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Big Data with small cases: A method for discovering students centered contexts for Physics courses
ARTICLE

Themes in Science and Technology Education Volume 8, Number 2, ISSN 1792-8788 Publisher: Themes in Science and Technology Education

Abstract

This article proposes a methodology that could assist teachers in understanding their students’ primary needs or interests to decide on the kind of examples or contexts to be used in the classroom. The methodology was tested on 100 volunteers from university (N=50) and high school (N=50) in Ankara, Turkey. The participants were asked to write down the first word they thought of when they were presented with a single letter from the Turkish alphabet, which contains 29 letters. Then all the collected words (29x100=2900) were analyzed with the online word cloud creator, Wordle. According to results, the most cited words from the high-school classes were similar to each other, while the data from university participants showed more diversity. The most chosen word by the participants may give some clues in relation to the context that the teacher can utilize in planning a course. This study shows how to use a big-data-visualization-tool-based methodology to analyze the data gleaned from the participants’ life-long experiences.

Citation

Bülbül, M. (2016). Big Data with small cases: A method for discovering students centered contexts for Physics courses. Themes in Science and Technology Education, 8(2), 105-114. Retrieved April 25, 2019 from .

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