Challenges and Strategies of Social Studies Teachers in Evaluating AI-Generated Student Work
Alliah Moneth Mayuga | Juvelyn Pasahol | Justine Mae Perez
Discipline: Education
Abstract:
The growing use of artificial intelligence (AI) in education has introduced significant challenges for Social Studies
teachers, particularly in evaluating the authenticity of student output, maintaining fairness in grading, and assessing
the depth of student understanding. This study explored the challenges faced by Social Studies teachers from
purposively sampled secondary schools in Sariaya District in evaluating AI-generated student work and the strategies
they employed to address those challenges. Utilizing a descriptive survey design, data were collected from forty-seven
(47) Social Studies teachers through a validated self-structured questionnaire. Findings revealed that teachers
encounter substantial difficulty in verifying the authenticity of learning outcomes, ensuring fairness in grading, and
confirming students' independent understanding, particularly in the context of AI usage. To address these challenges,
teachers employed strategies such as originality verification methods, traditional grading strategies, and oral
presentations and discussions. The study proposed a set of policy guidelines designed to equip educators with a clear
strategy for maintaining academic integrity and promoting genuine student learning in the era of AI. The findings
emphasize the need for educational institutions to have clear and standardized policy guidelines for evaluating AIgenerated student work for Social Studies teachers in the era of AI.
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