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Three instructor practices for introducing AI agents in SDPBL: foundation-first tutorials, continuous monitoring with timely intervention, and accountability for AI-generated code

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Evidence · 1 claim (1 for) · 1 study (1 design), q2 · 0 of 1 report an effect size · 1 claim rests on one study

Description

Based on their SDPBL observations, the authors recommend three approaches for instructors adopting AI agents. The foundation-first approach designates early sessions as tutorials covering fundamentals, with reference sample applications so students can "understandin g and implement- ing code independently" before extensive AI use. Continuous monitoring uses regular assessments to detect comprehension drops early, since proactive intervention proved effective in lec09. Accountability for AI-generated code uses one-on-one interviews where students explain the logic behind any code they did not manually write, helping ensure implementation speed does not compromise understanding.

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Page metadata
Field Value
type strategy
id three-instructor-practices-ai-agents-sdpbl
title Three instructor practices for introducing AI agents in SDPBL: foundation-first tutorials, continuous monitoring with timely intervention, and accountability for AI-generated code
description Based on their SDPBL observations, the authors recommend three approaches for instructors adopting AI agents.
status review
generated by process:wiki-ingest on 2026-10-11
trust unverified — no one has confirmed this page's content
sources 1 — hidetake-tanaka-2026

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