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Predicting the Future Impacts of AI: McLuhan’s Tetrad Framework |
作者姓名:Yasser Rahrovani |
商品類型:Case (Pub Mat) | 商品編號:W42595 |
出版日期:2025/10/02 | 內容長度:3 頁 |
This case introduces students to McLuhan’s tetrad model through a structured learning experience. Before class, students read a mini-case exploring the Zoom videoconferencing software as an example of how to apply the tetrad’s four dimensions—enhancement, obsolescence, retrieval, and reversal—and listen to the author’s podcast about the use of algorithmic control in digital labour platforms. In class, students engage in a team-based exercise using .....more
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Predicting the Future Impacts of AI: McLuhan’s Tetrad Framework- Teaching Note |
作者姓名:Yasser Rahrovani |
商品類型: | 商品編號:W42596 |
出版日期:2025/10/02 | 內容長度:10 頁 |
Teaching note for product W42595.
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AI in Radiology: Scaling Healthcare Transformation at LUMC Hospital - Teaching Note |
作者姓名:Yasser Rahrovani, Mohammad H. Rezazade Mehrizi, Willem Grootjans |
商品類型: | 商品編號:W42638 |
出版日期:2025/08/01 | 內容長度:21 頁 |
Teaching note for product W40544.
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AI in Radiology: Scaling Healthcare Transformation at LUMC Hospital |
作者姓名:Yasser Rahrovani, Mohammad H. Rezazade Mehrizi, Willem Grootjans |
商品類型:Case (Field) | 商品編號:W40544 |
出版日期:2025/08/01 | 內容長度:13 頁 |
In September 2024, Dr. Mark van Buchem, head of the radiology department at Leiden University Medical Center (LUMC) in the Netherlands, was tasked with presenting at LUMC’s strategic meeting. The focus was on his department’s pioneering efforts in integrating artificial intelligence (AI) into the clinical workflow, a project that had begun in 2018. Over six years, various AI initiatives were launched, many of which had been successfully integrated .....more
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Learning Machine Learning: A Hands-On Comparison of SML, UML, AND RML |
作者姓名:Yasser Rahrovani, Rosy Ren |
| 商品編號:W41961 |
出版日期:2024/12/20 | 內容長度:5 頁 |
This exercise provides a structured framework for introducing business students to supervised machine learning (SML), unsupervised machine learning (UML), and reinforcement machine learning (RML). The exercise revolves around applying these techniques to evaluate harassment policies, offering a hands-on and practical approach to understanding how machine learning (ML) works in real-world scenarios. The exercise is suitable for undergraduate classes .....more
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Learning Machine Learning: A Hands-On Comparison of SML, UML, AND RML - SH Policy 1 |
作者姓名:Yasser Rahrovani, Rosy Ren |
商品類型:Supplement | 商品編號:W41964 |
出版日期:2024/12/20 | 內容長度:2 頁 |
Supplemental material to accompany product W41961.
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Learning Machine Learning: A Hands-On Comparison of SML, UML, AND RML - SH Policy 2 |
作者姓名:Yasser Rahrovani, Rosy Ren |
商品類型:Supplement | 商品編號:W41965 |
出版日期:2024/12/20 | 內容長度:3 頁 |
Supplemental material to accompany product W41961.
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Learning Machine Learning: A Hands-On Comparison of SML, UML, AND RML - SH Policy 3 |
作者姓名:Yasser Rahrovani, Rosy Ren |
商品類型:Supplement | 商品編號:W41966 |
出版日期:2024/12/20 | 內容長度:4 頁 |
Supplemental material to accompany product W41961.
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Learning Machine Learning: A Hands-On Comparison of SML, UML, AND RML - SML Rubric |
作者姓名:Yasser Rahrovani, Rosy Ren |
商品類型:Supplement | 商品編號:W41967 |
出版日期:2024/12/20 | 內容長度:2 頁 |
Supplemental material to accompany product W41961.
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Learning Machine Learning: A Hands-On Comparison of SML, UML, AND RML - SML Rubric Labelled |
作者姓名:Yasser Rahrovani, Rosy Ren |
商品類型:Supplement | 商品編號:W41968 |
出版日期:2024/12/20 | 內容長度:3 頁 |
Supplemental material to accompany product W41961.
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