Department of Behavioral and Organizational Sciences, Claremont Graduate University, Claremont, California, USA.
Department of Public Health, University of California San Diego, La Jolla, California, USA.
Cyberpsychol Behav Soc Netw. 2024 Jan;27(1):47-56. doi: 10.1089/cyber.2023.0001.
Online environments, such as metaverses, provide distinct social environments for people to engage in complex, cognitive, and multidirectional learning and meaning-making experiences. These engaging and influential environments highlight important factors associated with the Social Learning Theory (a process through which external settings influence behavior in specific environments). According to this theory, environments provide a space for youth to engage in reciprocal interactions of interpersonal, behavioral, and environmental cues. Online environments designed by social media companies have been scrutinized, given their dependence on algorithms (artificial intelligence systems). Research has revealed the effects of systems that use machine learning to subversively maintain engagement on their platforms for as long as possible. Given the constant changes in socializing environments, younger generational cohorts need to be adequately prepared for systems that determine what type of content they are exposed to, and shape the timing, frequency, and agentic influencers they engage with. Therefore, this article proposes a necessity to expand our understanding about social learning and current technology design principles. This article demonstrates the need for a paradigm shift toward exploring an innovative construct referred to as the digital learning environment. We examine existing issues in the design of digital spaces, provide a positive developmental psychology framework that informs further research, and propose solutions for researchers, educators, policymakers, and caregivers as they navigate healthy technology use and predominant mental health issues in the 21st century.
在线环境,如元宇宙,为人们提供了独特的社交环境,使他们能够参与复杂的、认知的和多向的学习和意义建构体验。这些引人入胜且具有影响力的环境突出了与社会学习理论相关的重要因素(一种通过外部环境在特定环境中影响行为的过程)。根据这一理论,环境为年轻人提供了一个空间,使他们能够在人际、行为和环境线索之间进行互惠互动。社交媒体公司设计的在线环境因其对算法(人工智能系统)的依赖而受到审查。研究揭示了使用机器学习来颠覆其平台上的参与度,以尽可能长时间保持参与度的系统的影响。考虑到社交环境的不断变化,年轻一代需要为那些决定他们接触到哪种类型内容以及塑造他们与之互动的时间、频率和代理影响者的系统做好充分准备。因此,本文提出了扩大我们对社会学习和当前技术设计原则的理解的必要性。本文展示了探索一种创新结构的必要性,称为数字学习环境。我们检查了数字空间设计中存在的问题,提供了一个积极的发展心理学框架,为进一步的研究提供了信息,并为研究人员、教育工作者、政策制定者和照顾者提出了解决方案,因为他们在 21 世纪应对健康的技术使用和主要的心理健康问题。