发表机构
Lund University; Karlstad University（隆德大学; 卡尔斯塔德大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本研究提出CourseGraph，利用BERT语言模型与随机森林分类器，通过课程网页信息的语义表示计算课程相似度，实现跨大学计算机科学课程重叠的自动识别，为课程对齐提供有效支持。
AI 中文摘要
伊拉斯谟+（Erasmus+）等学生流动项目让学生可到其他大学修读课程，拓宽学术与文化视野，但这种灵活性也带来实际挑战：需确保学生不会在外修读与本校课程存在大量重叠的课程。本研究提出CourseGraph，一种基于课程管理员评估课程纳入学位项目流程的见解，自动评估境外课程的方法。CourseGraph从课程网页提取课程标题、描述、学习成果等信息，随后使用基于BERT的语言模型对这些信息进行语义表示，进而计算课程间的成对相似度。该信息随后被随机森林（Random Forest）分类器用于判断候选境外课程是否与学生本校课程存在重叠。我们使用两类数据评估CourseGraph：（1）埃因霍温理工大学的计算机科学项目，其包含大量课程重叠信息；（2）隆德大学计算机科学项目在读学生的6个获批国际项目，含课程管理员的对应决策。实验结果表明，CourseGraph为识别重叠课程及支持跨大学课程对齐提供了有效方法。
英文摘要
Student mobility programs such as Erasmus+ enable students to take courses at other universities, broadening their academic and cultural horizons. However, this flexibility also leads to a practical challenge: ensuring that students do not take courses elsewhere that substantially overlap with courses in their home curriculum. In this work, we propose CourseGraph, a methodology that automates the evaluation of external courses based on insights obtained from the process followed by curriculum administrators when assessing courses for inclusion in a degree program. Course- Graph extracts information such as course titles, descriptions, and learning outcomes from the course webpage. Then, this information is represented semantically using a BERT-based language model, after which the pair-wise similarity between courses can be computed. This information is then used by a Random Forest classifier to determine whether a candidate course abroad overlaps with a course already contained in the student's curriculum. We evaluate CourseGraph using (1) the Computer Science program at Eindhoven University of Technology, which contains information about courses with substantial overlap, and (2) six approved international programs from students enrolled in the Computer Science program at Lund University, including the corresponding decisions made by a curriculum administrator. The experimental results indicate that CourseGraph provides an effective approach for identifying overlapping courses and supporting curriculum alignment across universities.
