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2015•Unpublished venueRequires access

DISCUSSION OF VISUAL ATTENTION FOR SOLVING MULTIPLE CHOICE SCIENCE PROBLEM: AN EYE-TRACKING ANALYSIS

Mirosława Sajka, Roman Rosiek

Open publisher page 1 citations

Abstract

Eye-tracking technology was used to analyze the participants’ visual attention while solving a multiple-choice science problem. The research encompassed 103 people of varying levels of knowledge, from pupils to scientists. The respondents in general devoted more time to analyze the chosen fields. However, the trend is reversed for people with high scientific expertise and criticism and with extreme motivation to solve a problem. The trend depends also on the strategies of solving a problem and conviction about the correctness of the answer. Key words: eye-tracking, mathematics and physics education, problem solving, new technology in didactics of science.

About this research paper

What this paper is about

Eye-tracking technology was used to analyze the participants’ visual attention while solving a multiple-choice science problem. The research encompassed 103 people of varying levels of knowledge, from pupils to scientists. The respondents in general devoted more time to analyze the chosen fields. However, the trend is reversed for people with high scientific expertise and criticism and with extreme motivation to solve a problem. The trend depends also on the strategies of solving a problem and conviction about the correctness of the answer. Key words: eye-tracking, mathematics and physics education, problem solving, new technology in didactics of science.

Why it matters

OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

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Method / approach

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Main findings

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Limitations

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Applications

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Available abstract

Eye-tracking technology was used to analyze the participants’ visual attention while solving a multiple-choice science problem. The research encompassed 103 people of varying levels of knowledge, from pupils to scientists. The respondents in general devoted more time to analyze the chosen fields. However, the trend is reversed for people with high scientific expertise and criticism and with extreme motivation to solve a problem. The trend depends also on the strategies of solving a problem and conviction about the correctness of the answer. Key words: eye-tracking, mathematics and physics education, problem solving, new technology in didactics of science.

Key concepts: Correctness, Eye tracking, Conviction, Computer science, Tracking (education), Key (lock), Mathematics education, Criticism

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