How can instructional supervision be the catalyst for innovation and excellence in education? A question posed by C.Gonzaga on ResearchGate

It should be stated that no one among humans possesses the Truth, except perhaps small fragments of it, often to be verified and proven through concrete evidence. What can be said regarding the question posed is necessarily inserted in individual experiences and in one's own intellectual path: social, educational, etc.

  Teaching supervision implies knowledge of what is supervised and therefore pedagogical attention to implicit teaching, so that in a highly evolutionary and competitive society, innovation is fueled through a cognitive stimulus that aims for excellence, above all with a disciplined and humble critical spirit, but without presumptions, arrogance or vainglory. An educational supervision that is limited to compliance actions and simple order towards pre-established schemes could not be very fruitful. In this regard it is necessary to remember how the school of "field psychology" (in particular Kurt Lewin) teaches that the more structured the (psychological) cognitive field is, the more efficient and powerful it is in analysis, but at the price of rigidity towards elements innovative critics. Conversely, the more unstructured the field is, the more creativity and willingness there is to accept and include in the field itself (through study and research) the critical elements that have emerged useful for innovation and a path to excellence. In essence, it requires a sort of pedagogical "trade off" to be evaluated, chosen and implemented based on contingent and situational elements.

Not so much from the question, but from the expected "key words" provided for the online search, we understand that these are also topics that concern Microsoft Excel. We can say that this spreadsheet, like others that exist on the market, offers a lot of potential in practical use. Equipped with many mathematical, statistical and programming logic functions, it is suitable for numerical calculation, but can also be used as a database for activities ranging from simple administrative management (orders, invoices, payments, etc.) up to real activities planning, management and control of contracts or projects, even very important and complex ones. For example, Excel can be programmable integrated with QBasic-type software, introducing procedural programming systems, although today the potential offered by Python tends to make it considered obsolete. Perhaps this is why there is news that «Microsoft has collaborated with the data science platform Anaconda to bring this functionality to life. The company uses the Anaconda Python distribution, running in Azure, to bring the most popular Python libraries to Excel, including Matplotlib and Seaborn for data visualization.( Aug 22, 2023 ref. https://techcrunch.com/2023/ 08/22/microsoft-is-bringing-python-to-excel/)» Excel's current graphing capability is good for diagramming its results, but certainly not comparable to what Python allows.

This alone indicates how careful didactic supervision can push critically to delve deeper into topics on which the field branches out, which inevitably induce the need for in-depth study, orienting teachers and students towards greater knowledge.

A simple and modest example of circumventing the potential in the field of analysis of old versions of Excel can be provided through the following reference: 

https://roccomorelli.blogspot.com/2022/07/a-tommaso-per-commenti-e-correzioni.html