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Appreciative Inquiry: An Effective Training Alternative to Traditional Adult Learning?

机译:欣赏性探究:有效的培训替代传统成人学习吗?

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While the practice of positive psychology has flourished in the last decade, critics still point to the lack of intervention-based research and empirical evidence as a shortcoming of this field. Appreciative inquiry (AI), an intervention with similar theoretical underpinnings as positive psychology, has the capacity to expand what is known about the impact of positivity in the study of organizations. AI is an intervention that uses reflective questions of positive experiences to create new opportunities. However, there is scant research on its effectiveness in real-world settings. This study extends this line of research by evaluating the effectiveness of AI as an alternative to conventional adult learning methodologies, as well as an applied example of an intervention based on positive psychology to study organizational change. Results from changes in pre- and post-assessments following three AI-based interventions, when compared to those from a control group, suggest AI can lead to significant gains in participants’ perceived attitudinal, behavioral, and cognitive learning similar to traditional adult learning methodologies. In addition, these results suggest AI interventions paired with real-world problem solving opportunities yield greater gains in participants’ perceived confidence to demonstrate positive interpersonal skills. Implications for using AI in the course of adult learning are discussed.
机译:在过去的十年中,积极心理学的实践蓬勃发展,但批评家们仍然指出,缺乏基于干预的研究和经验证据是该领域的不足。欣赏性探究(AI)是一种具有与积极心理学类似的理论基础的干预措施,具有扩展关于组织研究中关于积极性影响的已知知识的能力。人工智能是一种使用积极经验的反思性问题来创造新机会的干预措施。但是,在现实环境中对其有效性的研究很少。这项研究通过评估AI替代传统成人学习方法的有效性以及基于正面心理学的干预措施来研究组织变革的应用示例,扩展了这一研究领域。与对照组相比,三种基于AI的干预措施前后评估前后变化的结果表明,AI可以显着提高参与者的感知态度,行为和认知学习能力,类似于传统的成人学习方法。此外,这些结果表明,人工智能干预措施与现实世界中解决问题的机会相结合,可以使参与者的认知信心得到更大的提高,从而展现出积极的人际交往能力。讨论了在成人学习过程中使用AI的含义。

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