Overcoming Student Passivity with Automatic Item Generation

Research output: Contribution to book/conference proceedings/anthology/reportConference contributionContributedpeer-review

Contributors

Abstract

Studying at German universities is often associated with a passive mode of learning. Using learning tasks and (self-)test items is an effective way to address this issue. However, due to the high cost of creation, these materials are rarely provided to learners. The approach of Automatic Item Generation (AIG) allows for the resource-efficient generation of learning tasks and (self-)test items. This paper demonstrates, after presenting general ideas of AIG, how tasks or items can be automatically generated using the AIG Model Editor designed at TUD Dresden University of Technology. Subsequently, items generated using the AIG approach are compared with items created in a traditional manner. The results show that automatically generated items have comparable properties to traditionally created items, but their generation requires much less effort than the traditional creation, thus making AIG appear as a promising alternative for supporting active learning at universities.

Details

Original languageEnglish
Title of host publicationProceedings of the 16th International Conference on Computer Supported Education, CSEDU 2024
EditorsOleksandra Poquet, Alejandro Ortega-Arranz, Olga Viberg, Irene-Angelica Chounta, Bruce McLaren, Jelena Jovanovic
PublisherSCITEPRESS - Science and Technology Publications
Pages789-798
Number of pages10
Volume1
ISBN (electronic)9789897586972
ISBN (print)978-989-758-697-2
Publication statusPublished - 2024
Peer-reviewedYes

External IDs

unpaywall 10.5220/0012747500003693
Scopus 85193973916

Keywords

Research priority areas of TU Dresden

Subject groups, research areas, subject areas according to Destatis

Sustainable Development Goals

Keywords

  • AIG, Assessment, Automatic Item Generation, Cognitive Model, Item Model