Our Community > Intended Learning Outcomes

Through participation in this CoP, members should be able to:

  1. Develop an appropriate understanding of the role of learning analytics for teaching and learning enhancement;
  2. Explore learning analytics within the teaching context for informing course development and improving classroom instruction, online pedagogy, and learning outcomes of students; and
  3. Share experience with other colleagues to promote the use of learning analytics to improve pedagogy and course/programme design.

Examples of the application of learning analytics to improve pedagogy include:

  • the LCR review conducted by ELC. The learning analytics study showed that weaker students (Level 3 in DSE English) performed better than stronger students (Level 4 in DSE English) in speaking in the same LCR course. This finding shows that the effort to help DSE level 3 students improve their speaking skills has been worthwhile. The subject leaders will now focus on exploring concrete ways to further improve DSE level 3 students’ writing skills, such as introducing more writing functions in the subject.
  • analysis of learning management system usage logs and assessment results to produce a subject report for teachers to use to identify underperforming students and students at risk of failing a subject. This report has been initiated by AVP(L&T) and is to be trialed with subjects with large class enrolments for this semester.
  • analysis conducted by EDC of SFQ scores to investigate the relationship between students’ satisfaction with teaching in large classes and the use of active learning techniques in class. This analysis showed a positive effect on student satisfaction with teaching for classes where active learning techniques are used and this finding was used to support a new policy on the use of active learning at PolyU for classes of 200 or more.
  • using learning management system data to understand the impact of training on teachers’ online teaching which has been used to inform training provision and recommendations for online and blended learning design of course.
  • analysis of admission scores, library records and students’ choice of free electives to understand the profile of outstanding students.