Taskforce Mart - Level 2 Course Weekly Distribution Summary

• Interactive Mart Dependency Diagram

• Schema

• Field Structure and Subcategories

  • Dependencies

  • Assignment Weight Groupings

  • Average and Standard Deviation Fields

• Assignments

  • 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_course_weekly_distribution_summary mart aggregates data about a course's performance and activities each week and describes the activity distribution. The schema for this mart largely mirrors that of mart_taskforce.level1_aggregated and mart_taskforce.level2_aggregated; however, this mart gives averages and standard deviations for each field. Questions about "what the average student" is doing in a course can be answered with this mart.

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_course_weekly_distribution_summary

Schema

mart/taskforce/level2_course_weekly_distribution_summary

Field Name	Type	Description
udp_course_offering_id	INTEGER	The UDP ID of the course offering.
week_in_term	INTEGER	The week of the academic term.
avg_num_tiny_submissions	FLOAT	Average number of submissions classified as ‘tiny’, or making up a tiny percentage of the student’s final grade.
sd_num_tiny_submissions	FLOAT	Standard deviation for the number of submissions classified as ‘tiny’, or making up a tiny percentage of the student’s final grade.
total_tiny_submissions	INTEGER	The total number of submissions classified as ‘tiny’, or making up a tiny percentage of the student’s final grade.
num_students_tiny_submissions	INTEGER	Number of distinct person_id values for the number of submissions classified as ‘tiny’, or making up a tiny percentage of the student’s final grade.
avg_num_small_submissions	FLOAT	Average number of submissions classified as ‘small’, or making up a small percentage of the student’s final grade.
sd_num_small_submissions	FLOAT	Standard deviation for the number of submissions classified as ‘small’, or making up a small percentage of the student’s final grade.
total_small_submissions	INTEGER	The total number of submissions classified as ‘small’, or making up a small percentage of the student’s final grade.
num_students_small_submissions	INTEGER	Number of distinct person_id values for the number of submissions classified as ‘small’, or making up a small percentage of the student’s final grade.
avg_num_medium_submissions	FLOAT	Average number of submissions classified as ‘medium’, or making up a medium percentage of the student’s final grade.
sd_num_medium_submissions	FLOAT	Standard deviation for the number of submissions classified as 'medium’, or making up a medium percentage of the student’s final grade.
total_medium_submissions	INTEGER	The total number of submissions classified as ‘medium’, or making up a medium percentage of the student’s final grade.
num_students_medium_submissions	INTEGER	Number of distinct person_id values for the number of submissions classified as ‘medium', or making up a small percentage of the student’s final grade.
avg_num_large_submissions	FLOAT	Average number of submissions classified as 'large', or making up a large percentage of the student’s final grade.
sd_num_large_submissions	FLOAT	Standard deviation for the number of submissions classified as 'large', or making up a large percentage of the student’s final grade.
total_large_submissions	INTEGER	The total number of submissions classified as ‘large’, or making up a large percentage of the student’s final grade.
num_students_large_submissions	INTEGER	Number of distinct person_id values for the number of submissions classified as 'large', or making up a large percentage of the student’s final grade.
avg_num_major_submissions	FLOAT	Average number of submissions classified as 'major', or making up a major percentage of the student’s final grade.
sd_num_major_submissions	FLOAT	Standard deviation for the number of submissions classified as 'major', or making up a major percentage of the student’s final grade.
total_major_submissions	INTEGER	The total number of submissions classified as ‘major’, or making up a major percentage of the student’s final grade.
num_students_major_submissions	INTEGER	Number of distinct person_id values for the number of submissions classified as 'major', or making up a major percentage of the student’s final grade.
avg_num_unweighted_submissions	FLOAT	Average number of submissions without a defined weight.
sd_num_unweighted_submissions	FLOAT	Standard deviation for the number of submissions without a defined weight.
total_unweighted_submissions	INTEGER	The total number of submissions without a defined weight.
num_students_unweighted_submissions	INTEGER	Number of distinct person_id values for the number of submissions without a defined weight.
avg_num_submissions_without_due_date	FLOAT	Average number of submissions without a due date.
sd_num_submissions_without_due_date	FLOAT	Standard deviation for the number of submissions without a due date.
total_submissions_without_due_date	INTEGER	The total number of submissions without a due date.
num_students_submissions_without_due_date	INTEGER	Number of distinct person_id values for the number of submissions without a due date.
avg_num_submissions_with_due_date	FLOAT	Average number of submissions with a due date.
sd_num_submissions_with_due_date	FLOAT	Standard deviation for the number of submissions with a due date.
total_submissions_with_due_date	INTEGER	The total number of submissions with a due date.
num_students_submissions_with_due_date	INTEGER	Number of distinct person_id values for the number of submissions with a due date.
avg_num_submissions	FLOAT	Average number of submissions.
sd_num_submissions	FLOAT	Standard deviation for the number of submissions.
total_submissions	INTEGER	The total number of submissions.
num_students_submissions	INTEGER	Number of distinct person_id values for the number of submissions.
avg_num_tiny_assignments	FLOAT	Average number of assignments classified as ‘tiny’, or making up a tiny percentage of the student’s final grade.
sd_num_tiny_assignments	FLOAT	Standard deviation for the number of assignments classified as ‘tiny’, or making up a tiny percentage of the student’s final grade.
avg_num_small_assignments	FLOAT	Average number of assignments classified as ‘small’, or making up a small percentage of the student’s final grade.
sd_num_small_assignments	FLOAT	Standard deviation for the number of assignments classified as ‘small’, or making up a small percentage of the student’s final grade.
avg_num_medium_assignments	FLOAT	Average number of assignments classified as ‘medium’, or making up a medium percentage of the student’s final grade.
sd_num_medium_assignments	FLOAT	Standard deviation for the number of assignments classified as ‘medium’, or making up a medium percentage of the student’s final grade.
avg_num_large_assignments	FLOAT	Average number of assignments classified as ‘large’, or making up a large percentage of the student’s final grade.
sd_num_large_assignments	FLOAT	Standard deviation for the number of assignments classified as ‘large’, or making up a large percentage of the student’s final grade.
avg_num_major_assignments	FLOAT	Average number of assignments classified as ‘major’, or making up a major percentage of the student’s final grade.
sd_num_major_assignments	FLOAT	Standard deviation for the number of assignments classified as ‘major’, or making up a major percentage of the student’s final grade.
avg_num_unweighted_assignments	FLOAT	Average number of assignments without a weight.
sd_num_unweighted_assignments	FLOAT	Standard deviation for the number of assignments without a weight.
avg_num_assignments_without_due_date	FLOAT	Average number of assignments without a due date.
sd_num_assignments_without_due_date	FLOAT	Standard deviation for the number of assignments without a due date.
avg_num_assignments_with_due_date	FLOAT	Average number of assignments with a due date.
sd_num_assignments_with_due_date	FLOAT	Standard deviation for the number of assignments with a due date.
avg_num_assignments	FLOAT	Average number of assignments.
sd_num_assignments	FLOAT	Standard deviation for the number of assignments.
avg_num_tiny_missing_submissions	FLOAT	Average number of 'tiny' submissions identified as missing.
sd_num_tiny_missing_submissions	FLOAT	Standard deviation for the number of 'tiny' submissions identified as missing.
avg_num_small_missing_submissions	FLOAT	Average number of 'small' submissions identified as missing.
sd_num_small_missing_submissions	FLOAT	Standard deviation for the number of 'small' submissions identified as missing.
avg_num_medium_missing_submissions	FLOAT	Average number of 'medium' submissions identified as missing.
sd_num_medium_missing_submissions	FLOAT	Standard deviation for the number of 'medium' submissions identified as missing.
avg_num_large_missing_submissions	FLOAT	Average number of 'large' submissions identified as missing.
sd_num_large_missing_submissions	FLOAT	Standard deviation for the number of 'large' submissions identified as missing.
avg_num_major_missing_submissions	FLOAT	Average number of 'major' submissions identified as missing.
sd_num_major_missing_submissions	FLOAT	Standard deviation for the number of 'major' submissions identified as missing.
avg_num_unweighted_missing_submissions	FLOAT	Average number of unweighted submissions identified as missing.
sd_num_unweighted_missing_submissions	FLOAT	Standard deviation for the number of unweighted submissions identified as missing.
avg_num_missing_submissions	FLOAT	Average number of submissions identified as missing.
sd_num_missing_submissions	FLOAT	Standard deviation for the number of submissions identified as missing.
avg_num_tiny_late_submissions	FLOAT	Average number of 'tiny' submissions identified as late.
sd_num_tiny_late_submissions	FLOAT	Standard deviation for the number of 'tiny' submissions identified as late.
avg_num_small_late_submissions	FLOAT	Average number of 'small' submissions identified as late.
sd_num_small_late_submissions	FLOAT	Standard deviation for the number of 'small' submissions identified as late.
avg_num_medium_late_submissions	FLOAT	Average number of 'medium' submissions identified as late.
sd_num_medium_late_submissions	FLOAT	Standard deviation for the number of 'medium' submissions identified as late.
avg_num_large_late_submissions	FLOAT	Average number of 'large' submissions identified as late.
sd_num_large_late_submissions	FLOAT	Standard deviation for the number of 'large' submissions identified as late.
avg_num_major_late_submissions	FLOAT	Average number of 'major' submissions identified as late.
sd_num_major_late_submissions	FLOAT	Standard deviation for the number of 'major' submissions identified as late.
avg_num_unweighted_late_submissions	FLOAT	Average number of unweighted submissions identified as late.
sd_num_unweighted_late_submissions	FLOAT	Standard deviation for the number of unweighted submissions identified as late.
avg_num_late_submissions	FLOAT	Average number of submissions identified as late.
sd_num_late_submissions	FLOAT	Standard deviation for the number of submissions identified as late.
avg_avg_time_buffer_hrs_tiny	FLOAT	Average for the average time buffer in hours for submissions classified as 'tiny'.
sd_avg_time_buffer_hrs_tiny	FLOAT	Standard deviation for the average time buffer in hours for submissions classified as 'tiny'.
avg_avg_time_buffer_hrs_small	FLOAT	Average for the average time buffer in hours for submissions classified as 'small'.
sd_avg_time_buffer_hrs_small	FLOAT	Standard deviation for the average time buffer in hours for submissions classified as 'small'.
avg_avg_time_buffer_hrs_medium	FLOAT	Average for the average time buffer in hours for submissions classified as 'medium'.
sd_avg_time_buffer_hrs_medium	FLOAT	Standard deviation for the average time buffer in hours for submissions classified as 'medium'.
avg_avg_time_buffer_hrs_large	FLOAT	Average for the average time buffer in hours for submissions classified as 'large'.
sd_avg_time_buffer_hrs_large	FLOAT	Standard deviation for the average time buffer in hours for submissions classified as 'large'.
