Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/3330
Full metadata record
DC FieldValueLanguage
dc.contributor.authorRamanayaka, D.Y-
dc.contributor.authorLiyanagunawardana, A.P-
dc.contributor.authorEkanayake, E.M.T.K.B-
dc.contributor.authorWeerarathna, U.U-
dc.contributor.authorJayasingha, T.B-
dc.contributor.authorThilakarthna, T-
dc.date.accessioned2023-03-08T08:22:27Z-
dc.date.available2023-03-08T08:22:27Z-
dc.date.issued2022-12-09-
dc.identifier.isbn979-8-3503-9809-0/22-
dc.identifier.urihttps://rda.sliit.lk/handle/123456789/3330-
dc.description.abstractThe customer journey is a full interaction that a customer has with a business. Every touchpoint of the business is an opportunity to provide good experiences that encourage future opportunities to become customers and consumers to be committed loyal customers through the customer journey. This research paper refers to the student’s journey at university as a customer journey & considers the student’s actions to map the next suitable actions. This paper proposed a machine learningbased novel approach to recommending the suitable next best action for the students based on their past performance at university by using customer journey orchestration and optimization. Customer journey orchestration is the process of coordinating customer experiences in real-time to encourage better engagement with the systems and organization. The journey orchestration of university students is currently a manual flow. The main goal of this research is to convert the manual flow of university journey orchestration into an automated flow. The proposed system orchestrates and optimizes the student journeys at each milestone of the university by recommending the suitable path or next best action as the outcome to help students make a successful path throughout their university journey. This research contributes to achieving the educational goals and professional career goals of university students successfully. Furthermore, from the perspective of the university, this proposed system supports everything to facilitate better directions for the students to complete their studies successfully.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofseries2022 4th International Conference on Advancements in Computing (ICAC);-
dc.subjectCustomer journeyen_US
dc.subjecttouchpointen_US
dc.subjectCustomer journey orchestrationen_US
dc.subjectmachine learningen_US
dc.titleAn Automated Tool for Student Journey Orchestration & Optimization using Machine Learningen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/ICAC57685.2022.10025114en_US
Appears in Collections:4th International Conference on Advancements in Computing (ICAC) | 2022
Department of Computer Science and Software Engineering
Research Papers - IEEE
Research Papers - SLIIT Staff Publications
Research Publications -Dept of Information Technology

Files in This Item:
File Description SizeFormat 
An_Automated_Tool_for_Student_Journey_Orchestration_amp_Optimization_using_Machine_Learning.pdf
  Until 2050-12-31
489.35 kBAdobe PDFView/Open Request a copy


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.