Complexity and Difficulty of Items in Learning Systems

Autor/inn/en	Pelánek, Radek; Effenberger, Tomáš; Cechák, Jaroslav
Titel	Complexity and Difficulty of Items in Learning Systems
Quelle	In: International Journal of Artificial Intelligence in Education, 32 (2022) 1, S.196-232 (37 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Pelánek, Radek) ORCID (Effenberger, Tomáš) ORCID (Cechák, Jaroslav)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1560-4292
DOI	10.1007/s40593-021-00252-4
Schlagwörter	Difficulty Level; Intelligent Tutoring Systems; Measurement Techniques; Computer System Design + Suchen Sie Ihr Suchwort? Schwierigkeitsgrad; Intelligentes Tutorsystem; Messtechnik
Abstract	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. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01