Assignment Prompt & Instructions
– 2 years ago
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– ## Module12DiscussionDataAnalysisandProbabilityInstruction.docx
**## Module12DiscussionDataAnalysisandProbabilityInstruction.docx**
Module 12 Discussion: Data Analysis and Probability Instruction
**Module 12 Discussion: Data Analysis and Probability Instruction**
After reading Chapter 13 of our text, post an initial discussion and follow-up to at least two peers, responding to the following questions:
1. Give an example of data analysis and probability instruction you have seen or experienced in an early childhood classroom.
2. From your point of view why was it/not effective
3.
**Reference:**
4.
**Eliason, C., & Jenkins, L. (2016).**
**_A Practical Guide to Early Childhood Curriculum, (10ed_.). Pearso**
1.Response Classmate CV
During student teaching, I led a 3rd-grade bar graph lesson that incorporated data analysis in a hands-on and engaging way. Each student received a bag of colored chips containing a different mix of red, blue, green, and yellow. Students sorted their chips by color and used the data to create their bar graphs. Afterward, they completed an exit ticket using the bar graph that they created. Which consisted of comparison questions such as “How many more red chips than blue?” or “Which color has the least?” This helped students visually organize data while strengthening their reasoning and critical thinking skills.
The students enjoyed the interactive aspect of using real objects, and it gave them a concrete way to explore numbers, quantities, and differences. According to the text, “Young children are very interested in exploring and experimenting with numbers; thus, math should be concrete and manipulative.” (Eliason, C., & Jenkins, L., 2016). This lesson aligned well with that belief, as it offered a developmentally appropriate and engaging approach to early math.
Additionally, the activity supported key concepts within numbers and operations such as counting, comparing, grouping, and simple addition and subtraction, which are foundational in early childhood math (Eliason, C., & Jenkins, L., 2016). Providing these opportunities through hands-on learning helped foster early number knowledge in a meaningful and memorable way. Overall, I believe this was effective and met its learning objectives. It also allowed me to observe how students process information, represent data, and apply number sense in a real-world context.
Reference:
Eliason, C., & Jenkins, L. (2016). A practical guide to early childhood curriculum (10th ed.).
2.Calssmate Response A.D
I have observed a few different different examples of data analysis and probability in early childhood classrooms. In my classroom we graph the weather every day. We look outside, discuss the weather, and graph it on our weather chart. Then we discuss what weather happened the most and least so far in each week.
A more interactive data analysis and probability lesson I have seen in an early childhood classroom was having students sort out different colored blocks. Each table received a bin of blocks of all different colors. They had to work together to sort the different blocks by color. After the blocks were sorted, they had to each count the number of blocks in each group. They wrote the numbers down on a paper and then the class came back together to graph the number of groups. Each group had the same number of colored blocks and they made a bar graph along with the teacher. The discussions that followed included what color had the most amount of blocks and what color had the least amount of blocks.
I do think that this example that I observed was effective because it was interactive, collaborative, and hands- on. The teacher allowed them a chance to work as a group as well as to come back and talk as a class since graphing at such a young age can be overwhelming. The textbook states that, "Teachers must be intentional in finding ways to clearly teach data analysis" (Eliason & Jenkins, 2016 ). This is what the teacher that I observed did. She was intentional when she planned this lesson because she thought out the different challenges, took notes while walking around, and used this information to plan for future lessons on data analysis and probability instruction.
**## Module12DiscussionDataAnalysisandProbabilityInstruction.docx**
Module 12 Discussion: Data Analysis and Probability Instruction
**Module 12 Discussion: Data Analysis and Probability Instruction**
After reading Chapter 13 of our text, post an initial discussion and follow-up to at least two peers, responding to the following questions:
1. Give an example of data analysis and probability instruction you have seen or experienced in an early childhood classroom.
2. From your point of view why was it/not effective
3.
**Reference:**
4.
**Eliason, C., & Jenkins, L. (2016).**
**_A Practical Guide to Early Childhood Curriculum, (10ed_.). Pearso**
1.Response Classmate CV
During student teaching, I led a 3rd-grade bar graph lesson that incorporated data analysis in a hands-on and engaging way. Each student received a bag of colored chips containing a different mix of red, blue, green, and yellow. Students sorted their chips by color and used the data to create their bar graphs. Afterward, they completed an exit ticket using the bar graph that they created. Which consisted of comparison questions such as “How many more red chips than blue?” or “Which color has the least?” This helped students visually organize data while strengthening their reasoning and critical thinking skills.
The students enjoyed the interactive aspect of using real objects, and it gave them a concrete way to explore numbers, quantities, and differences. According to the text, “Young children are very interested in exploring and experimenting with numbers; thus, math should be concrete and manipulative.” (Eliason, C., & Jenkins, L., 2016). This lesson aligned well with that belief, as it offered a developmentally appropriate and engaging approach to early math.
Additionally, the activity supported key concepts within numbers and operations such as counting, comparing, grouping, and simple addition and subtraction, which are foundational in early childhood math (Eliason, C., & Jenkins, L., 2016). Providing these opportunities through hands-on learning helped foster early number knowledge in a meaningful and memorable way. Overall, I believe this was effective and met its learning objectives. It also allowed me to observe how students process information, represent data, and apply number sense in a real-world context.
Reference:
Eliason, C., & Jenkins, L. (2016). A practical guide to early childhood curriculum (10th ed.).
2.Calssmate Response A.D
I have observed a few different different examples of data analysis and probability in early childhood classrooms. In my classroom we graph the weather every day. We look outside, discuss the weather, and graph it on our weather chart. Then we discuss what weather happened the most and least so far in each week.
A more interactive data analysis and probability lesson I have seen in an early childhood classroom was having students sort out different colored blocks. Each table received a bin of blocks of all different colors. They had to work together to sort the different blocks by color. After the blocks were sorted, they had to each count the number of blocks in each group. They wrote the numbers down on a paper and then the class came back together to graph the number of groups. Each group had the same number of colored blocks and they made a bar graph along with the teacher. The discussions that followed included what color had the most amount of blocks and what color had the least amount of blocks.
I do think that this example that I observed was effective because it was interactive, collaborative, and hands- on. The teacher allowed them a chance to work as a group as well as to come back and talk as a class since graphing at such a young age can be overwhelming. The textbook states that, "Teachers must be intentional in finding ways to clearly teach data analysis" (Eliason & Jenkins, 2016 ). This is what the teacher that I observed did. She was intentional when she planned this lesson because she thought out the different challenges, took notes while walking around, and used this information to plan for future lessons on data analysis and probability instruction.