我校語(yǔ)言教育與測(cè)評(píng)研究中心（CLEAR）于2021年4月16日下午舉辦本年度第一次研究方法工作坊，主題為“多側(cè)面Rasch測(cè)量模型（MFRM)在語(yǔ)言能力評(píng)價(jià)中的應(yīng)用”。工作坊由國(guó)際商務(wù)外語(yǔ)學(xué)院2019級(jí)語(yǔ)言學(xué)班研究生宋凱月主講，CLEAR中心主任蔡雨陽(yáng)教授協(xié)助講解。外語(yǔ)學(xué)院部分教師及研究生參加了此次工作坊。
The Centre for Language Education and Assessment Research (CLEAR) launched the 2021 workshop series on 16th April, with a workshop on the use of Many-Facet Rasch Measurement (MFRM). The workshop was co-instructed by Ms Kaiyue Song (a graduate student of Applied Linguistics) and Professor Yuyang Cai (Director of CLEAR).
工作坊伊始，蔡雨陽(yáng)教授介紹多側(cè)面Rasch模型（MFRM）在外語(yǔ)教學(xué)和測(cè)評(píng)中的用途，指出MFRM模型可以較好控制評(píng)分員主觀(guān)性差異、評(píng)分標(biāo)準(zhǔn)質(zhì)量、量表屬性等因素帶來(lái)的測(cè)量偏差，從而提供較為公平的分?jǐn)?shù)。
Professor Cai opened the workshop by introducing the benefits of using MFRM to control for bias form raters, rubrics, and the scale in perform-based assessment in the context of foreign language education and assessment. Next, Ms. Song briefly covered the mathematics underlying MFRM before moving to a review of empirical studies using MFRM in language research.
接著由宋凱月同學(xué)簡(jiǎn)要介紹了MFRM的數(shù)學(xué)機(jī)制以及在外語(yǔ)研究中運(yùn)用文獻(xiàn)。隨后以2名評(píng)分員對(duì)120份作文的雙評(píng)分?jǐn)?shù)數(shù)據(jù)為例，逐步展示了如何操作Facet軟件進(jìn)行MFRM分析。宋凱悅最后強(qiáng)調(diào)了教學(xué)過(guò)程中教師可以運(yùn)用MFRM來(lái)確定極端分值并重新賦分，以最大程度保證分?jǐn)?shù)結(jié)果的公正性。
In the following 60 minutes, Ms Song demonstrated step-by-step how to use the program FACET to conduct MFRM with a set of rating data by two raters. She closed her demonstration by emphasizing that MFRM can be a powerful and efficient tool for detecting problematic score assignment by human raters to enhance scoring validity.
最后，由蔡雨陽(yáng)教授作了總結(jié)發(fā)言，對(duì)宋凱月同學(xué)的精彩講解表示感謝，并鼓勵(lì)老師和同學(xué)們充分運(yùn)用MFRM的功能提升外語(yǔ)教學(xué)和科研質(zhì)量。師生們對(duì)此次工作坊表現(xiàn)出濃厚的興趣，會(huì)后參會(huì)者仍然同主講人就如何運(yùn)用MFRM模型進(jìn)行科研合作進(jìn)行了深刻的探討。
After active discussion between the instructors and the audience, Professor Cai closed the workshop with a high appreciation of Ms Song’s excellent instruction and a call for use of MFRM in foreign language teaching and research.