Publication details

Complexity and Difficulty of Items in Learning Systems

Authors

PELÁNEK Radek EFFENBERGER Tomáš ČECHÁK Jaroslav

Year of publication 2021
Type Article in Periodical
Magazine / Source International Journal of Artificial Intelligence in Education
MU Faculty or unit

Faculty of Informatics

Citation
Web https://doi.org/10.1007/s40593-021-00252-4
Doi http://dx.doi.org/10.1007/s40593-021-00252-4
Keywords adaptive learning; student modeling; difficulty; complexity
Description Complexity and difficulty are two closely related but distinct concepts. These concepts are important in the development of intelligent learning systems, e.g., for sequencing items, student modeling, or content management. We show how to use complexity and difficulty measures in the development of learning systems and provide guidance on how to think, reason, and communicate about these notions. To do so, we propose a pragmatic distinction between difficulty and complexity measures. At the same time, we acknowledge the limitations of any simple distinction and discuss several potentially confounding issues: context, biases, and scaffoldings. We also provide an overview of specific measures and their applications in several educational domains and a detailed analysis of measures for problems in introductory programming.
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