Friday, January 20, 2012

Education and Teacher Dispositions

, The Island.

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Desirable student attitudes are formed as a result of learning experiences in an educational context dominated by these elements. Social stimulation through examples and opinions of teachers, parents and peers also play a part. Canadian Professor Albert Bandura is often considered the father of the cognitivist movement (as opposed to B.F. Skinner’s behaviourism).
Taking a fairly long walk has become an essential part of my daily routine for some time now. From the beginning I saw to it that my calf muscles start aching before I stop walking. Through experience I have determined the distance that should be covered, and the time it should take to produce that amount of fatigue in my legs in the particular terrain where I daily perform this exercise. Occasionally, circumstances intervene, and I am required to curtail my walk before I reach my ‘saturation point’, which leaves me with a sense of having cheated myself. Once I pondered over why I get this feeling, and traced its origin to these words of a favourite teacher of ours: "Don’t think that you have done an honest piece of work, be it in sports or studies, unless you feel a little exhausted after doing it". He taught us a subject known as General Science at that time some fifty years ago, and sometimes doubled as our PT master. He was a strict disciplinarian and a committed teacher. We used to await his arrival for lessons with trepidation as well as expectation. If I am confident enough to make any claim to at least a modest degree of professionalism in whatever work I undertake, I believe I owe that confidence to what I learned from teachers like him.

Many of us have recollections like these about our favourite teachers. Often we do not remember them for the subject knowledge they imparted. We remember them for the influence they exercised on our lives through their dispositions or perceptions or attitudes as revealed through their behaviours towards us their students. Teacher dispositions are vitally important for long-term as well as short-term student success in terms of academic achievement and personality development. That is why some of our old school teachers seem to reach out to us over many decades from the past.

The National Council for Accreditation of Teacher Education (NCATE) in the USA, a national organisation that helps establish the preparation of high quality teachers, specialists, and administrators by conferring accreditation to schools, colleges, and departments of education describes teacher dispositions as "Professional attitudes, values, beliefs demonstrated through both verbal and non-verbal behaviours as educators interact with students, families, colleagues, and communities" (as quoted by Maura Kate Hallam in ‘The Language Educator’, January 2009).

A key factor that is essential for academic success is student engagement. Engaged students are those who involve themselves in educational activities out of intrinsic motivation; they are self-reliant; they make themselves responsible for their own learning. There is a second equally important factor which contributes to student achievement: students’ perception of their own academic competence (which means positive feelings about one’s ability to be succeed academically). Students’ active involvement in the educational endeavour and their perception of academic competence are both important attitudes that play a central role in student success. These attitudes flourish in an atmosphere in which students have a sense of autonomy, and feel confident in their own capacity for success in future academic pursuits. Two factors are vital for stimulating such attitudes: supportive teachers and high behavioural expectations.

Desirable student attitudes are formed as a result of learning experiences in an educational context dominated by these elements. Social stimulation through examples and opinions of teachers, parents and peers also play a part. Canadian Professor Albert Bandura is often considered the father of the cognitivist movement (as opposed to B.F. Skinner’s behaviourism). According to his observational learning (or social learning) theory, a model’s behaviour can cause an observer’s behaviour to change either positively or negatively through the positive or negative consequences (vicarious reinforcement or vicarious punishment) of a model’s behaviour. He looked at personality as an interactive relationship among three elements: a person’s environment, behaviour, and psychological processes. Teacher dispositions affects the formation of learner attitudes.

Educators need to possess positive dispositions in addition to subject knowledge and pedagogical (i.e. teaching) skills. The NCATE mentioned above expects schools of education to assess their candidates on the principles of fairness, and the belief that all students can learn. Some researchers regard commonsense notions about teacher perceptions to be too ‘soft’ to serve as real research, insisting on quantifiable data. Mark Wasicsko, Director of the National Network for the Study of Educator Dispositions (NNSED) does not agree. He explains, on the organisation’s website, that effective teacher dispositions can be grouped into four ‘measurable’ domains as suggested below:

1. Most effective teachers perceive themselves as such. They are competent, and have confidence in their own ability. Capable teachers are usually outgoing in social interaction; they can identify with a broad range of diverse people.

2. Effective teachers believe that all students can learn.

3. Their frame of reference is broad. They relate what they do to a larger purpose. Teaching for them involves creating a disposition for learning.

4. Such teachers take cognizance of the human element.

Teacher dispositions are important in any educational setup, but they are particularly so in the English language classroom, which I wish to use here as an example to demonstrate teacher dispositions. For effective language learning to take place, as much communicative interaction among the learners as possible through English should be provided. Their ‘affective filter’ has to be lowered by making them feel comfortable, confident, and uninhibited. ["Affective filter" refers to an impediment to learning brought on by ‘affective’ (i.e. emotional) responses to one’s environment in terms of a hypothesis first proposed by Stephen Krashen in the 1970’s.] The teacher’s attitude determines much of the general atmosphere of the classroom and can either lower or raise the learners’ affective filters.

Of course, the English classrooms in Sri Lanka are not what they used to be in the past. Teachers seem to have a more inclusive attitude than before: for a long time there was a widely held notion, especially in rural areas, that only some students had the ability to learn English; many lost interest in learning it, and turned their attention to something else; even teachers gave up on them. But today English is being taught on the basis that it can be learned by all students; exclusivity associated with English in this sense is a thing of the past (No allusion is intended here to exclusivity based on class consciousness which, to all appearances, is a thing of the past as well). Different pedagogies are being tried out. The students have ample opportunity to relate the English they learn to their experience of the wider world through technology-mediated communication. In this context, teacher attitudes assume unprecedented importance.

