Original Research
Rethinking Assessment in the AI Era: Emerging Challenges and Responses
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The widespread adoption of generative artificial intelligence (AI) has prompted renewed attention to how academic writing should be assessed in higher education. While AI supports multilingual writers throughout the writing process, it also challenges traditional product-based assessment by obscuring students' learning, authorship, and decision-making. Guided by Sociocultural Theory, this qualitative descriptive study explored how assessment can be redesigned for AI-mediated academic writing. Data included classroom reflections, student writing artifacts, multiple drafts, revision records, and AI-supported writing activities. Data was analyzed using Braun and Clarke’s (2023) Reflexive Thematic Analysis. Thematic analysis generated six interconnected themes that reconceptualize assessment as the documentation of learning rather than the evaluation of final products alone. The findings suggest that process-oriented assessment, including scaffolded drafting, revision histories, reflective writing, AI-use disclosures, and ongoing feedback, provides richer evidence of students' cognitive engagement, ethical source use, and writing development. The study proposes a process-oriented assessment framework that promotes transparency, responsible AI use, learner accountability, and more authentic assessment in multilingual writing classrooms.
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Keywords
Generative Artificial Intelligence; AI Literacy; Process-Oriented Assessment; Academic Writing
Author(s) Information
Publisher’s Note
The claims, arguments, and counter-arguments made in this article are exclusively those of the contributing authors. Hence, they do not necessarily represent the viewpoints of the authors’ affiliated institutions, or EUROKD as the publisher, the editors and the reviewers of the article.
Acknowledgements
The author is grateful to the editor and the anonymous reviewers for their careful evaluation of the manuscript and for their thoughtful suggestions. Their constructive comments were invaluable in strengthening the quality and clarity of this work.
Funding
No external funding was received for this research.
CRediT Authorship Contribution Statement
Laila Noor: Conceptualization, Methodology, Investigation, Data Curation, Formal Analysis, Visualization, Writing, Original Draft, Writing, Review & Editing
Generative AI Use Disclosure Statement
ChatGPT (OpenAI) was used solely to assist with language refinement, including improvements to grammar, clarity, organization, and readability, as well as for figure creation. It was not used for the conceptualization of the study, literature synthesis, research design, data analysis, interpretation of findings, or the development of scholarly arguments. The author assumes full responsibility for the accuracy, integrity, and intellectual content of the manuscript.
Ethics Declarations
World Medical Association (WMA) Declaration of Helsinki–Ethical Principles for Medical Research Involving Human Participants
This study involved classroom-based educational research with advanced English learners and writing instructors in a U.S. higher education context. Participation and the use of classroom-generated data were conducted with appropriate attention to participant privacy, confidentiality, and ethical research practices. All data used for research purposes were anonymized to protect participants’ identities. The study did not involve medical research, clinical intervention, or experimentation and therefore did not involve the types of medical procedures addressed by the World Medical Association Declaration of Helsinki.
Competing Interests
The author declares that there are no conflicts of interest related to this study.
Data Availability
The data underlying this study are available from the corresponding author upon reasonable request.