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A proposal for enhancing students’ evaluations through an adaptive and progressive digital feedback system

Students enrolled in a course are asked to complete an anonymous Student Evaluation Survey (SES) towards the end of the term that will provide the university with student feedback. The aim of the SES is to collect and use student feedback to enhance the overall design, delivery and outcomes as part course quality and enhancement processes. However, this traditional SES model is not without limitations. It has been observed that there has been a decline in responserate of SESs across universities risking insufficient sample sizes for meaningful and valid analysis. This coupled with their infrequent deployment, limited duration and inability to capture informal, time-sensitive feedback suggests that exploration into new ways of facilitating surveys is necessary. In this paper we present a work-in-progress collaborative project that proposes to augment traditional SES methods in a way that responds to the afore mentioned limitations, reimagining SESs to include regular informal weekly engagement with students.

Funding

Other

History

Editor

Chew YW; Chan KM; Alphonso A

Start Page

458

End Page

463

Number of Pages

6

Start Date

02/12/2019

Finish Date

05/12/2019

Location

Singapore

Publisher

ASCILITE

Place of Publication

Singapore

Additional Rights

CC BY 4.0

Peer Reviewed

Yes

Open Access

Yes

Era Eligible

Yes

Name of Conference

36th Australasian Society for Computers in Learning in Tertiary Education (ASCILITE 2019))