Toward a Holistic Approach for Nuanced Public Segmentation: Social Vigilantism and the Situational Theory of Problem Solving (STOPS)

Author(s):  
Soojin Roh ◽  
Hyun Jee Oh
2012 ◽  
Vol 24 (2) ◽  
pp. 144-164 ◽  
Author(s):  
Jeong-Nam Kim ◽  
Lan Ni ◽  
Sei-Hill Kim ◽  
Jangyul Robert Kim

2022 ◽  
pp. 1-19
Author(s):  
John Robinson ◽  
Daniel Beneroso

Solutions to global challenges need a range of engineers with diverse skills and attributes, and it is the responsibility of engineering educators to shape the engineering education landscape, using their problem-solving expertise to educate future engineers for modern technological advances. Project-based learning (PjBL) is an educational approach that can integrate such needed skills and attributes into the curriculum. However, delivering a truly effective PjBL approach can be quite difficult without considering a holistic approach encompassing three key pillars: PjBL curriculum and assessment, PjBL culture, and physical and online PjBL spaces. This chapter presents a comprehensive overview of how PjBL has been successfully deployed across the Chemical Engineering curriculum at the University of Nottingham, UK, through the lenses of those pillars, and in the form of design projects, with a progressive integration and development of diverse skills and competencies throughout the years.


Author(s):  
Xiaoting Xu ◽  
Honglei Li ◽  
Shan Shan

Online health communities (OHCs) offer users the opportunity to share and seek health information through these platforms, which in turn influence users’ health decisions. Understanding what factors influence people’s health decision-making process is essential for not only the design of the OHC, but also for commercial health business who are promoting their products to patients. Previous studies explored the health decision-making process from many factors, but lacked a comprehensive model with a theoretical model. The aim of this paper is to propose a research model from the situational theory of problem solving in relation to forecasting health behaviors in OHCs. An online questionnaire was developed to collect data from 321 members of online health communities (HPV Tieba and HPV vaccina Tieba) who have not received an HPV vaccination. The partial least squares structural equation modeling (PLS-SEM) method was employed for the data analysis. Findings showed that information selection and acquisition is able to forecast HPV vaccination intentions, perceived seriousness and perceived susceptibility can directly impact HPV vaccination intention and have an indirect impact by information selection and acquisition, and perceived message credibility indirectly affected HPV vaccination intention via information selection. The current paper supports health motivations analysis in OHCs, with potential to assist users’ health-related decision-making.


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