Justify GenAI integration through a when-how-why framework: proven contexts, specific implementation methods, and pedagogical reasoning¶

Strategy · All strategies
Evidence · 3 claims (3 for) · 1 study (1 theoretical), q1 · 0 of 1 report an effect size · 3 claims rest on one study

Description¶

The article proposes that responsible actors develop an argument for "when, how, and why" GenAI can be used for educational purposes. "When" refers to the specific learning environments and contexts where GenAI tools have proven effective; "How" addresses the specific tools and methods for implementation; "Why" enforces the pedagogical reasoning and theoretical reflection necessary for integration. The strategy also includes preparing students to use GenAI productively for learning "in the wild", since constraints in one context may be offset by access elsewhere.

Design Implications¶

Context¶

Requirements¶

• Sound, replicable discipline-based and general research adhering to established learning theory before infusion of GenAI tools

Constraints¶

• To date, no conclusive evidence has been gathered regarding when, how, and why GenAI should be implemented in educational institutions

Target Learners¶

• STEM learners
• Teachers and instructors
• Education policy makers and institutional leaders

Target Learning Goals¶

• Active and reflective STEM learning supported by pedagogically justified technology use

Affordances¶

• Systemic Three Level Genai Perspective

Claims¶

• Many current GenAI applications in STEM education conflate learning with performance and feedback, neglecting active, reflective, and embodied learning processes [+W]
• Documented GenAI-related challenges to active learning include cognitive debt, metacognitive laziness, unreflected acceptance, and overreliance on GenAI access [+W]
• Current GenAI tools are not designed to support active learning and their apparent domain expertise is brittle [+W]

Related Strategies¶

• Adopt a roadmap for ethical CAI implementation in education
• Challenge candidate digital technologies against a learning-based pedagogical framework before adoption

Examples¶

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Key Sources¶

• Peter Wulff and Marcus Kubsch. (2025). Learning against the machine: the double edged sword of (Gen)AI in STEM education. International Journal of STEM Education 12:66. https://doi.org/10.1186/s40594-025-00588-6