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Feeding forward on feedback: encouraging student engagement
Open University, Cardiff, United Kingdom. (LeaDS)ORCID iD: 0000-0003-1020-3568
Open University, Cardiff, United Kingdom.
2022 (English)In: The 3rd Annual STEM Teaching Conference 2022: Conference Booklet, 2022, p. 34-35Conference paper, Oral presentation with published abstract (Refereed)
Abstract [en]

Feedback from tutor marked assessments (TMA's) are a major component of the distance student learning experience.  However, a significant proportion of students do not pick up their marked TMA’s and hence miss out on these invaluable insights to inform their ongoing learning.  In 2019, this represented around 10% for all 19J modules across the University – so around 40,000 uncollected scripts which is an enormous amount of work from tutors.  

An eSTEem funded research project (Calvert and Morris, 2020) and limited to statistics modules within STEM, focused on gaining insight into the reasons why students do not take access their feedback and use this in their subsequent learning and assessments.   Common reasons for failure to pick up included forgetfulness, unawareness of availability, fear of reading negative comments and lack of student learning engagement.

During the online session, the technological approaches to monitor assignment pick-up will be demonstrated. Additionally, participants will be encouraged to research details of the pick-up rate on their modules, consider opportunities to implement such technological approaches and encourage timely forward activities with their students.

Reference:

Calvert, C. and Morris, C. (2020). “Improving student use of feedback on marked TMAs”. An OU eSTEem funded project Final Report, August 2020. Available at https://openuniv.sharepoint.com/sites/units/lds/scholarship-exchange/documents/student use of tma feedback.pdf [Accessed on 24/1/22].

 

Place, publisher, year, edition, pages
2022. p. 34-35
Keywords [en]
Learning, assessment, feedback, feedforward
National Category
Educational Sciences
Research subject
Smart Cities and Communities, LEADS
Identifiers
URN: urn:nbn:se:hh:diva-48015OAI: oai:DiVA.org:hh-48015DiVA, id: diva2:1693792
Conference
Open University STEM Teaching Conference 2022
Available from: 2022-09-07 Created: 2022-09-07 Last updated: 2025-10-01Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf