This study proposes a competitive intelligence connectivist Massive Open Online Course (CI cMOOC) proof of concept and highlights the interactions among content, context and community to explore relevance in CI cMOOC behavior. The CI cMOOC proof of concept was empirically tested with an online purposive sampling to target a qualified audience of similar and dissimilar information-rich cases, providing evidence about content-context-community competing influence on CI knowledge. The results revealed how the CI learning community perceive the capability of a cMOOC to train foreknowledge practices, given the best match between its content and context. The findings outline that tailored learning approach of the instructor influences the CI learning community’s satisfaction with the content. The study facilitates theory development in addressing the emerging paradigm of an open intelligence approach to cMOOC collective training. Within boundaries of empirical return on experience of qualified respondents, the research framework strengthens trust in supervised interpretive judgment of CI learners confronted with anticipating competitive challenges.

中文翻译：

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连通主义者竞争情报大规模开放在线课程（CI cMOOC）概念证明的经验证据

这项研究提出了一个竞争情报连接主义者的大规模在线公开课程（CI cMOOC）的概念证明，并强调了内容，上下文和社区之间的相互作用，以探索与CI cMOOC行为的相关性。CI cMOOC概念证明已通过在线目的抽样进行了经验测试，以针对相似和不相似的信息丰富案例的合格受众为对象，提供了有关内容-上下文-社区竞争对CI知识的影响的证据。结果显示，在CIMOOC的内容和上下文之间达到最佳匹配的情况下，CI学习社区如何看待cMOOC训练前瞻性实践的能力。调查结果概述了教师的量身定制的学习方法会影响CI学习社区对该内容的满意度。该研究有助于解决cMOOC集体培训的开放情报方法的新兴范式的理论发展。在合格受访者的经验回报经验的范围内，研究框架增强了对面对预期竞争挑战的CI学习者进行监督解释性判断的信任。