Learning analytic and educational data mining for learning science and technology

Learning analytics is another trendy choice for technology-enhanced learning. It not surprising, therefore, that learning the topic of many scientific papers as a new process and tool to improve performance. Some most common methods used in data mining analytics, include: classification prediction, clustering, outlier detection, relationship mining, social network analysis, text distillation human judgment, discovery with models. The use analytic education learning, generally store information related student backgrounds, about their interactions system understand how students interact resources, styles, predictions outcomes possibilities completing studies they successfully. With this study teachers school managers can develop tools apply predict success.