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Thursday, February 13, 2020

Central Tendency and Measures of Dispersion | Introduction to Educational Statistics | BEd Solved Assignment Course Code 8614

Q.3: Explain the measures of central tendency and measures of dispersion. How these two concepts are related?  How these two concepts are related? Suggest one measure of dispersion for each measure of central tendency with logical reasons.

  • Course: Introduction to Educational Statistics (8614)
  • Level: B.Ed (1.5 Years)

Answer:

Collecting data can be easy and fun. But sometimes it can be hard to tell other people about what you have found. That’s why we use statistics. Two kinds of statistics are frequently used to describe data. They are measures of central tendency and dispersion. These are often called descriptive statistics because they can help you describe your data.

Mean, median, and mode


These are all measures of central tendency. They help summarize a bunch of scores with a single number. Suppose you want to describe a bunch of data that you collected to a friend for a particular variable like the height of students in your class. One way would be to read each height you recorded to your friend. Your friend would listen to all of the heights and then come to a conclusion about how tall students generally are in your class, but this would take too much time. Especially if you are in a class of 200 or 300 students! Another way to communicate with your friend would be to use measures of central tendency like the mean, median, and mode. They help you summarize bunches of numbers with one or just a few numbers. They make telling people about your data easy.

Range, variance, and standard deviation


These are all measures of dispersion. These help you to know the spread of scores within a bunch of scores. Are the scores really close together or are they really far apart? For example, if you were describing the heights of students in your class to a friend, they might want to know how much the heights vary. Are all the men about 5 feet 11 inches within a few centimeters or so? Or is there a lot of variation where some men are 5 feet and others are 6 foot 5 inches? Measures of dispersion like the range, variance, and standard deviation tell you about the spread of scores in a data set. Like central tendency, they help you summarize a bunch of numbers with one or just a few numbers.

How these two concepts are related? Suggest one measure of dispersion for each measure of central tendency with logical reasons.


In many ways, measures of central tendency are less useful in statistical analysis than measures of dispersion of values around the central tendency.  The dispersion of values within variables is especially important in social and political research because:
       Dispersion or "variation" in observations is what we seek to explain.
   Researchers want to know WHY some cases lie above average and others below average for a given variable:
       TURNOUT in voting: why do some states show higher rates than others?
       CRIMES in cities: why are there differences in crime rates?
       CIVIL STRIFE among countries: what accounts for differing amounts?
       Much of statistical explanation aims at explaining DIFFERENCES in observations --  also known as
§  VARIATION, or the more technical term, VARIANCE.
The SPSS Guide contains only the briefest discussion of measures of dispersion on pages 23-24.
       It mentions the minimum and maximum values as the extremes, and
       it refers to the standard deviation as the "most commonly used" measure of dispersion.
This is not enough, and we'll discuss several statistics used to measure variation, which differ in their importance.
       We'll proceed from the less important to the more important, and
       we'll relate the various measures to measurement theory.

Easy-to-Understand Measures of dispersion for NOMINAL and ORDINAL variables

In the great scheme of things, measuring dispersion among nominal or ordinal variables is not very important.
   There is inconsistency in methods to measure dispersion for these variables, especially for nominal variables.
   Measures suitable for nominal variables (discrete, non-order able) would also apply to discrete order able or continuous variables, order able, but better alternatives are available.
  Whenever possible, researchers try to re-conceptualize nominal and ordinal variables and operationalize (measure) them with an interval scale.

Variation Ratio, VR

       VR = l - (proportion of cases in the mode)
       The value of VR reflects the following logic:
§  The larger the proportion of cases in the mode of a nominal variable, the less the variation among the cases of that variable.
§  By subtracting the proportion of cases from 1, VR reports the dispersion among cases.
o   This measure has an absolute lower value of 0, indicating NO variation in the data (occurs when all the cases fall into one category; hence no variation).
o   Its maximum value approaches one as the proportion of cases inside the mode decreases.
       Unfortunately, this measure is a "terminal statistic":
§  VR does not figure prominently in any subsequent procedures for statistical analysis.
§  Nevertheless, you should learn it, for it illustrates
o   That even nominal variables can demonstrate variation
o   That the variation can be measured, even if somewhat awkwardly.

Easy-to-understand measures of variation for CONTINUOUS variables.


RANGE: the distance between the highest and lowest values in a distribution
       Uses information on only the extreme values.
       Highly unstable as a result.
SEMI-INTERQUARTILE RANGE: distance between scores at the 25th and the 75th percentiles.
       Also uses information on only two values, but not ones at the extremes.
       More stable than the range but of limited utility.

