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

doi:10.1007/978-981-97-4442-8_20

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

Centre for Learning, Teaching and Technology (LTTC)

Research output: Chapter in Book/Report/Conference proceeding › Chapters

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 language	English
Title of host publication	Blended learning. Intelligent computing in education: 17th International Conference on Blended Learning, ICBL 2024, Macao SAR, China, July 29 – August 1, 2024, Proceedings
Editors	Will W. K. MA, Chen LI, Chun Wai FAN, Leong Hou U, Angel LU
Place of Publication	Singapore
Publisher	Springer
Pages	262-272
ISBN (Electronic)	9789819744428
ISBN (Print)	9789819744411
DOIs	https://doi.org/10.1007/978-981-97-4442-8_20
Publication status	Published - 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 4 Quality Education
SDG 10 Reduced Inequalities

Keywords

Educational data analysis
Special educational needs
Individual educational plan
Intervention

Access to Document

10.1007/978-981-97-4442-8_20

Other files and links

LI, X., YANG, 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

Investigating learning behaviors and intervention effectiveness of students with special educational needs. / LI, Xiaoyin; YANG, Yu; CAO, Jiannong et al.
Blended learning. Intelligent computing in education: 17th International Conference on Blended Learning, ICBL 2024, Macao SAR, China, July 29 – August 1, 2024, Proceedings. ed. / Will W. K. MA; Chen LI; Chun Wai FAN; Leong Hou U; Angel LU. Singapore: Springer, 2024. p. 262-272.

Research output: Chapter in Book/Report/Conference proceeding › Chapters

LI, X, YANG, Y, CAO, J, YANG, Z-Q, WANG, K & NG, VTY 2024, Investigating learning behaviors and intervention effectiveness of students with special educational needs. in WWK MA, C LI, CW FAN, LH 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. Springer, Singapore, pp. 262-272. https://doi.org/10.1007/978-981-97-4442-8_20

LI X, YANG Y, CAO J, YANG ZQ, WANG K, NG VTY. Investigating learning behaviors and intervention effectiveness of students with special educational needs. In MA WWK, LI C, FAN CW, U LH, LU A, editors, Blended learning. Intelligent computing in education: 17th International Conference on Blended Learning, ICBL 2024, Macao SAR, China, July 29 – August 1, 2024, Proceedings. Singapore: Springer. 2024. p. 262-272 Epub 2024 Jun. doi: 10.1007/978-981-97-4442-8_20

LI, Xiaoyin ; YANG, Yu ; CAO, Jiannong et al. / Investigating learning behaviors and intervention effectiveness of students with special educational needs. Blended learning. Intelligent computing in education: 17th International Conference on Blended Learning, ICBL 2024, Macao SAR, China, July 29 – August 1, 2024, Proceedings. editor / Will W. K. MA ; Chen LI ; Chun Wai FAN ; Leong Hou U ; Angel LU. Singapore : Springer, 2024. pp. 262-272

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

Abstract

UN SDGs

Keywords

Access to Document

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