Data Analysis and Giving Feedback

UF Faculty: Megan Mocko Department: Information Systems and Operations Management College: Warrington College of Business	Partner Faculty: Wanchunzi Yu Department: Department of Mathematics Partner Institution: Bridgewater State University	Partner Faculty: Lee Fawcett Department: School of Mathematics, Statistics & Physics Partner Institution: Newcastle University
Partner Faculty: María de Lourdes Gómez Calvo Department: Digital Education Partner Institution: Tecnológico de Monterrey	Partner Faculty: Pedro Nájera García Department: Digital Education Partner Institution: Tecnológico de Monterrey	Partner Faculty: Ricardo Andrés López Celi Department: Math department Partner Institution: Universidad San Francisco de Quito
Partner Faculty: Kenya Velasco Tapia Department: Industrial Engineering Partner Institution: Universidad San Francisco de Quito	Partner Faculty: Carmen Moret Tatay Department: Departamento de Psicología de la Personalidad, Tratamientos y Metodología Partner Institution: Universidad Catolica de Valencia San Vincente Martir	Partner Faculty: Catalina Patricia Morales Murillo Department: Departamento de Psicología de la Personalidad, Tratamientos y Metodología Partner Institution: Universidad Catolica de Valencia San Vincente Martir

Project details
Title:	Conducting Data Analyses and Giving Feedback Across National Boundaries
Project Description:	The project focuses on learning about feedback, and conducting/presenting a statistical analysis. Students first discuss feedback preferences, conduct a statistical analysis, present an analysis, give feedback to each other on the analysis and then update their analysis.
Learning Outcomes:	These activities are designed to meet the following three objectives. AAC&U identified these objectives as essential objectives for global learning and intercultural competence. These ideas are essential for business in the international workplace. Objective 1 (Knowledge) -Perspective Taking: Address significant issues in the natural and human world based on articulating one’s identity in a global context. Objective 2 (Skills) – Empathy: Interpret intercultural experience from the perspectives of their own and more than one worldview and demonstrate the ability to act in a supportive manner that recognizes the feelings of another cultural group. Objective 3 (Attitudes) – Openness: Initiate and develop interactions with culturally different others. Suspends judgment in valuing her/his interactions with culturally different others.
Participating Countries:	United Kingdom, Mexico, Ecuador, Spain.
Number of Participants:	697 UF students, 199 Tecnológico de Monterrey students, 110 Universidad San Francisco de Quito students, 67 Newcastle University students, 5 Universidad Catolica de Valencia San Vincente Martir students
Discipline:	Statistics and Data Science
UF Course Code & Name:	QMB3250 - Statistics for Business Decisions
Project Duration:	4 Weeks
Activity Type(s):	Student-to-Student Dialogue
Time allotted to each activity:	Synchronous Activities: 1 hour optional during one week Asynchronous Activities: 1-2 hours per week
Technology Tools:	Google Sites VoiceThread
Sequence of Activities:	Icebreaker Activity: Students create a video to answer the following questions. Please introduce yourself with one image of your choice and talk about an extreme climate event you've experienced or know about (drought, hurricane, floods, etc). How do you like to receive feedback? What types of feedback have you given to others? How does your culture influence the type of feedback that you give or like to receive? If you don’t think that our culture influences your feedback, please explain. Students then comment on at least 3 points and discuss feedback and write a short 100 word reflection on what they learned about feedback. Engagement Activity: Conduct a data analysis based on the statement given to you by your instructor, and then create a video to explain your findings. The general steps to the data analysis are below. Each step below needs to appear in the draft video. Describe the problem. State research question. State the variables of interest. Data Collection and Preparation Where did the data come from? What was done to clean or process the data? (if any) Explore the data. Show Descriptive Statistics (For example: Mean, Medians, Standard Deviations.) Show Visualizations. (For example: show histograms/boxplots..) Data analysis. Check with your institution for specific instructions. Interpreting and reporting your findings Conclude your findings. What are future questions that you have? Collaboration Activity: Give feedback for three other students' analyses. You can find the draft videos at the VoiceThread provided below. The feedback must be 150 words each, so 450 words total. The feedback must include two things: Comment on something your colleague did well and explain why. Comment on something your colleague could improve and explain why. Do not fix the problem for the student. The advice must be actionable. Reflection Activity: After receiving feedback, the final report will be the corrected version of the data analysis. This report will be graded on correctness. It should include all steps: Question, Data, Descriptive Statistics, Analysis, and Conclusions. Reflection on feedback (written, not in the recording) How has your knowledge of communicating about data changed during this assignment? What strategies make data more persuasive or impactful in a presentation? What design choices (colors, labels, scales) help or hinder understanding of a data visualization? Did you apply any of these strategies in your own presentation? Reflection on what you changed in your presentation (written, not in the recording) Reflection on what you changed or did not change in your presentation and explain why.