Published December 14, 2022 | Version v1

Identification and characterization of learning weakness from drawing analysis at the pre-literacy stage - DATASET

  • 1. Politecnico di Milano
  • 2. Fondazione IRCCS Istituto Neurologico Carlo Besta
  • 3. University of Insubria

Description

This is the dataset associated with the paper

Dui, L. G., Lomurno, E., Lunardini, F., Termine, C., Campi, A., Matteucci, M., & Ferrante, S. (2022). Identification and characterization of learning weakness from drawing analysis at the pre-literacy stage. Scientific Reports12(1), 21624.

File content:

  • characterizationSciRep22.xlsx: an Excel file
    • rows: subjects
    • columns:
      • year of birth
      • month of birth
      • dominant hand (0=right, 1=left)
      • sex (0=male, 1=female)
      • mother tongue (0=non-Italian, 1=Italian)
  • featureSciRep22: a Matlab file. For each sub-matrix, rows are subjects
    • "dataset" sub-matrix: each column is a feature computed from drawings
    • "names_type" sub-matrix: metadata for the "dataset" matrix
      • column 1: feature name
      • column 2: game the feature refers to
      • column 3: feature type
    • "risk_questions": each column corresponds to the answer to one of the 15 items for assessing graphical abilities. 0=not selected, 1=selected
    • "risk": the risk label computed from "risk_questions", 0=not at risk, 1= at risk

Files

SciRep22_Dui.zip

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Additional details

Related works

Is supplement to
Journal article: https://www.nature.com/articles/s41598-022-26038-9 (URL)

Funding

European Commission
ESSENCE - ESSENCE: Empathic platform to personally monitor, Stimulate, enrich, and aSsist Elders aNd Children in their Environment 101016112