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Dataset of Search Results Organized as Learning Paths Recommended by Experts to Support Search as Learning

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  • Verónica Proaño-Ríos

    (Departamento de Ingeniería Informática, Universidad de Santiago de Chile, Avenida Ecuador #3659, Santiago 9170124, Chile
    Departamento de Ciencias Exactas, Universidad de las Fuerzas Armadas—ESPE, Av. General Rumiñahui s/n, Sangolquí 171103, Ecuador)

  • Roberto González-Ibáñez

    (Departamento de Ingeniería Informática, Universidad de Santiago de Chile, Avenida Ecuador #3659, Santiago 9170124, Chile)

Abstract

In this article, we introduce a dataset of curated learning paths (LPs) to support search as learning. LPs were obtained through an online survey delivered to experts in different domains. Data were then analyzed and described in terms of a set of variables. The resulting dataset comprised 83 LPs, each containing three web pages, for an overall collection consisting of 249 documents. The dataset is intended to provide information scientists, education researchers, and industry professionals, who provide information services in educational contexts, a valuable resource to (i) investigate patterns in the order of LPs, (ii) improve ranking models and/or re-ranking methods, (iii) explain the structure of the recommended LPs, and (iv) investigate alternative approaches to display search results based on the features of LPs.

Suggested Citation

  • Verónica Proaño-Ríos & Roberto González-Ibáñez, 2020. "Dataset of Search Results Organized as Learning Paths Recommended by Experts to Support Search as Learning," Data, MDPI, vol. 5(4), pages 1-11, September.
    • Handle: RePEc:gam:jdataj:v:5:y:2020:i:4:p:92-:d:420320
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    References listed on IDEAS

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    1. Diane Nahl & Carol Tenopir, 1996. "Affective and cognitive searching behavior of novice end‐users of a full‐text database," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 47(4), pages 276-286, April.
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