AI-resistant assessments in higher education
Practical insights from faculty training workshops
Bibliographic Data
| ID | 22165186 |
|---|---|
| Authors | Wejdan Awadallah Alkouk (Birzeit University), Zuheir N Khlaif (0000-0002-7354-7512, An-Najah National University, corresponding author) |
| Year | 2024 |
| Volume | 9 |
| Publication date | 2024-12-04 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Education (JOURNAL) |
| Journal identifiers | ISSN: 2504-284X • E-ISSN: 2504-284X |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/feduc.2024.1499495 |
| OpenAlex | W4405016792 |
| Language | EN |
| Citations received | 16 |
| References cited | 19 |
The emergence of generative AI in education introduces both opportunities and challenges, especially in student assessment. This paper explores the transformative influence of generative AI on assessment practices, drawing from recent training workshops conducted with educators in the Global South. It examines how AI can enrich traditional assessment approaches by fostering critical thinking, creativity, and collaboration. The paper introduces innovative frameworks, such as AI-resistant assessments and the Process-Product Assessment Approach, which emphasize evaluating not only the final product but also the student’s interaction with AI tools throughout their learning journey. Additionally, it provides practical strategies for integrating AI into assessments, underscoring the ethical use and preservation of academic integrity. Addressing the complexities of AI adoption, including concerns around academic misconduct, this paper equips educators with tools to navigate the intricacies of human-AI collaboration in learning settings. Finally, it discusses the significance of institutional policies for guiding the ethical use of AI and offers recommendations for faculty development to align with the evolving educational landscape
Creativity · Engineering ethics · Generative grammar · Knowledge management · Pedagogy · Transformative learning · Academic integrity and plagiarism · Artificial Intelligence in Healthcare and Education · Computer Science · Engineering · Ethics and Social Impacts of AI · Psychology · Artificial Intelligence
Balancing AI-assisted learning and traditional assessment
AI adoption in higher education
A critical review and actionable framework for integrating generative AI into teacher professional development
Conceptually demystifying the intersection between higher education students’ GenAI use and critical thinking
Research challenges and future perspectives for e-assessment technologies in higher education
Does generative AI narrow or widen performance gaps? a stratified quasi-experiment on reading-based continuation writing in senior high school english
Advancing higher education with GenAI
AI-affordance alignment drives authentic learning gains without foundational erosion
EFL Instructors’ Assessment Literacy for Generative AI in Saudi Higher Education
Student-Created Screencasts
Redesigning Assessments for AI-Enhanced Learning
Generative AI and Classroom Assessment
Enhancing Aigc credibility assessment in higher education
Enhancing the quality of educators’ AI competency
Exploring the Factors That Promote a Balance Between Academic Integrity and the Effective Use of GenAI Tools in Higher Education
AI-resistant and AI-resilient assessment in higher education
Generative AI
Managing the Strategic Transformation of Higher Education through Artificial Intelligence
Generative AI tools and assessment
A scoping review on how generative artificial intelligence transforms assessment in higher education
University Teachers’ Views on the Adoption and Integration of Generative AI Tools for Student Assessment in Higher Education
The future of AI and education
Race with the machines
Implementing Artificial Intelligence in Higher Education
| Citations per year | 16 |
|---|---|
| Citation span | 2025 - 2026 (2) |
| Highly cited | No |