Big data analysis of examinee multiple choice Question examination log files

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The Assessment Management System (AMS) at the College of Medicine and Health Sciences (CMHS), United Arab Emirates University has been in use now for five years. 450 assessments of the Multiple Choice Question (MCQ) variety have been conducted over this period. Currently there are over 25,000 unique MCQ questions in the question bank which have been developed by CMHS faculty members for the most part, assessing all levels of the medical curriculum. These questions are stored in the system along with their tags and psychometric data. The aim of this research is to analyze examinee examination behaviors during multiple choice question exams using log file "big data" for the purpose of extracting valid insights leading to evidence-based educational decision-making.

Original languageEnglish
Title of host publicationIMSCI 2016 - 10th International Multi-Conference on Society, Cybernetics and Informatics, Proceedings
EditorsAndres Tremante, Belkis Sanchez, Nagib Callaos, Friedrich Welsch
PublisherInternational Institute of Informatics and Systemics, IIIS
Pages266-267
Number of pages2
ISBN (Electronic)9781941763483
Publication statusPublished - 2016
Event10th International Multi-Conference on Society, Cybernetics and Informatics, IMSCI 2016 - Orlando, United States
Duration: Jul 5 2016Jul 8 2016

Publication series

NameIMSCI 2016 - 10th International Multi-Conference on Society, Cybernetics and Informatics, Proceedings

Other

Other10th International Multi-Conference on Society, Cybernetics and Informatics, IMSCI 2016
Country/TerritoryUnited States
CityOrlando
Period7/5/167/8/16

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems

Fingerprint

Dive into the research topics of 'Big data analysis of examinee multiple choice Question examination log files'. Together they form a unique fingerprint.

Cite this