Level 2 Aggregated

• Interactive Mart Dependency Diagram

• Schema

• Field Structure and Subcategories

  • Dependencies

  • Assignment Weight Groupings

  • Z-Score Fields

• Assignments

  • Number of Submissions

  • Number of Assignments

  • Number of Missing Submissions

  • Number of Late Submissions

  • Average Time Buffer in Hours

  • Average Published Score Percentage

• Discussions

  • Discussion Entry Counts

  • Discussion Counts

  • Total Discussion Counts

  • Average Discussion Entry Length

• Learning Environment Activity

  • View Days

  • Sessions with 10, 20, and 30 Minute Cutoffs

  • Tool Launches

  • File Views

The mart_taskforce.level2_aggregated mart aggregates data about a student’s performance and activities in a course on a weekly basis relative to average course and peer behaviors. This table exists alongside mart_taskforce.level2_course_weekly_distribution_summary

BQ Prod Dataset Locations

• mart_taskforce

Interactive Mart Dependency Diagram

The following visualization shows the construction of this data mart defined in the UDP marts repository. More information on the repository and diagram can be found on this marts page.

Click here to open the interactive chart.

mart_taskforce.level2_aggregated

Schema

mart/taskforce/level2_aggregated

Field Name
udp_person_id	INTEGER	The UDP ID of the student.
lms_person_id	STRING	The LMS ID of the student.
udp_course_offering_id	INTEGER	The UDP ID of the course offering.
lms_course_offering_id	STRING	The LMS ID of the course offering.
week_in_term	INTEGER	The week of the academic term.
week_start_date	DATE	The start date of the week of the academic term.
week_end_date	DATE	The end date of the week of the academic term.
num_tiny_submissions_z	FLOAT	Z-score for the number of submissions classified as ‘tiny’, or making up a tiny percentage of the student’s final grade.
num_small_submissions_z	FLOAT	Z-score for the number of submissions classified as ‘small’, or making up a small percentage of the student’s final grade.
num_medium_submissions_z	FLOAT	Z-score for the number of submissions classified as ‘medium’, or making up a medium percentage of the student’s final grade.
num_large_submissions_z	FLOAT	Z-score for the number of submissions classified as ‘large’, or making up a large percentage of the student’s final grade.
num_major_submissions_z	FLOAT	Z-score for the number of submissions classified as ‘major’, or making up a major percentage of the student’s final grade.
num_unweighted_submissions_z	FLOAT	Z-score for the number of unweighted submissions.
num_weighted_submissions_z	FLOAT	Z-score for the number of weighted submissions.
num_submissions_without_due_date_z	FLOAT	Z-score for the number of submissions without due dates.
num_submissions_with_due_date_z	FLOAT	Z-score for the number of submissions with due dates.
num_submissions_z	FLOAT	Z-score for the total number of submissions.
num_tiny_assignments_z	FLOAT	Z-score for the number of assignments classified as ‘tiny’, or making up a tiny percentage of the student’s final grade.
num_small_assignments_z	FLOAT	Z-score for the number of assignments classified as ‘small’, or making up a small percentage of the student’s final grade.
num_medium_assignments_z	FLOAT	Z-score for the number of assignments classified as ‘medium’, or making up a medium percentage of the student’s final grade.
num_large_assignments_z	FLOAT	Z-score for the number of assignments classified as ‘large’, or making up a large percentage of the student’s final grade.
num_major_assignments_z	FLOAT	Z-score for the number of assignments classified as ‘major’, or making up a major percentage of the student’s final grade.
num_unweighted_assignments_z	FLOAT	Z-score for the number of unweighted assignments.
num_weighted_assignments_z	FLOAT	Z-score for the number of weighted assignments.
num_assignments_without_due_date_z	FLOAT	Z-score for the number of assignments without due dates.
num_assignments_with_due_date_z	FLOAT	Z-score for the number of assignments with due dates.
num_assignments_z	FLOAT	Z-score for the total number of assignments.
num_tiny_missing_submissions_z	FLOAT	Z-score for the number of missing submissions classified as ‘tiny’, or making up a tiny percentage of the student’s final grade.
num_small_missing_submissions_z	FLOAT	Z-score for the number of missing submissions classified as ‘small’, or making up a small percentage of the student’s final grade.
