Do underprivileged youth find hope, sense of community, and perceived social support in computational participation? A socio-cognitive approach to computational learning

Do underprivileged youth find hope, sense of community, and perceived social support in computational participation? A socio-cognitive approach to computational learning

• Wong, Gary K. W. The University of Hong Kong
• Tsang, Bill Y. P. Youth Global Network
• Wu, Qiaobing The Hong Kong Polytechnic University
• Zhang, Xin The University of Hong Kong

Education and Information Technologies, 28(7), 8975-8997, 2023

Springer

2023

• G 課程與教學:個別教學範疇
  • GD 科學及科技
    • GDC 教學方法與效果

Computational Participation Computational Thinking Programming Education Equitable Education Underprivileged Youth Learning Environments

• Hong Kong

• 1997.7 onwards

• 未指定或無法歸類

While increasing the equitable participation in computer science (CS) education at schools, most existing studies focus on the acquisition of computational skills and measurements of cognitive skills as the learning outcome. The potential benefits of developing psychosocial attributes in the process of computational learning are of less concern, particularly for the underprivileged youth with Special Educational Needs (SEN) and from low-income family. To improve the inequitable learning in school, the "Project C program" has been developed to integrate computational participation and mentoring scheme through social-cognitive approach for underprivileged youth. The aim of this research is to investigate the psychosocial impact of the program, and examine the interrelation between hope, sense of community, and perceived social support in computational learning. The Project C program was piloted in a special school in Hong Kong under the category of "Schools for Children with Moderate Intellectual Disability," targeting 8th grade students (n = 51) with SEN (i.e., mild autism) living in low-income residential districts, and a self-reported pre/post questionnaire was administered to measure the psychosocial changes before and after the intervention. The findings reveal a statistically significant change in hope, sense of community, and perceived social support through the program, and the relation between sense of community and hope was fully mediated by the perceived social support. Based on the findings, theoretical and practical implications of social-cognitive approach to computational learning are discussed. Copyright © 2023 Springer.

• 英文

期刊論文

• 13602357

• 10.1007/s10639-022-11522-6

https://bibliography.lib.eduhk.hk/tc/bibs/8a290421

2024-04-09