Following the active implementation and operation of initial Artificial Intelligence (AI) pilot projects (Chap. 11 ), Higher Education Institutions (HEIs) arrive at the concluding activities of Phase 2: systematically collecting data and feedback and conducting an initial pilot evaluation. This stage is vital for transitioning from experimentation to evidence-based understanding (Askew et al., 2024; Weil & Forrester, 2024). Before moving to the comprehensive monitoring, evaluation, and potential scaling decisions of Phase 3 (Chap. 13 ), institutions must rigorously gather, synthesize, and assess the data generated during pilot initiatives.

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Collecting and Synthesizing Pilot Data (Phase 2)

  • David Woodring

摘要

Following the active implementation and operation of initial Artificial Intelligence (AI) pilot projects (Chap. 11 ), Higher Education Institutions (HEIs) arrive at the concluding activities of Phase 2: systematically collecting data and feedback and conducting an initial pilot evaluation. This stage is vital for transitioning from experimentation to evidence-based understanding (Askew et al., 2024; Weil & Forrester, 2024). Before moving to the comprehensive monitoring, evaluation, and potential scaling decisions of Phase 3 (Chap. 13 ), institutions must rigorously gather, synthesize, and assess the data generated during pilot initiatives.