Difference between revisions of "Discussion Unit 3"

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<u>Go to</u>: [[ETAP 623 Spring 2020 (Zhang)]] | [[Brian Desrochers|Brian's Profile Page]] | [[Unit 3: Creating data intensive documents]]
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<u>Go to</u>: [[ETAP 623 Spring 2020 (Zhang)]] | [[Brian Desrochers|Brian's Profile Page]] | [[Unit 4: Data Intensive Lesson Plan]]
  
  
  
 
==Learning Objectives==
 
==Learning Objectives==
#Learners will be able to identify types of data intensive media
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#Learners will be able to explain the role of technology in science classes.
#Learners will identify strategies for teaching interpretation of data intensive media
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#Learners will explain the benefit of using technology to have students create data intensive documents.
#Explain the benefit of data using intensive media in the classroom
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#Explain how the knowledge to construct data intensive documents can be transferred to other areas of science, and other disciplines.
  
 
==Do Now==
 
==Do Now==
Think about your experience as a science teacher, or your future as a science teacher, and list the types of scientific documents you need students to understand. List the documents and provide a brief summary for how you go about helping students interpret them. Use the following discussion space to post your initial ideas:
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Think about the different ways you have students create data intensive media documents. Use the discussion space to identify how you usually have students create charts/tables, graphs, and diagrams. Then discuss how you utilize technology in the classroom, and predict how technology could support the creation of data intensive media. 
[[Talk: Discussion Unit 2]]
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[[Talk: Discussion Unit 3]]
  
After you have done this, watch the embedded video in the following link and see what strategies you use that were mentioned in the video.
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After you have done this, read the brief article, and watch the video, below on how the role of technology is expanding in education in general. Think about the creation of data intensive documents and how technology can support collaboration and student engagement around creation of these documents.  
  
http://www.mtscienceducation.org/toolkit-home/scientific-engineering-practices/analyzing-interpreting-data/
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https://www.weforum.org/agenda/2017/05/science-of-learning/
  
 +
https://tech.ed.gov/netp/teaching/ (You will have to scroll down the page until you see the video on the right. Feel free to read the page as well for further clarification
 
==Mini-Lecture==
 
==Mini-Lecture==
So why is it important to organize data? Without data intensive documents such as charts/tables, graphs, and diagrams, science would be a collection of numbers without order. Watch the following video on meta data, which incorporates questions you can ask your students when looking at data to help them understand it better. The video is embedded on the right side of the page. https://guides.library.pdx.edu/data/metadata
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As educators, we all probably use technology in some form or another to disseminate information and support student engagement. Science is an inquiry process where it is important to allow students to explore concepts and ideas for themselves, test these ideas, and form conclusions based on their experiments. Read the following article by Kim Minchi which outlines some of the reasons technology is crucial for science education:  
  
Supporting Scientific Text:
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https://onlinelibrary.wiley.com/doi/pdf/10.1002/sce.20219
Read the following article about teaching interpretation skills for science documents:
 
 
https://www.edutopia.org/article/supporting-literacy-science-classroom
 
  
Interpreting charts/tables
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Now that we have an understanding of the role technology can play in engaging and supporting learning in science classrooms we will look at specific ways we can help our students use technology to make data intensive documents. One platform that educators and students may both be familiar with is Google. Using Google sheets and Excel is a way that we can engage students in platforms that they are familiar with, and utilize relevant technology. As the article and the video on the Do Now section stated, as many as 65% of our students may have jobs that do not even exist yet today. This makes it all the more important to teach students 21st century skills by utilizing technology. Take a look at the following PDFs which walk you through the steps of making data intensive documents utilizing Google Sheets and Excel. While the examples show large amounts of data in each document, these tools can still be used for data collected by students during inquiry investigations.
  
Throughout my years of teaching science, I have noticed that many students come into the class without the knowledge needed to chart or graph data. Many times science teachers take for granted that students will know how to chart and graph information. Unfortunately, this is often not the case and if students do not know how to interpret these types of data intensive documents, they are not going to be able to achieve our definition of science literacy. In order to understand complex systems students need to be able to interpret the documents that scientists use to disseminate information. The above article gave us several strategies for helping students understand scientific texts and documents. Watch the following video regarding interpreting graphs for the ACT test.
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http://science-infographics.org/wp-content/uploads/2016/11/5-Comparing-Across-Categories.pdf Ways to organize textual data
  
<html5media height="360" width="640”>https://www.youtube.com/watch?v=EiUK_JewKPM</html5media>
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http://science-infographics.org/wp-content/uploads/2016/11/1-Time-series-charts-in-Venngage.pdf Time series data (charts/graph)
  
