Self-orchestrated learning in an ‘open access’ feedback environment: Providing comparators, calibration, modelling recipience and supporting feedback use
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Standard Standard
Self-orchestrated learning in an ‘open access’ feedback environment: Providing comparators, calibration, modelling recipience and supporting feedback use. / Wood, James.
Advance HE Assessment Symposium 2023 . 2023.
Advance HE Assessment Symposium 2023 . 2023.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
HarvardHarvard
Wood, J 2023, Self-orchestrated learning in an ‘open access’ feedback environment: Providing comparators, calibration, modelling recipience and supporting feedback use. in Advance HE Assessment Symposium 2023 .
APA
Wood, J. (2023). Self-orchestrated learning in an ‘open access’ feedback environment: Providing comparators, calibration, modelling recipience and supporting feedback use. In Advance HE Assessment Symposium 2023
CBE
Wood J. 2023. Self-orchestrated learning in an ‘open access’ feedback environment: Providing comparators, calibration, modelling recipience and supporting feedback use. In Advance HE Assessment Symposium 2023 .
MLA
Wood, James "Self-orchestrated learning in an ‘open access’ feedback environment: Providing comparators, calibration, modelling recipience and supporting feedback use". Advance HE Assessment Symposium 2023 . 2023.
VancouverVancouver
Wood J. Self-orchestrated learning in an ‘open access’ feedback environment: Providing comparators, calibration, modelling recipience and supporting feedback use. In Advance HE Assessment Symposium 2023 . 2023
Author
RIS
TY - GEN
T1 - Self-orchestrated learning in an ‘open access’ feedback environment: Providing comparators, calibration, modelling recipience and supporting feedback use
AU - Wood, James
PY - 2023/11/7
Y1 - 2023/11/7
M3 - Conference contribution
BT - Advance HE Assessment Symposium 2023
ER -