AVERAGE DEVIATION:

where |X, -X’|  =  absolute value of the differences
Absolute values of the differences are summed, rather than the differences themselves, for summing the positive and negative values of differences in a distribution calculating from its mean always yields 0.
       The average deviation is simple to calculate and easily understood.
   But it is of limited value in statistics, for it does not figure in subsequent statistical analysis.

  For mathematical reasons, statistical procedures are based on measures of dispersion that use SQUARED deviations from the mean rather than absolute deviations.

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Wednesday, February 12, 2020

Course Code 8614 | What is normal distribution? Explain the role of normal distribution in decision making for data analysis. Write a note on Skeweness and Kurtosis and explain its causes. | Introduction to Educational Statistics | BEd Solved Assignment Course Code 8614

What is normal distribution? Explain the role of normal distribution in decision-making for data analysis. Write a note on Skewness and Kurtosis and explain its causes.

Course: Introduction to Educational Statistics (8614) 

Level: B.Ed (1.5 Years)


Answer:


In probability theory, the normal (or Gaussian) distribution is a very common continuous probability distribution. Normal distributions are important in statistics and are often used in the natural and social sciences to represent real-valued random variables whose distributions are not known. A random variable with a Gaussian distribution is said to be normally distributed and is called a normal deviate.

The normal distribution is useful because of the central limit theorem. In its most general form, under some conditions (which include finite variance), it states that averages of samples of observations of random variables independently drawn from independent distributions converge in distribution to the normal, that is, become normally distributed when the number of observations is sufficiently large. Physical quantities that are expected to be the sum of many independent processes (such as measurement errors) often have nearly normal distributions. Moreover, many results and methods (such as propagation of uncertainty and least squares parameter fitting) can be derived analytically in explicit form when the relevant variables are normally distributed.  The normal distribution is sometimes informally called the bell curve. However, many other distributions are bell-shaped (such as the Cauchy, Student's t, and logistic distributions).

The normal distribution is widely observed. Furthermore, it frequently can be applied to situations in which the data is distributed very differently. This extended applicability is possible because of the central limit theorem, which states that regardless of the distribution of the population, the distribution of the means of random samples approaches a normal distribution for a large sample size.

Applications to Business Administration


The normal distribution has applications in many areas of business administration. For example:
·      Modern portfolio theory commonly assumes that the returns of a diversified asset portfolio follow a  normal distribution.


·          In operations management, process variations often are normally distributed.


·      In human resource management, employee performance sometimes is considered to be normally distributed.


The normal distribution often is used to describe random variables, especially those having symmetrical, unimodal distributions. In many cases, however, the normal distribution is only a rough approximation of the actual distribution. For example, the physical length of a component cannot be negative, but the normal distribution extends indefinitely in both the positive and negative directions. Nonetheless, the resulting errors may be negligible or within acceptable limits, allowing one to solve problems with sufficient accuracy by assuming a normal distribution.

Skewness and Kurtosis

Skewness and kurtosis are two commonly listed values when you run a software’s descriptive statistics function.   Many books say that these two statistics give you insights into the shape of the distribution.

Skewness is a measure of the symmetry in a distribution. An asymmetrical dataset will have a skewness equal to 0.   So, a normal distribution will have a skewness of 0. Skewness essentially measures the relative size of the two tails.

Kurtosis is a measure of the combined sizes of the two tails. It measures the amount of probability in the tails.  The value is often compared to the kurtosis of the normal distribution, which is equal to 3.   If the kurtosis is greater than 3, then the dataset has heavier tails than a normal distribution (more in the tails).   If the kurtosis is less than 3, then the dataset has lighter tails than  a normal distribution (less in the tails).   Careful here.   Kurtosis is sometimes reported as “excess kurtosis.”   Excess kurtosis is determined by subtracting 3 from the kurtosis.  This makes the normal distribution kurtosis equal 0.  Kurtosis originally was thought to measure the peakedness of a distribution. Though you will still see this as part of the definition in many places, this is a misconception.

Skewness and kurtosis involve the tails of the distribution.  These are presented in more detail below.

SKEWNESS

Skewness is usually described as a measure of a dataset’s symmetry – or lack of symmetry.   A perfectly symmetrical data set will have a skewness of 0.    The normal distribution has a skewness of 0.
The skewness is defined as (Advanced Topics  in Statistical Process Control, Dr. Donald Wheeler,


where n is the sample size, Xi is the ith value, X is the average and s is the sample standard deviation.   Note the exponent in the summation.   It is “3”.   The skewness is referred to as the “third standardized central moment for the probability model.”

Most software packages use a formula for the skewness that takes into account sample size:




This sample size formula is used here.   It is also what Microsoft Excel uses.   The difference between the two formula results becomes very small as the sample size increases.

Figure 1 is a symmetrical data set.   It was created by generating a set of data from 65 to 135 in steps of 5 with the number of each value as shown in Figure 1.    For example, there are 3 65’s, 6 65’s, etc.

Related Topics

Chi-Square, and independent test.

ANOVA and its Logics

Median (Procedure of Determination, Merits, Demerits)

Measures of Dispersion

Descriptive and Inferential Statistics

What is data Cleaning? Importance and Benefits of Data Cleaning 

Explain the terms Degree of Freedom,Spread of Score,Sample,Z Score,Confidence Interval 

What is measure of difference? Explain different types of test

Concept of Reliability, Types and methods of Reliability

Level of Measurement

Types of Variable in Stats 

Measures of Central Tedency and Dispersion, 

Role of Normal Distribution, and also note on Skewness and Kurtosis

Methods of Effective Presentation



Explain different methods of effective presentation of data. List different types of graphs and write note on each type| Introduction to Educational Statistics | BEd Solved Assignment Course Code 8614


Explain different methods of effective presentation of data. List different types of graphs and write a note on each type.

  • Course: Introduction to Educational Statistics (8614)
  • Level: B.Ed (1.5 Years)

Answer:


The presentation of data is tricky. Not everyone in your audience likes to crunch numbers. Learn 5 ways to make your audience understand your message in 2 seconds or less.

Numbers are distracting

When you present numbers on your slides, you can expect two types of reactions from your audience. One set of audience hates numbers and tunes off. Another set loves to crunch numbers and take off on a tangent. As a presenter, you lose either way unless you know how to guide your audience's attention by making your message obvious. You can also present information creatively to make it interesting.

Here are the 5 tips to present your key message in 2 seconds.

1. Use simple 2D charts instead of complex 3D charts

We don’t doubt the fact that 3D charts look cool. But, when you use  3D, you make your audience work hard. You give them an additional dimension to think about. This delays their understanding.

Let’s do a quick makeover of a 3D chart to convey the key message in under 2 seconds:





The slide looks very colorful but complex. The chart says which product performed how well in each month over the past 6 months. Phew! That’s a lot to grasp at one time. Avoid any Presentation tips that require you to make information complex.

Consider this alternative presentation of the same data:





We used a simple 2D line graph to show the trend over time. The title gives a clear idea of what to look for in the slide. In 2 seconds your audience ‘gets’ the message of the slide.
To learn 29 creative ways to present data and other components of your presentations creatively, check the free Creative Presentation Ideas e-course.

2. Use labels instead of legends

Take a look at this slide with a pie chart:





Though it’s a simple chart to grasp, the legends placed off the chart delay understanding. Your audience needs to refer to the legends each time to make sense of the colors.

Consider this alternative pie chart:





The audience can find all the relevant information in one place instead of having to search around
the slide. The slide title gives the core message. The relevant part of the pie chart is isolated
for easy reference. So, your audience ‘gets’ your message under 2 seconds.

3. Make your key point stand out

Take a look at this slide with data:




Can you tell me what the key message of the slide is? Neither can your audience. Slides without a clear focus take a long time to understand. You can read further tips for data presentation here.
Consider this alternative slide with a graph:





The key point almost jumps out of the slide. To make a presentation of data effective, we ruthlessly removed everything that could potentially distract the audience's attention. There are no grid lines. Units on the y-axis are replaced by data labels. The key number is made larger than the rest. Naturally, your audience gets the message in under 2 seconds.

Different types of graphs:

There are different types of graphs in mathematics and statistics that are used to represent data in a pictorial form. Among the various types of charts or graphs, the most common and the most widely used ones are given and explained below.

Types of Graphs and Charts

        Statistical Graphs (bar graph, pie graph, line graph, etc.)
        Exponential Graphs
        Logarithmic Graphs
        Trigonometric Graphs
        Frequency Distribution Graph
All these graphs are used in various places to represent a certain set of data concisely. The details of each of these graphs (or charts) are explained below in detail which will not only help to know about these graphs better but will also help to choose the right kind of graph for a particular data set.

Statistical Graphs

A statistical graph or chart is defined as the pictorial representation of statistical data in graphical form. Statistical graphs are used to represent a set of data to make it easier to understand and interpret statistical data.

Exponential Graphs

Exponential graphs are the representation of exponential functions using the table of values and plotting the points on graph paper. It should be noted that the exponential functions are the inverse of logarithmic functions. In the case of exponential charts, the graph can be an increasing or decreasing one based on the function. An example is given below which will help to understand the concept of graphing exponential function easily.
For example, the graph of y = 3x is an increasing one while the graph of y = 3-x is a decreasing one.




Logarithmic Graphs

Logarithmic functions are inverse of exponential functions and the methods of plotting them are similar. To plot logarithmic graphs, it is required to make a table of values and then plot the points accordingly on graph paper. The graph of any log function will be the inverse of an exponential function. An example is given below for a better understanding.

For example, the inverse graph of y = 3x will be y = log3 {x) which will be as follows:




Trigonometric Graphs

Trigonometry graphs are plotted for the 6 trigonometric functions which include sine function, cosine function, tangent function, cotangent function, cosec function, and sec function. Visit trigonometry graphs to learn the graphs of each of the functions in detail along with their maximum and minimum values and solved examples.



Frequency Distribution Graph

A frequency distribution graph is used to show the frequency of the outcomes in a particular sample. For frequency distribution graphs, the table of values is made by placing the outcomes in one column and the number of times they appear (i.e. frequency) in the other column.

This table is known as the frequency distribution table. There are two commonly used frequency graphs which include: 

  • Frequency Polygon        
  • Cumulative Frequency Distribution Graphs



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Tuesday, February 4, 2020

Course Code 8612 | Changing Role of Teacher in 21st century | Professionalism in Teaching (8612) | BEd Solved Assignment


Critically comment on changing the role of teacher in 21st century.


Course: Professionalism in Teaching (8612)
Semester: Spring, 2019
Course Code: 8612
Level: B. Ed (1.5 Years)
ASSIGNMENT No. 1

Answer:


A nation depends on the activities of the teachers. Identically, they are working to grow the basement of the students. No matter it is school, college or university, a qualified teacher is the builder of a student. Even a teacher on the special skills or technical courses is keeping role responsibilities on the societies. For this reason, the leader of tomorrow is created by a teacher. At the same time, if a teacher fails to discover the eternal power of a student, the student fails in his whole life. That means a teacher is the best mentor for a life of the student.

The education system of the 21st century has changed radically with the integration of the technology in every sector. At the same time, the students are more matured than the previous time. Now, in the twenty-first-century education depends on Thinking Skills, Interpersonal Skills, Information Media, Technological Skills as well as Life Skills. Especially, the education of the present time emphasis on life and career skills. Now there has no value for rote learning. In general, it needs to meet the industry need. To clarify, the teaching will be effective when a student can use the lesson outside of the classroom.

Changing role of teachers in the 21st century for changing the globalizing world, the role of the teachers is essential to improve the sustainable education. At the same time, inspiring and guiding the students in increasing employability skills with the digital tools is the prerequisite for a teacher. Thus a teacher in the twenty-first century will be a digital teacher. Teachers are not the facilitator for learning of the students only, and now they are responsible for training  the students for increasing employability skills, expanding the mind, growing digital citizenships, critical thinking, and creativity as well as sustainable learning. Thus, the winning of the students is the win of the teachers.

With the passes of time and integration of technology in every sector, the teacher’s role has changed a lot. They need to enrich some skills to develop their students. Otherwise, the students will not get the lesson, and it will increase the of educated unemployed in the digital era. Let’s see the changing role of a teacher in the 21st century.

1. A Planner for 21st Century Careers

This is the most competitive world, and there has the diverse option to choose the next career for a student. In this case, a teacher needs to become a b ig planner to support them according to their psychology. The future of a student will depend on 4C’s (Critical thinking, Communication, Collaboration, and Creativity). It is the duty of a teacher to introduce them the mentioned terms very clearly. The students will need to try several multidisciplinary jobs.



So the teachers will define where they will give more importance and which skills are just for adding value or keeping as optional. Besides, if an educator can provide a proper guideline to build the career in the 21st century for the students, he will be the all-rounder in his career and life. Do you know the quotes from the American Philosopher Nancy Kassebaum? If we teach today as we taught yesterday, we rob our children of tomorrow.

2. A Resource Provider

In this digital age, the internet is full of supportive resources. When a teacher teaches the students from a collaborative perspective, the students will learn more deeply if they get the resources. It can be YouTube Video Tutorial, Digital Content, eBooks or even the printing documents. If the student receives the supportive materials on how to enrich Critical thinking, Communication skills, Collaboration, and Creativity, they can lead their own future. A teacher can show the resources according to their interest. Even a teacher can’t be expert on the topics, albeit he can easily point the links of the supportive materials. It will ensure better learning environments and the students will be engaged with the lesson.

3. A digital Instructor for Different Ways of Learning

Effective teachers don’t limit the learning resources for the students. Correspondingly, they are the best instructor for the students. In contrast, they will create the learning materials entertaining. In the digital age, you can find a lot of resources who are teaching the course efficiently. The instructor knows how to make the meaningful learning opportunities for all students. Providing practical examples in the classroom or collaborating in a class with another teacher can also help them to learn perfectly. To emphasize, they know mixing the knowledge with an expert collaborator can make the student motivated.




4. Learning Facilitator

A digital teacher or leader in the teaching profession doesn’t teach the students only. Also, they help their colleagues to become the supporter of technology and show them how to find the online resources and how to stay updated on their subject. They know how to enjoy the work and how to make the lesson enjoyable. That means they are the facilitator for all the students and teachers. Remember, if you can share your knowledge you will learn more deeply. Similarly, the people will love you.

5. A Technology Lover for Learning

Now, it is so tough to attract the students without the use of technology. If you don’t teach the right use of technology and how to find the internet resources, they will get the evil resources. Important to realize, a teacher needs to learn how to read the psychology and what the students want. With attention to, if you can’t maintain the online community with the students, you will not be able to inform the students about the world. Indeed, there has no way of the teachers to deal with the students without learning the technology and internet world. As a result, when you want to build the nation, you have to develop yourself first. Must be remembered, you have to know how the Google Advanced Search process works.

6. A digital Learner for the lifetime

Effective teachers who are the builders of a nation are the lifetime learner. To point out, they keep knowledge of the latest changes in their subject. Then again, they keep knowledge about which jobs will be available in the next decade. In addition, they learn the newest technology to help the students. To put it differently, they know how to combine the technology, pedagogy, and content which will ensure Real-World Problem Solving and cooperative learning. To summarize, a teacher needs to follow the quotes from Henry Ford.




Sunday, February 2, 2020

Course Code 8612 | Describe the code of professional conduct and values in teaching profession | Professionalism in Teaching (8612) | BEd Solved Assignment

Q. 3: Discuss professionalism and teaching profession in Islamic teachings?

Course: Professionalism in Teaching (8612)
Semester: Spring, 2019
Course Code: 8612
Level: B. Ed (1.5 Years)
ASSIGNMENT No. 1

Answer:


Teaching is one of the most respectful and valuable professions in the world. In religion Islam, this profession has more importance as our beloved Prophet Muhammad (SAW) introduced himself as a teacher.
Allah Almighty says in Holy Quran: 
“Like (a favor which you have already received) in that We have sent among you a Messenger of your own, rehearsing to you Our verses, and purifying you, and instructing you in scripture and wisdom, and in new knowledge” (Quran, 2: 151).

According to this verse of Holy Quran Holy Prophet (SAW) were sent to teach about the Holy Book Quran, the wisdom and unknown things to the people of this world.

As we all know that the person who teaches is a teacher, a man of obedience and respect. Teachers are some of the most influential people in society and  have great importance in modern society. Teachers bear the responsibility of molding students’ personalities and educating them. Teachers are considered the most honored person in every religion. Due to the important role of teachers, Islam has granted high status and rights to teachers. Islam has paid great attention to teachers for their being the first brick in the structure of social development and perfection and the cause of guiding and developing behaviors and mentalities of individuals and communities. We can understand the highest rank of teachers from the Quote of Hazrat Ali (RA) in which He (RA) stated that:

"If a person teaches me one single word, he has made me his servant for a lifetime."


The teacher is considered the profound father in religion Islam. All Prophets were the teacher that sent before Prophet Muhammad (SAW) and obviously, Holy Prophet (PBUH) was also the great teacher for all mankind. Prophet Muhammad (SAW) teaches us how to worship Allah, how to implement teachings of the Quran in our daily lives and many other things. Islam lays great emphasis on knowledge. At numerous times and instances, Allah Almighty ordered the Muslims to acquire knowledge and learn. Islam lays so much stress on seeking knowledge and also on giving the respect to the ones who imparted knowledge. That’s why teachers have the highest status in Islam.  
In Holy Quran Almighty Allah says:
"Allah elevates to high positions those from amongst you who are faithful and those who have acquired knowledge." (Quran, 58:11)
  

