London Metropolitan University offers a wide range of work related learning opportunities, some of which are project oriented and based with professional service departments within the University. In October 2017 three placement students from the School of Business and Law undertook a product review and data analysis project with the Weblearn team in order to improve the Weblearn experience for students.
As a starting point the students produced a preliminary report based on their own experiences of using Weblearn by reviewing their current teaching modules and the Weblearn resources available to them. They then produced a questionnaire to elicit responses from a wider group of students.
After reviewing their initial findings and analysing the data gather from the questionnaire, the students produced a final report which made the following conclusions:
- Weblearn is generally easy to use.
- Issues occasionally show up but only a minority of students encounter it.
- Some information can be scattered and hard to find.
- Lots of students want workshops on interpreting originality reports.
- Email and feedback are the two most used tools on weblearn.
- There is a mixed response for the use of the mobile app, some students might not be aware of it and therefore don’t use it.
The project made three recommendations about how to improve the user experience of Weblearn:
- Introducing workshops for interpreting originality reports because lots of students suggested they would attend it.
- Most people only use Weblearn 1-3 times per week, so it is recommended to make it more interactive and useful for the students in order to take advantage of the functionality it offers.
- There was some feedback that lots of students occasionally facing issues with the software working properly, developing it to reduce the bugs and make it more stable would be beneficial.
The recommendations and feedback from the project are valuable and will be used for future development of Weblearn provisions and enhancements for students.
Survey responses: 102