A | B | C | D | E | F | G | H | ||
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1 | Machine Learning Rubric | Student name: | Class: | ||||||
2 | Projects | Level of Performance | Feedback | ||||||
3 | Outcome | Components | Beginning | Developing | Accomplished | Exemplary | Score | Comments | |
4 | Analyze Driving Data | Spreadsheet and Pivot Table | At least 3 of 8 elements are present and complete: -Choose and copy one of the starter project spreadsheets. -Remove "Copy of" from title. -Add your name to the title. -Create a "Start Locations" pivot table. -Add "Start" to rows. -Add "Start" to values. -Summarize values by "COUNTA." -Resize columns to show full addresses. | At least 4 of 8 elements are present and complete: -Choose and copy one of the starter project spreadsheets. -Remove "Copy of" from title. -Add your name to the title. -Create a "Start Locations" pivot table. -Add "Start" to rows. Add "Start" to values. -Summarize values by "COUNTA." -Resize columns to show full addresses. | At least 6 of 8 elements are present and complete: -Choose and copy one of the starter project spreadsheets. -Remove "Copy of" from title. -Add your name to the title. -Create a "Start Locations" pivot table. -Add "Start" to rows. -Add "Start" to values. -Summarize values by "COUNTA." -Resize columns to show full addresses. | 8 of 8 elements are present and complete: -Choose and copy one of the starter project spreadsheets. -Remove "Copy of" from title. -Add your name to the title. -Create a "Start Locations" pivot table. -Add "Start" to rows. -Add "Start" to values. -Summarize values by "COUNTA." -Resize columns to show full addresses. | |||
5 | Link to Exemplary Project | My Map | 2 of 8 elements are present and complete: -Create and name a new Google MyMap. -Add a map description. -Import the Driving Data spreadsheet. -Select the start column for locations. -Select the start column for labels. -Add custom map marker for their home, work, or school . -Add custom map marker for at least one favorite spot. -Add descriptions to your custom markers. | 4 of 8 elements are present and complete: -Create and name a new Google MyMap. -Add a map description. -Import the Driving Data spreadsheet. -Select the start column for locations. -Select the start column for labels. -Add custom map marker for their home, work, or school . -Add custom map marker for at least one favorite spot. -Add descriptions to your custom markers. | 6 of 8 elements are present and complete: -Create and name a new Google MyMap. -Add a map description. -Import the Driving Data spreadsheet. -Select the start column for locations. -Select the start column for labels. -Add custom map marker for their home, work, or school . -Add custom map marker for at least one favorite spot. -Add descriptions to your custom markers. | 8 of 8 elements are present and complete: -Create and name a new Google MyMap. -Add a map description. -Import the Driving Data spreadsheet. -Select the start column for locations. -Select the start column for labels. -Add custom map marker for their home, work, or school . -Add custom map marker for at least one favorite spot. -Add descriptions to your custom markers. | |||
6 | Link to Beginning Project | Reflection | At least 2 of 7 items are present and complete: -Create a new Google document. -Name it “Machine Learning Journal.” -Include heading “Data Lesson Reflection." -List at least two people, groups, or businesses that you would share your driving data with. -Tell why you would share it. -List at least two people, groups, or businesses that you would not want to share this data with. -Tell why you would not want to share it. | At least 4 of 7 items are present and complete: -Create a new Google document. -Name it “Machine Learning Journal.” -Include heading “Data Lesson Reflection." -List at least two people, groups, or businesses that you would share your driving data with. -Tell why you would share it. -List at least two people, groups, or businesses that you would not want to share this data with. -Tell why you would not want to share it. | 6 of 7 items are present and complete: -Create a new Google document. -Name it “Machine Learning Journal.” -Include heading “Data Lesson Reflection." -List at least two people, groups, or businesses that you would share your driving data with. -Tell why you would share it. -List at least two people, groups, or businesses that you would not want to share this data with. -Tell why you would not want to share it . | 7 of 7 items are present and complete: -Create a new Google document. -Name it “Machine Learning Journal.” -Include heading “Data Lesson Reflection." -List at least two people, groups, or businesses that you would share your driving data with. Tell why you would share it. -List at least two people, groups, or businesses that you would not want to share this. data with. -Tell why you would not want to share it . | |||
