Analyzing learners’ online behaviour for student success and course enhancement: Case-studies from Blackboard


The large amounts of data recorded about student behavior in a learning management system (LMS) is only useful if it can be accessed, analysed and interpreted easily and on demand. In this workshop, participants will be introduced to an easy to use Excel tool developed specifically for classroom teachers to understand their students’ online activity and enhance their teaching. Activities during the workshop will allow participants to use the tool to conduct analysis of an LMS data set to produce tables, figures and visualizations about student engagement in the LMS. Case-studies will be explored to demonstrate how the indicators provided in the tool are informative and actionable for enhancing their online teaching. The case-studies and analyses will focus on helping students be more successful while studying, as well as how to use analysis of LMS data to enhance learning and the student experience for future course delivery. The tool will be made available for participants after the workshop, giving them autonomy in accessing and analyzing students’ online activity which they can use for evidence-based enhancement of their teaching.


This is a practical workshop with opportunities for participants to use the tool to analyse data and to engage in discussion about the interpretation of results and the application and relevance to their own practice. Participants will also be able to provide feedback for the future development of the tool.

Date & Time

Half day workshop


Open to anyone interested in analyzing learning management system data, although this may be more relevant to users of Blackboard

Workshop activities

Demonstrations, practice sessions, small and large group discussions and group sharing

Required equipment

Participants need a laptop or notebook running Windows 8 or above with a recent version of Excel



9.00 – 9.30 am

Welcome and introductions.

About this workshop and what you can expect to get out of it.

Background to our LMS data analysis tool and a quick demonstration

9.30 – 10.30 am

Case-study A. Using usage data to support students while studying

10.30 – 11.00 am

Morning Tea

11.00 – 11.30 am

Case-Study B. Analysing discussion post data

11.30 – 12.00 pm

Case-Study C. Understanding what predicts student success

12.00 – 12.30 pm

Summary and feedback


This workshop will be facilitated by staff from the Educational Development Centre at The Hong Kong Polytechnic University, Hong Kong:

Facilitator Link to bio

Dr Christine Armatas

Associate Director Educational Development



Ms Ada Tse

Assistant Educational Development Officer



Mr Chun Sang Chan

Assistant Educational Development Officer



Organised by : EDC