Project Details

Automatic Assessment Score Analysis

The project creates Automatic Assessment Score Analysis (AASA) software to analyze properly scores of test questions, essays, etc. AASA requires zero statistics/computer knowledge and uses teachers’ existing data on their students’ scores. AASA applies cutting-edge statistics to assess students accurately and produce an easy-to-understand report that (a) sorts students (lowest to highest learning outcomes), (b) sorts questions from easiest to hardest (poorly- to well-understood ideas), and (c) suggests removal of poor questions (easily guessed, misleading, etc.).

Commencement Date : 2019/1
Completion Date : 2021/6
Chief Investigator(s) : Prof CHIU, Ming Ming [ARC,SEC]
Co-Investigator(s) : Prof LO, Sing Kai 盧成皆 [ARC,CSENIE,FLASS,GS,VP(RD)]
MOK, Magdalena Mo Ching *
Dr KWAN, Lok Yin Joyce 關樂言 [ARC,CPH,PS]
Dr YAN, Zi 晏子 [ARC,C&I]
Dr LING, Man Ho Alpha 凌萬豪 [MIT]
POON KIN MAN 潘建文 #
Dr MATSUNOBU, Koji 松信浩二 [CCA]
HSU CHIA LING 許嘉凌 #
CHEN CHIA WEN 陳珈文 #
Keyword(s) : Automatic Assessmen  




*Investigator from an outside institution/organization
#Investigator who had served in EdUHK


      Private Policy | Site Map | Contact Us | Disclaimer | Copyright | v6.35 (PURE) Submit Comment