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Contribution to Book
Log-file data as indicators for problem-solving processes
'The nature of problem solving : using research to inspire 21st century learning (2017)
  • Nathan Zoanetti, Victorian Curriculum and Assessment Authority
  • Nathan Griffin, University of Melbourne
Abstract
This chapter describes a theoretical rationale and an empirical methodology for analysing log-file data recorded from students' interactions with computer-based problem-solving assessment tasks. These analyses can play an important role in the development and refinement of rules for automatically scoring complicated sequences of process data which describe procedural aspects of problem solving. It presents examples of log files and analyses from an interactive problem-solving task. In complex domains where a variety of skills and dispositions may influence performance, interpreting log-file data to infer how students solve problems could provide valid information to help meet their instructional needs. [Author abstract]
Keywords
  • Cognitive skills,
  • Computer assisted testing,
  • Data analysis,
  • Data interpretation,
  • Generic skills,
  • Interactivity,
  • Online assessment,
  • Online systems,
  • Problem solving,
  • Student assessment Primary secondary education
Publication Date
2017
Editor
Beno Csapo, Joachim Funke
Publisher
OECD
ISBN
9789264273894
DOI
http://dx.doi.org/10.1787/9789264273955-en
Citation Information
Nathan Zoanetti and Nathan Griffin. "Log-file data as indicators for problem-solving processes" Paris'The nature of problem solving : using research to inspire 21st century learning (2017) p. 177 - 191
Available at: http://works.bepress.com/nathan-zoanetti/3/