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Generating Exams and Formative Feedback
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Systems and Technology.
2018 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Creating an exam that ensures an even coverage over all the Intended Learning Outcomes and at the same time ensures that to pass, the student should have passed all the Intended Learning Outcomes can be a difficult task. After an exam have been graded, formative feedback should be given to the students, especially in those cases where they did not pass the exam. This can be a time consuming process, and because of this, it is not always possible to give as good feedback as one would otherwise like. In this project an exam tool was created, for assisting in creating exams and give individual formative feedback to the students after an exam. By storing all the questions in a database, where each question is connected to an Intended Learning Outcome, along with writing the questions in a standardised format, with regards to point representations, grading rubrics and references it becomes possible to automatically generate exams. Generated individual feedback is created by combining the information in the question together with the students result. The feedback provides motivation of given grade, which topics a student should read up on, along with recommended reading instructions. In those cases a student got a full mark, it is also possible to provide further study instructions, this can be anything from recommended articles and book chapter, to courses. Differential privacy have been used to anonymize the grade distribution to make it possible to show the students how the exam went, without risk exposing what grade a certain student got. The exam tool created achieves all of these goals, however there are still much room for improvement. The anonymisation function needs further development, since differential privacy is not suitable for small datasets. The usability of the interface and feedback reports needs more work. However in its current state it is fully functional and have been used in numerous courses.

Place, publisher, year, edition, pages
2018. , p. 132
Keywords [en]
E-learning, Generating exams, Generating formative feedback, privacy
National Category
Computer Engineering
Identifiers
URN: urn:nbn:se:miun:diva-35561Local ID: DT-H17-A2-001OAI: oai:DiVA.org:miun-35561DiVA, id: diva2:1284192
Subject / course
Computer Engineering DT1
Educational program
International Master's Programme in Computer Engineering TDAAA 120 higher education credits
Supervisors
Examiners
Available from: 2019-01-31 Created: 2019-01-31 Last updated: 2019-01-31Bibliographically approved

Open Access in DiVA

fulltext(1880 kB)17 downloads
File information
File name FULLTEXT01.pdfFile size 1880 kBChecksum SHA-512
a29edb131b4350f5bb7559a96e5be09ca58825f0538c6d21d9d2922606b713790506a0825102da1a4959c9f9ae6703dc053b727d535d92e3ad12adf8bec5daf5
Type fulltextMimetype application/pdf

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Franked, Lennart
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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf