Monthly Archives: July 2022

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Institutional Culture in Education

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Every institution has its own unique set of cultural values. Schools are no exception. Of course, people have studied organizational culture and shared insights. Cameron and Quinn (1999) developed the Competing Values Framework, in which they identified four main types of institutional cultures.

The Dimensions

Internal vs. External Focus

The Competing Values Framework has two dimensions and four quadrants which can be found when dealing with a cartesian coordinate system. The x-axis measures whether an institution is internally or externally focused. This is perhaps self-explanatory, but internally focused cultures or more concerned about what is happening within the organization rather than what is happening outside of it.

Stability vs. Flexibility

The y-axis measures whether the institution values stability or flexibility. A culture that favors stability will dislike change and dynamic environments. Naturally, flexible cultures thrive on change.

Cultural Types

Market

A market culture values an external focus and high flexibility. Market culture sare results-oriented, values competition, and generally appreciates getting things done. Survival in this context requires an achievement-oriented personality.

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Schools have moved away from competition and achievement over concerns with inequality. There have even been pushback against standardized testing, which is highly results-oriented. It would be unusual to see a school that heavily supports a marketed-oriented culture.

Adhocracy

An adhocracy culture is externally focused and appreciates high flexibility. This type of culture is focused on risk-taking, innovation, and dynamic change. To survive in such a climate involves initiative and self-organization. Many tech companies have an adhocracy culture.

Schools would generally not adhere to the adhocracy approach because they are often heavily regulated by the government. It is possible to see demands for this type of culture on an individual level. However, strong innovation and change are difficult at a particular level when you have to report and document everything you do.

Hierarchy

A hierarchy culture values being internally focused and a high degree of culture. This culture is highly rigid, searching for efficiency and structure. Hierarchy is often associated with government bureaucracies such as the Postal system or the Department of Education.

Schools would generally fall into this culture type. However, schools, especially smaller schools and elementary schools, our more focused on the children than a large hierarchical culture would generally allow. Hierarchical cultures probably do not want to neglect people. It’s just that the size of the work makes it hard to support everyone the way they need to be.

Clan

The clan culture is internally focused while appreciating flexibility. In such a culture, there is a focus on mentoring, nurturing, participation, and empowering individuals. There is a heavy emphasis on people and supporting their development.

Schools would probably most likely fall into the clan culture. Many schools emphasize helping students, and there is a huge demand for flexibility when dealing with students’ needs. Being a teacher is essentially about mentoring, developing, and investing in young people.

Conclusion

There is no single best institution. What this framework does is determine where an individual institution is. One type of culture will work in one context and be a disaster in another. What really matters is that an institution can identify their values and culture and whether this matches the context within which they work.

Linear Discriminant Analysis with Python VIDEO

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Linear discriminant analysis is a tool that is used for classification. This tool is one of many that is employed in data science. In this video, we will look at an example of how to use this tool in Python for practical purposes.

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OSEMN Framework for Data Analysis

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Analyzing data can be extremely challenging. It is often common to not know where to begin. Perhaps you know some basic ways of analyzing data, but it is unclear what should be done first and what should follow.

This is where a data analysis framework can come in handy. Having a basic step-by-step process, you always follow can make it much easier to start and complete a project. One example of a data analysis framework is the OSEMN model. The OSEMN model is an acronym that defines each step of the data analysis process. The steps are as follows

  • Obtain
  • Scrub
  • Explore
  • Model
  • INterpret

We will now go through each of these steps.

Obtain

The first step of this model is obtaining data. Depending on the context, this can be done for you because the stakeholders have already provided data for analysis. In other situations, you have to find the data you need to answer whatever questions you are looking for insights into.

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Data can be found anywhere, so the obtained data must help achieve the goals. It is also necessary to have the skills or connections to get the data. For example, data may have to be scraped from the web, pulled from a database, or even collected through the development of surveys. Each of these examples requires specific skills needed for success.

Scrub

Once data is obtained, it must be scrubbed or cleaned. Completing these tasks requires several things. Duplicates need to be removed, missing data must be addressed, outlier considered, the shape of the data addressed, among other tasks. In addition, it is often useful to look at descriptive statistics and visualizations to identify potential problems. Lastly, you often need to clean categories within a variable if they are misspelled or involve other errors such as punctuation and converting numbers.

The concepts mentioned above are just some of the steps that need to be taken to clean data. Dirty will lead to bad insights. Therefore, this must be done well.

Explore

Exploring data and scrubbing data will often happen at the same time. With exploration, you are looking for insights into your data. One of the easiest ways to do this is to drill down as far as possible into your continuous variables by segmenting with the categorical variables.

For example, you might look at average scores by gender, then you look at average scores by gender and major, then you might look at average scores by gender, major, and class. Each time you find slightly different patterns that may be useful or not. Another approach would be to look at scatterplots that consider different combinations of categorical variables.

If the objectives are clear, it can help you focus your exploration on reducing the chance of presenting non-relevant information to your stakeholders. Suppose the stakeholders want to know the average scores of women. In that case, there is maybe no benefit to knowing the average score of male music majors.

Model

Modeling involves regression/classification in the case of supervised learning or segmentation in the case of unsupervised learning. Modeling in the context of supervised learning helps in predicting future values, while segmentation helps develop insights into groups within a dataset that have similar traits.

Once again, the objectives of the analysis shape what tool to use in this context. If you want to predict enrollment, then regression tools may be appropriate. If you want what car a person will buy, then classification may help. If, on the other hand, you want to know what are some of the traits of high-performing students, then unsupervised approaches may be the best option.

INterpret

Interpreting involves sharing what does all this stuff means. It is truly difficult to explain the intricacies of data analysis to a layman. Therefore, this involves not just analytical techniques but communication skills. Breaking down the complex analysis so that people can understand it is difficult. As such, ideas around storytelling have been developed to help data analysis connect the code with the audience.

Conclusion

The framework provided here is not the only way to approach data analysis. Furthermore, as you become more comfortable with analyzing data, you do not have to limit yourself to the steps or order in which they are performed. Frameworks are intended for getting people started in the creative process of whatever task they are trying to achieve.

Factor Analysis with Python VIDEO

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Factor analysis is a statistical technique used to reduce the number of dimensions in order to simplify additional analysis or confirm a construct. In this video, we will look at a very simple example of factor analysis along with a visualization.

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Taylor Principles of Management and the Classroom

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Frederick Taylor (1856-1915) developed his management principles in response to the problems he was seeing in the workplace. IN this post, we will look at these principles and the backdrop to their origins.

Industrial Revolutions and its Problems

The Industrial Revolution led to major changes in the production of goods. Items went from being produced at home to being produced in factories. The work went from families working as a team to individuals working away from home. Natural these changes had pros and also cons.

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The main pro has already been mentioned and involves the boost in productivity. However, among the cons was a lack of motivation, issues with determining how much to produce with workers and managers manipulating each other, and a general lack of standardization. Lastly, workers were concerned with wages, working conditions, and justice.

Life of Fredrick Taylor

In this context, Fredrick Taylor (1856-1915) emerges. Unable to go to college due to an injury, Taylor went to work in a factory and saw workers destroy tools to prevent overproduction, which they believed could threaten their employment. Witnessing this, Taylor decided to take an empirical approach to this problem.

Taylor applied several different methodologies to examine production, such as time series, standardization, division of labor, time management, and incentives in such context as piecework production. He was also a huge proponent of finding the right person for the job and moving people as necessary to achieve this benefit to the person and the employer.

Four Principles of Management

Below are the four principles of management according to Taylor

  1. Managers should use science for each aspect of a job.
  2. Select and train workers scientifically.
  3. Workers and management should work together to make sure work is done according to principles of management
  4. Responsibility and work should be divided equally between workers and managers

Managers need to make sure science is the tool used for making decisions. Science relies on and observation and analysis of data. Using a scientific process is considered superior to making intuition or gut decisions. When science is used, employees may not agree, but they can see the thought process behind the decision. The principle of data-driven decision is a foundational concept in data science today.

Workers should also be trained and selected scientifically. Again this gives the impression of objectivity and fairness in the decision-making process. Using intuition or other means makes management decision-making questionable.

The third principle emphasizes that everyone should work together from a scientific perspective. Through a united worldview, the assumption is to improve cooperation. The enemy appears to be subjectivity, and both workers and management should avoid this.

The final principle speaks to how management and workers must have a joint interest in responsibilities. The motivation behind this idea is to reduce the hostility that can sometimes arise in the workplace. Suppose everyone is a part of the decision-making. In that case, everyone should have a vested interest in the endeavor’s success.

Taylor and the Classroom

It is hard to see how Taylor’s principles apply in the classroom at the surface level. However, two ideas that come out of Taylor’s principles for teachers are the idea of fairness and dialog. A teacher must demonstrate fairness through the decisions that they make. Students will not agree with a decision at times made by a teacher, but it is important to know that the decisions teachers make are not arbitrary and capricious.

Dialog is also important. Students need to raise concerns openly even if their commands are not implemented. When people are allowed to share, they are often invested in the achievement, which is the same for many students.

Conclusion

Taylor’s principles of management were groundbreaking for them. Even after almost a century, the ideas laid down here inspire managers and leaders in various fields.

Brief Intro to the History of Management

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A simple definition of management would be coordinating a task(s) to achieve a goal. This often involves people, and such management is about coordinating people. Managing people can be viewed negatively and as a form of manipulation or positively in a way that empowers people to accomplish things. In either case, management has a long history. People have been trying to achieve goals for all recorded human history.

Ancient Management

Early forms of management date all the way back to ancient Sumer. The Sumerians, people from Mesopotamia, developed writing to manage their training empire. Merchants needed a way to keep track of their records regarding what was bought and sold, among other things. Writing was developed for this purpose, perhaps because the trade volume was too high to track by memory.

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In the ancient city of Babylon, Hammurabi developed his Code of Hammurabi to manage behavior and control his people. The significance of the Code of Hammaruabi is that it is one of the oldest examples of law ever found. One of the more famous examples from this code is quoted below.

If a man put out the eye of another man, his eye shall be put out. [ An eye for an eye ]

Code of Hammurabi Line 196

The example above is the law of retribution or lex talionis. The law of retribution is found in many other places. One example would be the Bible. A later King named Nebuchannezer developed the idea of incentives by providing more food to workers who produced more.

Ancient Egypt also had contributed to management when they developed ideas behind the division of labor. Dividing labor is taken for granted; however, when agrarian cultures moved towards developing trade and cities, everyone did not have the time to farm. By dividing labor, people could focus and become highly competent at something. In addition, division of labor allows some of the Egyptians to develop the pyramids.

Management In China and the West

In China, Sun Tzu and his “Art of War” lays down many ideas related to management. Ideas behind resources management, inspiring the people, and examining oneself are all addressed in this classic. Countless managers have read and received inspiration from this practical book.

The Han dynasty of China (206 BC – 220 AD) also contributed to management through its development of bureaucracy. The large governmental system that was important at this time helped the dynasty control and monitor the people while also providing opportunities to people good enough to pass the various civil servant exams.

The Greeks and the Romans have also made their contributions to management. The Greeks also developed division of labor, or perhaps they borrowed the idea from the Egyptians with who they had frequent contact through trade. The Romans gave the world standardization. Standardizing everything allowed the Romans to produce things much faster for conquest. The Romans could pave the world because the roads were generally built the same way, saving time and resources.

Conclusion

Management will continue to play a role in the world as the world becomes more complex. Therefore, it will be interesting to see what the next generation of innovations will be.

Natural Language Process and WordClouds with Python VIDEO

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Natural language processing is a tool used in data science to modify texts in order to extract meaning. The video below will go through some basics of this processing. For an added bonus, there is also an example of making a word cloud.

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Challenges to Decision-Making

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Decisions are a critical part of the life of people, whether teachers or leaders. Even though this is an important skill, many people struggle with making decisions about important and even mundane matters. In this post, we will look at several challenges to making decisions.

Sunk Cost

There are times when a decision is made, and after some time, all parties involved begin to realize it was a bad decision. The challenge in this context is that since time and resources have already been devoted to this bad choice, maybe if everyone is patient, things will begin to work out. Generally, this is not the case.

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Organizations and schools make this kind of mistake all the time. For example, a new curriculum or technology is adopted by the school. It is clear that this software or tech is not working, but a commitment has already been made. Such a situation can lead to a great deal of frustration among faculty and staff.

Uncertainty

Nobody can predict the future. When it is unclear in terms of what to expect, it can lead to analysis paralysis, which essentially means that leadership or the teacher tries not to make a decision until new evidence arises. Unfortunately, new evidence is normally not forthcoming except that there is now less time to decide, and options begin to disappear because of lost time.

Since there is no way to be 100% sure of anything, the next best approach may be to make small incremental decisions and or take a step forward and be bold and see what happens. Neither of these alternatives is attractive, but there are times when a decision must be made.

Temporal Constraint

Due to procrastination, there are times when there is not enough time to decide. Again, some teachers and leaders what as long as possible and then go with the only viable option when they are forced to decide. When this happens, the teacher can blame the context for what happened when the reality is that they did not want to make a decision. There is no better excuse than a lack of time in many situations.

Time can be an ally in decision-making if used for thinking rather than for avoiding making a decision. Too often, people fall for the temptation of letting circumstances dictate their choices.

Limits of Reasoning

While thinking is good, there are limits to what reasoning can accomplish. There is no way to collect all data and process all possibilities when it is time to decide. Eventually, there comes the point where a teacher has thought enough about a decision and must make a decision. However, not too many people fall for the trap of limited reasoning as reasoning is not generally encouraged in this day and age.

Bias

People are often more comfortable with situations in which their own ideas and beliefs agree with the decision to be made. For example, a group of teachers may agree on something because they share similar backgrounds and thus have a similar perspective on a matter. This is an example of confirmation bias in which a person looks for information in agreement with their own position. Such examples can include people who agree with you or information that supports your position.

Bias is not always bad. If a decision needs to be made quicker, then a group of people with similar views can agree fast. However, suppose the goal is a creative or innovative solution. In that case, a diverse group is more likely to challenge and stretch each other to a novel idea.

Conflict

The final barrier to decision-making is conflict. Most people want to avoid conflict as it can lead to disharmony and other problems. However, people will not agree in the decision-making process, and they often like their idea at the expense of other people’s ideas.

There are two forms of conflict. Process conflict is disagreements about doing something and is not about an individual. Relationship conflict is personal and involves attacks on the person rather than the process or idea. Process conflict can lead to better processes, but once it becomes personal, it can collapse the decision-making process. It is difficult for many people to separate themselves from their shared ideas, but learning to do this is highly beneficial for the decision-making experience.

Conclusion

Decisions need to be made alone and in groups. Whatever the case may be, there are impediments to the decision-making process that people need to be aware of. The ideas presented here are just some of the challenges awaiting people who need to make up their minds about something.