Preliminary Questionnaire - MTDS
Dear students in the Methods of Teaching Data Science course,

The course you are about to study will focus on data science and on methods of teaching data science.
This is the first course of its kind in the world.

In light of the diverse population of students in the course, it is important that we learn about your background in order to design the course accordingly.  

Please complete the questionnaire until 17 March, 2022.

Regards,
Prof. Orit Hazzan
Dr. Koby Mike
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In order to advance research on the innovative topic of data science education, we wish to gather data, throughout the course, on the teaching and learning processes that take place in the course. Please check one of the following options: *
Name *
Degree *
Your undergraduate field of study
Your Master's degree field of study (if relevant)
Your doctoral field of study (if relevant)
Gender *
Do you currently teach? *
If yes, please specify what subject, what grades, what school, how many years.
Please indicate the main reasons you are participating in the course (you may indicate more than one reason) *
Required
Do you apply (or have you in the past applied) any data science tools or applications? *
If you answered positively to the previous question, please elaborate on your answer: which tool/application? for what purpose? and any other additional detail you choose.
What would you like to be able to do at the end of the course that you do not already know how to do?
What are the three most significant challenges for you in the course?
For each of the following topics, please rate (on a scale from 1-not interest to 5-very interested) how interested you are in learning it in the course *
1
2
3
4
5
Methods of teaching data science
Data analysis
Machine learning
Programming in Python
Data visualization
Text analysis
Please list at least three topics you would like to learn in the course.
Are you interested in data analysis for the purpose of a specific study? Please elaborate.
In your opinion, what are the five most important principles in data science?
For each of the following topics, please rank your knowledge of the topic, on a scale from 1 (I have no idea what it is) to 5 (I can teach the topic). *
1
2
3
4
5
Teaching methods
Computer science teaching methods
Some programming language
Python
Machine learning
Statistical deduction (statistical tests)
Linear regression
Internet technologies (e.g. HTML, Java Script)
If you have programmed in the past, please list the programming languages:
Please list five concepts that are, in your opinion, related to data science.
Please list five concepts that are, in your opinion, related to data science education.
To what extent do you agree with the following statements? *
I very much agree
I agree
I somewhat agree
I slightly agree
I strongly disagree
Data science and computer science are two separate sciences
Data science include computer science
Computer science include data science
Data science and computer science are overlapping domains
Data science are based on computer science
Computer science are based on data science
To what extent do you agree with the following statements? *
I very much agree
I agree
I somewhat agree
I slightly agree
I strongly disagree
Data science and statistics are two separate sciences
Data science includes the science of statistics
Statistics include data science
Data science and statistics are overlapping domains
Data science are based on statistics
Please explain the extent of  your agreement with the above statements.
We will be delighted if you share with us any thoughts / ideas / requests you have regarding the course.
Thank you very much for completing the questionnaire, and good luck in the course!
Please do not forget to click "submit".
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