پژوهشهای زبانشناختی در زبانهای خارجی

پژوهشهای زبانشناختی در زبانهای خارجی

اعتباریابی و بررسی ویژگی‌های روان‌سنجی مقیاس سواد هوش مصنوعی در نوشتار زبان دوم: مطالعه‌ای در میان دانشجومعلمان ایرانی

نوع مقاله : علمی پژوهشی(عادی)

نویسندگان
1 گروه آموزش علوم تربیتی، دانشگاه فرهنگیان، تهران، ایران.
2 گروه تکنولوژی آموزشی، دانشکده علوم تربیتی و روانشناسی، دانشگاه خوارزمی، کرج، ایران.
3 گروه آموزش زبان و ادبیات فارسی، دانشگاه فرهنگیان، تهران، ایران.
10.22059/jflr.2026.410849.1276
چکیده
هدف: هدف از پژوهش حاضر، اعتباریابی و بررسی ویژگی‌های روان‌سنجی نسخه فارسی مقیاس سواد هوش مصنوعی در نوشتار زبان دوم در میان دانشجومعلمان بود.
روش پژوهش: پژوهش با طرح توصیفی - پیمایشی و در زمره مطالعات ابزارسازی (روان‌سنجی) انجام شد. جامعه آماری همه دانشجومعلمان دانشگاه فرهنگیان در سال تحصیلی ۱۴۰۵‑۱۴۰۴ بودند که ۸۲۸ نفر (۴۸۵ زن و ۳۴۳ مرد) از آن‌ها با روش نمونه‌گیری در دسترس انتخاب شدند. سپس برای بررسی دقیق ویژگی‌های روان‌سنجی و جلوگیری از پیش‌برازش، کل نمونه به‌صورت تصادفی به دو زیرنمونه مستقل ۴۱۴ نفری تقسیم شد؛ زیرنمونه نخست برای تحلیل عاملی اکتشافی و زیرنمونه دوم برای تحلیل عاملی تأییدی به کار رفت.
یافته‌ها و نتیجه‌گیری: نتایج تحلیل عاملی اکتشافی بر روی زیر نمونه اول، ساختاری چهار عاملی شامل درک، استفاده، ارزیابی و اخلاق را استخراج کرد که 56.15 درصد از واریانس کل را تبیین می‌کرد. در ادامه، نتایج تحلیل عاملی تأییدی بر روی زیر نمونه دوم، برازش مطلوب مدل استخراج شده و ساختار سلسله‌مرتبه‌ای مقیاس را تأیید کرد. پایایی مقیاس با استفاده از ضریب آلفای کرونباخ 0.93 و پایایی ترکیبی (بالای 0.8) در سطح بسیار مطلوبی گزارش شد. همچنین روایی ملاکی از طریق همبستگی مثبت و معنادار (0.73) با سازه نگرش نسبت به استفاده از هوش مصنوعی در یادگیری زبان دوم تأیید گردید. یافته‌ها نشان داد که میانگین سواد هوش مصنوعی دانشجویان بالاتر از حد متوسط است، اما درحالی‌که مؤلفه اخلاق بیشترین امتیاز را کسب کرده، مؤلفه ارزیابی کمترین میزان را داراست. به‌طورکلی، این مقیاس ابزاری روا و پایا برای سنجش سواد هوش مصنوعی در نگارش زبان دوم در بافت آموزش عالی ایران است و می‌تواند به‌عنوان مبنایی برای طراحی دوره‌های آموزشی با تمرکز بر تفکر انتقادی و استفاده اخلاقی از فناوری‌های نوین مورداستفاده قرار گیرد.
کلیدواژه‌ها
موضوعات

عنوان مقاله English

Validation and Psychometric Evaluation of the Artificial Intelligence Literacy Scale in Second Language Writing: A Study Among Iranian Student Teachers

نویسندگان English

AZAD ALLAHKARAMI 1
Sseed Latifi 2
fateme rezaee 3
1 Department of educational sciences, Farhangian University, Tehran, Iran, Iran.
2 Department of Educational Technology, Faculty of Educational Sciences and Psychology, Kharazmi University, Karaj, Iran
3 Department of Persian Language and Literature Education, Farhangian University, Tehran, Iran
چکیده English

Objective: This study aimed to validate and examine the psychometric properties of the Persian version of the Artificial Intelligence Literacy Scale in Second Language Writing among Iranian student teachers.
Method: The research employed a descriptive-survey design and falls within the category of instrument development (psychometric) studies. The statistical population consisted of all student teachers at Farhangian University in the academic year 2025–2026, from whom 828 participants (485 females and 343 males) were selected through convenience sampling. To precisely examine the psychometric properties and prevent overfitting, the total sample was randomly divided into two independent subsamples of 414 participants each. The first subsample was used for exploratory factor analysis (EFA), and the second subsample was used for confirmatory factor analysis (CFA). Reliability was assessed using Cronbach’s alpha and composite reliability, and criterion-related validity was examined through correlation with the construct of attitude toward the use of artificial intelligence in second language learning.
Results: Exploratory factor analysis on the first subsample extracted a four-factor structure (Understanding, Usage, Evaluation, and Ethics) that explained 56.15% of the total variance. Confirmatory factor analysis on the second subsample confirmed the desirable fit of the extracted model and the hierarchical structure of the scale. The scale demonstrated high reliability (Cronbach’s alpha = 0.93; composite reliability > 0.80). Criterion-related validity was supported by a positive and significant correlation (r = 0.73) with the attitude construct. The mean artificial intelligence literacy of the students was above average, with the Ethics component obtaining the highest score and the Evaluation component the lowest.
Conclusions: The findings indicate that the Persian version of the Artificial Intelligence Literacy Scale in Second Language Writing is a valid and reliable instrument for assessing AI literacy in L2 writing within the Iranian higher education context. It can serve as a basis for designing educational courses focused on critical thinking and the ethical use of modern technologies.

کلیدواژه‌ها English

Artificial intelligence literacy
Second language writing
Validation
Student teachers.
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