Questionnaire Visualization

It:s that time of year again. We got the results for the Faculty Development questionnaires handed out to students in our classrooms. I haven't been programming much, but I think reading the Pollen docs, aoc-racket, and some of the scribble documentation code is helping re-write scripts for readability. During the “make-it-work” stage I get so busy reading documentation and on-line pages (stackoverflow always seems to have a discussion that helps). The re-discovery of Perl Best Practices and a quick reading of the chapter about naming variables is helping too: the general idea of naming variables so that they structure reads smoothly when you use them later.

If I can figure out how to give each plot-pict a name, I'll be able to use pin-over and rt-find to annotate questions. For now only the title text is named. With the title pict named inset let me place the response table without relying on coordinates discovered from a bitmap in GIMP.

The code and data are below.

大学のFDアンケート結果を視覚化したら、「教員実施」関連の質問で低く見えるのは 「教員の板書（またはPPT・配布資料など）は読みやすかった（見やすかった）」

「板書」と「PPT」と 「配布資料」はそろぞれ実施と評価が違う可能性があるのでもっと詳しく調べる価値があるかもしれない。 プレゼンや配布資料が課題のなら、情報デザインの能力開発を目指すばいいかもしれない。

データ表から意味を取るのが難しいようですが、アンケート結果の視覚化するのが能力開発に繋げることができる。基礎プログラミングとデータ視覚化の授業を作ってから、いろいろな学生(または先生)が自らアンケートを作成と実施、分析できるようになるかもしれない。FDも参加型、 “Nothing About Us Without Us”の理念を行かして 大学の「民衆化」(fn:1) の時代に相応しい動きになります。

DrRacketで視覚化を試してみたい方がいるのなら、下にコードが貼ってある。

The code needs editing, but I like this view of questionnaire data where “factor” responses of 1 and 2 are negative, 3 is seemingly neutral, and 4 and 5 are positive. It seems possible to see things with this view that might not be possible with an average/mean of the responses.

The visualization needs to be on a page with the full text for the questions, the symbols for the numbered responses, the tables for the data, and an attempt to explain the visualization.