Challenges and Strategies of Student Management in Universities in the Context of Big Data

<table class="table-group" id="tab7"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Types of learning behaviour</td><td class="align_center">Group characteristics</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">1</td><td class="align_center">High attendance, longer study time, and fewer books on loan</td></tr><tr><td class="align_left">2</td><td class="align_center">Low attendance, short study time, and few books on loan</td></tr><tr><td class="align_left">3</td><td class="align_center">Higher attendance, longer study time, and more books on loan</td></tr><tr><td class="align_left">4</td><td class="align_center">Average attendance, less study time, and fewer books on loan</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Characteristics of student groups for managing learning behaviour.</div>

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Table 7

Table 7: Challenges and Strategies of Student Management in Universities in the Context of Big Data 