Because learning has become learner-centred and autonomous more than ever before with the emergence of revolutionary new information and communications technologies, the teacher’s value as a mere conduit for the transfer of subject matter knowledge has substantially decreased. While teaching or instruction in the traditional sense has not become totally irrelevant, the stage manager role of the teaching professional has become more pronounced (To stage-manage in the formal educational context means to prepare the environment and plan the range of activities that the learners must perform both autonomously and in collaboration with colleagues for the achievement of a predetermined outcome through managing the interrelationships between the school setting, student attitudes and behaviour, and student achievement). In the final analysis, teacher dispositions are about bringing out the individual best in each student in the short term as well as in the long term (irrespective of the calibre of that ‘individual best’).

Sources consulted:

Maura Kate Hallam: The Language Educator, January 2009

Theresa M. Akey, PhD: "Student Context, Student Attitudes and Behaviour, and Academic Achievement" (Paper), 2005

2011 A/L Results and the Z-Score method

, The Island

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By Dr. S. Arivalzahan In recent days much attention has been focused on the Z-score calculation for the 2011 A/L results. This article examines the 2011 A/L Z-score calculation fiasco and the need for further research in developing a more appropriate scaling method.

Since year 2000, the Z-score has been used as the scaling method for ranking students at the G.C.E. (A/L) examinations for university admission. The Z-score is considered a better scaling method than the previous use of aggregated marks for comparing student performance in different subject combinations. For a particular subject the Z-score is being calculated using the formula, Z = (raw marks-mean marks)/Standard Deviation of marks.

In the above formula, mean is a measure of location and standard deviation is a measure of dispersion.

In the year 2011, two different G.C.E. (A/L) examinations were conducted for old and new syllabuses. While the repeat candidates sat for the old syllabus examination, fresh candidates sat for the new. Consequently for a particular subject, the Department of Examinations had two different sets of marks, one for the old and new syllabuses. Thus, when there was a need to calculate the Z-score to rank and enlist both candidates to find a common cut out for University admissions the Department of Examination was in a dilemma.

The interesting point is that in year 2000 the Z-Score was introduced by Prof. R.O. Thattil as a tool to solve such a problem. Therefore, it should not be a problem for the Department of Examinations, and for a particular subject, they should have considered the two sets of marks separately and calculated the Z-score for each examination separately. Then as usual the average of the Z-scores of the three subjects of a particular student could have been used for the ranking purpose.

Another argument that has been put forward here is that since the population of repeat candidates is smaller compared with the population of fresh candidates, and the repeat candidates are filtered students (not qualified in one or more A/L examinations), therefore, treating the repeat examination marks separately might give unnecessary benefits to repeat candidates. This same problem will arise during G.C.E. (A/L) 2012 examinations too. There is also a set of candidates who will sit for the exams as repeat candidates and the number of this student population is going to be again much smaller.

Though the Department of Examinations have not yet revealed the method they used to calculate the Z-score in the last A/L examinations, Prof. Thattil in his article has mentioned that for the 2011 A/L examinations, the means and variances of the two different examination marks have been pooled for the calculation of the Z-Score of a particular subject. In his article he has given the equations which were used to obtain the pooled mean and variance.

Let us consider the same pooling problem in a more convenient scenario. Suppose a person (say A) has 80 Canadian dollars and 70 British pounds and another person (say B) has 75 Australian dollars and 65 Euros. Suppose we want to compare the wealth of person A and B. Then in order to measure the person A’s wealth we usually convert Canadian dollars to US $ and then convert British pounds to US$ separately. Instead of doing this will we pool (add) the number of Canadian dollars and the number of British pounds together and then convert that amount to US$ (using an average exchange rate of Canadian dollar and British pound)? Every one knows that such pooling is wrong in the above case. Similarly, two different examination marks should also be considered as pertaining to two different populations. Therefore, it is obviously invalid to pool the parameters of two different examinations for the calculation of Z-Score. Prof. Thattil in his recent article clearly illustrated the above problem with a numerical example.

Therefore, if the Department of Examinations wants to use the Z-Score as a scaling method, they should not pool the means and variances of the different examinations. If the Department of Examinations feels it appropriate to pool the means and variances of the different examinations they should use some other scaling methods (not the Z-Score) for ranking purpose.

There is no perfect scaling method available and Z-Score is a widely accepted scaling method. However, there might be some drawbacks in the Z-Score method. Therefore, further research is needed in finding a better scaling method. Let us examine this in detail.

For the calculation of Z-score, we do not need to assume any particular probability distribution for the raw marks of a particular subject. Mean is a good measure of location and standard deviation is a good measure of dispersion for symmetric distributions. However, for skewed (non-symmetric) distributions mean is no longer a good measure of location and standard deviation is not a good measure of dispersion either. Therefore, we have to be careful in using Z-score for scaling, when the raw marks follow any non-symmetric distribution.

For non-symmetric distributions, Median (which is the 50th percentile) is the better measure of location, and Inter Quartile Deviation (IQD) is a better measure of dispersion than standard deviation. Inter Quartile deviation is the half of the difference between the 75th and 25th percentiles.

We could define a new scaling method, Median Centered Score (MCS) as, MCS = (raw marks – median marks)/IQD of the marks. The above MCS is robust to extreme values, as median and IQD are less sensitive to extreme values compared with mean and standard deviation respectively. However, MCS is yet to be validated using some real world data set. Moreover, further research is needed in developing a scaling method for non-symmetric distributions.

The Writer is President of the Jaffna University Science Teachers’ Association