Grade Prediction in Blended Learning Using Multisource Data

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Semester/grade</td><td class="align_center">Preclass preview</td><td class="align_center">Classroom performance</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">Fall semester 2017-2018 (grade-1)</td><td class="align_center">25</td><td class="align_center">9</td></tr><tr><td class="align_left">Fall semester 2018-2019 (grade-2)</td><td class="align_center">27</td><td class="align_center">16</td></tr><tr><td class="align_left">Fall semester 2019-2020 (grade-3)</td><td class="align_center">26</td><td class="align_center">15</td></tr><tr><td class="align_left">Fall semester 2020-2021 (grade-4)</td><td class="align_center">26</td><td class="align_center">11</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Data composition of the Rain Classroom.</div>

Scientific Programming

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Table 2

Table 2: Grade Prediction in Blended Learning Using Multisource Data 