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Driving forward University Strategy: Benchmarking TEL Growth in
Blackboard Learn
Mark Gamble
University of Bedfordshire, UK
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• 23,000 students, 2 main campuses• 100+ countries represented• 46% of students aged over 25 years• 4 Faculties, 26 Departments
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Background
• Strategy intended to drive an increase in use of Technology-Enhanced Learning
• Reporting to Heads of Department, starting 2008/9
• Data Sources, Range, Volume, Complexity• Simple, Meaningful, Visually Powerful
= a single value for TEL ‘Modeness’a single value for Activity
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3-Step Process
Run 6-part query to retrieve
data from the Bb
database
6 .csv files per year
Import into MS ACESS
database to
aggregate and
simplify data
1 .xls filefor all units
Separate into dept sheets in
workbook, create scatter graphs
1 animated .ppt file
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Separate into dept sheets in
workbook, create scatter graphs
1 animated .ppt file
file
Import into MS ACESS
database to
aggregate and
simplify data
1 .xls file6 .csv files per year
Run 6-part query to
retrieve data from the Bb
database
Step 1
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1. Selection of course details including id, name, and availability – selected from course_main table
select course_name, course_id,row_status, available_ind, pk1 from course_main where course_id like '10-11%'
2. Counting the number of student users who exist within the courses – selected from the course_users table
select course_main.course_id, count(course_users.users_pk1)
from course_users, course_main, users
where
course_main.pk1=course_users.crsmain_pk1
and course_users.users_pk1=users.pk1
and course_id like '10-11%'
and course_users.role='S'
and users.ROW_STATUS=0
group by course_id
Queries
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3. Counting the number of different content types within each course (includes file names, differing content types e.g. wiki, blog, Turnitin assignments, media files, folders); uses the x-content type field from course_contents
select course_id, cnthndlr_handle as "Content Type", count(cnthndlr_handle) as "Content type total"
from course_contents, course_main
where
course_main.pk1 = course_contents.crsmain_pk1
and course_id like '10-11%'
group by course_id, cnthndlr_handle
4. Counting the number of active discussion boards (active is defined as having posts as opposed to being extant)
select course_id, count (msg_main.pk1) as "Messages"
from forum_main, conference_main, conference_owner, msg_main, course_main
where
(forum_main.confmain_pk1=conference_main.pk1)
and (conference_main.CONFERENCE_OWNER_PK1=conference_owner.pk1 )
and (msg_main.FORUMMAIN_PK1=forum_main.pk1 )
and (owner_pk1 = course_main.pk1)
and (course_id like '10-11%')
group by course_id
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5. Counting the number of hits from student users in the activity accumulator for each active course – uses course_main, course_users and activity accumulator table (activity_accumulator table from BB60_Reports database not main DB).
select bb_bb60.course_main.course_id, count(bb_bb60_stats.activity_accumulator.course_pk1) as "Course Hits"
from bb_bb60.course_main, bb_bb60_stats.activity_accumulator, bb_bb60.course_users
where
bb_bb60.course_main.pk1 = bb_bb60_stats.activity_accumulator.COURSE_PK1
and bb_bb60.course_main.course_id like '10-11%'
and bb_bb60.course_users.users_pk1 = bb_bb60_stats.activity_accumulator.user_pk1
and bb_bb60.course_main.pk1=bb_bb60.course_users.CRSMAIN_PK1
and bb_bb60.course_users.role='S'
group by course_id
6. Counting the number of Announcements for each active course
select course_main.course_id, count(announcements.pk1) as "An Count"
from announcements, course_main
where
(course_main.pk1=announcements.CRSMAIN_PK1)
and (course_main.COURSE_ID like '11-12%')
group by Course_id
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Raw Data – 6 files
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Run 6-part query to retrieve
data from the Bb
database
6 .csv files per
year
Separate into dept sheets in
workbook, create scatter graphs
1 animated .ppt file
file
Import into MS ACESS
database to aggregate
and simplify data
1 .xls file
Step 2
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Coping with content types
Q - How can we arrive at a sensible list of content type which we can arrange into a scoring system?
A – We remap groups of content types
Our item typeThe content type in BBoard
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How do we count Items?
Score Per Item
MaximumScore
Three types of blog reduced to one type (via aggregation). For blogs we say the score per item is 5 up to maximum 30
The Access formula is: if (Content Total * Score Per Item) > MaxScore then
Set value as maximum score else (it is smaller)
set value as Content Total * Score Per Item
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Non-Content Items
Announcements and Discussion Boards are not ‘content’ as such• The tool is written in such a way that it is possible
to make up a content type– e.g. x-content-bananas
• We take query 4 (message = discussion board) and query 6 (announcements) and make an entry in the list of content, before it is counted, using the following types:– resource/x-bb-activeDBoard and– resource/x-bb-announce
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Item Scoring List
File types weighted by TEL importance and maximum score capped
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Simplified, 2-part Dataset4 years, 26 Depts
7,095 rows on a spreadsheet
Queries 1 – 6 from Bb database
Queries 1 – 6 from Bb database
Queries 1 – 6 from Bb database
Queries 1 – 6 from Bb database
Queries 1 – 6 from Bb database
Queries 1 – 6 from Bb database
All data sources
List associating unit MOD codes
with departments
11-12S2AAXYZ001-2
List associating departments with faculties
List simplifying content types to consider + scores
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Run 6-part query to retrieve
data from the Bb
database
6 .csv files per
year
Import into MS ACESS
database to
aggregate and
simplify data
1 .xls file
Separate into dept sheets
in workbook, create scatter
graphs
1 animated ppt file
Step 3
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‘Interesting’ Aspects….
• Assigning units to correct department, especially where there are units offered across courses from more than one discipline
• Needing to cope with occasional departmental restructuring
• Provides no pedagogical interpretation for what is happening, but we cross-link with Unit Student Perception Survey