"In an interdisciplinary learning environment, students are facing difficulties to locate the right education opportunities, e.g., campus courses or MOOCs, to achieve their career goals. In this paper, we propose a novel student program planning system. Using the system, students can enter job preferences, e.g., “Software Engineer at Google"", and text-based and network graph-based recommendation algorithms will suggest education opportunities that help students achieve their career goals. Preliminary results show that the proposed solution is promising in recommending students a personalized education plan."
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