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Fuzzy Logic: A Case in Testing Fairness

عنوان مقاله: Fuzzy Logic: A Case in Testing Fairness
شناسه ملی مقاله: ICFUZZYS14_036
منتشر شده در چهاردهمین کنفرانس سیستم های فازی ایران در سال 1394
مشخصات نویسندگان مقاله:

Arshya Keyvanfar - Academic member, Department of Foreign Languages, Tehran North Branch, Islamic Azad University, Tehran, Iran,
Saber Saati - Academic member, Department of Mathematics, Tehran North Branch, Islamic Azad University, Tehran, Iran,
Saati Abbaszadeh - M. Sc., Department of Foreign Languages, Tehran North Branch, Islamic Azad University, Tehran, Iran,

خلاصه مقاله:
This study was an attempt to investigate the efficiency of the newly proposed scoring procedure, Fuzzy Partial Credit Scoring (FPCS) method to Multiple-choice (MC) items tests. This scoring procedure was proposed with the primary aim of moving beyond the zero-one view toward measuring test takers‘ knowledge, distinguishing random and informed guesses and increasing the validity of test score interpretation. To meet the aforementioned goals, the conventional correction for guessing scoring procedure and the FPCS method were employed to score 2229 test takers‘ answer sheets on Master of Art (MA) Teaching English as a Foreign Language (TEFL) state University Entrance Examination (UEE). The results revealed that there were more than 70 differences in more than 50% of test takers‘ ranks when the two scoring method were compared. The FPCS method was further appeared to be sensitive to test takers‘ partial knowledge and it successfully distinguished random and informed guesses. The application of fuzzy set in this study appeared to beneficially improve accuracy in testing and measurement, and it enhance testing fairness through appreciating testtakers‘ partial knowledge.

کلمات کلیدی:
Fuzzy set, correction for guessing, multiple-choice tests, partial credit scoring, University Entrance Exam

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/730800/