| Having a visualized analysis of students’ academic progress and influencing factors can help to optimize the curriculum structure and the faculty allocation,improve the teaching and learning process of major courses,and enhance the teaching quality of various majors in universities.However,the long-span discretized student performance data is difficult to directly show their academic progress.Moreover,students’ scores have high-dimensional,multivariate,time series-related and other data characteristics,and are susceptible to multiple factors such as students themselves,curriculum structure and instructors,which will pose great challenge to the analysis.Therefore,this thesis works on the visual and interactive design for the analysis of academic progress in professional teaching,and develops a visual analysis prototype system-APVAS,which can support systematic exploration of various potential factors affecting students’ academic progress from multiple dimensions.First of all,the joint view of student achievement and academic progress can show the distribution characteristics of student achievement in multiple grades and the timing series change characteristics of students at different levels throughout the university.Next,the correlation node link graph is used to describe the time series distribution characteristics of different types of courses and the complex correlation structure of professional course scores,and it is expanded from the perspective of students to show the flow pattern of students between two or more courses.Then,aiming at the influencing factors of teachers,a grid diagram of teachers’ teaching information is designed to reveal the impact of teaching situation and teaching style of teachers on related course performance.And a simultaneous equation model is introduced to comprehensively analyze students’ evaluation scores and the teaching effects of different courses.Finally,the curriculum attribute tree,word cloud of research group and teacher attribute tree acts together as interactive control views.Through deploying rich multi-view interactive linkage technology,it can support systematic exploration of various potential factors affecting students’ academic progress.On the basis of the above research,an application case is developed based on real student achievement data and teacher’ evaluation data,and the field experts are invited to test and evaluate the system.It is proved that APVAS system can effectively support the systematic exploration of internal and external factors affecting academic progress from multiple dimensions.Meantime,the effectiveness and practicability of the system are also verified. |
