Eye-Tracking Verification of the Strategy Used to Analyse Algorithms Expressed in a Flowchart and Pseudocode

Autor/inn/en	Andrzejewska, Magdalena; Stolinska, Anna; Blasiak, Wladyslaw; Peczkowski, Pawel; Rosiek, Roman; Rozek, Bozena; Sajka, Miroslawa; Wcislo, Dariusz
Titel	Eye-Tracking Verification of the Strategy Used to Analyse Algorithms Expressed in a Flowchart and Pseudocode
Quelle	In: Interactive Learning Environments, 24 (2016) 8, S.1981-1995 (15 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1049-4820
DOI	10.1080/10494820.2015.1073746
Schlagwörter	Qualitative Research; Statistical Analysis; Mathematics; Eye Movements; Problem Solving; Video Technology; Hypothesis Testing; Programming; Attention; Flow Charts; High School Students; College Students; Visual Stimuli + Suchen Sie Ihr Suchwort? Qualitative Forschung; Statistische Analyse; Mathematik; Augenbewegung; Problemlösen; Hypothesenprüfung; Hypothesentest; Programmierung; Aufmerksamkeit; High school; High schools; Student; Students; Oberschule; Schüler; Schülerin; Studentin; Collegestudent
Abstract	The results of qualitative and quantitative investigations conducted with individuals who learned algorithms in school are presented in this article. In these investigations, eye-tracking technology was used to follow the process of solving algorithmic problems. The algorithmic problems were presented in two comparable variants: in a pseudocode and flowchart. The eye-tracking data resulted in both qualitative (films registering the gaze paths) and quantitative measures, which allowed the detection and interpretation of the differences in the task-solving strategies between those who found the correct answer and those that did not. The results confirmed a hypothesis that use of the formal notation characteristic of a programming language for presenting algorithms is often a practical difficulty in the process of solving even simple tasks. This study opens a new direction of research; they show that eye-tracking technology can be used to optimise the educational process of learning programming. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01