(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.
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
Has used Microsoft Excel for data analysis.
Has contributed to a research project involving data analysis.
Has used data to evaluate student performance.
Has an interest in machine learning applications in education.
Can demonstrate a basic data visualization using any tool.
Can discuss the role of predictive modeling in education.
Has worked with data related to student engagement.
Has participated in a data analytics workshop or training.
Can explain the concept of data visualization.
Can explain the importance of data quality in analytics.
Has used Google Sheets for collaborative data projects.
Has applied data analytics in an educational research paper.
Can name three data analytics tools or software.
Has knowledge of basic statistical concepts (mean, median, etc.).
Has an interest in data ethics and privacy.
Has attended a data analytics conference or webinar.
Can describe a real-world example of data-driven decision-making in education.
Has used data to identify patterns in student behavior.
Has collaborated on a team project involving data analysis.
Has applied data analytics to improve teaching strategies.
Can discuss challenges and opportunities in educational data analytics.
Has experience with educational data management systems.
Has knowledge of different types of data (qualitative, quantitative).
Has created a data dashboard for educational purposes.
