Theory of Social Darwinism and the Impacts on Indigenous Australians

Theory of Social Darwinism and the Impacts on Indigenous Australians Social Darwinism is a social theory that Natural Selection in Darwins Theory is used to human society. Social Darwinism is evaluated from Darwins Theory. However, Social Darwinism is a belief and it is popular in the late Victorian ear in England, America and elsewhere. The purpose of this essay is to analyze the theory of Social Darwinism and its impacts on indigenous Australians. This essay will firstly have a brief introduction. Following it, it will discuss the theory of Social Darwinism. After that, it will explain the impact of Social Darwinism on indigenous Australians. Finally, it will be a conclusion of the essay. Theory of Social Darwinism The theory of Social Darwinism was put forward by Herbert Spencer in 19th century. Social Darwinism is the general term which applies to several different ways in which people (not biologists) tried to apply a distorted and narrow interpretation of the concept of natural selection to human cultural systems. (Peter, 2003) The popularity of Social Darwinism lasted from 19th century to World War II. Some people even think modern biology can be classified into Social Darwinism. The concept of Social Darwinism firstly appeared in American Historian Richard Hofstadters book in 1944> (Thomas, 2009) Social Darwinism is a kind of concept. This concept thinks that the core of Darwinism-natural selection is a common phenomenon in the human society. Theory of Social Darwinism thinks that natural selection plays an important role in the human evolution and development. Social Darwinism has ever been used by its supporters to name on the social inequality, racism and imperialism. Social Darwinism itself is not a political tendency.Some Social Darwinists use this concept to illustrate the social progress and inevitable change. Some Social Darwinists think that human degradation is inevitable. As the same as Theory of Evolution, Social Darwinism is usually involved in the debate on Eugenics. Social Darwinism also derived some concepts, including competition, eugenics and racism. Competition A simplified view of Social Darwinism is that people, especially for men, have to compete to survive in the future. They can not give any assistance to the poor because they must feed themselves. Most of Social Darwinism in 21st century supports the improvement of working conditions and higher wages in order to give the poor the opportunity to feed themselves, so that self-sufficiency is better than those who are lazy, weak or poor. Eugenics Another social interpretation of Social Darwinism is Eugenics. This theory is developed by Darwins cousin, Francis Galton. Galton believes that peoples physical characteristics are significantly from generation to generation. Therefore, the human brain qualities (genius and talent) have the same principle. Then the community should have a clear genetic decision to improve eugenics. Racism The racial superiority and competition ideology in the end of 19 century and early of 20 century are associated with Social Darwinism. The basic race concept of Social Darwinism is that white race should educate other races of people in the world by a civilized way. Darwins Evolution Theory divides the race on the basis of Genetic Bifurcation and Natural Selection Theory. Genetic Bifurcation is a group of genetic material which isolated with each other, so they can develop its own unique genetic characteristics. This theory is applies to all living organisms. Because of gene bifurcation, people have different races and ethnic groups. Impacts on of Social Darwinism on indigenous Australians Theories of Social Darwinism brought the disaster to indigenous Australians. Australian continent appeared before 60, 000 years ago. Most of the indigenous Australians were isolated from the rest of world before Europe settled in Australia. After the settlement of British, population of indigenous Australians reduced by 90%, which is also influenced by Social Darwinism. In the early of the twentieth century, Social Darwinism was also popular in Australia. The Racial Theories of Social Darwinism were used to justify settler treatment of the indigenous Australians, as subhuman, primitive and an inferior race. Social Darwinism accelerated the death of indigenous Australians. As the skin color of indigenous Australians is similar to black, people are easy to link them to Blacks. Racism discrimination emerged with the popularity of Social Darwinism. The Aborigines Protection Act 1909 established camps to provide a place for the doomed race to die off as indigenous Australian would inevitably become extinct. (Eleanor, 2002) Even cruel is that indigenous Australians were treated like experimental animals, which were allowed by settle policy. Between 1920 and 1930, thousands of indigenous Australians were used to scientific investigation into brain capacity and cranium size. Australian fascination with eugenics is similar to the obsession of Nazi Germany so ciety in relation to the Jews in the 1930s and early 1940s. (Geoffrey, 2004) Eugenics Theory of Social Darwinism also impacted on indigenous Australians. Children of mixed indigenous Australians and Europeans descent were called half-castes and a threat to so-called racial purity. (Dickens, 2000) According to the Eugenics Theory, the policy took these children far away from their parents to breed the blackness out of them. Based on Eugenics Theory, about 100,000 children with indigenous blood were taken away from their families. Parents did not know where they children were and were not allowed to trace them. At the same time, these children did not know who were their parents and thought they were orphans. The racist government thought the problem could be solved if indigenous Australians were dying out. As a result, these children were called Stolen Generations. Settler policy believed that white, Christian families and boarding schools was the best environment in which to raise Aboriginal children. They believed they were doing what was protecting them and was best for them, whether the children or their parents liked it or not. (Read, 2001) Conclusion Conclusively, Social Darwinism is a popular social evolution theory in 19 century. The theory itself did not contain any political position and it has ever been linked with politics. Influenced by the theories of Social Darwinism, many indigenous Australians were treated cruel and populations of indigenous Australians were reduced very much. Today, indigenous Australians share equal rights with other racial people in spite of existence of racial discrimination. It is wished that the world could eliminate the racial discrimination in future and every person could be treated equally.

Government Intervention in Market

The Market Structures The complete economic activities are handled in four different market structures, namely perfect competition, monopolistic competition, oligopoly and monopoly. The nature and degree of competition varies among the all the above-mentioned four markets. In summarized manner we can describe that as the number of sellers increases, each firms’ ability to charge high prices reduces.If number of buyers increases then buyers practice to purchase the goods at his choice price diminishes. The sellers have to face price competitions if the product is homogeneous and price and non-price competition exist if goods are differentiable. A large number of buyers and sellers make competition perfect. A homogeneous good with a number of sellers put the market in competition but a homogeneous good in a few sellers and a number of buyers leads the competition in another directions and put sellers in relatively good position.The complete knowledge of buyers and sellers regard ing market price and goods encourage fair competition on the other hand incomplete knowledge of product, alluring misleading advertisements and forced differentiation of the goods break the pure competition. Production of a good by a particular producer or a few producers put the economy in their hands (monopoly) but if only a few buyers or a union of the buyers is controlling (monopsony) the market then market becomes non-competitive.All of the above there are some peculiar goods, which are non-excludable (can be consumed by any one without paying the cost) and non-rivalrous (no one has exclusive right over its consumption), that are not produced by any profit making companies such as military service to protect the nation. Market Failure Causes From the above discussion it is very clear that except perfect competition rest three market structures are not fulfilling the optimal criteria of economy i. e. high over all economic growth, full employment and fair distribution of income among the different parts of the society.The reasons for such market failure or non-attainment of the Pareto optimality (efficiency in exchange/consumption, efficiency in production and overall Pareto efficiency) are as follows: 1. Imperfect Market: Whenever the market is imperfect as under monopoly, monopolistic competition or oligopoly, the perfect market will fail to achieve the Pareto optimal conditions. 2. Externalities: If the prices in a market do not reflect the true marginal costs and/or marginal benefits associated with the goods and services traded in the market then there must be present of some externality.If the productivity of an individual affects the benefits of the others is called the production externalities and if the consumption levels of others affect the welfare of the individuals then consumption externalities occur. 3. Public Goods:Because public goods are non-excludable and non-rivalrous, they are not sold in a free market like private goods. Therefore, th ey cannot be provided by private firms. 4. Increasing returns to scale:There are increasing return to scale or decreasing costs due to technical externalities that lead to market failure under perfect competition.When there are increasing returns to scale in a perfect competitive market, they lead either to monopoly or to losses. 5. Asymmetric or Incomplete information:In the real world, there is asymmetric or incomplete information due to ignorance and uncertainty on the part of buyers and sellers of goods. Thus they are unable to equate social and private benefits and costs. Type of Government Intervention At this stage Government intervention comes into effect and Government try to provide the following benefits: 1. Control non-competitive behavior of the firms. a. Taxation of monopoly profits (the Windfall Tax) . Regulation of oligopolies/cartel behavior c. Policies to introduce competition into markets (de-regulation) 2. Using Tax or subsidies or by environmental policies comba t externalities. 3. Provide public goods. a. Direct provision of public goods (military services) b. Price controls for the recently privatized utilities 4. Provide information and assure information flow by various law and policies. 5. Government changes the income distribution by society by imposing income tax and inheritance taxes etc. Why corn/ soybean or wheat like agricultural commodity market do not need government intervention:The agriculture commodity market for corn/wheat/soybean like commodities fulfill the conditions of perfect competitive market as a) Many small producers b) Homogeneous product c) Many buyers d) Free entry and exit e) All the producer’s face the same cost as they have equal access to the same technology. In the perfect competitive market a seller/producer has to simply determine how many units to produce and sell at the current equilibrium price. If a perfectly competitive firm earns short run economic profit, new firms enter in the long run and market supply increases hence the price decreases.As the price falls each firm’s economic profit diminishes. To restore the economic profit, existing firms make every effort to become more efficient, but their success encourages further entry in the market. Due to this continuous entry in the market in the long run each firm get a normal profit. If firms face the economic loss in the perfect competitive market and they are optimally efficient with current available technology then this environment compels some (weaker) firms to leave the market in the long run. As some firms exit, the market supply decreases and price increases.The process continues in the long run till each surviving firms earn a normal profit. The graph below demonstrates the longrun equilibrium in a perfectly competitive market, where profit equals zero: [pic] We observe that the following is the case for a perfectly competitive market in long-run equilibrium †¢ Profit (? ) = 0 because P = ATC. †¢ P = MR = MC = ATC. †¢ The firm is producing the quantity where ATC is at its minimum point. Technological Efficiency:At given cost of production (resources used) if the output produced is maximized then it is called technological efficiency.From the above diagram it is clear that the firm is technologically efficient as it is producing the output at the lowest point of its cost curve (ATC). It is natural as i) All profit maximizing firms want to increase their profit by minimizing the cost of production; as in the perfect competition they cannot raise the prices of homogeneous product. ii) As in long run profit equals to zero for a perfectly competitive firm, hence, if the firm does not choose to minimize the production-cost, ATC will increase and profit would be less than zero.Allocative Efficiency:It occurs when resources are allocated to the production of goods in such a manner that society is a well off as possible. Marginal social cost (MSC) captures the opportunity cost of using another input in the production of a good, where opportunity cost refers to the best alternative use of an input. If more of a good is demanded in the market, additional inputs (e. g. labor, electricity, etc. ) are required to produce additional output of that good. We can measure the cost of added production by looking at the marginal cost (MC) of producing one more unit of the good.The rule to achieve allocative efficiency is that the additional benefits received by consumers from consumption of a good equal to the incremental costs of producing another unit of that good. MSB = MSC To achieve allocative efficiency in the use of productive inputs, marginal social benefit must equal marginal social cost for a good or service. If marginal social benefit is greater than marginal social cost (MSB > MSC) then the benefits attained by consumers from the consumption of another unit of the good or service exceeds the opportunity cost of the allocation of additional inputs into the production of that good.In other words, when MSB > MSC, society wants more of the good produced and uses the market to signal that desire. How does the market convey this information? Since price (P) equals marginal social benefit (MSB) and marginal cost equals marginal social cost (MSC), we have the condition that: P = MSB = MSC = MC; or P = MC So the Pareto optimality conditions fulfilled. Hence the agriculture commodity markets for corn/wheat/soybean like commodities need not any government intervention. Local Cable TV or local gas company need government intervention:The local cable TV or local gas company in many countries works as a monopolist. The required conditions to be a monopolist are: 1. There is one seller or producer of a homogeneous product. 2. There is no close substitution of the product available 3. There is perfect competition in the factor market so that it can minimize the cost of the production 4. There are many buyers of the product but none of them c an influence the price of the product. 