An Analysis of Sustainability Integration in Business School Curricula: Evidence from Korea

Given the growing importance of corporate sustainability in the academic literature and in practice, this study investigates to what extent business schools in South Korea have been reflecting sustainability-linked themes in the curriculum. Based on a review of 20,507 course syllabi from ten sample universities between 2013 and 2019, our findings show an increase in the absolute number and proportion of sustainability-linked courses in Korean business schools, increasing from 12.9% of total courses in 2013 to 14.7% in 2019. The most prominent sustainability keywords were “ethics” and “corporate social responsibility,” with most courses reflecting sustainability keywords by allocating a few weeks to sustainability issues (sustainability-inclusive) rather than sustainability serving as the major theme of the course (sustainability-focused). In terms of degree program, sustainability-linked courses accounted for nearly 15% of total courses at the undergraduate and Master of Business Administration (MBA) levels, respectively, and just 7% of graduate (Master’s/Ph.D.) programs in Business Administration. While our findings suggest overall progress in incorporating sustainability themes in business schools, course offerings are fragmented and generally focus on a narrow concept of ethics rather than constituting a comprehensive curriculum that weaves sustainability throughout functional majors.

The Study of User Model of Personalized Recommendation System Based on Linked Course Data

The massive information on Internet makes users obtain information become in efficient.Similarly,the users in the field of e-learning face with the problems that learning resources are inefficient and learning paths unreasonable,etc .Linked Courses data is a standard of W3C proposed will be organized the courses in the national excellent courses into a linked data database. On the basis the author design a user model to meet the user's learning requirements, which will be the most suitable learning Resources recommended to the user. Finally, the author validate the model with experimental ,the application shows that the model can indicate the user's learning requirements,and rational and efficient learning path is recommended.