Research and Publications

Nishanova Aziza Mirzaxmadovna

Tursunova Gulasal Akramjon qizi

10.5281/zenodo.22813599

Annotatsiya

 Raqamli platformalarda baholash obyektivligini ta’minlash zamonaviy ta’limning dolzarb muammosidir. Onlayn testlar va sun’iy intellekt asosidagi tizimlar qulaylik yaratgan bo‘lsa-da, algoritmik tarafkashlik, texnik nosozliklar va demografik farqlar ishonchlilikni pasaytiradi. Tadqiqotlar shuni ko‘rsatadiki, mashina o‘rganishi modellari mavjud nohaqliklarni kuchaytirishi mumkin. Obyektivlikni oshirish uchun shaffoflik, aniq mezonlar, o‘qituvchi va talabalarni o‘qitish, baholash shakllarini diversifikatsiya qilish hamda inson omilini saqlab qolish zarur. Xalqaro standartlarga asoslangan yondashuv texnik yechimlarni pedagogik dizayn bilan uyg‘unlashtirish orqali adolatli va ishonchli baholashni ta’minlaydi. 

Kalit so'zlar:

raqamli baholash, obyektivlik, algoritmik tarafkashlik, avtomatlashtirilgan
baholash, proctoring, validlik, shaffoflik.

Foydalanilgan adabiyotlar

1. Baartman L.K.J., Bastiaens T.J., Kirschner P.A., van der Vleuten C.P.M. Evaluating assessment quality in competence-based education: A qualitative comparison of two frameworks // Educational Research Review. – 2007. – Vol. 2. – P. 114–129. 2. Grother P., Ngan M., Hanaoka K. Face Recognition Vendor Test (FRVT) Part 3: Demographic Effects. – National Institute of Standards and Technology, 2019. – 87 p. 3. International Test Commission & Association of Test Publishers. Guidelines for Technology-Based Assessment. – 2022. – 156 p. 4. Johnson M.S. Psychometric Methods to Evaluate Measurement and Algorithmic Bias in Automated Scoring // Journal of Educational Measurement. – 2022. – Vol. 59, No. 3. – P. 338–361. 5. Serutla L., et al. Distance learning student assessment in a digital environment in the age of artificial intelligence // ERIC. – 2024. – EJ1499134. 6. Standards for Educational and Psychological Testing. – American Educational Research Association, American Psychological Association, National Council on Measurement in Education, 2014. 7. Tay L., et al. Technology-based assessment: Validity, reliability and measurement bias issues // Related works (2020–2021).

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