avg_avg_time_buffer_hrs_major	FLOAT	Average for the average time buffer in hours for submissions classified as 'major'.
sd_avg_time_buffer_hrs_major	FLOAT	Standard deviation for the average time buffer in hours for submissions classified as 'major'.
avg_avg_time_buffer_hrs_unweighted	FLOAT	Average for the average time buffer in hours for unweighted submissions.
sd_avg_time_buffer_hrs_unweighted	FLOAT	Standard deviation for the average time buffer in hours for unweighted submissions.
avg_avg_time_buffer_hrs	FLOAT	Average for the average time buffer in hours for all submissions.
sd_avg_time_buffer_hrs	FLOAT	Standard deviation for the average time buffer in hours for all submissions.
avg_avg_published_score_pct_tiny	FLOAT	Average for the average published score on assignments for submissions classified as 'tiny'.
sd_avg_published_score_pct_tiny	FLOAT	Standard deviation for the average published score on assignments for submissions classified as 'tiny'.
avg_avg_published_score_pct_small	FLOAT	Average for the average published score on assignments for submissions classified as 'small'.
sd_avg_published_score_pct_small	FLOAT	Standard deviation for the average published score on assignments for submissions classified as 'small'.
avg_avg_published_score_pct_medium	FLOAT	Average for the average published score on assignments for submissions classified as 'medium'.
sd_avg_published_score_pct_medium	FLOAT	Standard deviation for the average published score on assignments for submissions classified as 'medium'.
avg_avg_published_score_pct_large	FLOAT	Average for the average published score on assignments for submissions classified as 'large'.
sd_avg_published_score_pct_large	FLOAT	Standard deviation for the average published score on assignments for submissions classified as 'large'.
avg_avg_published_score_pct_major	FLOAT	Average for the average published score on assignments for submissions classified as 'major'.
sd_avg_published_score_pct_major	FLOAT	Standard deviation for the average published score on assignments for submissions classified as 'major'.
avg_avg_published_score_pct_unweighted	FLOAT	Average for the average published score on assignments for unweighted submissions.
sd_avg_published_score_pct_unweighted	FLOAT	Standard deviation for the average published score on assignments for unweighted submissions.
avg_avg_published_score_pct_without_due_date	FLOAT	Average for the average published score on assignments for submissions without a due date.
sd_avg_published_score_pct_without_due_date	FLOAT	Standard deviation for the average published score on assignments for submissions without a due date.
avg_avg_published_score_pct_with_due_date	FLOAT	Average for the average published score on assignments for submissions with a due date.
sd_avg_published_score_pct_with_due_date	FLOAT	Standard deviation for the average published score on assignments for submissions with a due date.
avg_avg_published_score	FLOAT	Average for the average published score on assignments for all submissions.
sd_avg_published_score	FLOAT	Standard deviation for the average published score on assignments for all submissions.
avg_discussion_entry_count	FLOAT	Average for the number of discussion entries posted by a student.
sd_discussion_entry_count	FLOAT	Standard deviation for the number of discussion entries posted by a student.
avg_discussion_post_count	FLOAT	Average for the number of discussion posts posted by a student.
sd_discussion_post_count	FLOAT	Standard deviation for the number of discussion post posted by a student.
avg_discussion_reply_count	FLOAT	Average for the number of discussion replies posted by a student.
sd_discussion_reply_count	FLOAT	Standard deviation for the number of discussion replies posted by a student.
avg_discussion_count	FLOAT	Average for the number of discussions interacted with by students.
sd_discussion_count	FLOAT	Standard deviation for the number of discussions interacted with by students.
