طوری که ضریب آلفای کرونباخ برای عامل انتظار 87/0، برای عامل دستیابی 86/0، برای عامل سودمندی 89/0، برای عامل ارزش ذاتی/بهره 82/0 و برای عامل هزینه 72/0 به دست آمد. بنابراین، می‏توان گفت که پرسشنامه‌ی انگیزههای استفاده از هوش مصنوعی برای سنجش این سازه در نمونه‌های دانشجویان ایرانی از روایی و پایایی کافی برخوردار است.

کلیدواژه‌ها

عنوان مقاله [English]

Investigating the Psychometric Properties of the Questionnaire of Artificial Intelligence Use Motives in University Students

نویسندگان [English]

  • Ali Sheykholreslami 1
  • saeed khakdal 2
  • Bahman Zardi gikloo 3

1 Professor, Department of Counseling, Faculty of Educational Sciences and Psychology, University of Mohaghegh Ardabili, Ardabil, Iran

2 Ph.D. Student of Counseling, Department of Counseling, Faculty of Educational Sciences and Psychology, University of Mohaghegh Ardabili, Ardabil, Iran

3 Master of Psychology / Exceptional Teacher, Ardabil General Directorate of Education, Parsabad, Iran.

چکیده [English]

The aim of this study was to investigating the psychometric properties of the Questionnaire of Artificial Intelligence Use Motives in University Students. The present research method was descriptive and the type of psychometric studies. The statistical population of this study consisted of all the students of University of Mohaghegh Ardabili, who were studying in the academic year 2023-2024, and 318 people (187 male and 131 female) were selected from among them using available sampling method. In order to collect information, the Questionnaire of Artificial Intelligence Use Motives Yurt & Kasarci (2024) and general attitudes towards Artificial Intelligence Schepman &Rodway (2020) Scale was used. To check the reliability of the questionnaire, the internal consistency method was used, and to check the validity of the questionnaire, criterion validity (simultaneous) with the scale of general attitude towards artificial intelligence and confirmatory factor analysis was used. The results of factor analysis showed that this questionnaire has a good fit and therefore has good validity (CFI=0/97, NFI=0/95, NNFI=0/96 and RMSEA=0/059). The results of the internal consistency coefficient (Cronbach's alpha coefficient) indicated the good reliability of the questionnaire, so that the Cronbach's alpha coefficient was 0/87 for the expectation factor, 0/86 for the attainment factor, 0/89 for the utility factor, and 0/82 for the intrinsic value/interest factor and 0/72 was obtained for the cost factor. Therefore, based on the findings of this research, it can be concluded that the questionnaire of artificial intelligence use motives has sufficient validity and reliability to measure this construct in Iranian samples.

کلیدواژه‌ها [English]

  • motives
  • artificial intelligence
  • expectancy
  • attainment
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فصلنامه اندازه گیری تربیتی
دوره 16، شماره 59
فروردین 1404
صفحه 67-120
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هم رسانی
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