(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.
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Can describe a real-world example of data-driven decision-making in education.
Has an interest in machine learning applications in education.
Has applied data analytics to improve teaching strategies.
Has applied data analytics in an educational research paper.
Has experience with educational data management systems.
Can demonstrate a basic data visualization using any tool.
Can explain the concept of data visualization.
Has used Google Sheets for collaborative data projects.
Has an interest in data ethics and privacy.
Has used Microsoft Excel for data analysis.
Has knowledge of different types of data (qualitative, quantitative).
Has worked with data related to student engagement.
Can discuss the role of predictive modeling in education.
Has used data to identify patterns in student behavior.
Can explain the importance of data quality in analytics.
Has used data to evaluate student performance.
Has participated in a data analytics workshop or training.
Has collaborated on a team project involving data analysis.
Has knowledge of basic statistical concepts (mean, median, etc.).
Has created a data dashboard for educational purposes.
Has attended a data analytics conference or webinar.
Can discuss challenges and opportunities in educational data analytics.
Has contributed to a research project involving data analysis.
