Data Analytics Research-Informed Teaching in a Digital Technologies Curriculum
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DOI: 10.1287/ited.2019.0215
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References listed on IDEAS
- Sivarajah, Uthayasankar & Kamal, Muhammad Mustafa & Irani, Zahir & Weerakkody, Vishanth, 2017. "Critical analysis of Big Data challenges and analytical methods," Journal of Business Research, Elsevier, vol. 70(C), pages 263-286.
- Coleen R. Wilder & Ceyhun O. Ozgur, 2015. "Business Analytics Curriculum for Undergraduate Majors," INFORMS Transactions on Education, INFORMS, vol. 15(2), pages 180-187, January.
- Wang, Yichuan & Kung, LeeAnn & Byrd, Terry Anthony, 2018. "Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations," Technological Forecasting and Social Change, Elsevier, vol. 126(C), pages 3-13.
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- Aleksandra Krstikj & Juan Sosa Godina & Luciano García Bañuelos & Omar Israel González Peña & Héctor Nahún Quintero Milián & Pedro Daniel Urbina Coronado & Ana Yael Vanoye García, 2022. "Analysis of Competency Assessment of Educational Innovation in Upper Secondary School and Higher Education: A Mapping Review," Sustainability, MDPI, vol. 14(13), pages 1-20, July.
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Keywords
business environment; information systems; data analytics; degree apprenticeship; digital and technology solutions; data-driven analytical framework; curriculum development; undergraduate specialist modules; research-informed teaching; analytical tools; data mining; business intelligence; insight management; decision support; big data;All these keywords.
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