Interpreting Graphs:
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http://science-infographics.org/wp-content/uploads/2016/11/6-Assembling-and-Displaying-Histograms.pdf- Creating Histograms
  
One area that students seem to struggle with is the interpretation of graphs. This can happen for many reasons, and sometimes it can be hard for the educator to narrow down exactly what the students are struggling with. There are many instances in science where students will have to interpret graphs including labs, tests/quizzes, and state exams. Sometimes the graphs are displayed in ways that make them more difficult to interpret or misrepresent the data (such as making a small increase on a graph look like a major change due to the scale chosen). There are tactics we can use as educators to help our students interpret the graphs more effectively, and create graphs for our students that will not mislead them. Read the following PDFs which focus on strategies for helping students interpret a graphs that may be confusing, and give suggestions for what types of graphs to have students use in certain circumstances. Even though state exams focus heavily on line graphs, in order for our students to be scientifically literate we must help them interpret all types of data intensive graphs.  
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http://science-infographics.org/wp-content/uploads/2016/11/4-Visualizing-Relationships-in-Venngage.pdf- Scatter Plots
  
http://science-infographics.org/wp-content/uploads/2019/01/Bar-Graph-Help-Document-v3.pdf Bar graph help
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http://science-infographics.org/wp-content/uploads/2016/11/3-Creating-Graphs-of-Distributions-in-Venngage.pdf Graphs of Distribution
  
http://science-infographics.org/wp-content/uploads/2019/01/Pie-Graph-Help-Document.pdf Pie Graph help
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If you have less data and the above process does not fit your needs for the classroom, click the link below and watch the videos on how to create charts and graphs in only Excel. The tab on the left lets you watch videos that address the different data intensive documents that we have been discussing.
  
http://science-infographics.org/wp-content/uploads/2019/01/Two-Axis-Graph-Help-Document.pdf Line graph help     
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https://support.office.com/en-us/article/video-create-a-chart-4d95c6a5-42d2-4cfc-aede-0ebf01d409a8
  
 +
Teaching students to represent data in a visual way that is accepted by the scientific community is an important part of scientific literacy and has the ability to engage our students. At the same time we are teaching them 21st century skills that will be needed to be successful in an world that is rapidly evolving technologically. It is also true that our students will still have to be able to make some of these documents on paper for testing purposes. The hope is that by having them create these data intensive documents using technology, transferring this knowledge over to making/interpreting them on paper will easier because they will have already analyzed the data in more complex ways. We can also use the skills we discussed in the previous unit to help students transfer this knowledge. Watch the following video on knowledge transfer to get a better understanding of how creating data intensive documents could help students in other aspects of science, and in other disciplines
  
Interpreting Diagrams:
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https://www.youtube.com/watch?v=N8QfkT8L9lo&t=139s
 
 
The ability to interpret diagrams is another important skill in science. Some of these skills tie back into the skills of reading textual evidence, but there are other types of diagrams that can be re-worked to increase students' ability to interpret them. Read the following brief article on helping students interpret pictographs.
 
http://science-infographics.org/wp-content/uploads/2019/01/Pictograph-Help-Document.pdf
 
  
 
==Work Period==
 
==Work Period==
Respond to the following questions in the discussion section for this unit.
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After reading and viewing all of the materials from this section, use the discussion page to answer the following questions.
# What types of data intensive documents have we identified as being important for students? Explain why a student would need to be able to interpret these documents to be scientifically literate.
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# How can the use of technology support student learning in science classrooms?
# Describe strategies we as educators can take to help our students interpret each of the following: Textual documents, charts/tables, graphs, and diagrams. Explain how we can help our students organize data to display it in an easy to read format.
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# How would the use of technology to create data intensive documents be beneficial to the overall learning of students in science?
# Predict the benefits of helping students to interpret these types of documents. How will adopting these strategies help our students achieve scientific literacy?
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# What limitations do you foresee in using technology to create data intensive documents, and how could we counter these limitations using strategies learned in this mini course?
 +
# If we teach students to analyze data intensive documents, and have them use technology to create them, how can this knowledge be transferred to other concepts in science, and education in general?  
  
