Wednesday, September 18, 2019

Poem by Thaslima

Poem by Thaslima

തീഷ്ണമാം കിരണങ്ങൾ
നിൻ ചുടു സ്പർശമില്ലാതെ 
ഈ ദിനരാത്ര മത്രയും
കാണുവാനായ്‌ കാത്തിരിപ്പൂ
അതി വെമ്പലോടെ...
നിൻ സ്പർശ ദിനങ്ങളോർക്ക്‌വെ
ഒരു ദിനം കൊഴിഞ്ഞു പോയ്‌
മങ്ങിയ നയനം പോൽ തൻ ജീവിതം
എങ്കിലുമെൻ ഹൃദയം
മേഘ ഭൂതം കവർന്ന നിൻ
പ്രകാശത്തെ കൊതിയോടെ  കാത്തിരിപ്പൂ
ഇരുണ്ട തൻ ഹൃദയത്തിൻ 
വെളിച്ചമേകുവാനായ് അക-
കണ്ണു നട്ടു ഞാൻ കാത്തിരിപ്പൂ
തണുത്തുറഞ്ഞ പ്രകൃതിക്കും
കുത്തിയൊഴുകുന്ന  പുഴകൾക്കു മൊപ്പം...
 ഞാൻ നിൻ കിരണത്തെ കാത്തിരിപ്പൂ
മൂന്നാം നാൾ നീ ജ്വലിക്കവെ
നിൻ പ്രകാശമെൻ ചിത്രത്തിൽ പകർത്തി
കാലത്തിൻ കെടാവിളക്കിൽ
നിത്യ വെളിച്ചമായ്‌
പ്രകാശ പൂരിതമായ്‌
ജ്വലിക്കട്ടെ നിൻ കിരണം...

Sunday, September 1, 2019

New trends and perspectives in curriculum design and in curriculum construction –constructivist-cultural studies-diversified curriculum.

New trends and perspectives in curriculum design and in curriculum construction –constructivist-cultural studies-diversified curriculum.
Curriculum-Meaning, Concept and Definitions
Etymologically the term curriculum was derived from the Greek word ‘Currere’ which means a race course or a runway on which one runs to reach a goal. In the past the term curriculum signified a course of studies followed by a pupil in a teaching institution. Today it means in general terms, the contract between Society, the state and educational professionals with regard to the educational activities that learners should undergo during a certain phase of their lives to learn something desirable.
Cunningham - “Curriculum is a tool in the hands of an artist (teacher) to mould his material (pupils) according to his ideas (aim and objectives) in his studio (school).”
Morroe - “ Curriculum includes all those activities which are utilized by the school to attain the aims of education.”
Modern Concept
Modern Education is the combination of two dynamic processes. The one is the process of individual development and the other is the process of socialization; which is commonly known as adjustment with the social environment.
Modern Trends in Curriculum Design
The classroom is continually changing, from the subject matter that is covered, to the way it is taught. Some of these changes stem from easily-abandoned fades, while others prove to be ineffective. But lately several key shifts have been shaping the future of the classroom that have the potential to impact education for years to come. Educators who to incorporate these trends into their lessons must determine how to overcome any obstacles to their implementation and ensure the new measures are beneficial to their students. For educators who want to change their approach to building curriculum, these are the trends worth exploring:
Real Skills. Gone are the days of students asking, “When will I ever use this in real life?” during a trigonometry lesson. In addition to traditional subjects, there has been excitement surrounding skills that students can use in the real world. In the 21st century, skills like collaboration, critical thinking, and communication are valued in virtually all aspects of daily life.
These skills will prepare students for life beyond the classroom and can be beneficial to personal, academic, and professional situations. They are also applicable in some way in all academic disciplines, and so will help students regardless of what they choose to focus on with their studies. Teaching these skills will not only help students academically, but they will also help shape their growth as independent individuals in the modern world. Teachers across the nation will have different ideas of what skills are most important and how to teach them to their students. As students advance into higher grades and learn from multiple educators, there can be inconsistencies with instruction that hinder or confuse students. However this lack of standard does not lead to more variety, which could actually enrich students’ educational experience and introduce them to new skills and perspectives in the classroom.
Personalized Curriculums. Traditionally, students get more freedom to choose what they learn as they get older, starting with electives in middle and high school and specializing in a major when they get to college. However, research dating back to the 1990s shows that interest-based learning is closely tied to student success. Educators are beginning to build curriculum around students’ interests at younger ages, in the hopes of keeping them engaged and motivated at school.
Interest-based learning is hardly a new idea, but integrating it into the curriculum wasn’t thought to be possible until new learning technologies became more widespread. Classroom technology makes it easier for teachers to create individualized lessons for their students based on their passions.
While some schools may already focus on individualized learning, others still have to figure out how to integrate personalized curriculums on a larger scale. Working with new technology in the classroom is a challenge in and of itself. Additionally, instructors may struggle to create or respond to personalized lessons for each and every one of their students, especially in the case of large class sizes. However, this can still benefit all students by keeping them passionate and interested about what they learn at school.
Digital Integration. As with many other aspects of modern life, teachers have been incorporating more and more technology into the classroom. There are hundreds, if not thousands, of websites, apps, programs, and devices dedicated to helping teachers, parents, and students of all ages with school. And the possibilities are endless — from e-textbooks to online high school degree programs, there is no shortage of useful tools available to enhance every part of the educational experience.
The open-source nature of the internet encourages users to do more than consume these free resources. Interaction with and contribution to the collective knowledge available not only to students, but to all users, can be a powerful experience for students. Instructors can encourage students to take an active role in both their own education and the education of others.
However, there are several challenges that educators and administrators may face when attempting to integrate new technology into their classroom. Perhaps one of the biggest challenges is lack of funds. Purchasing new technology for classroom use gets expensive, and even new digital software can be costly. Some districts may simply be unable to afford new technology and there is an increasingly large technological divide between low-income and wealthy schools. Though much of the Internet is free to use as long as students have a device to access it, educators will have to devise a specific plan to purchase and integrate new technology within budget constraints.
Inequality of implementation is another large challenge to overcome. Different schools and teachers have different resources available to them, leading to unique educational experiences for each student. These differences lead to some students enjoying a much higher quality of education than others, and while creating systemic change across classrooms would ensure an equal and fair education for all, it is a difficult goal to achieve. Educators can only control their own lessons and should integrate new methods as they see fit.
These trends may sound like undeniable solutions to improve the quality of education, but they mark a truly radical shift in how teachers create curriculum for their students. Though integrating new trends may be difficult, educators should still embrace any changes they see value in. Adhering to old standards or methods of curriculum building simply because it’s easier will affect students for generations to come. Educators must do their best to help their students learn and grow, and these new curriculum trends may be an effective way to do so(Blogger,).
Curriculum Construction
One of the most important activities of the university is the development of curriculum or course outlines in consonance with the national and international demands and realities. For the last few decades, scholars have been raising doubts and questions about the validity of heavy reliance on a subject-centered approach to curriculum development that is dominated by textbook contents. Furthermore, the convergence of academic disciplines in the form of broad field and problem-orientation to knowledge incorporating a variety of theoretical perspectives requires innovative procedures for the development of curriculum. For this purpose, it is imperative that university teachers are aware of modern trends in the development of curriculum.
The key component of any curriculum is its instructional objectives or learning outcomes. To determine the extent to which these objectives or outcomes have been achieved, there is a need to assess students’ learning. Students’ assessment is a very complex task. Teachers often do not have the necessary background to meet its requirements appropriately. Hence, it is also necessary that teachers are exposed to a variety of tools to measure students learning (“MODERN TRENDS IN CURRICULUM CONSTRUCTION | remya radhakrishnan,”).
Principles of Curriculum Construction
The content of curriculum is determined on the basis of some academic principles which are stated below:
(1) Aims of education and objectivity: Life is complex. A curriculum should reflect the complexities of life. In other words, in farming the curriculum one should take into consideration the aims and objectives of education.
(2) Child-centric principle: The curriculum should be framed according to the actual needs, interests and capacities of the child. That means a curriculum must be child-centric as modern education is child-centered.
(3) Principles of civic and social needs: Man is a social being. He lives in the society. The child develops in the society. Modern education aims at both developments of the individuality of the child as well as the development of the society.
(4) Principle of conservation: Man has conserved experiences very carefully for better adaptability. Education is regarded as a means of deserving the cultural heritage of humanity. The school serves two-fold functions in this regard- preservation of the past experiences and transmission of experiences.
(5) Principles of creativeness: Education not only conserves that past experiences of humanity but also helps an individual to develop his innate potentialities.
(6) Principle of forward-looking: The aim of life-centered education is not limited to the present life-situations in the family and society. Hence, education must prepare the child of shouldering future responsibilities. So in farming the curriculum we must take into consideration the future needs of the child as well as the needs of the society.
(7) Principle of preparation for living: The children should know the various activities of the environment around them and how these activities are enabling people to meet their basic needs of food, shelter, clothing, recreation, health and education.
(8) Principle of integration and correlation: Subjects should be arranged logically and psychologically in accordance with the child’s developing interests.
(9) Principle of learning ability: Every item should be learnt. An item should not only be learnable, it should also have utility.
(10) Principle of individual difference: The curriculum should be framed in such a way that every individual can have opportunity for self-expression and development. The curriculum should be based on the psychology of individual difference, which can meet the complexities of modern democratic society.
(11) Principle of social relevancy and utility: Subjects should not be determined on the basis of their disciplinary value but on the basis of their intrinsic value, social relevancy and utility.
(12) Principle for utilization of leisure: Variety of subjects such as games and sports, fine arts, subjects of aesthetic value are to be introduced in the school programme to utilize leisure.
(13) Principle of variety and flexibility: The curriculum should include such activities and experiences, which may facilitate his normal development. The curriculum for girls should naturally be different from that of boys; boys and girls have different needs and attitudes.
(14) Principle of time: Relative significance and importance of each subject in the curriculum has to be judged and determined in the light of the time available in the timetable, which is regarded as the mirror of the school programme.

Modern trends in curriculum construction
Digital Diversity: Present age is an age of ICT technology has touched to al the wakes of human life.  Technology has made various tasks easy, convenient and of quality. To survive in the concern filed it is necessary for everyone to have a knowledge and skill of technology. Education makes man enable to contribute, it strengthens the capabilities. For the effective  transaction of curriculum ICT is must.
Web 2.0 applications must be used for the effective teaching learning process. Curriculum makers should give clear guidelines regarding this. E.g.  teacher tube is very useful source for the educational resources. Khan academy.org also provides good videos, lectures and many more which makes learning meaningful, easy and effective.  Curricki merlot, K2-12 Hippocamus all these provides educational resources which students can use, edit reconstruct and so on. All these things should be interlined with every curriculum.
Need based Curriculums: Researches in all the fields resulted in to specialization. Need based curriculum is the foremost need of the present education system. Many universities are developing need based short term programs for this purpose.
E.g. Mumbai University has introduced courses like – certificate course in Power Point, certificate course in tally, certificate course in marketing, YCMOU- introduced –English communication skills program for Mumbai Dabawala.
Modular Curriculum with credit base system: Modular curriculum gives real freedom of learning .especially in the open learning  system his approach has been adopted at first but now majority of traditional universities also  accepting his system; this is a real emerging trend in the modern curriculum.
Online coerces: Need based and choice based curriculums are available online also. E.g. course era .com  has introduced many useful need based courses for free of cost. Government also takes  initiative for this e.g. Right to Information certificate curse has been introduced by  Government of India to the Indian people. This course is free and online.
21st century skills: All the curriculums of various courses should focus on 21st century skills. Skills like  collaboration, critical thinking, effective communication, multitasking stress management,  empathy are must for all the personals.
International Understanding: Globalization has made converted the world in to global village. We should consider world as a one family and for this international understanding must be inculcate through  curriculum.

Constructivism: Constructivist approach believes that learner should be given freedom to construct his/her knowledge. Spoon feeding must be avoided. If a learner is fully active in construction of knowledge then learning process will be highly effective. In all the curriculums constructivist strategies must be given important place.

Cultural studies

Cultural studies is an interdisciplinary field of studies, which means that it draws from many different subject areas, including sociology, anthropology, political science, and history. Although it is sometimes misunderstood as being the study of popular culture, cultural studies is, in fact, the study of the ways in which culture is constructed and organized and the ways in which it evolves and changes over time. Modern curriculum needs study of culture so as to attain the benefits of culture and to develop culture (“Cultural studies | interdisciplinary field | Britannica.com,” ).

Diversified Curriculum

Our world is changing — economically, socially, and politically. We have reached a stage in India where our students have started viewing the world differently and their place in it as thinkers, decision makers and important stakeholders. To meet the challenges ahead, we’ll need help from a broad range of non-technological innovators, including economists, political scientists, psychologists and artists. 
As the contemporary world becomes more complex, we need an education setup that caters to this diversity not only in terms of challenges but also in the ways to address them. It is time, therefore, that we accepted and embraced the crucial contribution
that an education provides in building a new innovation agenda in the country. The essential interdisciplinary character of education in liberal arts provides students the necessary exposure to the multifaceted character of human nature. The ongoing digital revolution will make this exploration between technology and education obvious for the next generation.
Now thinking will be more important than knowing. We need to revolutionize education to encourage creativity and need to teach our boys and girls to play, take a chance and create, not by teaching our students. We will hinder their capacity to innovate (“The need for a diversified curriculum,” 2017).