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8 | Build a Recommendation System Part 1 | Form | 2 of 8 elements are present and complete: -Create a new Google Form. -Title the form. -Title each image. -Include at least 6 images. -Include a linear scale for each image. -Restricted images to one category. -Take a practice survey. -Collect responses from at least 10 people. | 4 of 8 elements are present and complete: -Create a new Google Form. -Title the form. -Title each image. -Include at least 6 images. -Include a linear scale for each image. -Restricted images to one category. -Take a practice survey. -Collect responses from at least 10 people. | 6 of 8 elements are present and complete: -Create a new Google Form. -Title the form. -Title each image. -Include at least 6 images. -Include a linear scale for each image. -Restricted images to one category. -Take a practice survey. -Collect responses from at least 10 people. | 8 of 8 elements are present and complete: -Create a new Google Form. -Title the form. -Title each image. -Include at least 6 images. -Include a linear scale for each image. -Restricted images to one category. -Take a practice survey. -Collect responses from at least 10 people. | |||
9 | Link to Exemplary Project | Spreadsheet Format | 2 of 8 elements are present and complete: -Delete practice data from results. -Include at least 10 responses. -Timestamp is labeled "Data Set." -Data is split into two groups with a visual separator. -Top data set is labeled "Training Data" in column A. -Bottom data set is labeled "Test Data" in column A. -Column is added and labeled "Users." -"Users" are labeled User 1 to User 10. | 4 of 8 elements are present and complete: -Delete practice data from results. -Include at least 10 responses. -Timestamp is labeled "Data Set." -Data is split into two groups with a visual separator. -Top data set is labeled "Training Data" in column A. -Bottom data set is labeled "Test Data" in column A. -Column is added and labeled "Users." -"Users" are labeled User 1 to User 10. | 6 of 8 elements are present and complete: -Delete practice data from results. -Include at least 10 responses. -Timestamp is labeled "Data Set." -Data is split into two groups with a visual separator. -Top data set is labeled "Training Data" in column A. -Bottom data set is labeled "Test Data" in column A. -Column is added and labeled "Users." -"Users" are labeled User 1 to User 10. | 8 of 8 elements are present and complete: -Delete practice data from results. -Include at least 10 responses. -Timestamp is labeled "Data Set." -Data is split into two groups with a visual separator. -Top data set is labeled "Training Data" in column A. -Bottom data set is labeled "Test Data" in column A. -Column is added and labeled "Users." -"Users" are labeled User 1 to User 10. | |||
10 | Link to Beginning Project | ||||||||
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12 | Build a Recommendation System Part 2 | Develop an Algorithm | 2 of 7 elements are present and complete: -Insert top row and label it "Average Difference from Item 1." -Correctly use the ARRAY formula in E1 through I1. -Apply absolutue cell references to formulas . -Copy E1 over to I1. -Insert new column labeled "Predicting Column." -Correctly use ARRAY formula in C8 through C12. -Apply absolute cell references to C8 through C12. | 3 of 7 elements are present and complete: -Insert top row and label it "Average Difference from Item 1." -Correctly use the ARRAY formula in E1 through I1. -Apply absolutue cell references to formulas . -Copy E1 over to I1. -Insert new column labeled "Predicting Column." -Correctly use ARRAY formula in C8 through C12. -Apply absolute cell references to C8 through C12. | 5 of 7 elements are present and complete: -Insert top row and label it "Average Difference from Item 1." -Correctly use the ARRAY formula in E1 through I1. -Apply absolutue cell references to formulas . -Copy D1 over to I1. -Insert new column labeled "Predicting Column." -Correctly use ARRAY formula in C8 through C12. -Apply absolute cell references to C8 through C12. | 7 of 7 elements are present and complete: -Insert top row and label it "Average Difference from Item 1." -Correctly use the ARRAY formula in E1 through I1. -Apply absolutue cell references to formulas . -Copy E1 over to I1. -Insert new column labeled "Predicting Column." -Correctly use ARRAY formula in C8 through C12. -Apply absolute cell references to C8 through C12. | |||