Answe these questions in the following discussion space: [[Talk: Discussion Unit 2]]
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Answer the questions in the discussion space below:
 +
 
 +
[[Talk: Discussion Unit 3]]
  
 
==Summary/Conclusion==
 
==Summary/Conclusion==
This unit gave us some clarity on what types of documents are data intensive and important for students to interpret. Hopefully you were able to add some strategies and tactics that you can bring into the classroom to help students at all ability levels to interpret scientific documents. I hope the discussion section helped you to reflect on different aspects of scientific interpretation that students struggle with and ways we as educators can organize, and help our students organize, data to make it easier to interpret and understand. It is important to think about the reading strategies presented in this unit as well because they can be transferred to help students interpret other types of scientific documentations. In the next unit we will focus on ways we can promote students to create these documents that align with 21st century skills.
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In this unit we examined how we can utilize technology to have students create data intensive documents, and why technology is an important to utilize when teaching science. At this point we have defined science literacy, examined strategies to help students interpret data intensive documents, and explored how to utilize technology to create these documents which will further engage our students and promote the transfer of learning and skills. To wrap up this mini course, in the final unit, you will be creating your own lesson plan (or unit plan) that incorporates skills for examining data intensive documents and has students create these documents. This final step will help you to incorporate important 21st century skills that our students need to succeed.
  
 
==References==
 
==References==
ACT. (2012). Reading Graphs and Tables on the ACT Science Test. Retrieved from: https://www.youtube.com/watch?v=EiUK_JewKPM
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Education Week. (2017). What is ‘Transfer of Learning’ and How Does it Help Students. Retrieved from: https://www.youtube.com/watch?v=N8QfkT8L9lo&t=139s
 +
 
 +
Frezzo, D. (2017). The role of technology in the education of the future. World Economic forum. Retrieved from: https://www.weforum.org/agenda/2017/05/science-of-learning/
  
Kesty, S., (2018). Supporting Literacy in the Science Classroom. Retrieved from: https://www.edutopia.org/article/supporting-literacy-science-classroom
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Microsoft. (2020). Excel Training. Retrieved from: https://support.office.com/en-us/article/video-create-a-chart-4d95c6a5-42d2-4cfc-aede-0ebf01d409a8
  
MPRES Project Partners. (2015). Analyzing and Interpreting Data. Retrieved from: http://www.mtscienceducation.org/toolkit-home/scientific-engineering-practices/analyzing-interpreting-data/
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Minchi, K., Hannafin, M. J., Bryan, L., A. (2007). Technology Enhanced Inquiry Tools in Science Education: An Emerging Pedagogical Framework for Classroom Practice. Wiley Periodicals, p. 1010-1030. Retrieved from: https://onlinelibrary.wiley.com/doi/pdf/10.1002/sce.20219
  
National Science Foundation. (n.d). STEM Literacy through infographics. Retrieved from: http://science-infographics.org/  
+
National Science Foundation. (n.d). STEM Literacy through infographics. Retrieved from: http://science-infographics.org/
  
Portland State University Library. (2018). Manage Your Research Data: Documentation and Metadata. Retrieved from: https://guides.library.pdx.edu/data/metadata.
+
Office of Educational Technology. (2020). Roles and Practices of Educators in Technology-Supported Learning. Retrieved from: https://tech.ed.gov/netp/teaching/

Revision as of 13:34, 10 May 2020

Return to: Go to: ETAP 623 Spring 2020 (Zhang) | Brian's Profile Page | Unit 4: Data Intensive Lesson Plan


Learning Objectives

  1. Learners will be able to explain the role of technology in science classes.
  2. Learners will explain the benefit of using technology to have students create data intensive documents.
  3. Explain how the knowledge to construct data intensive documents can be transferred to other areas of science, and other disciplines.

Do Now

Think about the different ways you have students create data intensive media documents. Use the discussion space to identify how you usually have students create charts/tables, graphs, and diagrams. Then discuss how you utilize technology in the classroom, and predict how technology could support the creation of data intensive media. Talk: Discussion Unit 3

After you have done this, read the brief article, and watch the video, below on how the role of technology is expanding in education in general. Think about the creation of data intensive documents and how technology can support collaboration and student engagement around creation of these documents.

https://www.weforum.org/agenda/2017/05/science-of-learning/

https://tech.ed.gov/netp/teaching/ (You will have to scroll down the page until you see the video on the right. Feel free to read the page as well for further clarification

Mini-Lecture

As educators, we all probably use technology in some form or another to disseminate information and support student engagement. Science is an inquiry process where it is important to allow students to explore concepts and ideas for themselves, test these ideas, and form conclusions based on their experiments. Read the following article by Kim Minchi which outlines some of the reasons technology is crucial for science education:

