With the continuous deepening of digital construction in colleges and universities, it is worth pondering how to dig out the data and evaluation methods related to grant evaluation from massive educational data. Based on the data of students' academic performance, consumption, poverty level, club activities, rewards and punishments, and competitions, the grant recommendation system is designed. Based on decision tree algorithm, the evaluation of students' grants is analyzed and studied, and the activities of the recipients are supervised and analyzed. The results show that the grant recommendation system can provide management basis for universities' decision-making.
关键词
奖助金/推荐系统/决策树算法/行为分析
Key words
grant/recommendation system/decision tree algorithm/behavior analysis
维普
万方数据