{"id":641,"date":"2022-02-16T11:23:15","date_gmt":"2022-02-16T16:23:15","guid":{"rendered":"https:\/\/dev4.legawebdesign.com\/?page_id=641"},"modified":"2024-09-23T13:27:07","modified_gmt":"2024-09-23T17:27:07","slug":"cocorahs-apr","status":"publish","type":"page","link":"https:\/\/horizon-research.com\/tl4cs\/cocorahs\/cocorahs-apr\/","title":{"rendered":"CoCoRaHS, 8: April"},"content":{"rendered":"

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8: April<\/h2>\n

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Seasonal variations in precipitation across regions<\/h4>\n

Purpose<\/strong>
Last month, students compared one season\u2019s precipitation across regions. In this month\u2019s activities, students make sense of multiple seasons\u2019 variations in precipitation across NC\u2019s regions by comparing historic seasonal precipitation totals (fall, winter, spring, summer) in each region and considering geographic differences.<\/span><\/p>\n

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\"\"<\/p>\n

Drawing on what they have learned about seasonal and regional variation, students describe how their region compares to the regions of other stations in terms of seasonal variation and geographic characteristics. Students can use this template<\/a> for compiling seasonal precipitation data for a county in each region. Provide students with a map of North Carolina that displays the other stations\u2019 locations (one in their location and one in each of the other<\/span>\"\"<\/span>\u00a0two regions) so that students can look for differences in location (proximity to water), as well<\/span>\u00a0as other geographic features (e.g., rain shadow). Ask students to recall what was discussed during last month\u2019s engagement to consider how these geographic features might influence the precipitation for the other stations.\u00a0<\/span><\/span><\/p>\n

[\/et_pb_text][et_pb_button button_url=”@ET-DC@eyJkeW5hbWljIjp0cnVlLCJjb250ZW50IjoicG9zdF9saW5rX3VybF9wYWdlIiwic2V0dGluZ3MiOnsicG9zdF9pZCI6IjYzOSJ9fQ==@” button_text=”Previous: 7: March” button_alignment=”left” _builder_version=”4.21.0″ _dynamic_attributes=”button_url” _module_preset=”default” custom_button=”on” button_text_size=”14px” button_border_width=”0px” button_icon=”#||divi||400″ button_icon_placement=”left” button_on_hover=”off” custom_margin=”|0px|||false|false” custom_padding=”|0px|||false|false” global_colors_info=”{}”][\/et_pb_button][et_pb_button button_url=”@ET-DC@eyJkeW5hbWljIjp0cnVlLCJjb250ZW50IjoicG9zdF9saW5rX3VybF9wYWdlIiwic2V0dGluZ3MiOnsicG9zdF9pZCI6IjY0MyJ9fQ==@” button_text=”Next: 9: Culminating Activities” button_alignment=”right” _builder_version=”4.21.0″ _dynamic_attributes=”button_url” _module_preset=”default” custom_button=”on” button_text_size=”14px” button_border_width=”0px” button_icon=”$||divi||400″ button_on_hover=”off” custom_margin=”|0px||100px|false|false” custom_padding=”|||0px|false|false” custom_css_main_element=”text-align:right !important;” global_colors_info=”{}”][\/et_pb_button][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.16″ _module_preset=”default” text_font_size=”14px” text_line_height=”1.3em” header_font=”EB Garamond||||||||” header_font_size=”56px” header_line_height=”1.3em” header_2_font=”|700|||||||” header_2_font_size=”30px” header_3_font=”|600|||||||” header_3_font_size=”26px” header_3_line_height=”1.4em” header_4_font=”|700||on|||||” header_4_text_color=”#89CEA4″ header_4_font_size=”16px” header_4_letter_spacing=”1px” header_4_line_height=”1.8em” custom_margin=”||2px|||” header_font_size_tablet=”50px” header_font_size_phone=”32px” header_font_size_last_edited=”on|phone” global_colors_info=”{}”]<\/p>\n

