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Shard elevator ride smartphone acceleration dataset with AIRIS-structured student guide

Design · All designs
Evidence · no claims cited

Description

A concrete classroom task in which a smartphone recorded vertical acceleration during a downward elevator ride in the Shard (London) from floor 34 to the ground floor, held vertically against the elevator wall so only the y-component is meaningful. The dataset is released with the paper: "the dataset is provided with this paper, and the same AIRIS structure applies to any phenomenon that can be measured, modelled, and interpreted". Students predict, delegate visualization and integration to AI, then interpret and reflect.

Design Implications

Context

Requirements

  • No access to the Shard or any moving vehicle is required because the dataset is supplied
  • Conceptual knowledge of acceleration, numerical integration, and kinematic relations must be established through prior instruction

Constraints

  • The sensor data required correction for a systematic offset, determined as the mean acceleration during the constant-velocity interval from 15 s to 20 s (a_offset = 0.042 m/s2)

Target Learners

  • introductory physics students

Learning Goals

  • characterizing motion from real acceleration data
  • relating a-t, v-t, and s-t representations

Claims

Patterns Used

Examples

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Key Sources

  • Jochen Kuhn, Stefan Küchemann, David J. Rakestraw, & Patrik Vogt. (2026). It's Not the Tool, It's the Task: A Framework for Cognitively Activated AI Augmentation in Physics Instruction.
Page metadata
Field Value
type design
id shard-elevator-acceleration-ai-task
title Shard elevator ride smartphone acceleration dataset with AIRIS-structured student guide
description A concrete classroom task in which a smartphone recorded vertical acceleration during a downward elevator ride in the Shard (London) from floor 34 to the ground floor, held vertically against the elevator wall so only...
status review
generated by process:settle-candidates on 2026-10-10
trust unverified — no one has confirmed this page's content
sources 1 — jochen-kuhn-2026

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