avg_assignment_discussion_count	FLOAT	Average for the number of discussions associated with an assignment interacted with by students.
sd_assignment_discussion_count	FLOAT	Standard deviation for the number of discussions associated with an assignment interacted with by students.
avg_threaded_discussion_count	FLOAT	Average for the number of threaded discussions interacted with by students.
sd_threaded_discussion_count	FLOAT	Standard deviation for the number of threaded discussions interacted with by students.
avg_side_comment_discussion_count	FLOAT	Average for the number of side comment discussions interacted with by students.
sd_side_comment_discussion_count	FLOAT	Standard deviation for the number of side comment discussions interacted with by students.
total_discussion_count_z	FLOAT	Z-score for the total number of discussions available in the course offering.
avg_total_discussion_count	FLOAT	Average for the total number of discussions available in the course offering.
sd_total_discussion_count	FLOAT	Standard deviation for the total number of discussions available in the course offering.
avg_total_discussion_count	FLOAT	Average for the total number of discussions associated with assignments available in the course offering.
sd_total_discussion_count	FLOAT	Standard deviation for the total number of discussions associated with assignments available in the course offering.
avg_total_threaded_discussion_count	FLOAT	Average for the total number of threaded discussions available in the course offering.
sd_total_threaded_discussion_count	FLOAT	Standard deviation for the total number of threaded discussions available in the course offering.
avg_side_comment_discussion_count	FLOAT	Average for the total number of side comment discussions available in the course offering.
sd_side_comment_discussion_count	FLOAT	Standard deviation for the total number of side comment discussions available in the course offering.
avg_avg_discussion_entry_length	FLOAT	Average for the average length of a student's discussion entries.
sd_avg_discussion_entry_length	FLOAT	Standard deviation for the average length of a student's discussion entries.
avg_avg_discussion_post_length	FLOAT	Average for the average length of a student's discussion posts.
sd_avg_discussion_post_length	FLOAT	Standard deviation for the average length of a student's discussion posts.
avg_avg_discussion_reply_length	FLOAT	Average for the average length of a student's discussion replies.
sd_avg_discussion_reply_length	FLOAT	Standard deviation for the average length of a student's discussion replies.
avg_view_days	FLOAT	Average for the number of view days in the LMS.
sd_view_days	FLOAT	Standard deviation for the number of view days in the LMS.
avg_num_sessions_10min	FLOAT	Average for the number of sessions in the LMS, with a 10 minute cutoff when calculating sessions.
sd_num_sessions_10min	FLOAT	Standard deviation for the number of sessions in the LMS, with a 10 minute cutoff when calculating sessions.
avg_total_time_seconds_10min	FLOAT	Average for the total time spent in the LMS in seconds, with a 10 minute cutoff when calculating sessions.
sd_total_time_seconds_10min	FLOAT	Standard deviation for the total time spent in the LMS in seconds, with a 10 minute cutoff when calculating sessions.
avg_total_actions_10min	FLOAT	Average for the total number of actions in the LMS, with a 10 minute cutoff when calculating sessions.
sd_total_actions_10min	FLOAT	Standard deviation for the total number of actions in the LMS, with a 10 minute cutoff when calculating sessions.
avg_avg_time_seconds_10min	FLOAT	Average for the average amount of time spent in the LMS in seconds, with a 10 minute cutoff when calculating sessions.
sd_avg_time_seconds_10min	FLOAT	Standard deviation for the average amount of time spent in the LMS in seconds, with a 10 minute cutoff when calculating sessions.
avg_avg_actions_10min	FLOAT	Average for the average number of actions in the LMS, with a 10 minute cutoff when calculating sessions.
sd_avg_actions_10min	FLOAT	Standard deviation for the average number of actions in the LMS, with a 10 minute cutoff when calculating sessions.
avg_num_sessions_20min	FLOAT	Average for the number of sessions in the LMS, with a 20 minute cutoff when calculating sessions.
sd_num_sessions_20min	FLOAT	Standard deviation for the number of sessions in the LMS, with a 20 minute cutoff when calculating sessions.
avg_total_time_seconds_20min	FLOAT	Average for the total time spent in the LMS in seconds, with a 20 minute cutoff when calculating sessions.
sd_total_time_seconds_20min	FLOAT	Standard deviation for the total time spent in the LMS in seconds, with a 20 minute cutoff when calculating sessions.
avg_total_actions_20min	FLOAT	Average for the total number of actions in the LMS, with a 20 minute cutoff when calculating sessions.
sd_total_actions_20min	FLOAT	Standard deviation for the total number of actions in the LMS, with a 20 minute cutoff when calculating sessions.
avg_avg_time_seconds_20min	FLOAT	Average for the average amount of time spent in the LMS in seconds, with a 20 minute cutoff when calculating sessions.
sd_avg_time_seconds_20min	FLOAT	Standard deviation for the average amount of time spent in the LMS in seconds, with a 20 minute cutoff when calculating sessions.
avg_avg_actions_20min	FLOAT	Average for the average number of actions in the LMS, with a 20 minute cutoff when calculating sessions.
sd_avg_actions_20min	FLOAT	Standard deviation for the average number of actions in the LMS, with a 20 minute cutoff when calculating sessions.
avg_num_sessions_30min	FLOAT	Average for the number of sessions in the LMS, with a 30 minute cutoff when calculating sessions.
sd_num_sessions_30min	FLOAT	Standard deviation for the number of sessions in the LMS, with a 30 minute cutoff when calculating sessions.
avg_total_time_seconds_30min	FLOAT	Average for the total time spent in the LMS in seconds, with a 30 minute cutoff when calculating sessions.
sd_total_time_seconds_30min	FLOAT	Standard deviation for the total time spent in the LMS in seconds, with a 30 minute cutoff when calculating sessions.
avg_total_actions_30min	FLOAT	Average for the total number of actions in the LMS, with a 30 minute cutoff when calculating sessions.
sd_total_actions_30min	FLOAT	Standard deviation for the total number of actions in the LMS, with a 30 minute cutoff when calculating sessions.
avg_avg_time_seconds_30min	FLOAT	Average for the average amount of time spent in the LMS in seconds, with a 30 minute cutoff when calculating sessions.
sd_avg_time_seconds_30min	FLOAT	Standard deviation for the average amount of time spent in the LMS in seconds, with a 30 minute cutoff when calculating sessions.
avg_avg_actions_30min	FLOAT	Average for the average number of actions in the LMS, with a 30 minute cutoff when calculating sessions.
sd_avg_actions_30min	FLOAT	Standard deviation for the average number of actions in the LMS, with a 30 minute cutoff when calculating sessions.
avg_num_tool_launches	FLOAT	Average for the total number of LTI tool launches.
sd_num_tool_launches	FLOAT	Standard deviation for the total number of LTI tool launches.
avg_num_tools_launched	FLOAT	Average for the total number of LTI tools launched.
sd_num_tools_launched	FLOAT	Standard deviation for the total number of LTI tools launched.
avg_file_views	FLOAT	Average for the number of file views.
sd_file_views	FLOAT	Standard deviation for the number of file views.
avg_num_files_viewed	FLOAT	Average for the number of files viewed.
sd_num_files_viewed	FLOAT	Standard deviation for the number of files viewed.
file_ids	ARRAY<INTEGER>	Array of file IDs that have been interacted with in the course offering.
total_file_views	ARRAY<INTEGER>	Array of the number of views for each file in the course offering; aligns with the IDs in file_ids.
launch_app_names	ARRAY<STRING>	Array of tool names for which activity exists in the course offering.
total_tool_launches	ARRAY<INTEGER>	Array of the number of launches for each tool in the course offering; aligns with the strings in launch_app_names.

