GenAI learning interfaces should actively scaffold monitoring, evaluation, and AI-shaping behaviors adolescents may not bring to the interaction on their own¶

Strategy · All strategies
Evidence · no claims cited

Description¶

Based on the finding that students' interactions were request-dominated with near-absent monitoring and evaluation, the article recommends that "the results point toward GenAI learning interfaces that actively scaffold the monitoring, evaluation, and AI-shaping behaviors that adolescents may not yet bring to the interaction on their own." This means interface-level supports prompting learners to make comprehension needs visible, check AI responses against their goals, and impose scaffolding constraints such as requesting hints rather than answers. The article frames this as informing "scaffolds for more agentic and epistemically proactive GenAI use."

Design Implications¶

Context¶

Requirements¶

• Interface designs must target behaviors students do not spontaneously enact, per the study's process data

Constraints¶

• Grounded in a single-session, work-in-progress study with provisional AI-coded results

Target Learners¶

• adolescent secondary-school students using GenAI tutors

Target Learning Goals¶

• self-regulated learning, instrumental help-seeking, and epistemic vigilance during AI-supported learning

Affordances¶

• Turn Level Genai Srl Hs Codebook

Related Strategies¶

• Scaffold question formulation and active help-seeking in AI-supported tutoring systems
• Use the special issue's design-process questions to shape new SRL scaffolds

Examples¶

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Key Sources¶

• Rania Abdelghani, Peter Kaiser, and Kou Murayama. (2026). Regulating the AI Tutor: Intentions, Help-Seeking, and Self-Regulated Learning in Adolescent GenAI Use. Accepted at the NextGen Learning Interfaces Workshop, AIED 2026. https://arxiv.org/abs/2606.08568