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One improved learning analytics of interest transfer in interactive learning activities

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Abstract

Mining interactive learning activities and exploring learners' interest transfer are the key issues to realize education optimization and learning feedback. It also puts forward higher technical requirements. Based on the massive learning behaviors of online learning platform, this study proposes an interest transfer analysis method of interactive learning activities based on locality sensitive strategy. First, we analyze the multi-dimensional attributes and relationship characteristics; second, we design the improved locality sensitive hashing algorithm, then train multiple data sets of learning interactive activities. The experiments explore the performance indicators, mines the topological relationships of interest transfer, and evaluates and predicts the potential rules; finally, the interest transfer mechanisms supported by locality sensitive strategy are applied to the actual teaching process, and the locality sensitive activities tested in practice. It is of great practical significance to optimize the learning process, and it is also a technical reference for learning analytics to be deeply integrated into the interactive learning environments.

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Data availability

The data that support the findings of this study are available from the corresponding author upon reasonable request.

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Funding

Natural Science Foundation of Shandong Province, ZR2023MF099, Xiaona Xia

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Authors and Affiliations

  1. Faculty of Education, Qufu Normal University, Chinese Academy of Education Big Data, Qufu Normal University, Qufu, 273165, Shandong, China

    Xiaona Xia

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  1. Xiaona Xia
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Correspondence to Xiaona Xia.

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No conflict of interest exits in the submission of this manuscript, and manuscript is approved by all authors for publication. I would like to declare on behalf of my co-authors that the work described was original research that has not been published previously, and not under consideration for publication elsewhere, in whole or in part. All the authors listed have approved the manuscript that is enclosed.

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Xia, X. One improved learning analytics of interest transfer in interactive learning activities. Multimed Tools Appl (2024). https://doi.org/10.1007/s11042-024-18258-0

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