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Special Session
Special Session on
Automatic Item Generation
 - AIG 2024

2 - 4 May, 2024 - Angers, France

Within the 16th International Conference on Computer Supported Education - CSEDU 2024


CHAIR

Gregor Damnik
Independent Researcher
Germany

 
Brief Bio
Gregor Damnik is currently working as the chair representative of the Professorship of Didactics of Computer Science at the TU Dresden, Germany. He received his PhD in Psychology in the topic of learning with digital media at the TU Dresden. He is interested in research on the (automatic) generation of learning tasks and test items, digital services for learning, learning level diagnostics, as well as the overall effects of learning with digital media.

SCOPE

Due to the digitalization of a huge amount of learning processes, the interest for digital assessment methods has been growing in recent years. However, creating test items by hand is a time- and resource consuming procedure.
In the special session, we will discuss Automatic Item Generation (AIG), which is a process that significantly differs from the traditional way of item creation. In AIG, experts do not write single items; rather they create a highly structured representation of the subject area, which is called cognitive model. Afterwards, experts create an item model that can be used as a pattern for an item pool. Lastly, software is used to create a bunch of items by combining the cognitive and the item model.

TOPICS OF INTEREST

Topics of interest include, but are not limited to:
  • Assessment
  • Metrics and Performance Measurement
  • Authoring Tools, Editors, and eLearning Platforms
  • Course Design and eLearning Curriculae
  • Feedback and Learning Support
  • AI Support for Item Creation

IMPORTANT DATES

Paper Submission: March 4, 2024 (extended)
Authors Notification: March 14, 2024
Camera Ready and Registration: March 22, 2024

SPECIAL SESSION PROGRAM COMMITTEE

Iris Braun, Computer Science, Dresden Technical University, Germany
Mark J. Gierl, Measurement, Evaluation, and Data Science, University of Alberta, Canada
Tenshi Hara, State Study Academy Dresden, Saxon University of Cooperative Education, Germany
Torsten Munkelt, Computer Science/Mathematics, University of Applied Sciences Dresden, Germany
Antje Proske, Faculty of Psychology, TU Dresden, Germany

(list not yet complete)

PAPER SUBMISSION

Prospective authors are invited to submit papers in any of the topics listed above.
Instructions for preparing the manuscript (in Word and Latex formats) are available at: Paper Templates
Please also check the Guidelines.
Papers must be submitted electronically via the web-based submission system using the appropriated button on this page.

PUBLICATIONS

After thorough reviewing by the special session program committee, all accepted papers will be published in a special section of the conference proceedings book - under an ISBN reference and on digital support - and submitted for indexation by SCOPUS, Google Scholar, DBLP, Semantic Scholar, EI and Web of Science / Conference Proceedings Citation Index.
SCITEPRESS is a member of CrossRef (http://www.crossref.org/) and every paper is given a DOI (Digital Object Identifier).
All papers presented at the conference venue will be available at the SCITEPRESS Digital Library

SECRETARIAT CONTACTS

CSEDU Special Sessions - AIG 2024
e-mail: csedu.secretariat@insticc.org
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