5. There is no threat of entry of exit. Given above assumptions, the price, output and profit under monopoly are determined by the forces of demand and supply.The monopolist has complete control over the supply of the product. He is also a price maker who can set the price to his maximum advantages. But he cannot fix the price and output simultaneously. Either he can fix the price and leave the output to be determined by the consumer demand at that price or he can fix the output to be produced and leave the price to be determined by the consumer demand for the product. Thus whatever price he fixes, whatever output he decides to produce are determined by the condition of demand. [pic]We observe that the following is the case for a perfectly competitive market in long-run equilibrium †¢ Profit (? ) >= 0 because P >= ATC. †¢ P >= MR = MC †¢ The firm does not produce the quantity where ATC is at its minimum point. Technologi cal Efficiency:Although each firm in monopoly want to reduce it’s cost of production to maximize the profit yet the industry/ market does not produce the output at the minimum point of ATC so the monopoly market is technologically not efficient. Allocative Efficiency:As we have already discussed that the condition to attain allocative efficiecy isP = MSB = MSC = MC; or P = MC But as P is greater than MC in the case of monopoly so it is inefficient on allocation basis, which is called deadweight welfare loss (social cost). We may say that the monopoly leads to misallocation and underutilization of resources and reduction in consumer’s welfare. Government may impose regulations to control a monopoly: For industries where the average total cost curve displays tremendous economies of scale, the government may decide that having a single provider is desirable.Using the measures of productive and allocative efficiency, regulators know that when left alone, a profit maximizin g monopoly produces less of the good or service than is desired by society and at too high of a cost. Regulated monopolies agree to adhere to government oversight in order to sustain their monopoly status. 1. Forbidding the formation of monopolies (e. g. , antitrust laws) 2. Forbidding monopolistic behavior (like predatory pricing) 3. Ensuring standards of provision. 4. Ensuring competition exists (e. g. deregulation) 5. Imposition of a lump-sum tax on a monopolist (shifts AC upwards), and supernormal profits are taken as tax. Governments may also regulate MC/AC pricing for monopolies. Effects of MC/AC regulating pricing by government intervention : Marginal Cost Pricing : Regulators set price where marginal cost equals demand. This is the most efficient solution as allocative efficiency is achieved: P = MC and therefore MSB = MSC. But the firm is losing money, as total revenues are less than total costs (see the figure given below).In the long run, if this condition prevails, the f irm will shut down and cease to operate, not especially a desirable outcome if the monopoly provides an essential good or service such as electricity or water. It is sometimes called optimal price regulation. It does not work with natural monopolies (they will not earn a profit, and would exit the industry). See the following figure. Average Total Cost Pricing : For natural monopolies, the regulator can force monopolies to charge the price where ATC crosses Demand.At this price economic profit will be zero, although there will be normal accounting profits. Sometimes called non-optimal price regulation. This is a more efficient outcome than no regulation at all. Price still exceeds marginal cost and therefore, marginal social benefits exceed marginal social costs. With average cost pricing, allocative and productive efficiency are not achieved. The firm earns accounting profits but no economic profits. Smaller deadweight loss than unregulated monopoly. See the diagram given below. [p ic]

Statistik dalam penyelidikan pendidikan

PENDAHULUANTajuk ini dipilih kerana parity pengkaji hendak mengetahui tahap penggunaan Teknologi Maklumat dan Komunikasi ( TMK ) di kalangan guru-guru Sains sekolah menengah di daerah Gombak bagi memastikan kejayaan mengintegrasikan teknologi ke dalam bilik darjah. Pendidik yang berkompetensi teknologi memahami hubungan di antara fungsi asas komputer dan pembelajaran pelajar. Setiap kali suatu teknologi baru diperkenalkan dalam bilik darjah, ada pihak yang Akan menyokong dan mendakwa teknologi ini Akan merevolusikan cara guru mengajar, cara murid belajar dan secara amnya keseluruhan cara pendidikan dikendalikan. Dalam abad ke-21 ini, negara menghadapi cabaran baru kesan daripada globalisasi, liberalisasi, pengantarabangsaan dan perkembangan Teknologi Maklumat dan Komunikasi ( TMK ) . Sehubungan dengan itu Malaysia memerlukan modal insan yang juga celik TMK, progresif dan mampu bersaing di pasaran kerja planetary. Oleh itu, guru-guru perlulah lebih `competent ‘ dan `well-informed ‘ , dimana seseorang guru itu berkemampuan mengolah maklumat dan