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14-week localized, adaptive AI-PBL intervention for computer robotics programming

Design · All designs
Evidence · 2 claims (2 for) · 1 study (1 causal), q2 · 1 of 1 report an effect size · 2 claims rest on one study

Description

The intervention integrated AI tools into problem-based learning over 14 weeks (42 instructional hours) for first-year computer education students. "Localized" emphasizes grounding projects in authentic, context-specific challenges such as maze navigation, assistive robotics, recycling, and search-and-rescue tasks. "Adaptive" highlights the dynamic role of AI tools—ChatGPT for idea generation, debugging, and decision logic, and Teachable Machine for training classifiers—that provided iterative feedback and cognitive scaffolding. Students designed a line-following robot, a service robot for visually impaired individuals, a recycling-sorting robot, and a search-and-rescue robot, with Arduino kits providing tactile programming experience.

Design Implications

Context

Requirements

  • Robotics kits and AI tools (ChatGPT, Teachable Machine) available; students shared in groups because the robotics tools would not be enough for each individual

Constraints

  • The control group received traditional lecture-based teaching on the same content without AI integration

Target Learners

  • First-year undergraduate students in a Computer Education programme

Learning Goals

  • Computational thinking
  • Robotics programming skills
  • Machine learning concepts

Claims

Examples

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Key Sources

  • Ayanwale, M. A., & Omeh, C. B. (2026). AI-supported problem-based learning for enhancing computational thinking skills in STEM education. Computers in Human Behavior: Artificial Humans 7 (2026) 100263. https://doi.org/10.1016/j.chbah.2026.100263
Page metadata
Field Value
type design
id ai-pbl-14-week-robotics-intervention
title 14-week localized, adaptive AI-PBL intervention for computer robotics programming
description The intervention integrated AI tools into problem-based learning over 14 weeks (42 instructional hours) for first-year computer education students.
status review
generated by process:settle-candidates on 2026-10-12
trust unverified — no one has confirmed this page's content
sources 1 — ayanwale-2026

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