Pedagogical Values from Jupyter notebooks as the main course tool 

This section presents first-hand user experience and direct feedback from instructors, students, or closely involved stakeholders such as staff who designed and developed curricula and syllabi, of some of the couses in Fig 1.
For context, this section recognises that without counterfactual no comparison of using Jupyter notebooks versus an alternative can be made. However, there is benefit in the absolute values these individuals have identified.

Lower Operational Complexity

Reades, from the Department of Geography at King's College London (KCL) and an instructor of 2 of the 3 courses in the dataset, states in references to these 3 courses that the "technical features of Jupyter notebooks particularly when combined with the popularity of Anaconda Python and Docker enabled us to develop and deliver a suite of three 'geocomputation' modules to Geography undergraduates" \cite{Reades_2020}. The value of this assessment is high as it is draws from methodological and pedagogical research undertaken over a five year period.
For the department's use-case, the advantageous technical features are minimal complexity (relatively light installation), maximum flexibility (achievable installation on most hardware/operating system combination), interactivity, utility (arising from popularity for data science), and maintainability (straightforward to update application).

Makes teaching easy

Jenkins, instructor of the Computational Macroeconomics course which was new in 2019, states in a paper written about this program "From a pedagogical perspective, the Jupyter Notebook is a fantastic tool that makes it easy to teach...The Notebook is a wonderful instructional tool because it allows me to write notes and instructions in HTML that students can read in advance and then we complete the Notebook together in class." \cite{jenkins} In fact Jenkins emphasises that one of the contributions of his paper is supporting better teaching by describing how to take advantage of Jupyter notebooks' versatility.