A customized and automated assignment management and marking system for evaluating student performance in the STEM disciplines

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

1 Citation (Scopus)


This is an Innovative Practice, Work-in-Progress paper focusing on automated marking. The increase in student numbers and decrease in exam performance for a course taught at Monash University, CIV3204, Engineering Investigation (introduction to statistics), has forced the responsible academic to restructure the assessment for this course. A system has been developed to automatically generate and mark individualized assignments for the students. A wide range of questions is possible, including questions of stochastic nature, for which no exact answer exist. Detailed feedback is provided for each student. The system works on all operating systems (Windows, Linux, and Mac), and has received a very positive student evaluation. It has also led to a strongly increased performance in the final exam. This paper presents an overview of the functioning of the system, the results and impact of its implementation, and the lessons that were learned.

Original languageEnglish
Title of host publicationProceedings - 2021 IEEE Frontiers in Education Conference, FIE 2021
PublisherIEEE, Institute of Electrical and Electronics Engineers
ISBN (Electronic)9781665438513
Publication statusPublished - 2021
EventIEEE Frontiers in Education Conference 2021 - Lincoln, United States of America
Duration: 13 Oct 202116 Oct 2021
https://ieeexplore.ieee.org/xpl/conhome/9637048/proceeding (Proceedings)

Publication series

NameProceedings - Frontiers in Education Conference, FIE
ISSN (Print)1539-4565


ConferenceIEEE Frontiers in Education Conference 2021
Abbreviated titleFIE 2021
Country/TerritoryUnited States of America
Internet address


  • educational technology
  • electronic learning

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