Rights of Teachers

 A teacher teaches the person so he has some rights some of them are mentioned below:

·         Lead his pupil means it’s the duty of the teacher to make his student smarter and have a good Akhlaq.
·         Get reward and appreciation. The teacher is the spiritual father of the student as he is the one who provides spiritual nourishment and improves the behavior of learners. That’s why we should appreciate teachers for their great work.
·         Teachers should have freedom of expression, obstacles and intervention should be cleared.
·         Teachers should get respect from other people. We need to respect the teacher who is willing to give us the knowledge.
·         Teachers should get good treatment to make his job easier.
·         Teachers should have freedom in giving judgment.
·         Teachers should acquire and utilize learning facilities and infrastructure.
·         Teachers should get physical and spiritual needs.

·         In short, we should know respect and become closer to the teacher who is willing to give us education and knowledge.  Always respect your teacher.


Course Code 8612 | Describe the code of professional conduct and values in teaching profession | Professionalism in Teaching (8612) | BEd Solved Assignment

Q. 3: Describe the code of professional conduct and values in teaching profession.


Course: Professionalism in Teaching (8612)
Semester: Spring, 2019
Course Code: 8612
Level: B. Ed (1.5 Years)
ASSIGNMENT No. 1

Answer:


Yes, in most cases businesses will combine both of these documents into one as there is significant overlap between them. It is rare to find businesses that have two separate policies.


Whilst they are technically different documents, employees will have less difficulty recalling important points around conduct and ethics if they have a single document to refer to.

Code of Ethics and Professional Conduct 

Sample Template:

1. Be inclusive.

We welcome and support people of all backgrounds and identities. This includes, but is not limited to members of any sexual orientation, gender identity and expression, race, ethnicity, culture, national origin, social and economic class, educational level, color, immigration status, sex, age, size, family status, political belief, religion, and mental and physical ability.

2. Be considerate.

We all depend on each other to produce the best work we can as a company. Your decisions will affect clients and colleagues, and you should take those consequences into account when making decisions.


3. Be respectful.

We won't all agree all the time, but disagreement is no excuse for disrespectful behavior. We will all experience frustration from time to time, but we cannot allow that frustration become personal attacks. An environment where people feel uncomfortable or threatened is not a productive or creative one.


4. Choose your words carefully.

Always conduct yourself professionally. Be kind to others. Do not insult or put down others. Harassment and exclusionary behavior aren't acceptable. This includes, but is not limited to:
        Threats of violence.
        Insubordination.
        Discriminatory jokes and language.
        Sharing sexually explicit or violent material via electronic devices or other means.
        Personal insults, especially those using racist or sexist terms.
        Unwelcome sexual attention.
        Advocating for, or encouraging, any of the above behavior.

5. Don't harass.

In general, if someone asks you to stop something, then stop. When we disagree, try to understand why. Differences of opinion and disagreements are mostly unavoidable. What is important is that we resolve disagreements and differing views constructively.



6. Make differences into strengths.

We can find strength in diversity. Different people have different perspectives on issues, and that can be valuable for solving problems or generating new ideas. Being unable to understand why someone holds a viewpoint doesn’t mean that they’re wrong. Don’t forget that we all make mistakes and blaming each other doesn’t get us anywhere.


Different kinds of standards in teaching profession:

Commitment to Students and Student Learning:  Members are dedicated in their care and commitment to students. They treat students equitably and with respect and are sensitive to factors that influence individual student learning. Members facilitate the  development of students as contributing citizens of Canadian society.



Professional Knowledge:  Members strive to be current in their professional knowledge and recognize its relationship to practice. They understand and reflect on student development, learning theory, pedagogy, curriculum, ethics, educational research and related policies and legislation to inform professional judgment in practice.



Professional Practice:  Members apply professional knowledge and experience to promote student learning. They use appropriate pedagogy, assessment and evaluation, resources and technology in planning for and responding to the needs of individual students and learning communities. Members refine their professional practice through ongoing inquiry, dialogue and reflection.



Leadership in Learning Communities:  Members promote and participate in the creation of collaborative, safe and supportive learning communities. They recognize their shared responsibilities and their leadership roles in order to facilitate student success. Members maintain and uphold the principles of the ethical standards in these learning communities.




Ongoing Professional Learning:  Members recognize that a commitment to ongoing professional learning is integral to effective practice and to student learning. Professional practice and self-directed learning are informed by experience, research, collaboration and knowledge.




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