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Oliver, 2010 July
Define target audience Decide on stastistics Make Data Requests Chase data requests Collate Data Check the data Run analysis Produce report Deliver 1st draft of report
Internal to Southampton Solent University
External
Dean and Assistant Dean
Subject lecturers
Public relations and Marketing
Mode, Median, Mean
Discreet or continuous variables
Normal distribution
Chi squared, null hypothesis
Discuss suitable format for the reports with faculty managers and course leaders
Which statistics would be appropriate ?
Drop out rate
Degree results 1sts, 2.1, 2.2, 3rds
Masters results : number of distinctions
Vocational courses
Request the data extract or access to database from IT
Construct one or more queries. Maybe link data from different tables / systems.
Manipulate the data to obtain a data set
suitable to run the statistics on.
Use a stats package or do by hand or using Excel functions.
Use a student id rather than a name, maybe generate a new key field
So that students can't be individually identified by the student id
If the data is grouped need an audit trail back to starting point
Show initial reports to faculty managers and course leaders and request feedback, customisation
Add / Remove columns, further analysis
Are all the sections of the data complete ?
Are they consistent, do parts of the data contradict each other ?
How are nulls treated, no data, N/A, no
shows for exam
Comma delimited, xml, flat file,
excel, .mdb, blogs, Wikis Research : Wikipaedia versus journals
Tools for mapping data sets, eg Apatar forge
Co-worker, line manager
Sanity check, totals etc.
Agile techniques, code peer review
Investigate anomalies
Hard copy, Access report, email, web page,
Interactive web page linked to data, mySql, PHP, Java
Confidence limits 95%
For subject lecturers 5 Technology Subject Groups:
Communications Engineering, Computing, Design, Engineering and Construction, Maritime and Coastal Studies
Faculty as a whole
Architecture Business IT Civil Engineering Computer Networking Computing Construction Electrical/Electronic Engineering Engineering (General) Interior Design Mechanical Engineering Media Technology Music and Music Technology Outside Broadcasting Surveying
What are the key performance indicators ?
Career outcomes, did the course help job prospects ?
Meeting learning objectives 360 students, lecturers, exam boards, employers
Qualitative data - stories of students
Quantitative data - pass rate, number of distinctions
Complaints - modular choice, overlap Level - too technical, not technical enough Drop out rates
Raising status of the organisation,
Helping to meet social or research objectives
Helping to meet staff development
objectives Time spent online to student portal ? Amount of portal interaction between
students and teachers ?
Social presence, tweets, webcam, video phone, skype
Mandatory number of postings per week ?
In online coursed, terms such as communities of inquiry, communities of learners, and knowledge-building communities have evolved.
Improvement from knowledge / educational level at
course entry Endowments and annual giving from past students
Define target audience Decide on stastitistics Make Data Requests Chase data requests Collate Data Check the data Run analysis Produce report Deliver 1st draft of report
Any questions welcome
Thanks Olly
http://obromley.deoss.net/web/index/course_performance.htm