INFORMATION AND COMMUNICATION TECHNOLOGY
COMMUNICATION: Introduction
Communication is an indispensable tool in all areas of human interaction. But it is a process that is complex. The extent of its complexity can be seen in the variety of ways in which it can be defined. Thus, communication is any behavior, verbal, nonverbal or graphic that is perceived by another. It involves a web of activities that differ in different situations. In the workplace, for example, you would probably communicate differently when talking formally to customers as compared to informally with a peer. How you perceive the situation will often determine your communication behavior.
FORMS AND TYPES OF COMMUNICATION
People communicate with each other in a variety of ways that depend on the message they want to send and the context in which it is to be sent. As a result there are a variety of forms and types of communication such as e-mail, face-to-face, telephone, meetings, corridor conversations and seminars. Dwyer categorizes these into
Three forms of communication - verbal, nonverbal and graphic
Four types of communication - intrapersonal, interpersonal, public and mass.
COMMUNICATION MODELS AND THEORIES
'Communication is a dynamic and interactive process'. Just as there are many definitions of communication, so there are many models of communication, each providing different views of how people transfer and interpret information. Like a jigsaw puzzle, each model provides a part of the picture, but no one model seems to cover all aspects.
BERLO'S MODEL
Berlo's focus remained on the transmission model of communication. However, he introduced more of the human elements, such as the relationship between the message channel and the five senses. Effective communication involves both the sender and the receiver. The sender must be as clear as possible and the receiver must signal understanding or clarification. It involves both content and relationship elements
Content = message, idea
relationship = emotions, power, status
personal Encoding and decoding are based on a person's perception of the world.
THE TRANSMISSION MODEL
The transmission model is concerned with the transfer of meaning from the sender to the receiver. Communication is a one way process.
THE PROCESS MODEL
The transmission model was subsequently adapted to form the process models in which people transmit, receive, interpret and respond to messages with feedback. The process models have seven main elements:
Sender
Message
Receiver
Feedback
Channel
Context or setting (environment)
Noise or interference
in the process models, a message is encoded by the sender through a communication channel, such as voice or body language, and then decoded by the receiver. The receiver then provides feedback. The process is influenced by the context of the situation and any noise or interference.
NOTES ON COMMUNICATION: Continued
COMMUNICATION BARRIERS
Ineffective communication can lead to errors, misunderstanding, poor performance, lower motivation and morale, negative feelings in the workplace and many other issues that may detract from achieving organizational goals. It is, therefore, important to try to minimize barriers to effective and efficient communication: communication barriers distort or interrupt the message and its meaning
ORGANIZATIONAL COMMUNICATION
Communication in an organization may be used to influence, inform, control or inspire. Organizational communication can be divided into two broad categories - formal or structured (within the 'systems' established by management) and informal (as when co-workers chat about company matters). Both areas are significant and both need to be 'healthy' for the organization to be healthy.
FORMAL COMMUNICATION CHANNELS AND NETWORKS
Formal communication channels follow the organizational structure or hierarchy and flow in four directions:
These four directions in which communication can travel are: downward; upward; lateral or horizontal; and diagonal.
Downward (1) communication involves communication from higher to lower levels so that leadership can communicate goals, strategies or role expectations.
Upward (2) communication flows from lower levels to higher levels of the organization, for example, when there is a need to communicate problems, results or suggestions.
Horizontal (3) communication occurs across the same level and involves for example, coordination of activities with peers (teams, committees), dissemination of useful information from one department to another (for example sales forecasts from the sales department to production, and problems such as a problem with product design from the production department to research and development). Horizontal communication facilitates the linking of different areas of expertise and this may encourage innovation.
Diagonal (4) channels may potentially cause conflict as they involve communication between the lower level of one department to a higher level in another. In the diagram above, this may cause friction between the employee in accounting department C and the Vice-President (VP) of Accounting as the employee has gone around his or her own superior. Nevertheless this type of communication may be useful as it may simply be information relevant to the Marketing Department and the VP Accounting does not need to be involved.
Formal communication networks also occur within the hierarchy of the organization and reflect how groups of employees, for example those in a department, work together. Networking or mapping the flow of communication in an organization can be a useful device. This can identify who is communicating with whom and whether the lines of communication are effective and efficient, or whether there is potential for destructive conflict or tension arising from the communication channels (for example, inappropriate diagonal communication).
FORMAL COMMUNICAITON: PROBLEMS AND SOLUTIONS.
Many communication problems arise from the structure of the organization. Dwyer mentions three related organizational factors: centralization; the creation of too many organizational layers; and the structure of the organization. Other factors may include downsizing which leads to ambiguous reporting structure and poor leadership. Many of these problems may be overcome by:
analyzing the organization structure and communication networks for barriers to effectiveness and efficiency ensuring downsizing is well planned and the 'survivors' (those left in the organization) understand the impact of the process on communication networks and procedures recruiting for competent communication, particularly when recruiting for leadership roles.
INFORMAL COMMUNICATION
Informal organizational communication exists outside the formal lines of the organizational structure. An example of this is friendship groups. The informal communication channel serves two main purposes: it permits employees to satisfy their need for social interaction in the workplace and it can improve an organization’s performance by creating alternative, and frequently faster and more efficient, channels of communication (Robbins et al. 2000).
One of the most common forms of informal communication is 'the grapevine'. According to Kreitner and Kinicki (1995) the term grapevine originated from the American Civil War practice of stringing battlefield telegraph lines between trees as a means of efficient communication. Now it supplements the formal channels of communication.
Tuesday, September 15, 2009
RESEARCH APTITUDE
RESEARCH APTITUDE
Types of Research - Definitions
Action research is a methodology that combines action and research to examine specific questions, issues or phenomena through observation and reflection, and deliberate intervention to improve practice.
Applied research is research undertaken to solve practical problems rather than to acquire knowledge for knowledge sake.
Basic research is experimental and theoretical work undertaken to acquire new knowledge without looking for long-term benefits other than the advancement of knowledge.
Qualitative research is research undertaken to gain insights concerning attitudes, beliefs, motivations and behaviors of individuals to explore a social or human problem and include methods such as focus groups, in-depth interviews, observation research and case studies.
Quantitative research is research concerned with the measurement of attitudes, behaviors and perceptions and includes interviewing methods such as telephone, intercept and door-to-door interviews as well as self-completion methods such as mail outs and online surveys.
Three basic types of questions that research projects:
Descriptive. When a study is designed primarily to describe what is going on or what exists. Public opinion polls that seek only to describe the proportion of people who hold various opinions are primarily descriptive in nature. For instance, if we want to know what percent of the population would vote for a BJP or Congress in the next election, we are simply interested in describing something.
Relational. When a study is designed to look at the relationships between two or more variables. A public opinion poll that compares what proportion of males and females say they would vote for a BJP or Congress candidate in the next election is essentially studying the relationship between gender and voting preference.
Causal. When a study is designed to determine whether one or more variables (e.g., a program or treatment variable) causes or affects one or more outcome variables. If we did a public opinion poll to try to determine whether a recent political advertising campaign changed voter preferences, we would essentially be studying whether the campaign (cause) changed the proportion of voters who would vote BJP or Congress (effect).
Time is an important element of any research design. The most fundamental distinctions in research design nomenclature: cross-sectional versus longitudinal studies. A cross-sectional study is one that takes place at a single point in time. In effect, we are taking a 'slice' or cross-section of whatever it is we're observing or measuring. A longitudinal study is one that takes place over time -- we have at least two (and often more) waves of measurement in a longitudinal design.
A variable is any entity that can take on different values. Anything that can vary can be considered a variable. For instance, age can be considered a variable because age can take different values for different people or for the same person at different times. Similarly, country can be considered a variable because a person's country can be assigned a value.
There is a distinction between an independent and dependent variable. In fact the independent variable is what you (or nature) manipulates -- a treatment or program or cause. The dependent variable is what is affected by the independent variable -- your effects or outcomes. For example, if you are studying the effects of a new educational program on student achievement, the program is the independent variable and your measures of achievement are the dependent ones.
A hypothesis is a specific statement of prediction. It describes in concrete (rather than theoretical) terms what you expect will happen in your study. Not all studies have hypotheses. Sometimes a study is designed to be exploratory.
RESEARCH APTITUDE
SAMPLING: Sampling is the process of selecting units (e.g., people) from a population of interest so that by studying the sample we may fairly generalize our results back to the population from which they were chosen. A response is a specific measurement value that a sampling unit supplies. If you measure the entire population and calculate a value like a mean or average, it is called parameter of the population. The distribution of an infinite number of samples of the same size as the sample in your study is known as the sampling distribution.
In sampling contexts, the standard error is called sampling error. Sampling error gives us some idea of the precision of our statistical estimate. A low sampling error means that we had relatively less variability or range in the sampling distribution. How do we calculate sampling error? on the standard deviation of our sample. The greater the sample standard deviation, the greater the standard error /the sampling error. The standard error is also related to the sample size. The greater your sample size, the smaller the standard error. Because the greater the sample size, the closer your sample is to the actual population itself. If you take a sample that consists of the entire population you actually have no sampling error because you don't have a sample, you have the entire population. In that case, the mean you estimate is the parameter.
Probability sampling method is any method of sampling that utilizes some form of random selection such as picking a name out of a hat, or choosing the short straw.
The simplest form of random sampling is called simple random sampling. Simple random sampling is simple to accomplish and is easy to explain to others. Because simple random sampling is a fair way to select a sample, it is reasonable to generalize the results from the sample back to the population. Simple random sampling is not the most statistically efficient method of sampling and you may, just because of the luck of the draw, not get good representation of subgroups in a population.
Stratified Random Sampling, also sometimes called proportional or quota random sampling, involves dividing your population into homogeneous subgroups and then taking a simple random sample in each subgroup. It assures that you will be able to represent not only the overall population, but also key subgroups of the population, especially small minority groups. Second, stratified random sampling will generally have more statistical precision than simple random sampling. This will only be true if the strata or groups are homogeneous.
The problem with random sampling methods when we have to sample a population that's disbursed across a wide geographic region is that you will have to cover a lot of ground geographically in order to get to each of the units you sampled. It is for precisely this problem that cluster or area random sampling was invented. In cluster sampling, we follow these steps:
1.divide population into clusters (usually along geographic boundaries).
2. Randomly sample clusters.
3. Measure all units within sampled clusters.
Non-probability sampling. The difference between nonprobability and probability sampling is that nonprobability sampling does not involve random selection and probability sampling does. We can divide nonprobability sampling methods into two broad types: accidental or purposive. In accidental sampling, sample is chosen accidentally and we have no evidence that they are representative of the populations we're interested in generalizing to and in many cases we would clearly suspect that they are not. e.g. college students in some psychological survey. In purposive sampling, we sample with a purpose in mind. We usually would have one or more specific predefined groups we are seeking. For instance, have you ever run into people in a mall or on the street who are carrying a clipboard and who are stopping various people and asking if they could interview them? Most likely they are conducting a purposive sample. Purposive sampling can be very useful for situations where you need to reach a targeted sample quickly and where sampling for proportionality is not the primary concern. With a purposive sample, you are likely to get the opinions of your target population, but you are also likely to overweight subgroups in your population that are more readily accessible.
One of purposive sampling is quota sampling. In quota sampling, you select people nonrandomly according to some fixed quota. There are two types of quota sampling: proportional and non proportional. In proportional quota sampling you want to represent the major characteristics of the population by sampling a proportional amount of each. e.g. getting 40% females from a population of say 1000.
Then there is snowball sampling. In snowball sampling, you begin by identifying someone who meets the criteria for inclusion in your study. You then ask them to recommend others who they may know who also meet the criteria.
RESEARCH DESIGN
Research design provides the glue that holds the research project together. A design is used to structure the research, to show how all of the major parts of the research project the samples or groups, measures, treatments or programs, and methods of assignment work together to try to address the central research questions. Design can be either experimental or non-experimental.
Data analysis is the last part of the research. In most social research the data analysis involves three major steps, done in roughly this order:
Cleaning and organizing the data for analysis (Data Preparation)
Describing the data (Descriptive Statistics)
Testing Hypotheses and Models (Inferential Statistics)
Data Preparation involves checking or logging the data in; checking the data for accuracy; entering the data into the computer; transforming the data; and developing and documenting a database structure that integrates the various measures.
Descriptive Statistics are used to describe the basic features of the data in a study. They provide simple summaries about the sample and the measures. Together with simple graphics analysis, they form the basis of virtually every quantitative analysis of data. With descriptive statistics you are simply describing what is, what the data shows.
Inferential Statistics investigate questions, models and hypotheses. In many cases, the conclusions from inferential statistics extend beyond the immediate data alone. For instance, we use inferential statistics to try to infer from the sample data what the population thinks. Or, we use inferential statistics to make judgments of the probability that an observed difference between groups is a dependable one or one that might have happened by chance in this study. Thus, we use inferential statistics to make inferences from our data to more general conditions; we use descriptive statistics simply to describe what's going on in our data.
Types of Research - Definitions
Action research is a methodology that combines action and research to examine specific questions, issues or phenomena through observation and reflection, and deliberate intervention to improve practice.
Applied research is research undertaken to solve practical problems rather than to acquire knowledge for knowledge sake.
Basic research is experimental and theoretical work undertaken to acquire new knowledge without looking for long-term benefits other than the advancement of knowledge.
Qualitative research is research undertaken to gain insights concerning attitudes, beliefs, motivations and behaviors of individuals to explore a social or human problem and include methods such as focus groups, in-depth interviews, observation research and case studies.
Quantitative research is research concerned with the measurement of attitudes, behaviors and perceptions and includes interviewing methods such as telephone, intercept and door-to-door interviews as well as self-completion methods such as mail outs and online surveys.
Three basic types of questions that research projects:
Descriptive. When a study is designed primarily to describe what is going on or what exists. Public opinion polls that seek only to describe the proportion of people who hold various opinions are primarily descriptive in nature. For instance, if we want to know what percent of the population would vote for a BJP or Congress in the next election, we are simply interested in describing something.
Relational. When a study is designed to look at the relationships between two or more variables. A public opinion poll that compares what proportion of males and females say they would vote for a BJP or Congress candidate in the next election is essentially studying the relationship between gender and voting preference.
Causal. When a study is designed to determine whether one or more variables (e.g., a program or treatment variable) causes or affects one or more outcome variables. If we did a public opinion poll to try to determine whether a recent political advertising campaign changed voter preferences, we would essentially be studying whether the campaign (cause) changed the proportion of voters who would vote BJP or Congress (effect).
Time is an important element of any research design. The most fundamental distinctions in research design nomenclature: cross-sectional versus longitudinal studies. A cross-sectional study is one that takes place at a single point in time. In effect, we are taking a 'slice' or cross-section of whatever it is we're observing or measuring. A longitudinal study is one that takes place over time -- we have at least two (and often more) waves of measurement in a longitudinal design.
A variable is any entity that can take on different values. Anything that can vary can be considered a variable. For instance, age can be considered a variable because age can take different values for different people or for the same person at different times. Similarly, country can be considered a variable because a person's country can be assigned a value.
There is a distinction between an independent and dependent variable. In fact the independent variable is what you (or nature) manipulates -- a treatment or program or cause. The dependent variable is what is affected by the independent variable -- your effects or outcomes. For example, if you are studying the effects of a new educational program on student achievement, the program is the independent variable and your measures of achievement are the dependent ones.
A hypothesis is a specific statement of prediction. It describes in concrete (rather than theoretical) terms what you expect will happen in your study. Not all studies have hypotheses. Sometimes a study is designed to be exploratory.
RESEARCH APTITUDE
SAMPLING: Sampling is the process of selecting units (e.g., people) from a population of interest so that by studying the sample we may fairly generalize our results back to the population from which they were chosen. A response is a specific measurement value that a sampling unit supplies. If you measure the entire population and calculate a value like a mean or average, it is called parameter of the population. The distribution of an infinite number of samples of the same size as the sample in your study is known as the sampling distribution.
In sampling contexts, the standard error is called sampling error. Sampling error gives us some idea of the precision of our statistical estimate. A low sampling error means that we had relatively less variability or range in the sampling distribution. How do we calculate sampling error? on the standard deviation of our sample. The greater the sample standard deviation, the greater the standard error /the sampling error. The standard error is also related to the sample size. The greater your sample size, the smaller the standard error. Because the greater the sample size, the closer your sample is to the actual population itself. If you take a sample that consists of the entire population you actually have no sampling error because you don't have a sample, you have the entire population. In that case, the mean you estimate is the parameter.
Probability sampling method is any method of sampling that utilizes some form of random selection such as picking a name out of a hat, or choosing the short straw.
The simplest form of random sampling is called simple random sampling. Simple random sampling is simple to accomplish and is easy to explain to others. Because simple random sampling is a fair way to select a sample, it is reasonable to generalize the results from the sample back to the population. Simple random sampling is not the most statistically efficient method of sampling and you may, just because of the luck of the draw, not get good representation of subgroups in a population.
Stratified Random Sampling, also sometimes called proportional or quota random sampling, involves dividing your population into homogeneous subgroups and then taking a simple random sample in each subgroup. It assures that you will be able to represent not only the overall population, but also key subgroups of the population, especially small minority groups. Second, stratified random sampling will generally have more statistical precision than simple random sampling. This will only be true if the strata or groups are homogeneous.
The problem with random sampling methods when we have to sample a population that's disbursed across a wide geographic region is that you will have to cover a lot of ground geographically in order to get to each of the units you sampled. It is for precisely this problem that cluster or area random sampling was invented. In cluster sampling, we follow these steps:
1.divide population into clusters (usually along geographic boundaries).
2. Randomly sample clusters.
3. Measure all units within sampled clusters.
Non-probability sampling. The difference between nonprobability and probability sampling is that nonprobability sampling does not involve random selection and probability sampling does. We can divide nonprobability sampling methods into two broad types: accidental or purposive. In accidental sampling, sample is chosen accidentally and we have no evidence that they are representative of the populations we're interested in generalizing to and in many cases we would clearly suspect that they are not. e.g. college students in some psychological survey. In purposive sampling, we sample with a purpose in mind. We usually would have one or more specific predefined groups we are seeking. For instance, have you ever run into people in a mall or on the street who are carrying a clipboard and who are stopping various people and asking if they could interview them? Most likely they are conducting a purposive sample. Purposive sampling can be very useful for situations where you need to reach a targeted sample quickly and where sampling for proportionality is not the primary concern. With a purposive sample, you are likely to get the opinions of your target population, but you are also likely to overweight subgroups in your population that are more readily accessible.
One of purposive sampling is quota sampling. In quota sampling, you select people nonrandomly according to some fixed quota. There are two types of quota sampling: proportional and non proportional. In proportional quota sampling you want to represent the major characteristics of the population by sampling a proportional amount of each. e.g. getting 40% females from a population of say 1000.
Then there is snowball sampling. In snowball sampling, you begin by identifying someone who meets the criteria for inclusion in your study. You then ask them to recommend others who they may know who also meet the criteria.
RESEARCH DESIGN
Research design provides the glue that holds the research project together. A design is used to structure the research, to show how all of the major parts of the research project the samples or groups, measures, treatments or programs, and methods of assignment work together to try to address the central research questions. Design can be either experimental or non-experimental.
Data analysis is the last part of the research. In most social research the data analysis involves three major steps, done in roughly this order:
Cleaning and organizing the data for analysis (Data Preparation)
Describing the data (Descriptive Statistics)
Testing Hypotheses and Models (Inferential Statistics)
Data Preparation involves checking or logging the data in; checking the data for accuracy; entering the data into the computer; transforming the data; and developing and documenting a database structure that integrates the various measures.
Descriptive Statistics are used to describe the basic features of the data in a study. They provide simple summaries about the sample and the measures. Together with simple graphics analysis, they form the basis of virtually every quantitative analysis of data. With descriptive statistics you are simply describing what is, what the data shows.
Inferential Statistics investigate questions, models and hypotheses. In many cases, the conclusions from inferential statistics extend beyond the immediate data alone. For instance, we use inferential statistics to try to infer from the sample data what the population thinks. Or, we use inferential statistics to make judgments of the probability that an observed difference between groups is a dependable one or one that might have happened by chance in this study. Thus, we use inferential statistics to make inferences from our data to more general conditions; we use descriptive statistics simply to describe what's going on in our data.
TEACHING POTENTIAL
TEACHING POTENTIAL
• Navodaya Vidyalaya Samiti was registered as a society on –15 August 1950
• Who was the Chairman of the first Indian Education Commission –Sir John Hunter
• Who organizes the National Talent Search Competitive Test –N.C.E.R.T.
• When was Central Advisory Board of Education set up –1956
• Navodaya Vidyalayas have been set up –In Rural Areas
• The programme Gyan Vani is broadcasted by –AIR
• When was N.C.E.R.T. Established –2nd Oct. 1971
• In 1936-37 who submitted the report on technical Education –Abbot
• Who conducts the admission test for Novdaya Vidyalayas –N.C.E.R.T.
• Who was the chairperson of Wardha Scheme –Zakir Hussain
• National law school of India is situated at –Bangalor
• A.I.C.T.E. stands for –All India Council of Technical Education
• In which year University Grants Commission Act was passed –1956 A.D.
• The central Institude of Indian Languages is located at –Mysore
• Which Organization was established during Bengal Partition –National Council of Education
• Which was the first University to be opened in Britishers time ? –Calcutta University
• To whom did Lord Macaulay present the famous Macaulay’s minute ? –Lord Bentinck
• In which year C.B.S.E. set up open school ? –1985
• What was the other name for hunter commission –Indian Education Commission
• What amount was sanctioned by Charter Act of 1813 to be spent on education ? –One Lakh
• Reshtriya Sanskrit Sansthan has its head quarters at –New Delhi
• Which is the first open University of India ? –Indira Gandhi open University New Delhi
• What is the Minimum qualification requird to appear in any examination of the Open University ? –No Minimum qulification
• Regional College of Education for the Northern region is located at –Ajmer
• Where is situated the Regional College of Education for the eastem region ? –Bhuvaneshwar
• Where is Regional College of Education for Western region ? –Ujjain
• Regional College of Education for the Southern region is at –Mysore
• The Regional Colleges of Education were set up by the N.C.E.R.T. with the co-operation of –Planning Commission of India
• Generally the medium of instruction in Public School is –English
• The famous Doon Public School is located at –Dehra Dun
• The famous Doon Public School Bishop Cotton is situated at –Shimla
• The famous Lawrence Public School is at –Sanawar
• The famous Shivaji Public School is at –Pune
• The famous Air Force Central School is situated at –Delhi Cantt
• Tamil Nadu has a Sainik School at –Amrauathinagar
• The Sainik School in Orissa is at –Bhuvaneshwar
• The Sainik School in Karnataka is at –Bijapur
• Gandhi had which Educational Degree ? –Law
• Gandhi got his law Degree from –England
• Where did Gandhi as a teacher ? –South Africa
• Who said “A cowardly teacher cannot make his students valiant ? –M.K. Gandhi
• Effective teaching is a function of -Teacher’s methodology
• What should be the attitude of the teacher towards school authorities ? –Cordial
• The attitude of teacher towards new idea should be –Receptive
• Teachers should be made accountable for –Teaching
• An excellent teacher must be –Good guide
• As a teacher, you are never supposed to be angry –I am a human and can also be angry
• What is your Prime duty as a teacher ? –To help the student in understanding Physical and Social Environment
• What is the best Quality of the teacher ? –good human subject being
• The enthusiastic teachers generally ? –involve the students in learning–teaching process
• A teacher has better chances of succeeding if ? –he is properly trained for the profession
• Does the teachers enjoy the freedom to make their syllabus flexible ? –False
• A good teacher can overcome the defects of ? –System
• A quality teacher always reaches the school ? –Before the morning assembly is over
• Why you want to make teaching as a career ? –it make you eligible for the profession in ten months
• Generally a good number of students do not like to go to the class rooms because- the curriculum is dull
• What is attitude –feeling
• A good teacher priority in school is his –students
• People’s attitude towards teaching is becoming positive because – perceiving teaching as a profession
• Who can be creative teacher- develop thinking ability among the students
• Among the students faith in the human values can be generated through – Moral Education
• If as teacher you give too much liberty to students what will be result – indiscipline in the class room
• If some one does not agree with you what will you do – polite explain your view point to him
• As a teacher what means of recreation will you like to prefer – literary magazines and news papers
• A teacher always learns and he learns from – Students
• What enhances the status and respect of a teacher – community service
• Why a teacher fails in maintaining discipline in the class – because he lacks consistency in his approach to discipline
• What type behavior is expected from a teacher in the class room – calm, dignified and composed
• Why a teacher should be lover of sports – it encourages the students to take part in sports
• Navodaya Vidyalaya Samiti was registered as a society on –15 August 1950
• Who was the Chairman of the first Indian Education Commission –Sir John Hunter
• Who organizes the National Talent Search Competitive Test –N.C.E.R.T.
• When was Central Advisory Board of Education set up –1956
• Navodaya Vidyalayas have been set up –In Rural Areas
• The programme Gyan Vani is broadcasted by –AIR
• When was N.C.E.R.T. Established –2nd Oct. 1971
• In 1936-37 who submitted the report on technical Education –Abbot
• Who conducts the admission test for Novdaya Vidyalayas –N.C.E.R.T.
• Who was the chairperson of Wardha Scheme –Zakir Hussain
• National law school of India is situated at –Bangalor
• A.I.C.T.E. stands for –All India Council of Technical Education
• In which year University Grants Commission Act was passed –1956 A.D.
• The central Institude of Indian Languages is located at –Mysore
• Which Organization was established during Bengal Partition –National Council of Education
• Which was the first University to be opened in Britishers time ? –Calcutta University
• To whom did Lord Macaulay present the famous Macaulay’s minute ? –Lord Bentinck
• In which year C.B.S.E. set up open school ? –1985
• What was the other name for hunter commission –Indian Education Commission
• What amount was sanctioned by Charter Act of 1813 to be spent on education ? –One Lakh
• Reshtriya Sanskrit Sansthan has its head quarters at –New Delhi
• Which is the first open University of India ? –Indira Gandhi open University New Delhi
• What is the Minimum qualification requird to appear in any examination of the Open University ? –No Minimum qulification
• Regional College of Education for the Northern region is located at –Ajmer
• Where is situated the Regional College of Education for the eastem region ? –Bhuvaneshwar
• Where is Regional College of Education for Western region ? –Ujjain
• Regional College of Education for the Southern region is at –Mysore
• The Regional Colleges of Education were set up by the N.C.E.R.T. with the co-operation of –Planning Commission of India
• Generally the medium of instruction in Public School is –English
• The famous Doon Public School is located at –Dehra Dun
• The famous Doon Public School Bishop Cotton is situated at –Shimla
• The famous Lawrence Public School is at –Sanawar
• The famous Shivaji Public School is at –Pune
• The famous Air Force Central School is situated at –Delhi Cantt
• Tamil Nadu has a Sainik School at –Amrauathinagar
• The Sainik School in Orissa is at –Bhuvaneshwar
• The Sainik School in Karnataka is at –Bijapur
• Gandhi had which Educational Degree ? –Law
• Gandhi got his law Degree from –England
• Where did Gandhi as a teacher ? –South Africa
• Who said “A cowardly teacher cannot make his students valiant ? –M.K. Gandhi
• Effective teaching is a function of -Teacher’s methodology
• What should be the attitude of the teacher towards school authorities ? –Cordial
• The attitude of teacher towards new idea should be –Receptive
• Teachers should be made accountable for –Teaching
• An excellent teacher must be –Good guide
• As a teacher, you are never supposed to be angry –I am a human and can also be angry
• What is your Prime duty as a teacher ? –To help the student in understanding Physical and Social Environment
• What is the best Quality of the teacher ? –good human subject being
• The enthusiastic teachers generally ? –involve the students in learning–teaching process
• A teacher has better chances of succeeding if ? –he is properly trained for the profession
• Does the teachers enjoy the freedom to make their syllabus flexible ? –False
• A good teacher can overcome the defects of ? –System
• A quality teacher always reaches the school ? –Before the morning assembly is over
• Why you want to make teaching as a career ? –it make you eligible for the profession in ten months
• Generally a good number of students do not like to go to the class rooms because- the curriculum is dull
• What is attitude –feeling
• A good teacher priority in school is his –students
• People’s attitude towards teaching is becoming positive because – perceiving teaching as a profession
• Who can be creative teacher- develop thinking ability among the students
• Among the students faith in the human values can be generated through – Moral Education
• If as teacher you give too much liberty to students what will be result – indiscipline in the class room
• If some one does not agree with you what will you do – polite explain your view point to him
• As a teacher what means of recreation will you like to prefer – literary magazines and news papers
• A teacher always learns and he learns from – Students
• What enhances the status and respect of a teacher – community service
• Why a teacher fails in maintaining discipline in the class – because he lacks consistency in his approach to discipline
• What type behavior is expected from a teacher in the class room – calm, dignified and composed
• Why a teacher should be lover of sports – it encourages the students to take part in sports
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