Research on the construction of learner personas

Hailan Li; Kongyang Peng; Fengying Shang; Haoli Ren

doi:10.1117/12.2671043

28 April 2023 Research on the construction of learner personas

Hailan Li, Kongyang Peng, Fengying Shang, Haoli Ren

Proceedings Volume 12610, Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022); 1261025 (2023) https://doi.org/10.1117/12.2671043
Event: Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022), 2022, Wuhan, China

Abstract

In the big data environment, the key is the precise recommendation of learning resources to learners. The core is the in-deep mining of learners’ personalized demands. This study solves this problem by constructing learner personas. Primarily, collect web learning data of learners to cluster them. Then analyze the characteristics of learners to predict their learning intentions and knowledge blind spots. Based on it, generate a clear personalized learning path subsequently. Precise positioning, quickly finding out the learner's ability and quality shortcomings. And completing the accurate recommendation to learners. It will help learners establish a reasonable learning path, and provide more accurate service support. This study will provide a theoretical basis for carrying out big data precision services and meeting the personalized learning needs of learners.

Citation Download Citation

Hailan Li, Kongyang Peng, Fengying Shang, and Haoli Ren "Research on the construction of learner personas", Proc. SPIE 12610, Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022), 1261025 (28 April 2023); https://doi.org/10.1117/12.2671043

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