Standards + Practices<\/h4>\n

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Science Standards: <\/strong><\/p>\n

ESS.5.1.1 <\/strong>Analyze and interpret data to compare daily and seasonal changes in weather conditions and patterns<\/p>\n

ESS.5.1.2 <\/strong>Analyze and interpret weather data to explain current and upcoming weather conditions in a given location<\/p>\n

ESS.5.1.3 <\/strong>Construct an explanation to summarize the ocean\u2019s influences on weather and climate in North Carolina<\/p>\n

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Science Practices<\/strong><\/strong>
SP1: Asking questions and defining problems
SP2: Developing and using models
SP4: Analyze and interpret data
SP5: Using mathematics and computational thinking
SP6: Constructing explanations and designing solutions<\/p>\n

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Math Standards: <\/strong><\/p>\n

NC.5.MD.2 <\/strong>Represent and interpret data: Collect data by asking a question that yields data that changes over time.<\/p>\n

NC.5.NBT.7 <\/strong>Compute and solve real-world problems with multi-digit whole numbers and decimal numbers<\/p>\n

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Math Practices<\/strong>
MP5: Use appropriate tools strategically<\/p>\n

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Resources + Supports<\/h4>\n

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Communication with Other CoCoRaHS Station Schools<\/a><\/p>\n

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Ms. Clark\u2019s Class Connects with Other Schools<\/a><\/p>\n

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Constructing Explanations Using Data as Evidence<\/a><\/p>\n

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Compiling Student Work<\/a><\/p>\n

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Culminating Activities Preview<\/a><\/p>\n

[\/et_pb_blurb][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ admin_label=”Objectives” module_id=”extension” _builder_version=”4.21.0″ background_enable_color=”off” custom_padding=”35px|||||” border_width_top=”8px” border_color_top=”#89CEA4″ global_colors_info=”{}”][et_pb_row column_structure=”1_4,3_4″ use_custom_gutter=”on” gutter_width=”1″ make_equal=”on” admin_label=”Module Heading with Icon” _builder_version=”4.16″ custom_padding=”||1px|||” locked=”off” global_colors_info=”{}”][et_pb_column type=”1_4″ _builder_version=”4.16″ custom_padding=”|||” custom_css_main_element=”width: 18%!important;” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_image src=”https:\/\/horizon-research.com\/tl4cs\/wp-content\/uploads\/2022\/02\/Asset-21.png” title_text=”Asset 21″ show_bottom_space=”off” align=”center” _builder_version=”4.21.0″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][et_pb_column type=”3_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.16″ _module_preset=”default” header_font=”EB Garamond||||||||” header_text_align=”left” header_text_color=”#454545″ header_font_size=”42px” header_line_height=”2.2em” header_3_font=”|700|||||||” header_3_text_color=”#454545″ header_3_font_size=”26px” header_line_height_tablet=”1.2em” header_line_height_phone=”1.2em” header_line_height_last_edited=”on|tablet” global_colors_info=”{}”]<\/p>\n

Communicating with Other CoCoRaHS Station Schools<\/b><\/h3>\n

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An engaging extension experience for students would be to arrange an opportunity to communicate with other schools that have CoCoRaHS stations in different regions, ideally in real-time, if possible (e.g., Skype, Zoom, Google Meet). Students from the other school could share the graphs they created in February and communicate their findings of seasonal variation within their region with other stations in different regions. Students could also pose and answer questions that classes have about their region. After communicating with the other school, students might consider what they have learned about seasonal variation from the stations across the state and how that supports or refutes their initial ideas about differences by location. See example in narrative section. <\/span><\/p>\n

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Ms. Clark\u2019s Class Connects with Other Schools<\/b><\/h3>\n

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After having her class participate in the project for several months, Ms. Clark would like to allow students to communicate what they have learned and gather more in-depth information about two other schools. Ms. Clark reached out to the teachers at two other schools to arrange times for virtual meet-ups. <\/span><\/p>\n

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She planned to spend two 45-minute class periods on CoCoRaHS sensemaking in April and scheduled a 20-minute video call with one of the schools each day. She wanted to ensure that students could get the most out of the 20-minute call and that students would feel prepared to pose and respond to questions. During the first 25 minutes of the class period, she facilitated a discussion among her students as they reviewed the data they examined the previous month. They generated a list of questions for the other school (e.g., How does being close to mountain ranges affect your precipitation? In which season did you record the most precipitation? Why do you think that is? Does it mostly rain where you are or have you measured other types of precipitation? Have you had any sports events impacted by weather? Was there a weather event near you that made the news recently?) Ms. Clark reminds the class that students from the other school will have similar questions for them. They role-play, asking and answering questions about their region being sure to include everyone in the discussion and practice. During the 20-minute call, Ms. Clark\u2019s class spends the first 10 minutes answering questions from students at the other school and the last 10 minutes posing their questions. Ms. Clark takes notes on chart paper so that her students can refer back to this when constructing their explanations about seasonal and regional variation in precipitation. <\/span><\/p>\n

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Constructing Explanations Using Data as Evidence<\/h3>\n

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An important scientific practice is to construct explanations using scientific data as evidence for support and students would benefit from doing so this month by reflecting in writing. They have analyzed an abundance of data this month and taking time to consider what they have learned by writing about it would provide a great opportunity for sense making. Ideas for writing prompts:\u00a0<\/span><\/p>\n

Which geographic feature do you think influenced the other location’s data the most? Why do you think that?\u00a0<\/span><\/i><\/p>\n

What additional evidence could be collected to help determine how much this factor affects the weather in a given location?\u00a0<\/span><\/i><\/p>\n

If the location of our county was in a different region, do you think that would affect our weather data? Support your answer with specific examples.<\/span><\/i><\/p>\n

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Compiling Student Work<\/h3>\n

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As students have been working on CoCoRaHS activities throughout the school year, they have many potential artifacts that could be useful during the culminating project when they will be investigating a question of interest. Taking some time to help students organize their work in preparation for the culminating activitiy would be very beneficial. <\/span><\/p>\n

Artifacts:<\/span><\/span><\/p>\n

<\/span><\/span><\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n
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Month<\/strong><\/p>\n<\/td>\n

Potential Artifacts<\/b><\/td>\n<\/tr>\n
Throughout the year\u00a0<\/span><\/td>\n\n
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  • Weather log (science notebook)<\/span><\/li>\n
  • Rain gauge observations (science notebook)<\/span><\/li>\n<\/ul>\n<\/td>\n<\/tr>\n
August\/September<\/span><\/td>\n\n
October<\/span><\/td>\n\n
    \n
  • Class graph (potentially if students have a picture of it)<\/span><\/li>\n
  • Writing Prompt(s)<\/span><\/li>\n<\/ul>\n<\/td>\n<\/tr>\n
November<\/span><\/td>\n\n
    \n
  • September and October station specific and county level monthly totals (science notebook)\u00a0<\/span><\/li>\n
  • Discussion questions (if any had written responses in science notebooks)<\/span><\/li>\n
  • Exit Ticket prompt<\/span><\/li>\n<\/ul>\n<\/td>\n<\/tr>\n
December<\/span><\/td>\n\n
    \n
  • Predictions about other locations\u00a0<\/span><\/li>\n
  • Another location’s data\u00a0<\/span><\/li>\n
  • Graph comparing school station with another location (and county?)\u00a0<\/span><\/li>\n<\/ul>\n<\/td>\n<\/tr>\n
January\u00a0<\/span><\/td>\n\n
    \n
  • Another location’s data (in other regions)<\/span><\/li>\n
  • Updated graph\u00a0<\/span><\/li>\n
  • Any written responses to class discussion on patterns noticed and\/or variance between locations\u00a0<\/span><\/li>\n<\/ul>\n<\/td>\n<\/tr>\n
February<\/span><\/td>\n\n
March\u00a0<\/span><\/td>\n\n
April\u00a0<\/span><\/td>\n\n