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

<p>This is the dataset associated with the paper</p> <p>Dui, L. G., Lomurno, E., Lunardini, F., Termine, C., Campi, A., Matteucci, M., &amp; Ferrante, S. (2022). Identification and characterization of learning weakness from drawing analysis at the pre-literacy stage.&nbsp;<em>Scientific Reports</em>,&nbsp;<em>12</em>(1), 21624.</p> <p>File content:</p> <ul> <li>characterizationSciRep22.xlsx: an Excel file <ul> <li>rows: subjects</li> <li>columns: <ul> <li>year of birth</li> <li>month of birth</li> <li>dominant hand (0=right, 1=left)</li> <li>sex (0=male, 1=female)</li> <li>mother tongue (0=non-Italian, 1=Italian)</li> </ul> </li> </ul> </li> <li>featureSciRep22: a Matlab file. For each sub-matrix, rows are subjects <ul> <li>&quot;dataset&quot; sub-matrix: each column is a feature computed from drawings</li> <li>&quot;names_type&quot; sub-matrix: metadata for the &quot;dataset&quot; matrix <ul> <li>column 1: feature name</li> <li>column 2: game the feature refers to</li> <li>column 3: feature type</li> </ul> </li> <li>&quot;risk_questions&quot;: each column corresponds to the answer to one of the 15 items for assessing graphical abilities. 0=not selected, 1=selected</li> <li>&quot;risk&quot;: the risk label computed from &quot;risk_questions&quot;, 0=not at risk, 1= at risk</li> </ul> </li> </ul>