The proposed article focuses on identifying a model that exploits the advancements in the field of Natural Language Processing (NLP) to effectively automate this process . The proposed model uses a clustering-inspired methodology based on knowledge-basedsemantic similarity measures to assess the taxonomic similarity of LOs and atransformer-based semantic similarity model . The similarity between LOs is further aggregated to form course tocourse similarity . The aggregation part of the model offers tunableparameters to accommodate different scenarios . This research work steers future research attempts to apply NLP in the . field ofarticulation in an ideal direction by highlighting the persisting researchgaps. The proposed research work also highlights the . persisting problems of applying NLP to the academic mobility in an academic field of articulation and the need to be addressed. For confidential support call the Samaritans on 08457 909090 or visit for confidential support on confidential support. In the U.S.

Author(s) : Dhivya Chandrasekaran, Vijay Mago

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Keywords : similarity - model - based - support - article -

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