Evaluating and Producing Information in AI-Mediated Environments

This module brings together a sequence of assignments that engage learners in critically evaluating and ethically producing information in digital and AI-mediated environments. It begins with discussion-based activities that introduce key ethical questions related to generative AI, including authorship, bias, originality, and responsibility. These discussions provide a foundation for understanding the broader implications of AI in creative and communicative contexts.

Grounded in Metaliteracy Goal 2, the module emphasizes the interconnected roles of learners as both consumers and producers of information. Learners then move into writing-based and applied activities where they compare their own work with AI-generated output and evaluate AI feedback, providing a concrete foundation for assessing accuracy, attribution, and quality.

The module continues with comparative analysis of multiple AI-generated outputs, where learners identify patterns, assumptions, and differences in quality across responses. These activities support increasingly sophisticated forms of critical judgment and analysis.

The module concludes by returning to discussion-based ethical inquiry, drawing on examples from multiple disciplines to deepen understanding of how AI shapes information environments. This structure reinforces the relationship between hands-on evaluation and broader ethical responsibility.

Artificial intelligence is central to this module as both a topic of inquiry and a context for practice. Learners examine how generative AI shapes creative processes and communication while considering issues such as bias, misinformation, intellectual property, and accountability. The focus is not on technical use, but on developing a critical and ethical stance toward AI-mediated content.

While developed within writing, communication, and digital media contexts, these assignments are adaptable across disciplines and educational settings. The module provides multiple entry points for instructors to integrate evaluation, analysis, and ethical reasoning into their courses.

Module Takeaways

Aligned with Metaliteracy Goal 2 and Bloom’s Taxonomy

This module supports learners to:

• Recognize themselves as both consumers and producers of information. Understand
• Evaluate AI-generated and human-created content for credibility, bias, and quality. Analyze / Evaluate
• Analyze how AI influences the creation, interpretation, and circulation of information. Analyze
• Apply ethical principles such as transparency, attribution, and responsible use in their own work. Apply
• Assess their responsibility in producing and sharing information in AI-mediated contexts. Evaluate