Investigating learning behaviors and intervention effectiveness of students with special educational needs

Xiaoyin LI, Yu YANG, Jiannong CAO, Zhen-Qun YANG, Kaile WANG, Vincent To Yee NG

Research output: Chapter in Book/Report/Conference proceedingChapters

Abstract

Over the past decade, numerous studies and technologies have emerged exploring how to provide the most appropriate interventions to help students with special educational needs (SEN), who need assistance due to cognitive or developmental disabilities, to learn and achieve higher added value in school. In this work, we focus on data analysis to scrutinize the learning behavior and intervention effectiveness associated with the different types of SEN students. Specifically, we investigated the learning behaviors of students with special educational needs in terms of extracurricular activities (ECA) participation and prosocial behavior, based on data collected from a Hong Kong secondary school. We found that different types of disorders are associated with distinct learning behaviors. Moreover, the effectiveness of interventions varied across students with different disorders, indicating the need for individualized strategies in supporting these students. Copyright © 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Original languageEnglish
Title of host publicationBlended learning. Intelligent computing in education: 17th International Conference on Blended Learning, ICBL 2024, Macao SAR, China, July 29 – August 1, 2024, Proceedings
EditorsWill W. K. MA, Chen LI, Chun Wai FAN, Leong Hou U, Angel LU
Place of PublicationSingapore
PublisherSpringer
Pages262-272
ISBN (Electronic)9789819744428
ISBN (Print)9789819744411
DOIs
Publication statusPublished - 2024

Citation

Li, X., Yu, Y., Cao, J., Yang, Z.-Q., Wang, K., & Ng, V. T. Y. (2024). Investigating learning behaviors and intervention effectiveness of students with special educational needs. In W. W. K. Ma, C. Li, C. W. Fan, L. H. U, & A. Lu (Eds.), Blended learning. Intelligent computing in education: 17th International Conference on Blended Learning, ICBL 2024, Macao SAR, China, July 29 – August 1, 2024, Proceedings (pp. 262-272). Springer. https://doi.org/10.1007/978-981-97-4442-8_20

Keywords

  • Educational data analysis
  • Special educational needs
  • Individual educational plan
  • Intervention

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