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sce.20219

Now that we have an understanding of the role technology can play in engaging and supporting learning in science classrooms we will look at specific ways we can help our students use technology to make data intensive documents. One platform that educators and students may both be familiar with is Google. Using Google sheets and Excel is a way that we can engage students in platforms that they are familiar with, and utilize relevant technology. As the article and the video on the Do Now section stated, as many as 65% of our students may have jobs that do not even exist yet today. This makes it all the more important to teach students 21st century skills by utilizing technology. Take a look at the following PDFs which walk you through the steps of making data intensive documents utilizing Google Sheets and Excel. While the examples show large amounts of data in each document, these tools can still be used for data collected by students during inquiry investigations.

http://science-infographics.org/wp-content/uploads/2016/11/5-Comparing-Across-Categories.pdf Ways to organize textual data

http://science-infographics.org/wp-content/uploads/2016/11/1-Time-series-charts-in-Venngage.pdf Time series data (charts/graph)

http://science-infographics.org/wp-content/uploads/2016/11/6-Assembling-and-Displaying-Histograms.pdf- Creating Histograms

http://science-infographics.org/wp-content/uploads/2016/11/4-Visualizing-Relationships-in-Venngage.pdf- Scatter Plots

http://science-infographics.org/wp-content/uploads/2016/11/3-Creating-Graphs-of-Distributions-in-Venngage.pdf Graphs of Distribution

If you have less data and the above process does not fit your needs for the classroom, click the link below and watch the videos on how to create charts and graphs in only Excel. The tab on the left lets you watch videos that address the different data intensive documents that we have been discussing.

https://support.office.com/en-us/article/video-create-a-chart-4d95c6a5-42d2-4cfc-aede-0ebf01d409a8

Teaching students to represent data in a visual way that is accepted by the scientific community is an important part of scientific literacy and has the ability to engage our students. At the same time we are teaching them 21st century skills that will be needed to be successful in an world that is rapidly evolving technologically. It is also true that our students will still have to be able to make some of these documents on paper for testing purposes. The hope is that by having them create these data intensive documents using technology, transferring this knowledge over to making/interpreting them on paper will easier because they will have already analyzed the data in more complex ways. We can also use the skills we discussed in the previous unit to help students transfer this knowledge. Watch the following video on knowledge transfer to get a better understanding of how creating data intensive documents could help students in other aspects of science, and in other disciplines

https://www.youtube.com/watch?v=N8QfkT8L9lo&t=139s

Work Period

After reading and viewing all of the materials from this section, use the discussion page to answer the following questions.

  1. How can the use of technology support student learning in science classrooms?
  2. How would the use of technology to create data intensive documents be beneficial to the overall learning of students in science?
  3. What limitations do you foresee in using technology to create data intensive documents, and how could we counter these limitations using strategies learned in this mini course?
  4. If we teach students to analyze data intensive documents, and have them use technology to create them, how can this knowledge be transferred to other concepts in science, and education in general?

Answer the questions in the discussion space below:

Talk: Discussion Unit 3

Summary/Conclusion

In this unit we examined how we can utilize technology to have students create data intensive documents, and why technology is an important to utilize when teaching science. At this point we have defined science literacy, examined strategies to help students interpret data intensive documents, and explored how to utilize technology to create these documents which will further engage our students and promote the transfer of learning and skills. To wrap up this mini course, in the final unit, you will be creating your own lesson plan (or unit plan) that incorporates skills for examining data intensive documents and has students create these documents. This final step will help you to incorporate important 21st century skills that our students need to succeed.

References

Education Week. (2017). What is ‘Transfer of Learning’ and How Does it Help Students. Retrieved from: https://www.youtube.com/watch?v=N8QfkT8L9lo&t=139s

Frezzo, D. (2017). The role of technology in the education of the future. World Economic forum. Retrieved from: https://www.weforum.org/agenda/2017/05/science-of-learning/

Microsoft. (2020). Excel Training. Retrieved from: https://support.office.com/en-us/article/video-create-a-chart-4d95c6a5-42d2-4cfc-aede-0ebf01d409a8

Minchi, K., Hannafin, M. J., Bryan, L., A. (2007). Technology Enhanced Inquiry Tools in Science Education: An Emerging Pedagogical Framework for Classroom Practice. Wiley Periodicals, p. 1010-1030. Retrieved from: https://onlinelibrary.wiley.com/doi/pdf/10.1002/sce.20219

National Science Foundation. (n.d). STEM Literacy through infographics. Retrieved from: http://science-infographics.org/

Office of Educational Technology. (2020). Roles and Practices of Educators in Technology-Supported Learning. Retrieved from: https://tech.ed.gov/netp/teaching/