TY - GEN
T1 - Investigating Learning Behaviors and Intervention Effectiveness of Students with Special Educational Needs
AU - Li, Xiaoyin
AU - Yu, Yang
AU - Cao, Jiannong
AU - Yang, Zhen Qun
AU - Wang, Kaile
AU - Ng, Vincent To Yee
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - Educational Data Analysis
KW - Individual Educational Plan
KW - Intervention
KW - Special Educational Needs
UR - https://www.scopus.com/pages/publications/85199541396
U2 - 10.1007/978-981-97-4442-8_20
DO - 10.1007/978-981-97-4442-8_20
M3 - Conference article published in proceeding or book
AN - SCOPUS:85199541396
SN - 9789819744411
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 262
EP - 272
BT - Blended Learning. Intelligent Computing in Education - 17th International Conference on Blended Learning, ICBL 2024, Proceedings
A2 - Ma, Will W. K.
A2 - Li, Chen
A2 - Fan, Chun Wai
A2 - U, Leong Hou
A2 - Lu, Angel
PB - Springer Science and Business Media Deutschland GmbH
T2 - 17th International Conference on Blended Learning, ICBL 2024
Y2 - 29 July 2024 through 1 August 2024
ER -