The Community of Practice on Conducting Learning Analytics to Inform Teaching and Learning (CoP LA) is organising the Student Presentation Contest. 

What is LA
According to the 1st International Conference on Learning Analytics & Knowledge 2011, “learning analytics is the measurement, collection, analysis and reporting of data about learners and their contexts, for the purposes of understanding and optimizing learning and the environments in which it occurs.”

Eligibility for participation
All students can participate by filling in the online form (https://forms.office.com/r/bs7BWjdf5G).
MS forms for registration. Need to agree that the video will be viewed by CoP LA members.
Video file types include the following file formats: .avi, .mp4, .mov, .wmv, .asf, .3g2, .3gp, .asx, .flv, .mpg, .rm, .swf and .vob.

Requirements on the presentation
You can read the one of the four papers as shown below, make a presentation and record it with a 10-15 minutes video.

Paper 1
Aljohani, Daud, A., Abbasi, R. A., Alowibdi, J. S., Basheri, M., & Aslam, M. A. (2019). An integrated framework for course adapted student learning analytics dashboard. Computers in Human Behavior, 92, 679–690.
https://doi.org/10.1016/j.chb.2018.03.035
https://julac.hosted.exlibrisgroup.com/permalink/f/97ejsn/TN_cdi_proquest_journals_2181758305

Paper 2
Lawson, Beer, C., Rossi, D., Moore, T., & Fleming, J. (2016). Identification of 'at risk' students using learning analytics: the ethical dilemmas of intervention strategies in a higher education institution. Educational Technology Research and Development, 64(5), 957–968.
https://doi.org/10.1007/s11423-016-9459-0
https://julac.hosted.exlibrisgroup.com/permalink/f/97ejsn/TN_cdi_proquest_journals_1830017236

Paper 3
Li, Ren, Y., Wei, T., Wang, C., Liu, Z., & Yue, J. (2020). A Learning Attention Monitoring System via Photoplethysmogram Using Wearable Wrist Devices. In Artificial Intelligence Supported Educational Technologies (pp. 133–150). Springer International Publishing.
https://doi.org/10.1007/978-3-030-41099-5_8
https://julac.hosted.exlibrisgroup.com/permalink/f/97ejsn/TN_cdi_springer_books_10_1007_978_3_030_41099_5_8

Paper 4
Zhao, Chen, K., Liu, Z., Song, J., Zhu, X., Xiao, M., Caulfield, B., & Namee, B. M. (2020). Augmented: Academic Performance Prediction Based on Digital Campus. In Artificial Intelligence Supported Educational Technologies (pp. 193–207). Springer International Publishing.
https://doi.org/10.1007/978-3-030-41099-5_11
https://julac.hosted.exlibrisgroup.com/permalink/f/97ejsn/TN_cdi_springer_books_10_1007_978_3_030_41099_5_11

Other paper related to LA
If you want to present other paper which is related to LA, you can provide the details in the online form.

Students submit a 10-15 mins video to present the paper.

• Overview of the paper
• Lesson learnt/reflection

Award
First prize: 8.3 inch iPad mini 64GB
Second prize: HKD$ 500 voucher
Third prize: HKD$ 300 voucher
Merit prize: A certificate

Deadline
14 June 2022

Selection of Winners
Shortlisted students will be invited to present in the CoP LA meeting. Voting will be made during the meeting to select the winners of the presentation.

You can also read the email sent by cop.notice@polyu.edu.hk and copla@polyu.edu.hk
about what upcoming events will be organized.