This page contains additional information about the paper:
Michael Lodi. 2019. Does Studying CS Automatically Foster a Growth Mindset?.
In Innovation and Technology in Computer Science Education (ITiCSE ’19), July 15–17, 2019, Aberdeen, Scotland, UK.
ACM, New York, NY, USA, 7 pages.
https://doi.org/10.1145/3304221.3319750
In the paper, a study about Computer Science and Growth Mindset is described. Here is reported the English translation of the questionnaires used (that are in Italian).
Meta-comments are in italics/square brackets, not part of the text of the questionnaire.
The pre and post questionnaires for CS and non-CS classes have a very similar structure. Differences are highlighted.
Question marked with * are reverse scored so that a low score always indicates a less desirable belief (e.g. fixed mindset), and a high score a more desirable belief (e.g. growth mindset).
Questions were presented in random order within each section.
[These questions are based on (Dweck, 2003), an italian translation of the original (Dweck, 2000).]
Rate from 1 (totally disagree) to 6 (totally agree).
Choose the most true between two sentences, then show how true is it for you, from 1 (sort of true for me) to 6 (very true for me).
[Scores were re-scaled from 12 (very true, high confidence) to 1 (sort of true, low confidence)]
Rate from 1 (totally disagree) to 6 (totally agree).
Choose between Good grade (1) / Being challenged (6).
[These scales were adapted from (Sun, 2015), a thesis about Mathematical Mindsets, changing the word “Math” with “Computer Science”.]
Rate from 1 (totally disagree) to 6 (totally agree).
Rate from 1 (totally disagree) to 6 (totally agree).
[For non-CS oriented classes, “is” and “will be” were changed in “would be”.]
Rate from 1 (not at all important) to 5 (extremely important).
[For non-CS oriented classes, second and fourth question was rephrased starting with “If you studied CS, …”.]
In class INF1, halfway through the year, we performed a mindset intervention. At the end of the lesson, students were asked to reflect on struggle and answer the following open-ended questions.
Reflect on a situation when you struggled to learn something. It could be anything – learning a new math concept, or a new technique in soccer, or staring at the blank page during the writing of an essay. A situation where you failed at first but
through perservering, hard work, others help and using different strategies, you succeeded or you became better at the task at hand. How do you felt? How did you overcome that situation and what did you learn from it? [Adapted from (Khan Academy and PERTS, 2014)]
Write a letter to a future student of your class about this struggle. In at least five sentences, tell this student your story and give him advice on what he should do next time he encounters an obstacle when learning something new. Feel free to be as creative as you would like, but try to write a useful letter. [Adapted from (Khan Academy and PERTS, 2014)]
Feel completely free to express what you think would be the best for yourself, and explain why.
From September 2017, or perhaps from before, you started to program. Maybe it was very easy for you, or on the contrary, you encountered many difficulties. Computer errors happen all the time, and even the most experienced programmers spend a lot of time debugging, that is, hunting for errors. Write in at least five sentences some tips that you would give to a classmate who has to start learning to program, recommending him concrete strategies to succeed and not to be discouraged in the face of difficulties related to learning programming. [Inspired by the intervention in (Simon et al., 2008)]
Carol Dweck. 2000. Self-theories: Their role in motivation, personality, and development. Psychology Press.
Carol Dweck. 2003. Teorie del Sé. Intelligenza, motivazione, personalità e sviluppo. Erickson.
Khan Academy and PERTS. 2014. Growth Mindset Lesson Plan. Retrieved January 20, 2019 from https://cdn.kastatic.org/KA-share/Toolkit-photos/FINAL+Growth+Mindset+Lesson+Plan.pdf
Beth Simon, Brian Hanks, Laurie Murphy, Sue Fitzgerald, Renée McCauley, Lynda Thomas, and Carol Zander. 2008. Saying isn’t necessarily believing. Proceeding of the fourth international workshop on Computing education research – ICER ’08.
Katherine Liu Sun. 2015. There’s no limit: mathematics teaching for a growth mindset. Ph.D. Dissertation. Graduate School of Education, Stanford University. https://purl.stanford.edu/xf479cc2194