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Cognitive strategies for solving graphically presented chemical tasks: A comparison of experts' and novices' perfomanceстатья Тезисы
Информация о цитировании статьи получена из
Web of Science
Статья опубликована в журнале из списка Web of Science и/или Scopus
Дата последнего поиска статьи во внешних источниках: 11 сентября 2018 г.
- Авторы: Ishmuratova Y., Blinnikova I.
- Журнал: Journal of eye movement research
- Том: 10
- Номер: 6
- Год издания: 2017
- Издательство: European Group for Eye Movement Research
- Местоположение издательства: Iffwil, Switzerland
- Первая страница: 309
- Последняя страница: 309
- DOI: 10.16910/jemr.10.6
- Аннотация: The purpose of our work was to identify differences in the way information is processed in visually presented graphical chemistry tasks in experts and novices. It was assumed that experts solve problems faster and make fewer errors, using fundamentally different cognitive strategies. Cognitive strategies were identified through the analysis of eye movement patterns. In total, 19 people took part in the experiment (7 of them were undergraduate chemistry students and 12 – specialists in chemistry). The study consisted of two stages. First, the subjects were asked to read a text describing a chemical process,then using information from the text they had to solve the problems in the form of graphs: Fill empty cells in the circuits; Indicate errors; Swap individual elements to maintain the correct structure of the chemical process. Perfomance time and eye movement characteristics were recorded with SMI iView X Hi-Speed equipment. Our hypotheses were confirmed. It was found that eye movements of the experts were characterized by longer fixation duration and shorter saccadic amplitude, which indicates deeper cognitive processing. Novices solve problems slower using less effective strategies, which is manifested in shorter fixations and high-amplitude saccades. Also the differences, when performing particular tasks,were figured out.This research is supported by the Russian Foundation of Basic Research; Grant №17-06-00652.
- Добавил в систему: Ишмуратова Юлия Алексеевна