Abstract
Access to and effective use of relevant information and continuously learning is an integral part of graduate students’ daily lives. However, when searching for learning materials, students face challenges selecting relevant information because of the tremendous increase of learning resources over the last few years. This research proposes a novel methodology that aids graduate students to find appropriate sources of information in their lifelong learning endeavors by using people-to-people recommender system (RS) techniques. The people-to-people RS aims to help graduate students by suggesting persons (peers/experts) to contact about the problems they are facing when the problems are not easily identifiable from static fact sheets (a.k.a, question and answer or frequently asked questions).
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Lelei, D.E.K. (2013). Supporting Lifelong Learning: Recommending Personalized Sources of Assistance to Graduate Students. In: Lane, H.C., Yacef, K., Mostow, J., Pavlik, P. (eds) Artificial Intelligence in Education. AIED 2013. Lecture Notes in Computer Science(), vol 7926. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39112-5_144
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