Reference
  • Blogger, I. G. (n.d.). Current Curriculum Trends Worth Exploring. Retrieved August 31, 2019, from ASCD Inservice website: http://inservice.ascd.org/current-curriculum-trends-worth-exploring/
  • Cultural studies | interdisciplinary field | Britannica.com. (n.d.). Retrieved August 31, 2019, from https://www.britannica.com/topic/cultural-studies
  • MODERN TRENDS IN CURRICULUM CONSTRUCTION | remya radhakrishnan. (n.d.). Retrieved August 31, 2019, from https://remyaradhakrishnan.wordpress.com/2014/09/14/modern-trends-in-curriculum-construction/
  • The need for a diversified curriculum. (2017, April 19). Retrieved August 31, 2019, from Deccan Herald website: https://www.deccanherald.com/content/607193/need-diversified-curriculum.html

Monday, August 26, 2019

WORKSHOP REPORT

                                       REPORT

On 21st august 2019 our workshop commenced under the guidance of Dr. Sajan , Asst. professor N.S.S. Training College, Ottapalam. It was a five day workshop which was completed on 26th August. It was really a wonderful experience which enabled us to know many useful applications and websites which helped us to enhance our knowledge in the field of Information and Technology. It helps us to start a blog which we considered as our new step for this new world of technology so that we can share our notes and ideas to a waste  receivers. I really thank our beloved Sir who was so curious  to share his ideas and listened patiently to solve our individual problems that we face during our workshop. We really feel enriched so that we can update our knowledge in this world of technology. I thank God for giving us a chance to be a part of this wonderful institution.   

EXCELL FILE


Sunday, August 25, 2019

DIFFERENT TYPES OF VARIABLES


Variables in Research
In scientific research, scientists, technicians and researchers utilize a variety of methods and variables when conducting their experiments. In simple terms, a variable represents a measurable attribute that changes or varies across the experiment whether comparing results between multiple groups, multiple people or even when using a single person in an experiment conducted over time. In all, there are six common variable types.
Variables represent the measurable traits that can change over the course of a scientific experiment. In all there are six basic variable types: dependent, independent, intervening, moderator, controlled and extraneous variables.



Independent and Dependent Variables
In general, experiments purposefully change one variable, which is the independent variable. But a variable that changes in direct response to the independent variable is the dependent variable. Say there’s an experiment to test whether changing the position of an ice cube affects its ability to melt. The change in an ice cube's position represents the independent variable. The result of whether the ice cube melts or not is the dependent variable.

Table 1
 Different names of independent and dependent variables

Independent variable

Dependent variable
Exposure variable

Outcome variable
Control variable

Controlled variable
Explanatory variable

Explained variable
Manipulated variable

Response variables

Intervening and Moderator Variables
Intervening variables link the independent and dependent variables, but as abstract processes, they are not directly observable during the experiment. For example, if studying the use of a specific teaching technique for its effectiveness, the technique represents the independent variable, while the completion of the technique's objectives by the study participants represents the dependent variable, while the actual processes used internally by the students to learn the subject matter represents the intervening variables.
By modifying the effect of the intervening variables -- the unseen processes -- moderator variables influence the relationship between the independent and dependent variables. Researchers measure moderator variables and take them into consideration during the experiment.
Constant or Controllable Variable
Sometimes certain characteristics of the objects under scrutiny are deliberately left unchanged. These are known as constant or controlled variables. In the ice cube experiment, one constant or controllable variable could be the size and shape of the cube. By keeping the ice cubes' sizes and shapes the same, it's easier to measure the differences between the cubes as they melt after shifting their positions, as they all started out as the same size.



Extraneous Variables
A well-designed experiment eliminates as many unmeasured extraneous variables as possible. This makes it easier to observe the relationship between the independent and dependent variables. These extraneous variables, also known as unforeseen factors, can affect the interpretation of experimental results. Lurking variables, as a subset of extraneous variables represent the unforeseen factors in the experiment.
Another type of lurking variable includes the confounding variable, which can render the results of the experiment useless or invalid. Sometimes a confounding variable could be a variable not previously considered. Not being aware of the confounding variable’s influence skews the experimental results. For example, say the surface chosen to conduct the ice-cube experiment was on a salted road, but the experimenters did not realize the salt was there and sprinkled unevenly, causing some ice cubes to melt faster.

Figure1. Extraneous variables
A list of common and uncommon types of variables. A “variable” in algebra really just means one thing—an unknown value. However, in statistics, you’ll come across dozens of types of variables in statistics. In most cases, the word still means that you’re dealing with something that’s unknown, but—unlike in algebra—that unknown isn’t always a number. Some variable types are used more than others. For example, you’ll be much more likely to come across continuous variables than you would dummy variables.
Common Types of Variables
Categorical variable: variables than can be put into categories. For example, the category “Toothpaste Brands” might contain the variables Colgate and Aqua fresh.
Confounding variable: extra variables that have a hidden effect on your experimental results.
Continuous variable: a variable with infinite number of values, like “time” or “weight”.
Control variable: a factor in an experiment which must be held constant. For example, in an experiment to determine whether light makes plants grow faster, you would have to control for soil quality and water.
Dependent variable: the outcome of an experiment. As you change the independent variable, you watch what happens to the dependent variable.
Discrete variable: a variable that can only take on a certain number of values. For example, “number of cars in a parking lot” is discrete because a car park can only hold so many cars.
Independent variable: A variable that is not affected by anything that the researcher does.
Lurking variable: A “hidden” variable the affects the relationship between the independent and dependent variables..
Nominal variable: another name for categorical variable.
Ordinal variable: similar to a categorical variable, but there is a clear order. For example, income levels of low, middle, and high could be considered ordinal.
Qualitative variable: a broad category for any variable that can’t be counted (i.e. has no numerical value). Nominal and ordinal variables fall under this umbrella term.
Quantitative variable: A broad category that includes any variable that can be counted, or has a numerical value associated with it. Examples of variables that fall into this category include discrete variables and ratio variables.
Ratio variables: similar to interval variables, but has a meaningful zero(‘Understanding the different types of variable in statistics’, n.d.).
Less Common Types of Variables
Active Variable: a variable that is manipulated by the researcher.
Antecedent Variable: a variable that comes before the independent variable.
Attribute variable: another name for a categorical variable (in statistical software) or a variable that isn’t manipulated (in design of experiments).
Binary variable: a variable that can only take on two values, usually 0/1. Could also be yes/no, tall/short or some other two-variable combination.
Collider Variable: a variable represented by a node on a causal graph that has paths pointing in as well as out.
Covariate variable: similar to an independent variable, it has an effect on the dependent variable but is usually not the variable of interest..
Criterion variable: another name for a dependent variable, when the variable is used in non-experimental situations.
Dichotomous variable: Another name for a binary variable.
Dummy Variables: used in regression analysis when you want to assign relationships to unconnected categorical variables. For example, if you had the categories “has dogs” and “owns a car” you might assign a 1 to mean “has dogs” and 0 to mean “owns a car.”
Endogenous variable: similar to dependent variables, they are affected by other variables in the system. Used almost exclusively in econometrics.
Exogenous variable: variables that affect others in the system.
Explanatory Variable: a type of independent variable. When a variable is independent, it is not affected at all by any other variables. When a variable isn’t independent for certain, it’s an explanatory variable.
Identifier Variables: variables used to uniquely identify situations.
Indicator variable: another name for a dummy variable.
Interval variable: a meaningful measurement between two variables. Also sometimes used as another name for a continuous variable.
Intervening variable: a variable that is used to explain the relationship between variables.
Latent Variable: a hidden variable that can’t be measured or observed directly.
Manifest variable: a variable that can be directly observed or measured.
Manipulated variable: another name for independent variable.
Moderating variable: changes the strength of an effect between independent and dependent variables. For example, psychotherapy may reduce stress levels for women more than men, so sex moderates the effect between psychotherapy and stress levels.
Nuisance Variable: an extraneous variable that increases variability overall.
Observed Variable: a measured variable (usually used in SEM).
Outcome variable: similar in meaning to a dependent variable, but used in a non-experimental study.
Polychotomous variables: variables that can have more than two values.
Predictor variable: similar in meaning to the independent variable, but used in regression and in non-experimental studies.
Responding variable: an informal term for dependent variable usually used in science fairs.
Scale Variable: basically, another name for a measurement variable.
Study Variable (Research Variable): can mean any variable used in a study, but does have a more formal definition when used in a clinical trial.
Test Variable: another name for the Dependent Variable.
Treatment variable: another name for independent variable(‘Types of Variables in Statistics and Research’, n.d.).


 Figure 2. Types of variables 

Reference


Types of Variables in Statistics and Research. (n.d.). Retrieved 20 August 2019, from Statistics How To website: https://www.statisticshowto.datasciencecentral.com/probability-and-statistics/types-of-variables/
Understanding the different types of variable in statistics. (n.d.). Retrieved 20 August 2019, from https://statistics.laerd.com/statistical-guides/types-of-variable.php 


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