num_medium_missing_submissions_z	FLOAT	Z-score for the number of missing submissions classified as ‘medium’, or making up a medium percentage of the student’s final grade.
num_large_missing_submissions_z	FLOAT	Z-score for the number of missing submissions classified as ‘large’, or making up a large percentage of the student’s final grade.
num_major_missing_submissions_z	FLOAT	Z-score for the number of missing submissions classified as ‘major’, or making up a major percentage of the student’s final grade.
num_unweighted_missing_submissions_z	FLOAT	Z-score for the number of unweighted missing submissions.
num_weighted_missing_submissions_z	FLOAT	Z-score for the number of weighted missing submissions.
num_missing_submissions_z	FLOAT	Z-score for the total number of missing submissions.
num_tiny_late_submissions_z	FLOAT	Z-score for the number of late submissions classified as ‘tiny’, or making up a tiny percentage of the student’s final grade.
num_small_late_submissions_z	FLOAT	Z-score for the number of late submissions classified as ‘small’, or making up a small percentage of the student’s final grade.
num_medium_late_submissions_z	FLOAT	Z-score for the number of late submissions classified as ‘medium’, or making up a medium percentage of the student’s final grade.
num_large_late_submissions_z	FLOAT	Z-score for the number of late submissions classified as ‘large’, or making up a large percentage of the student’s final grade.
num_major_late_submissions_z	FLOAT	Z-score for the number of late submissions classified as ‘major’, or making up a major percentage of the student’s final grade.
num_unweighted_late_submissions_z	FLOAT	Z-score for the number of unweighted late submissions.
num_weighted_late_submissions_z	FLOAT	Z-score for the number of weighted late submissions.
num_late_submissions_z	FLOAT	Z-score for the total number of late submissions.
avg_time_buffer_hrs_tiny_z	FLOAT	Z-score for the average submission time buffer in hours for submissions classified as ‘tiny’, or making up a tiny percentage of the student’s final grade.
avg_time_buffer_hrs_small_z	FLOAT	Z-score for the average submission time buffer in hours for submissions classified as ‘small’, or making up a small percentage of the student’s final grade.
avg_time_buffer_hrs_medium_z	FLOAT	Z-score for the average submission time buffer in hours for submissions classified as ‘medium’, or making up a medium percentage of the student’s final grade.
avg_time_buffer_hrs_large_z	FLOAT	Z-score for the average submission time buffer in hours for submissions classified as ‘large’, or making up a large percentage of the student’s final grade.
avg_time_buffer_hrs_major_z	FLOAT	Z-score for the average submission time buffer in hours for submissions classified as ‘major’, or making up a major percentage of the student’s final grade.
avg_time_buffer_hrs_unweighted_z	FLOAT	Z-score for the average submission time buffer in hours for unweighted submissions.
avg_time_buffer_hrs_weighted_z	FLOAT	Z-score for the average submission time buffer in hours for weighted submissions.
avg_time_buffer_hrs_z	FLOAT	Z-score for the average submission time buffer in hours for all submissions.
avg_published_score_pct_tiny_z	FLOAT	Z-score for the average published score percentage for submissions classified as ‘tiny’, or making up a tiny percentage of the student’s final grade.
avg_published_score_pct_small_z	FLOAT	Z-score for the average published score percentage for submissions classified as ‘small’, or making up a small percentage of the student’s final grade.
avg_published_score_pct_medium_z	FLOAT	Z-score for the average published score percentage for submissions classified as ‘medium’, or making up a medium percentage of the student’s final grade.
avg_published_score_pct_large_z	FLOAT	Z-score for the average published score percentage for submissions classified as ‘large’, or making up a large percentage of the student’s final grade.
avg_published_score_pct_major_z	FLOAT	Z-score for the average published score percentage for submissions classified as ‘major’, or making up a major percentage of the student’s final grade.
avg_score_pct_unweighted_z	FLOAT	Z-score for the average score percentage for unweighted submissions.
avg_published_score_pct_weighted_z	FLOAT	Z-score for the average published score percentage for weighted submissions.
avg_published_score_pct_without_due_date_z	FLOAT	Z-score for the average published score percentage for submissions without due dates.
avg_published_score_pct_with_due_date_z	FLOAT	Z-score for the average published score percentage for submissions with due dates
avg_published_score_z	FLOAT	Z-score for the average published score percentage for all submissions.
discussion_entry_count_z	FLOAT	Z-score for the number of discussion entries posted by the student.
discussion_post_count_z	FLOAT	Z-score for the number of discussion posts posted by the student.
discussion_reply_count_z	FLOAT	Z-score for the number of discussion replies posted by the student.
discussion_count_z	FLOAT	Z-score for the total number of discussions interacted with by the student.
assignment_discussion_count_z	FLOAT	Z-score for the total number of discussions associated with an assignment interacted with by the student.
threaded_discussion_count_z	FLOAT	Z-score for the total number of threaded discussions interacted with by the student.
side_comment_discussion_count_z	FLOAT	Z-score for the total number of side comment discussions interacted with by the student.
total_discussion_count_z	FLOAT	Z-score for the total number of discussions available in the course offering.
total_assignment_discussion_count_z	FLOAT	Z-score for the total number of discussions associated with assignments available in the course offering.
total_threaded_discussion_count_z	FLOAT	Z-score for the total number of threaded discussions available in the course offering.
total_side_comment_discussion_count_z	FLOAT	Z-score for the total number of side comment discussions available in the course offering.
avg_discussion_entry_length_z	FLOAT	Z-score for the average length of the student’s discussion entries.
avg_discussion_post_length_z	FLOAT	Z-score for the average length of the student’s discussion posts.
avg_discussion_reply_length_z	FLOAT	Z-score for the average length of the student’s discussion replies.
view_days_z	FLOAT	Z-score for the number of view days in the LMS.
num_sessions_10min_z	FLOAT	Z-score for the number of sessions in the LMS, with a 10 minute cutoff when calculating sessions.
total_time_seconds_10min_z	FLOAT	Z-score for the total time spent in the LMS in seconds, with a 10 minute cutoff when calculating sessions.
total_actions_10min_z	FLOAT	Z-score for the total number of actions in the LMS, with a 10 minute cutoff when calculating sessions.
avg_time_seconds_10min_z	FLOAT	Z-score for the average amount of time spent in the LMS in seconds, with a 10 minute cutoff when calculating sessions.
avg_actions_10min_z	FLOAT	Z-score for the average number of actions in the LMS, with a 10 minute cutoff when calculating sessions.
num_sessions_20min_z	FLOAT	Z-score for the number of sessions in the LMS, with a 20 minute cutoff when calculating sessions.
total_time_seconds_20min_z	FLOAT	Z-score for the total time spent in the LMS in seconds, with a 20 minute cutoff when calculating sessions.
total_actions_20min_z	FLOAT	Z-score for the total number of actions in the LMS, with a 20 minute cutoff when calculating sessions.
avg_time_seconds_20min_z	FLOAT	Z-score for the average amount of time spent in the LMS in seconds, with a 20 minute time cutoff when calculating sessions.
avg_actions_20min_z	FLOAT	Z-score for the average number of actions in the LMS, with a 20 minute cutoff when calculating sessions.
num_sessions_30min_z	FLOAT	Z-score for the number of sessions in the LMS, with a 30 minute cutoff when calculating sessions.
total_time_seconds_30min_z	FLOAT	Z-score for the total time spent in the LMS in seconds, with a 30 minute cutoff when calculating sessions.
total_actions_30min_z	FLOAT	Z-score for the total number of actions in the LMS, with a 30 minute cutoff when calculating sessions.
avg_time_seconds_30min_z	FLOAT	Z-score for the average amount of time spent in the LMS in seconds, with a 30 minute cutoff when calculating sessions.
avg_actions_30min_z	FLOAT	Z-score for the average number of actions in the LMS, with a 30 minute cutoff when calculating sessions.
num_tool_launches_z	FLOAT	Z-score for the total number of LTI tool launches.
num_tools_launched_z	FLOAT	Z-score for the total number of LTI tools launched.
file_views_z	FLOAT	Z-score for the number of file views.
num_files_viewed_z	FLOAT	Z-score for the number of files viewed.
course_tools_launched	ARRAY<STRING>	Array of tool names launched by the person in the course for the week
course_tools_not_launched	ARRAY<STRING>	Array of tool names not launched by the person in the course for the week
course_files_viewed	ARRAY<INTEGER>	Array of file IDs accessed by the person in the course for the week
course_files_not_viewed	ARRAY<INTEGER>	Array of file IDs not accessed by the person in the course for the week

