Assessment practices resistant to inappropriate AI use in Open Distance eLearning: insights from Zimbabwe Open University

The integration of artificial intelligence (AI) in education, particularly in Open Distance eLearning (ODeL) environments, has prompted concerns among educators regarding the integrity of traditional assessment methods. This issue is highlighted by students' inappropriate use of AI for academic tasks at institutions like the Zimbabwe Open University. Research efforts are underway to identify assessment practices that foster authentic learning and mitigate the misuse of AI in these settings.

Why it matters

The pervasive use of AI tools by students directly threatens academic integrity and the validity of educational outcomes across all institutions employing online and distance learning. Addressing this challenge is crucial for maintaining the credibility of qualifications and ensuring that educational processes effectively measure genuine student competence and learning.

Key insights

• AI integration into educational practices raises significant concerns among educators.
• Traditional assessment methods are perceived as vulnerable to inappropriate AI use, particularly in ODeL.
• Students are using AI to complete assignments, research articles, projects, and other formative assessments.
• There is a need to identify assessment practices that promote authentic student learning.
• Effective assessment practices are sought to minimize inappropriate AI use in ODeL environments.
• Research employs qualitative and instrumental case study designs, utilizing in-depth interviews and focus groups to gather insights.

Source

Frontiers in Education — https://www.frontiersin.org/articles/10.3389/feduc.2026.1897890