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metadata language: English

Active physics learning data 2016 - 2016, UCL, NYU and MIT

Resource Type
Dataset : aggregate data, experimental data, survey data
  • Bramley, Neil (NYU)
  • Gerstenberg, Tobias (MIT)
  • Gureckis, Todd (NYU)
  • Tenenbaum, Joshua (MIT)
Publication Date
Free Keywords
Mechanical Turk; Behavioral research
  • Abstract

    In these experiments we bring together research on active learning and intuitive physics to explore how people actively about physical properties in "microworlds" with continuous spatiotemporal dynamics. In two experiments, participants interacted with objects in simulated two-dimensional microworlds governed by a real-time physics engine, with the goal of identifying latent physical properties of the objects in the scenes, such as their masses, and forces of attraction or repulsion. We find an advantage for active learners over passive and yoked controls, and show that active learners generate evidence specific to whatever physical property it is their goal to identify. Consequently, yoked learners do better when asked to identify the same property. Our active participants spontaneously performed various "natural experiments" which revealed the objects' properties with varying success. In our research papers we highlight, and begin to and formalize these experiments, and finally outline further steps to categorize and explore active learning in the wild.
  • Technical Information

    Response Rates: N/A
Temporal Coverage
  • 2016-01-18 / 2017-05-19
    Time Period: Mon Jan 18 00:00:00 EST 2016--Fri May 19 00:00:00 EDT 2017
Geographic Coverage
  • United States of America
Sampled Universe
Adult noninstitutionalized population of the United States living in households.
Collection Mode
  • web-based survey~~


Update Metadata: 2018-12-18 | Issue Number: 2 | Registration Date: 2018-11-28

Bramley, Neil; Gerstenberg, Tobias; Gureckis, Todd; Tenenbaum, Joshua (2017): Active physics learning data 2016 - 2016, UCL, NYU and MIT. Version: 1. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset.