
<span>Educational mining is an evolving trend in research capacity that<br /><span>deals with the growth of tools and techniques to discover hidden<br /><span>pattern lying in the data in an educational context. Mining is helping<br /><span>all the educational stakeholders working in different lines of<br /><span>education. It is helping administrators to manage resources effectively<br /><span>and faculty to analyze students’ performance, their learning behavior,<br /><span>and to predict their future path. Problem definition, data gathering<br /><span>and preparation, model building and evaluation, and knowledge<br /><span>development are the four steps typically involve in educational<br /><span>mining.</span></span></span></span></span></span></span></span></span><br /><br class="Apple-interchange-newline" /></span>
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
