**************** With apologies for multiple postings ****************
DEADLINE EXTENDED TO 15th June, 2004
CALL FOR SUBMISSIONS
Special edition of ACM's JERIC - Automated Assessment of Programming Assignments
http://www.acm.org/pubs/jeric/authors.htm
Guest Editors: Colin Higgins (University of Nottingham, UK),
Peter Brusilovsky (University of Pittsburgh, USA)
http://www.acm.org/pubs/jeric/
New Deadline: 15 June 2004
You are invited to submit research papers for a special edition of the JERIC journal on automated
and semi-automated assessment of student programs and program design. JERIC is a specialist journal
and expects contributions to describe practical reusable systems for computer and information
science education.
For the past twenty years educators have reported on the practical and pedagogic benefits of using
automated assessment tools to assess student coursework in programming.
The purpose of this special issue of JERIC is to expose the cutting edge of research in automated
assessment of student programs and other kinds of programming assignments to the wider audience of
this Journal. The special issue is devoted to both fully automated assessment as well as partial
student program assessment by machine.
Topics should be explicitly related to the practical and reusable aspects of automated assessment of
student programs and program design. Subjects include but are not limited to:
Free (Non-Objective) Response Automatic Assessment of Programming Languages
Fixed (Objective) Response Automatic Assessment of Programming Languages
Automated Assessment of Program Design
Automated Assessment of Graphical User Interfaces / Web Content
Automated Assessment of Graphical Programs (Diagrams and Visual Languages)
Grading the Student Mental Execution of Randomly Generated Programs
Metrics and Heuristics for Measuring Program Quality
Experiences Using Automated Assessment for Programming
Review and Evaluation of Automated Assessment Systems for Programming
Feedback Mechanisms and Techniques for Automated Systems
Adaptive Automated Assessment and Feedback
Assessment and Adaptive Generation of Learning Material
Generation of Automatic Assessment Content
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