This chapter examines leadership and social class in the context of fraternities and sororities. With no extensive research in this area, recommendations provided may help educators create a plan to address the intersection of social class, leadership education, and membership in a fraternity or sorority.
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Research Centre for Public Health, Equity and Human Flourishing, Torrens University Australia, Adelaide, SA, Australia.
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View Article and Find Full Text PDFStructuring Palliative Care Education for Medical Students: Impact of a Novel Framework and Pocket Card.
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Department of Psychology, Division of Clinical Psychology and Psychotherapy, Bielefeld University, P.O. Box 100131, Universitätsstraße 25, Bielefeld, 33501, Germany.
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School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, Guangdong, China.
Knowledge-aware recommendation systems often face challenges owing to sparse supervision signals and redundant entity relations, which can diminish the advantages of utilizing knowledge graphs for enhancing recommendation performance. To tackle these challenges, we propose a novel recommendation model named Dual-Intent-View Contrastive Learning network (DIVCL), inspired by recent advancements in contrastive and intent learning. DIVCL employs a dual-view representation learning approach using Graph Neural Networks (GNNs), consisting of two distinct views: a local view based on the user-item interaction graph and a global view based on the user-item-entity knowledge graph.
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