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Assessment Types, Strategies, and Feedback in Online Higher Education Courses in the Age of Artificial Intelligence: Perspectives of Instructional Designers

Crossref DOI link: https://doi.org/10.1007/s11528-025-01115-8

Published Online: 2025-07-22

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Martin, Florence https://orcid.org/0000-0002-6055-5636
Kim, Stella

Bolliger, Doris U.

DeLarm, Jennifer
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Text and Data Mining valid from 2025-07-22

Version of Record valid from 2025-07-22
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Article History

Accepted: 9 July 2025

First Online: 22 July 2025

Declarations

:

: Institutional Review Board Approval was received from two institutions were authors are employed.

: Informed consent was obtained from all individual participants included in the study.

: The authors have no relevant financial or non-financial interests to disclose.

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