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’.

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

Average and Standard Deviation Fields

The majority of the schema for mart_taskforce.level2_aggregated are averages and standard deviations based on the distribution of corresponding fields per-course, per-week in mart_taskforce.level1_aggregated. The corresponding table mart_taskforce.level2_aggregated applies these averages and standard deviations (per-course, per-week) for each student and produces z-scores accordingly.

Assignments

Submissions

Fields

• avg_num_tiny_submissions

• sd_num_tiny_submissions

• total_tiny_submissions

• num_students_tiny_submissions

• avg_num_small_submissions

• sd_num_small_submissions

• total_small_submissions

• num_students_small_submissions

• avg_num_medium_submissions

• sd_num_medium_submissions

• total_medium_submissions

• num_students_medium_submissions

• avg_num_large_submissions

• sd_num_large_submissions

• total_large_submissions

• num_students_large_submissions

• avg_num_major_submissions

• sd_num_major_submissions

• total_major_submissions

• num_students_major_submissions

• avg_num_unweighted_submissions

• sd_num_unweighted_submissions

• total_unweighted_submissions

• num_students_unweighted_submissions

• avg_num_submissions_without_due_date

• sd_num_submissions_without_due_date

• total_submissions_without_due_date

• num_students_submissions_without_due_date

• avg_num_submissions_with_due_date

• sd_num_submissions_with_due_date

• total_submissions_with_due_date

• num_students_submissions_with_due_date

• avg_num_submissions

• sd_num_submissions

• total_submissions

• num_students_submissions

Description

These fields describe the distributions for the number of submissions in a course for each week in the term with 4 metrics. The 4 metrics are:

1. Average

2. Standard Deviation

3. Total counts

4. Total counts of distinct student IDs

More detailed descriptions of the original submission fields exist in the documentation for mart_taskforce.level1_aggregated.

Number of Assignments

Fields

• avg_num_tiny_assignments

• sd_num_tiny_assignments

• avg_num_small_assignments

• sd_num_small_assignments

• avg_num_medium_assignments

• sd_num_medium_assignments

• avg_num_large_assignments

• sd_num_large_assignments

• avg_num_major_assignments

• sd_num_major_assignments

• avg_num_unweighted_assignments

• sd_num_unweighted_assignments

• avg_num_assignments_without_due_date

• sd_num_assignments_without_due_date

• avg_num_assignments_with_due_date

• sd_num_assignments_with_due_date

• avg_num_assignments

• sd_num_assignments

These fields describe the distributions for the number of assignments 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

• avg_num_tiny_missing_submissions

• sd_num_tiny_missing_submissions

• avg_num_small_missing_submissions

• sd_num_small_missing_submissions

• avg_num_medium_missing_submissions

• sd_num_medium_missing_submissions

• avg_num_large_missing_submissions

• sd_num_large_missing_submissions

• avg_num_major_missing_submissions

• sd_num_major_missing_submissions

• avg_num_unweighted_missing_submissions

• sd_num_unweighted_missing_submissions

• avg_num_missing_submissions

• sd_num_missing_submissions

Description

These fields describe the distributions for the number of missing 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

• avg_num_tiny_late_submissions

• sd_num_tiny_late_submissions

• avg_num_small_late_submissions

• sd_num_small_late_submissions

• avg_num_medium_late_submissions

• sd_num_medium_late_submissions

• avg_num_large_late_submissions

• sd_num_large_late_submissions

• avg_num_major_late_submissions

• sd_num_major_late_submissions

• avg_num_unweighted_late_submissions

• sd_num_unweighted_late_submissions

• avg_num_late_submissions

• sd_num_late_submissions

Description

These fields describe the distributions 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_avg_time_buffer_hrs_tiny

• sd_avg_time_buffer_hrs_tiny

• avg_avg_time_buffer_hrs_small

• sd_avg_time_buffer_hrs_small

• avg_avg_time_buffer_hrs_medium

• sd_avg_time_buffer_hrs_medium

• avg_avg_time_buffer_hrs_large

• sd_avg_time_buffer_hrs_large

• avg_avg_time_buffer_hrs_major

• sd_avg_time_buffer_hrs_major

• avg_avg_time_buffer_hrs_unweighted

• sd_avg_time_buffer_hrs_unweighted

• avg_avg_time_buffer_hrs

• sd_avg_time_buffer_hrs

Description

These fields describe the distributions 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_avg_published_score_pct_tiny

• sd_avg_published_score_pct_tiny

• avg_avg_published_score_pct_small

• sd_avg_published_score_pct_small

• avg_avg_published_score_pct_medium

• sd_avg_published_score_pct_medium

• avg_avg_published_score_pct_large

• sd_avg_published_score_pct_large

• avg_avg_published_score_pct_major

• sd_avg_published_score_pct_major

• avg_avg_published_score_pct_unweighted

• sd_avg_published_score_pct_unweighted

• avg_avg_published_score_pct_without_due_date

• sd_avg_published_score_pct_without_due_date

• avg_avg_published_score_pct_with_due_date

• sd_avg_published_score_pct_with_due_date

Description

These fields describe the distributions 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

• avg_discussion_entry_count

• sd_discussion_entry_count

• avg_discussion_post_count

• sd_discussion_post_count

• avg_discussion_reply_count

• sd_discussion_reply_count

Description

These fields describe the distributions 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

• avg_discussion_count

• sd_discussion_count

• avg_assignment_discussion_count

• sd_assignment_discussion_count

• avg_threaded_discussion_count

• sd_threaded_discussion_count

• avg_side_comment_discussion_count

• sd_side_comment_discussion_count

Description

These fields describe the distributions for the number of discussions a student has interacted with in a course for each week in the term. The definitions of the original discussion count fields exist in the documentation for mart_taskforce.level1_aggregated.

Total Discussion Counts

Fields

• avg_total_discussion_count

• sd_total_discussion_count

• avg_total_discussion_count

• sd_total_discussion_count

• avg_total_threaded_discussion_count

• sd_total_threaded_discussion_count

• avg_side_comment_discussion_count

• sd_side_comment_discussion_count

Description

These fields describe the distributions 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_avg_discussion_entry_length

• sd_avg_discussion_entry_length

• avg_avg_discussion_post_length

• sd_avg_discussion_post_length

• avg_avg_discussion_reply_length

• sd_avg_discussion_reply_length

Description

These fields describe the distributions 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

• avg_view_days

• sd_view_days

Description

These fields describe the distributions 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

• avg_num_sessions_10min

• sd_num_sessions_10min

• avg_total_time_seconds_10min

• sd_total_time_seconds_10min

• avg_total_actions_10min

• sd_total_actions_10min

• avg_avg_time_seconds_10min

• sd_avg_time_seconds_10min

• avg_avg_actions_10min

• sd_avg_actions_10min

• avg_num_sessions_20min

• sd_num_sessions_20min

• avg_total_time_seconds_20min

• sd_total_time_seconds_20min

• avg_total_actions_20min

• sd_total_actions_20min

• avg_avg_time_seconds_20min

• sd_avg_time_seconds_20min

• avg_avg_actions_20min

• sd_avg_actions_20min

• avg_num_sessions_30min

• sd_num_sessions_30min

• avg_total_time_seconds_30min

• sd_total_time_seconds_30min

• avg_total_actions_30min

• sd_total_actions_30min

• avg_avg_time_seconds_30min

• sd_avg_time_seconds_30min

• avg_avg_actions_30min

• sd_avg_actions_30min

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 describe the distributions 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

• avg_num_tool_launches

• sd_num_tool_launches

• avg_num_tools_launched

• sd_num_tools_launched

• launch_app_names

• total_tool_launches

Description

These fields describe the distributions of the LTI tools launched by students 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 launch_app_name and total_tool_launches are unique to this table. Launch_app_name is of type ARRAY<STRING>, and total_tool_launches is of type ARRAY<INTEGER>. The launch_app_names and total_tool_launches values correspond and represent the total launches for each tool by all students in the course for the week. The values in this array aid in inferring the course_tools_not_launched field in the mart_taskforce.level2_aggregated table.

File Views

Fields

• avg_file_views

• sd_file_views

• avg_num_files_viewed

• sd_num_files_viewed

• file_ids

• total_file_views

Description

These fields describe the distribution of files accessed by students 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 file_ids and total_file_views are unique to this table. File_ids is of type ARRAY<INTEGER>, and total_file_views is of type ARRAY<INTEGER>. The file_ids and total_file_views values correspond and represent the total accesses for each file by all students in the course for the week. The values in this array aid in inferring the course_files_not_viewed field in the mart_taskforce.level2_aggregated table.