Abstract
The framework of outcomes-based education(OBE) has become a central issue for global university education, which is benefited to drive the education development by a series of assessments for historical teaching data, especially student course score, and employment information. The issue of how to timely update the talent training plans for computer major in a university has received considerable critical attention. It is becoming extremely difficult to ignore the requirement of fast shortened update cycle in IT area. One of the main obstacles is that the teaching inertia and the fixed awareness of a major training plan may delay the feedback of teaching problems. There is still a contradiction between the plan rationality and the real-time needs of contemporary IT enterprises. Hence, this paper puts forward a novel data-based framework to evaluate the relevance between the major courses, employment rate, and enterprise needs through the decision tree expression, thus providing reliable data support for systematic curriculum reform. On top of that, A recommendation algorithm is proposed to automatically generate the computer course group that satisfies the staff requirements of IT enterprises. Finally, teaching and employment data of Xihua University in China is applied as an example to undertake course optimization and recommendation. The consequences have an obvious positive effect on student employment and enterprise feedback.
Highlights
A few prestigious universities have long recognized the importance of getting their students well-prepared for their future careers by offering appropriate professional skill training from the academic courses [1,2,3]
Some of educators are faced with a dilemma: how to judge whether the running course plan will benefit the student’s employment and how to seek support teaching data to update the course plan. e framework shown in Figure 1 can be more useful for quickly setting a reasonable course plan in computer education, which provides a novel understanding for course plan configuration and reports a feasible data-based intelligent solution for the dilemma
A Case Study of Framework Applications in Computer Major e approach of decision tree was used to search for a systematic curriculum that is more adaptable to the needs of enterprises
Summary
A few prestigious universities have long recognized the importance of getting their students well-prepared for their future careers by offering appropriate professional skill training from the academic courses [1,2,3]. We first put forward a novel data-based framework to optimize course configuration and course hours through the decision tree expression. Use of decision tree studies is a well-established approach in data science, but there is rarely applied for curriculum optimization. Previous studies of decision tree applications in higher education have not dealt with the crucial tasks group optimization and recommendation. E framework shown in Figure 1 can be more useful for quickly setting a reasonable course plan in computer education, which provides a novel understanding for course plan configuration and reports a feasible data-based intelligent solution for the dilemma. The fact is completely divorced from the needs of IT enterprises in real time
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