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Special Session
Special Session on
Automatic Item Generation
 - AIG 2027

16 - 18 April, 2027 - Rome, Italy

Within the 19th International Conference on Computer Supported Education - CSEDU 2027


CO-CHAIRS

Gregor Damnik
Center for Teacher Education and Educational Research, TU Dresden
Germany

 
Short Bio
Gregor Damnik is currently working at the Center for Teacher Education and Educational Research, 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.
Paul Christ
FernUniversität Hagen
Germany

 
Iris Braun
Dresden Technical University
Germany

 
Short Bio
Dr. Iris Braun has been working at the Chair of Computer Networks at Dresden University of Technology since 1997 and is involved in numerous national and international research projects. She is the team leader for the research areas “Service and Cloud Computing” and “Technology-Enhanced Learning” at the Chair of Distributed and Networked Systems. As part of a collaboration with the Chair of Psychology of Teaching and Learning at TU Dresden, the Audience Response System AMCS was developed under her leadership beginning in 2014 and has been used in many courses at TU Dresden. Since 2019, she has been conducting research together with Gregor Damnik and others on the development of a graphical editor for Automatic Item Generation (AIG).

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: February 16, 2027
Authors Notification: March 2, 2027
Camera Ready and Registration: March 10, 2027

SPECIAL SESSION PROGRAM COMMITTEE

Available soon.

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 2027
e-mail: csedu.secretariat@insticc.org
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