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Modeling Lifelong Pathway Co-construction

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Conceptual Modeling (ER 2022)

Abstract

While personal coach applications are now ubiquitous, personal lifelong pathway co-construction, although present in a wide range of situations (e-learning, healthcare, return to employment, home-care of elders, etc.) is largely overlooked. Modeling generic lifelong pathway co-construction is feasible since these situations share many properties. In this paper, we contribute with a model for the co-construction of lifelong pathways, backed by a literature survey of semantic trajectories, and applicable in a wide range of situations. The model supports the interactions between the two main actors, the advisee and the advisor, in the co-construction, and include the key specific aspects of lifelong pathway: the advisee’s long-term goal, the evaluation of the advisee’s multi-dimensional (educational, professional, financial, medical, etc.) trajectory, the guiding of the advisee via advices that influence the stages of the pathway. To illustrate the importance of this model, we detail its use in a guidance system, to help the advisor’s work in guiding the advisee towards their goal.

Funded by ANRT CIFRE 2020/0731.

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Correspondence to Nicolas Ringuet .

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Ringuet, N., Marcel, P., Labroche, N., Devogele, T., Bortolaso, C. (2022). Modeling Lifelong Pathway Co-construction. In: Ralyté, J., Chakravarthy, S., Mohania, M., Jeusfeld, M.A., Karlapalem, K. (eds) Conceptual Modeling. ER 2022. Lecture Notes in Computer Science, vol 13607. Springer, Cham. https://doi.org/10.1007/978-3-031-17995-2_10

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  • DOI: https://doi.org/10.1007/978-3-031-17995-2_10

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  • Online ISBN: 978-3-031-17995-2

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