Field Structure and Subcategories

This level 2 table has many fields, so we’ve grouped them together in the following subcategories

• Assignments

  • Submissions

  • Assignments

  • Missing Assignments

  • Late Submissions

  • Submission Time Buffer

  • Published Scores

• Discussions

  • Discussion Threads

  • Discussion Entries

• Learning Environment Activity

  • View days

  • Sessions

  • Tool Launches

  • File Views

Dependencies

The only dependency for this mart is the mart_taskforce.level1_aggregated. All calculations and fields are based on that mart, and there are no direct dependencies to the UDP itself. As long as the mart_taskforce.level1_aggregated is successfully created, this mart can also be created.

Assignment Weight Groupings

Many fields have names that include tiny, small, medium, large, and major. These classifications are based on the group_weight field in the ‘learner_activity_group’ entity. The cases are as follows:

• If the group_weight is null or equal to 0%, the submission is ‘unweighted’.

• If the group_weight is less than or equal to 2%, the submission is ‘tiny’.

• If the group_weight is greater than 2% and less than or equal to 5%, the submission is ‘small’.

• If the group_weight is greater than 5% and less than or equal to 10%, the submission is ‘medium’.

• If the group_weight is greater than 10% and less than or equal to 25%, the submission is ‘large’.

• If the group_weight is greater than 25%, the submission is ‘major’.

• If the group_weight is not null and greater than 0%, the submission is 'weighted'.

These assignment weight groupings are consistent with the groupings for the Level 1 mart.

Z-Score Fields

The majority of the schema for mart_taskforce.level2_aggregated are z-score fields based on the distribution of corresponding fields per-course, per-week in mart_taskforce.level1_aggregated. The corresponding table mart_taskforce.level2_course_weekly_distribution_summary surfaces the averages and standard deviations (per-course, per-week) needed to calculate the z-scores for this table. We use the standard normalization formula to compute the z-scores.

Assignments

Number of Submissions

Fields

• num_tiny_submissions_z

• num_small_submissions_z

• num_medium_submissions_z

• num_large_submissions_z

• num_major_submissions_z

• num_unweighted_submissions_z

• num_weighted_submissions_z

• num_submissions_without_due_date_z

• num_submissions_with_due_date_z

• num_submissions_z

Description

These fields present the Z-scores for the number of submissions by a student in a course for each week in the term. More detailed descriptions of the original submission fields exist in the documentation for mart_taskforce.level1_aggregated.

Number of Assignments

Fields

• num_tiny_assignments_z

• num_small_assignments_z

• num_medium_assignments_z

• num_large_assignments_z

• num_major_assignments_z

• num_unweighted_assignments_z

• num_weighted_assignments_z

• num_assignments_z_without_due_date

• num_assignments_z_with_due_date

• num_assignments_z

Description

These fields present Z-scores for the number of assignments for a student in a course for each week in the term. The more detailed descriptions of the original assignment fields can be found in the documentation for mart_taskforce.level1_aggregated.

Number of Missing Submissions

Fields

• num_tiny_missing_submissions_z

• num_small_missing_submissions_z

• num_medium_missing_submissions_z

• num_large_missing_submissions_z

• num_major_missing_submissions_z

• num_unweighted_missing_submissions_z

• num_weighted_missing_submissions_z

• num_missing_submissions_z

Description

These fields present Z-scores for the number of missing student submissions in a course for each week in the term. The definitions of the original missing submissions fields exist in the documentation for mart_taskforce.level1_aggregated.

Number of Late Submissions

Fields

• num_tiny_late_submissions_z

• num_small_late_submissions_z

• num_medium_late_submissions_z

• num_large_late_submissions_z

• num_major_late_submissions_z

• num_unweighted_late_submissions_z

• num_weighted_late_submissions_z

• num_late_submissions_z

Description

These fields present the Z-scores for the number of late submissions by a student in a course for each week in the term. The definitions of the original late submissions fields exist in the documentation for mart_taskforce.level1_aggregated.

Average Time Buffer in Hours

Fields

• avg_time_buffer_hrs_tiny_z

• avg_time_buffer_hrs_small_z

• avg_time_buffer_hrs_medium_z

• avg_time_buffer_hrs_large_z

• avg_time_buffer_hrs_major_z

• avg_time_buffer_hrs_unweighted_z

• avg_time_buffer_hrs_weighted_z

• avg_time_buffer_hrs_z

Description

These fields present the Z-scores for the average time buffer in hours for submissions by a student in a course for each week in the term. The definitions of the original time buffer fields exist in the documentation for mart_taskforce.level1_aggregated.

