Technical Aspects of Automated Item Generation for Blended Learning Environments in Biology-Reference-Cited by-同舟云学术

Technical Aspects of Automated Item Generation for Blended Learning Environments in Biology

Published:2020-04-01 Issue:1 Volume:19 Page:3-15
ISSN:2196-6826
Container-title:i-com
language:en
Short-container-title:

Author:

Timm Justin¹^ORCID,Otto Benjamin²,Schramm Thilo¹^ORCID,Striewe Michael²,Schmiemann Philipp¹^ORCID,Goedicke Michael²

Affiliation:

1. 27170 University of Duisburg-Essen , Biology Education , Universitätsstraße 5 , Essen , Germany

2. 27170 University of Duisburg-Essen , paluno - The Ruhr Institute for Software Technology , Essen , Germany

Abstract

Abstract Using two case studies from biology, the article demonstrates and analyses how domain-specific self-learning items with variable content can be generated automatically for a blended learning environment. It shows that automated item generation works well even for highly specific technical properties and that a good item quality can be produced. Evaluations are based on sample exercises from two courses in botany and genetics, each with more than 100 participants.

Funder

Bundesministerium für Bildung und Forschung

Publisher

Walter de Gruyter GmbH

Subject

Computer Networks and Communications,Human-Computer Interaction,Communication,Business, Management and Accounting (miscellaneous),Information Systems,Social Psychology

Link

https://www.degruyter.com/document/doi/10.1515/icom-2020-0001/pdf

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4. R. L. Bennett, K. S. French, R. G. Resta, and D. L. Doyle. 2008. Standardized human pedigree nomenclature. Update and assessment of the recommendations of the National Society of Genetic Counselors. Journal of Genetic Counseling 17(5), 424–433.

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