Latent class analysis of student artefacts

City University of Hong Kong has implemented Discovery-enriched Curriculum (DEC) since 2012. Teaching staff has submitted student artefacts as the explementary evidences for DEC implementation. In this report, the data in form of student artefacts were analyzed using latent class analysis (LCA) performed in R software to show whether there is any relationship between the type of student artefacts, academic background and sources of evidences. Results showed that these student artefacts could be categorized into 4 latent classes based on their type of expression and authenticity. Students from different academic background showed different probability to 4 latent classes. Furthermore, students tended to create evidences and achieve authentic tasks, related to artistic or entrepreneurial activities, from their personal work rather than course work. Results demonstrated that under CityU DEC framework, students were able to create knowledge and make discovery in form of the outcomes classified as the 4 latent classes.