Average Published Score Percentage

Fields

• avg_published_score_pct_tiny_z

• avg_published_score_pct_small_z

• avg_published_score_pct_medium_z

• avg_published_score_pct_large_z

• avg_published_score_pct_major_z

• avg_score_pct_unweighted_z

• avg_published_score_pct_weighted_z

• avg_published_score_pct_without_due_date_z

• avg_published_score_pct_with_due_date_z

• avg_published_score_z

Description

These fields show the Z-scores for the average published score percentage of submissions by a student in a course for each week in the term. The description of the average published score fields exist in the documentation for mart_taskforce.level1_aggregated.

Discussions

Discussion Entry Counts

Fields

• discussion_entry_count _z

• discussion_post_count_z

• discussion_reply_count_z

Description

These fields present the Z-scores for the number of discussion entries posted by a student in a course for each week in the term. The definitions of the original discussion entry count fields exist in the documentation for mart_taskforce.level1_aggregated.

Discussion Counts

Fields

• discussion_count_z

• assignment_discussion_count_z

• threaded_discussion_count_z

• side_comment_discussion_count_z

Description

These fields present the Z-scores for the number of discussions a student has interacted with in a course for each week in the term. The discussion count fields used to compute these Z-scores are defined in the documentation for mart_taskforce.level1_aggregated.

Total Discussion Counts

Fields

• total_discussion_count_z

• total_assignment_discussion_count_z

• total_threaded_discussion_count_z

• total_side_comment_discussion_count_z

Description

These fields present the Z-scores for the total number of discussions in a course for a given week in the term. The definitions of the original total discussion count fields exist in the documentation for mart_taskforce.level1_aggregated.

Average Discussion Entry Length

Fields

• avg_discussion_entry_length_z

• avg_discussion_post_length_z

• avg_discussion_reply_length_z

Description

These fields present the Z-scores for the average length of the discussion entry messages for a student in a course for a given week in the term. More detailed descriptions of the average discussion entry lengths can be found in the documentation for mart_taskforce.level1_aggregated.

Learning Environment Activity

View Days

Fields

• view_days

Description

The view_days field shows the Z-score for the number of days a student viewed the learning environment for a course in a given week. The definition of the view days field exist in the documentation for mart_taskforce.level1_aggregated.

Sessions with 10, 20, and 30 Minute Cutoffs

Fields

• num_sessions_10min_z

• total_time_seconds_10min_z

• total_actions_10min_z

• avg_time_seconds_10min_z

• avg_actions_10min_z

• num_sessions_20min_z

• total_time_seconds_20min_z

• total_actions_20min_z

• avg_time_seconds_20min_z

• avg_actions_20min_z

• num_sessions_30min_z

• total_time_seconds_30min_z

• total_actions_30min_z

• avg_time_seconds_30min_z

• avg_actions_30min_z

Description

For this mart, we define sessions using three different time cutoffs: 10 minutes, 20 minutes, and 30 minutes. We define the time spent in a session by adding up the duration of events in the session. These fields present the Z-scores for the number of sessions, total time spent, total number of actions, average time spent, and average number of actions for all three time cutoffs for a student in a course for a given week in the term. The definitions of the base session, time, and action fields exist in the documentation for mart_taskforce.level1_aggregated.

Please visit our separate interaction session mart documentation page here for a visual example and more information about interaction sessions too.

Tool Launches

Fields

• num_tool_launches_z

• num_tools_launched_z

• course_tools_launched

• course_tools_not_launched

Description

These fields focus on the LTI tools launched by a student in the learning environment of a course for each week in the term. More detailed definitions of LTI launches exist in the documentation for mart_taskforce.level1_aggregated.

The course_tools_launched and course_tools_not_launched are unique to this table. Both of these fields are of type ARRAY<STRING>. The course_tools_launched array field is a concatenated list of all launch app names seen for the course, week pair for a student. The course_tools_not_launched array field is inferred based on all the launch app names launched for the course for that week across all students. The results in the course_tools_not_launched field are the launch app names that at least one other student in the class launched but the student in scope for the row did not launch.

File Views

Fields

• file_views_z

• num_files_viewed_z

• course_files_viewed

• course_files_not_viewed

Description

These fields focus on the files viewed by a student in the learning environment of a course for each week in the term. More detailed definitions of files and file views exist in the documentation for mart_taskforce.level1_aggregated.

The course_files_viewed and course_files_not_viewed are unique to this table. Both of these fields are of type ARRAY<INTEGER>. The course_files_launched array field is a concatenated list of all file IDs seen for the course and week pair for a student. The course_files_not_viewed array field is inferred based on all the file IDs viewed for the course and week across all students. The results in the course_files_not_viewed field are the file IDs that at least one other student in the class viewed but the student in scope for the row did not view.