13 | Link to Exemplary Project | Reflection | -Open your existing journal OR create a new Google document named "Machine Learning Journal.” -Add a heading “Build a Recommendation System Reflection." -Format heading as Heading 1 -Jot rough notes about the data you collected, what made it good, and how you could improve it. | -Open your existing journal OR create a new Google document named "Machine Learning Journal.” -Add a heading “Build a Recommendation System Reflection." -Format heading as Heading 1 -Answer questions about the data you collected, what made it good, and how you could improve it. | -Open your existing journal OR create a new Google document named "Machine Learning Journal.” -Add a heading “Build a Recommendation System Reflection." -Format heading as Heading 1 -Answer in complete sentences questions about the data you collected, what made it good, and how you could improve it. | -Open your existing journal OR create a new Google document named "Machine Learning Journal.” -Add a heading “Build a Recommendation System Reflection." -Format heading as Heading 1 -Write a coherent paragraph or more about the data you collected, what made it good, and how you could improve it. | |||
14 | Link to Beginning Project | ||||||||
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16 | Train a Computer | ||||||||
17 | Link to Exemplary Project | ||||||||
18 | Link to Beginning Project | Reflection | -Open your existing journal OR create a new Google document named "Machine Learning Journal.” -Add a heading “Train a Computer Reflection." -Format heading as Heading 1 -Write a paragraph or more about what you learned while trying to train the computer? Think about what went well and what you would do differently next time and why. | ||||||
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20 | Create a Reflection Journal | Sharing Data | At least 2 of 7 items are present and complete: -Create a new Google document. -Name it “Machine Learning Journal.” -Include heading “Data Lesson Reflection." -List at least two people, groups, or businesses that you would share your driving data with. -Tell why you would share it. -List at least two people, groups, or businesses that you would not want to share this data with. -Tell why you would not want to share it. | At least 4 of 7 items are present and complete: -Create a new Google document. -Name it “Machine Learning Journal.” -Include heading “Data Lesson Reflection." -List at least two people, groups, or businesses that you would share your driving data with. -Tell why you would share it. -List at least two people, groups, or businesses that you would not want to share this data with. -Tell why you would not want to share it. | 6 of 7 items are present and complete: -Create a new Google document. -Name it “Machine Learning Journal.” -Include heading “Data Lesson Reflection." -List at least two people, groups, or businesses that you would share your driving data with. -Tell why you would share it. -List at least two people, groups, or businesses that you would not want to share this data with. -Tell why you would not want to share it . | 7 of 7 items are present and complete: -Create a new Google document. -Name it “Machine Learning Journal.” -Include heading “Data Lesson Reflection." -List at least two people, groups, or businesses that you would share your driving data with. Tell why you would share it. -List at least two people, groups, or businesses that you would not want to share this. data with. -Tell why you would not want to share it . | |||
21 | Link to Exemplary Project | Building a Recommendation System | -Open your existing journal OR create a new Google document named "Machine Learning Journal.” -Add a heading “Build a Recommendation System Reflection." -Format heading as Heading 1 -Jot rough notes about the data you collected, what made it good, and how you could improve it. | -Open your existing journal OR create a new Google document named "Machine Learning Journal.” -Add a heading “Build a Recommendation System Reflection." -Format heading as Heading 1 -Answer questions about the data you collected, what made it good, and how you could improve it. | -Open your existing journal OR create a new Google document named "Machine Learning Journal.” -Add a heading “Build a Recommendation System Reflection." -Format heading as Heading 1 -Answer in complete sentences questions about the data you collected, what made it good, and how you could improve it. | -Open your existing journal OR create a new Google document named "Machine Learning Journal.” -Add a heading “Build a Recommendation System Reflection." -Format heading as Heading 1 -Write a coherent paragraph or more about the data you collected, what made it good, and how you could improve it. | |||
22 | Link to Beginning Project | -Open your existing journal OR create a new Google document named "Machine Learning Journal.” -Add a heading “Fairness in Machine Learning." -Format heading as Heading 1. -Create and title a sub-head by category of image you chose -Insert 5 images that fit your image category -Write a paragraph or more about your thoughts, discoveries, and concerns about the concept of fairness in machine learning. | |||||||
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25 | Link to Exemplary Project | ||||||||
26 | Link to Beginning Project | ||||||||
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28 | Supplementary Rubric | ||||||||
29 | Other Student Outcomes | [Add your own category here] | |||||||
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