In this era of computerization, education has also revamped itself and is not limited to old lecture method. The regular quest is on to find out new ways to make it more effective and efficient for students. Nowadays, lots of data is collected in educational databases, but it remains unutilized. In order to get required benefits from such a big data, powerful tools are required. Data mining is an emerging powerful tool for analysis and prediction. It is successfully applied in the area of fraud detection, advertising, marketing, loan assessment and prediction. But, it is in nascent stage in the field of education. Considerable amount of work is done in this direction, but still there are many untouched areas. Moreover, there is no unified approach among these researches. This paper presents a comprehensive survey, a travelogue (2002-2014) towards educational data mining and its scope in future.

翻译：在这个计算机化的时代,教育本身也有所改进,并不限于旧的授课方法; 定期寻找新的方法,提高学生的效能和效率; 如今,许多数据都在教育数据库中收集,但仍没有使用; 为了从如此大的数据中获得必要的收益,需要强有力的工具; 数据挖掘是分析和预测的一个新兴的有力工具; 成功地在欺诈的发现、广告、营销、贷款评估和预测领域应用了数据; 但是,教育领域尚处于新生阶段,在这方面做了大量工作,但仍有许多未触及的领域; 此外,这些研究之间没有统一的方法; 本文对教育数据挖掘及其未来范围进行了全面调查、旅行式(2002-2014年) 。