Workshop Feedback Survey - Information Page

About NDSA: The National Data Science Alliance (NDSA) invited faculty and staff from Historically Black Colleges and Universities (HBCUs) to participate in interactive data science workshops. Topics were chosen to upskill and expand knowledge in various areas of data science, coding, data manipulation, machine learning, AI, analytics, curriculum development, and pedagogy. We offered a variety of workshops and diverse schedules aimed at providing opportunities to engage in data science across HBCU institutions and disciplines.

Purpose: Please reflect on the workshop and let us know what worked and what needs improvement. Your input is valuable to us as we plan future workshops. Your feedback is important to us!

Timeline: For each workshop you attend, please submit your feedback by COB within 3 weeks after the workshop, if not sooner. We cannot process stipends until this is complete.

Deliverables: Those who accept the participation in the workshop agree to:
  • Attend all days and sessions.
  • Be ready to engage, focus on the task at hand, and not
  • participate in other activities during the workshop.
  • Complete a 2-page reflection report on how the information learned can be used in an upcoming course or research project, due upon completion of the workshop.
  • Participate in pre- and post-surveys.

Reflection Report: Please download the 1-page Reflection Report instructions HERE. The Reflection Report provides you an opportunity to reflect on the workshop and how it will enhance your teaching and/or research. Note that your report is to have five sections in a 2-page PDF document.

Header: In the header of the Reflection Report, please include your full name, discipline, AUC institution, date of workshop, and workshop title.

Sections: The Reflection Report should address each of the following items, and each item should be a section in the Reflection Report:
  1. Skills or abilities I gained or enhanced by taking this workshop, either in data science or otherwise
  2. Challenges I encountered in this workshop and strategies I utilized to overcome these challenges
  3. How I plan to develop or enhance a course or research project based on what I learned in the workshop (be as specific as possible)
  4. How what I learned in this workshop will help me achieve my goals as they relate to teaching and/or research
  5. How what I learned in this workshop can help me advance in my career trajectory
Informed Consent: By filling out this survey, you give consent to participate in a research study about the NSF funded National Data Science Alliance and approved by Clark Atlanta University (#HR2023-11-1238-1/A). The survey should take about 45 minutes to an hour of your time. There are no foreseeable risks or benefits to you for participating in this study. This research will inform the impact of this program on your data science pursuits and provide recommendations for improvements.

Your responces will remain anonymous and your answers will be kept confidential. We will not be using your name or any other identifying information in the study. The only people who will have access to your data are the NDSA research team members.

If at any point you have any questions about this study or and your participation in this study, please do not hesitate to reach out to Dr. Talitha Washington (email: twashington@cau.edu).

Thank you very much for your participation and we are looking forward to receiving your feedback!
This material is based upon work supported by the National Science Foundation under Grant No. 2217346. Any opinions, findings, conclusions, or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

If you have questions, please contact:
Dr. Talitha Washington
National Data Science Alliance, Director
twashington@ndsalliance.org
Participant Information: If you attended multiple workshops, please fill out a different survey for each workshop.

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* 1. Contact Information

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* 2. Please provide the title of the workshop you attended.

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* 3. Please identify the host of the workshop.

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* 4. What is your HBCU institution?

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* 5. Choose the area that best matches your primary expertise or area of study.

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* 6. What was your reason for participating in this workshop? Check all that apply.

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* 7. Please rate how you agree or disagree with the following statements:

  Strongly Agree Agree Disagree Strongly Disagree
The pre-workshop communications gave me the information I needed to prepare for the workshop.
The materials provided were useful.
The design of the workshop facilitated an exchange of expertise among participants and workshop facilitators.
The workshop sessions were well facilitated.
The workshop’s content was useful and of an appropriate amount.
The logistics for the workshop were well executed.
I would recommend this workshop to other faculty, staff, or graduate students. 
I will be able to use the skills learned in this workshop.
I am able to connect the topics covered in this workshop to my discipline.

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* 8. The pace of this workshop was:

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* 9. The workshop significantly influenced my familiarity with the following data science-related tasks. (Please choose "N/A" if this was not relevant to the workshop.)

  Strongly Agree Agree Disagree Strongly Disagree N/A
Analyze data to draw inferences and make predictions
Use programming software to analyze data
Create visual representations of data
Acquire and process data from various sources
Understand data ethics and identify bias in data analysis
Apply data to real-world problems, including the African diaspora
Communicate findings and reasonings used to analyze data

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* 10. How likely are you to use the skills you learned in this workshop:

  Very likely Likely Somewhat likely Not likely
In your research?
In your teaching?

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* 11. How satisfied were you with the workshop?

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* 12. What aspects of the workshop were most valuable for you and why?

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* 13. What aspects of the workshop could have been improved?

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* 14. Please share specific topics for future data science workshops:

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* 15. Please suggest the best times of year (weeks) that would fit your schedule for another workshop of this length. Example: January 3-15th

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* 16. Please share any further comments or suggestions you might have in the box below:

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* 17. Instructions for the Reflection Report can be found HERE
Please complete a reflection report for each workshop you attended and follow the instructions (and have the 5 sections plus the header).

PDF file types only.
Choose File

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* 18. You may publicly share my reflection report or parts of my reflection report.

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* 19. Stay connected with the NDSA!

This material is based upon work supported by the National Science Foundation under Grant No. 2217346. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

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