Students were asked to reflect on the following questions, after they completed their AI-based assessments. Following are their responses:
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How did AI assist your research and structuring? Which AI did you use?
Information Retrieval & Knowledge Support: Students used ChatGPT/Gemini to find references, explanations, or summaries.
Language & Writing Support: Grammar correction, paraphrasing, sentence restructuring.
Idea Generation & Structuring: Assistance in outlining essays, suggesting argument flows, and brainstorming.
Efficiency: Time-saving in drafting and editing tasks.
Where did you disagree with AI, and why?
Accuracy Issues: AI provided outdated, incorrect, or fabricated information.
Relevance & Contextual Fit: Responses were too general or unrelated to course-specific content.
Depth of Analysis: AI lacked critical depth, nuance, or domain-specific knowledge.
Over-Simplification: Some outputs were too basic, leading students to reject them.
How did AI challenge or refine your understanding?
Prompt Reflection & Critical Thinking: Students realized the importance of refining prompts for better outputs.
Alternative Perspectives: Exposure to different explanations or frameworks helped broaden understanding.
Metacognitive Growth: Reflection on AI’s strengths/weaknesses improved students’ awareness of their own learning.
Iterative Learning: Engagement with AI encouraged reviewing, rethinking, and improving their arguments.
What ethical concerns did you encounter in using AI?
Plagiarism & Originality: Fear of producing non-original work or unintentional plagiarism.
Over-Reliance & Dependency: Concern that excessive reliance on AI reduces independent thinking.
Bias & Fairness: Recognition that AI-generated content may embed bias.
Transparency & Citation: Uncertainty about whether and how to acknowledge AI contributions.
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