Abstract
In an era of data-driven decision-making, this research paper delves into analytics education to explore innovation in teaching analytics courses. Examining a spectrum of pedagogical strategies and technology integration, it investigates the profound impact of these innovations on student learning outcomes. The paper evaluates the effectiveness of these approaches in enhancing engagement, critical thinking, and practical skill development, shedding light on their implications for preparing students for a data-centric world. Through comprehensive impact assessment methods and case studies, this research contributes to the discourse on reshaping analytics education and equipping future professionals with the agility and proficiency required in the dynamic field of data analytics.
Recommended Citation
Kumar, Dadabada Pradeep, "Innovation in Teaching Analytics Courses: Strategies, Technologies, and Impact on Learning Outcomes" (2023). Proceedings of the 2023 Pre-ICIS SIGDSA Symposium. 20.
https://aisel.aisnet.org/sigdsa2023/20