Measuring Difficulty of Introductory Programming Tasks

Varování

Publikace nespadá pod Fakultu sportovních studií, ale pod Fakultu informatiky. Oficiální stránka publikace je na webu muni.cz.

Autoři	EFFENBERGER Tomáš ČECHÁK Jaroslav PELÁNEK Radek
Rok publikování	2019
Druh	Článek ve sborníku
Konference	Proceedings of the Sixth (2019) ACM Conference on Learning @ Scale (L@S '19)
Fakulta / Pracoviště MU	Fakulta informatiky
Citace
Doi	http://dx.doi.org/10.1145/3330430.3333641
Klíčová slova	problem difficulty; problem complexity; data collection bias; introductory programming; intelligent tutoring system
Popis	Quantification of the difficulty of problem solving tasks has many applications in the development of adaptive learning systems, e.g., task sequencing, student modeling, and insight for content authors. There are, however, many potential conceptualizations and measures of problem difficulty and the computation of difficulty measures is influenced by biases in data collection. In this work, we explore difficulty measures for introductory programming tasks. The results provide insight into non-trivial behavior of even simple difficulty measures.
Související projekty:	Rozsáhlé výpočetní systémy: modely, aplikace a verifikace VIII.