Learning Domain: Operations and Algebraic Thinking
Standard: Add and subtract within 20, demonstrating fluency for addition and subtraction within 10. Use strategies such as counting on; making ten (e.g., 8 + 6 = 8 + 2 + 4 = 10 + 4 = 14); decomposing a number leading to a ten (e.g., 13 - 4 = 13 - 3 - 1 = 10 - 1 = 9); using the relationship between addition and subtraction (e.g., knowing that 8 + 4 = 12, one knows 12 - 8 = 4); and creating equivalent but easier or known sums (e.g., adding 6 + 7 by creating the known equivalent 6 + 6 + 1 = 12 + 1 = 13).
Degree of Alignment:
Not Rated
(0 users)
Learning Domain: Statistics and Probability
Standard: Understand that a set of data collected to answer a statistical question has a distribution which can be described by its center, spread, and overall shape.
Degree of Alignment:
Not Rated
(0 users)
Learning Domain: Statistics and Probability
Standard: Approximate the probability of a chance event by collecting data on the chance process that produces it and observing its long-run relative frequency, and predict the approximate relative frequency given the probability. For example, when rolling a number cube 600 times, predict that a 3 or 6 would be rolled roughly 200 times, but probably not exactly 200 times.
Degree of Alignment:
Not Rated
(0 users)
Cluster: Add and subtract within 21
Standard: Add and subtract within 20, demonstrating fluency for addition and subtraction within 10. Use strategies such as counting on; making ten (e.g., 8 + 6 = 8 + 2 + 4 = 10 + 4 = 14); decomposing a number leading to a ten (e.g., 13 – 4 = 13 – 3 – 1 = 10 – 1 = 9); using the relationship between addition and subtraction (e.g., knowing that 8 + 4 = 12, one knows 12 – 8 = 4); and creating equivalent but easier or known sums (e.g., adding 6 + 7 by creating the known equivalent 6 + 6 + 1 = 12 + 1 = 13).
Degree of Alignment:
1 Limited
(4 users)
Cluster: Develop understanding of statistical variability
Standard: Understand that a set of data collected to answer a statistical question has a distribution which can be described by its center, spread, and overall shape.
Degree of Alignment:
0.3 Very Weak
(4 users)
Cluster: Investigate chance processes and develop, use, and evaluate probability models
Standard: Approximate the probability of a chance event by collecting data on the chance process that produces it and observing its long-run relative frequency, and predict the approximate relative frequency given the probability. For example, when rolling a number cube 600 times, predict that a 3 or 6 would be rolled roughly 200 times, but probably not exactly 200 times.
Degree of Alignment:
0.3 Very Weak
(4 users)
on Mar 27, 02:58am Evaluation
Quality of Instructional and Practice Exercises: Limited (1)
This object would score 3 IF answer keys were included consistently in the games. Students do not have a way to check if they are practicing with accuracy.