Content area

Abstract

The emergence of generative artificial intelligence (Gen AI) in education offers both opportunities and challenges, particularly in the context of student assessment. This study examines faculty members’ motivations to redesign assessments for their courses in the Gen AI era and introduces a framework for this purpose. A qualitative methodology was employed, gathering data through semi-structured interviews and focus groups, along with examples of redesigned assessments. Sixty-one faculty members participated in the study, and the data were analyzed using both deductive and inductive thematic approaches. Key motivations for redesigning assessments included maintaining academic integrity, preparing learners for future careers, adapting to technological advancements, and aligning with institutional policies. However, the study also highlighted significant challenges, such as the need for professional development and addressing equity and accessibility concerns. The findings identified various innovative assessment approaches tailored to the requirements of the Gen AI era. Based on these insights, the study developed a conceptual framework titled “Against, Avoid, Adopt, and Explore”. Future research is needed to validate this framework and further refine its application in educational contexts.

Details

1009240
Title
Redesigning Assessments for AI-Enhanced Learning: A Framework for Educators in the Generative AI Era
Author
Khlaif, Zuheir N 1   VIAFID ORCID Logo  ; Wejdan Awadallah Alkouk 2 ; Salama, Nisreen 3   VIAFID ORCID Logo  ; Belal Abu Eideh 1   VIAFID ORCID Logo 

 Faculty of Humanities and Educational Sciences, An Najah National University, Nablus P4110257, Palestine; [email protected] 
 Department of Languages and Translation, Faculty of Humanities, Birzeit University, Bir Zeit P627, Palestine; [email protected] 
 Faculty of Nursing, Arab American University, Jenin P.O. Box 840009, Palestine; [email protected] 
Publication title
Volume
15
Issue
2
First page
174
Publication year
2025
Publication date
2025
Publisher
MDPI AG
Place of publication
Basel
Country of publication
Switzerland
Publication subject
e-ISSN
22277102
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2025-02-02
Milestone dates
2024-11-27 (Received); 2025-01-27 (Accepted)
Publication history
 
 
   First posting date
02 Feb 2025
ProQuest document ID
3170872091
Document URL
https://www.proquest.com/scholarly-journals/redesigning-assessments-ai-enhanced-learning/docview/3170872091/se-2?accountid=208611
Copyright
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2025-02-25
Database
ProQuest One Academic