Reference : Using Log-File Data to Uncover Strategy Use in Complex Problem Solving

	Document type :	Scientific congresses, symposiums and conference proceedings : Unpublished conference
	Discipline(s) :	Social & behavioral sciences, psychology : Education & instruction
	To cite this reference:	http://hdl.handle.net/10993/36852

Title :	Using Log-File Data to Uncover Strategy Use in Complex Problem Solving
Language :	English
Author, co-author :	Nicolay, Björn Fabrice [University of Luxembourg > Faculty of Language and Literature, Humanities, Arts and Education (FLSHASE) > Education, Culture, Cognition and Society (ECCS) >]
	Krieger, Florian [University of Luxembourg > Faculty of Language and Literature, Humanities, Arts and Education (FLSHASE) > Education, Culture, Cognition and Society (ECCS) >]
	Lagou, Charalampia [University of Luxembourg > Faculty of Language and Literature, Humanities, Arts and Education (FLSHASE) > Education, Culture, Cognition and Society (ECCS) >]
	Johnson, Ashley [University of Luxembourg > Faculty of Language and Literature, Humanities, Arts and Education (FLSHASE) > Education, Culture, Cognition and Society (ECCS) >]
	Greiff, Samuel [University of Luxembourg > Faculty of Language and Literature, Humanities, Arts and Education (FLSHASE) > Education, Culture, Cognition and Society (ECCS) >]
Publication date :	18-Sep-2018
Peer reviewed :	Yes
Event name :	51st Congress of the German Psychological Society (51. DGPs Kongress)
Event date :	from 17-09-2018 to 20-09-2018
Keywords :	[en] Educational Data Mining ; Complex Problem Solving ; Strategies
Abstract :	[en] The aim of the current project is to utilize log-file data to enhance the understanding of strategy use in Complex Problem Solving (CPS). CPS can be defined as the ability to manipulate the existing variables of a particular novel, complex, intransparent, and dynamic environment successfully in order to reach a predefined goal. In order to successfully solve a CPS task, the goal-directed application and variation of certain strategies is necessary. To uncover the systematic use of these strategies, log-files have been deemed a fruitful resource as they contain not only the final results of a computer-based CPS item, but also the individual steps undertaken while solving such a task. Recent studies using log-files have highlighted the importance of some strategies for CPS, like the varying one variable at a time (VOTAT) strategy, or of engaging in noninterfering observations (i.e., idle rounds). In addition, other strategies have also been shown to be relevant in neighboring fields of CPS. However, comprehensive studies investigating a broad repertoire of strategies applied in CPS are scarce. Hence, on the basis of existing large-scale assessment data sets, the present project set out to investigate which strategies hidden in log-files are relevant for solving a CPS task in order to gain a more thorough understanding of how CPS tasks are being approached. Preliminary findings indicate that, in addition to VOTAT and idle rounds, particularly the flexibility of switching between strategies should be taken into account.
Permalink :	http://hdl.handle.net/10993/36852
FnR project :	FnR ; FNR11331736 > Samuel Greiff > TRIOPS > The Training of Complex Problem Solving > 01/05/2017 > 30/04/2020 > 2016

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