pengetahuan yang sebegitu banyak dengan ketajaman daya analisisnya dan kemampuannya untuk berfikir secara integratif dan conceptual. Ini akan membolehkannya bertindak balas dengan cepat terhadap perkembangan pesat di sekitarnya. Beberapa masalah timbul mengenai pengetahuan tahap penggunaan Teknologi Maklumat dan Komunikasi di kalangan guru-guru Sains di sekolah menengah. Antaranya adalah:Sejauh manakah tahap penggunaan TMK oleh guru dalam P & A ; P Sains?Adakah penggunaan TMK membantu meringankan beban guru dalam P & A ; P Sains?Apakah faktor-faktor yang mendorong dan menghalang penggunaan TMK oleh guru dalam P & A ; P Sains?OBJEKTIF KAJIANObjektif kajian ini ialah untuk:Untuk mengenalpasti tahap frekuensi penggunaan TMK oleh guru dalam P & A ; P Sains.Untuk mengenalpasti tahap frekuensi bentuk bahan TMK yang digunakan oleh guru dalam P & A ; P Sains.Untuk mengenalpasti faktor yang mendorong penggunaan TMK oleh guru dalam P & A ; P Sains.Untuk mengenalpasti faktor yang menghalang penggunaan TMK oleh guru dalam P & A ; P Sains.Untuk mengenalpasti kelebihan penggunaan TMK dalam P & A ; P Sains.SOALAN KAJIANKajian ini dijalankan untuk menjawab beberapa persoalan mengenai tahap penggunaan TMK oleh guru dalam P & A ; P Sains.Apakah tahap frekuensi penggunaan TMK oleh guru dalam P & A ; P Sains?Apakah tahap frekuensi bentuk bahan TMK yang digunakan oleh gu ru dalam P & A ; P Sains?Apakah faktor yang mendorong peggunaan TMK oleh guru dalam P & A ; P Sains?Apakah faktor yang menghalang penggunaan TMK oleh guru dalam P & A ; P Sains?Apakah kelebihan penggunaan TMK dalam P & A ; P Sains?METODOLOGIDua teknik analisis telah digunakan dalam kajian ini, yakni yang pertama analisis deskriptif dan yang keduanya adalah analisis inferensi. Statistik deskriptif membantu mengatur, memaparkan dan menerangkan informations dengan menggunakan jadual, graf dan teknik rumusan. Terdapat lapan puluh responden, oleh itu ianya boleh diklasifikasikan sebagai sesuatu populasi. Selain daripada itu, statistic inferensi pula merangkumi teknik atau langkah yang menggunakan sampel ujikaji untuk membuat keputusan dan generalisasi terhadap sesuatu populasi. Justeru, demi memenuhi keperluan ujikaji, dua jenis analisis deskriptif telah digunakan. Analisis ini menggunakan peratus untuk menerangkan maklumat tentang latarbelakang responden seperti jantina, umur, bangsa, opysen, bilangan tahun mengajar matapelajaran sains dan latarbelakang pendidikan tertinggi. Analisis yang disertakan dalam kajian ini turut mengandungi peratus, min, sisihan piawai, mod, average serta julat minimal dan maximal untuk menerangkan pembolehubah-pembolehubah yang telah dipilih diatas. Selain daripada itu, empat jenis statistik inferensi turut digunakan dalam kajian ini. Chi- kuasa dua digunakan untuk mengkaji hubungan antara dua pembolehubah nominal, iaitu jantina dan bilangan tahun mengajar matapelajaran Sains. Ujikaji-T pula telah digunakan untuk menentukan min antara pembolehubah-pembolehubah tidak bersandar. Korelasi Pearson R, juga telah digunakan untuk menganalisa perhubungan di antara pembolehubah-pembolehubah tidak bersandar. Pembolehubah-pemboleh ubah yang dikaji adalah tahap penggunaan Teknologi Maklumat dan Komunikasi oleh guru dalam pengajaran dan pembelajaran Sains, faktor-faktor yang mempengaruhi penggunaan Teknologi Maklumat dan Komunikasi oleh guru, serta kelebihan penggunaan Teknologi Maklumat dan Komunikasi dalam pengajaran dan pembelajaran Sains.SAMPEL KAJIANDalam kajian ini, sampel terdiri daripada guru-guru yang mengajar mata pelajaran Sains di sekolah menengah. Sampel kajian ini dipilih secara rawak mudah yang terdiri daripada pelbagai bangsa dan agama. Persampelan rawak mudah merupakan proses menggunakan sampel bila mana individu dalam populasi mempunyai kebarangkalian yang sama untuk dipilih. Bilangan sampel terdiri daripada 80 Pongo pygmaeus guru yang mengajar dalam mata pelajaran Sains di sekolah menengah.INSTRUMEN KAJIANDalam kajian ini satu set soal selidik telah digunakan untuk mengumpul informations iaitu: –Bahagian A: Soal Selidik Latar Belakang RespondenBahagian B: Soal Selidik Tahap Penggunaan Teknologi Maklumat dan Komunikasi Oleh Guru-Guru Sains ( TPTMK )Bahagian C: Faktor-faktor Yang Mempengaruhi Penggunaan Teknologi Maklumat dan Komunikasi oleh Guru dalam Pengajaran dan Pembelajaran Sains ( FPTMK )Bahagian D: Kelebihan Penggunaan Teknologi Maklumat dan Komunikasi oleh Guru dalam Pengajaran dan Pembelajaran Sains ( KPTMK )Bahagian A: Soal Selidik Latar Belakang RespondenBahagian A adalah soal selidik berkaitan dengan maklumat diri subjek. Antara item-item yang dimuatkan untuk mendapatkan maklumat pe ribadi guru ialah umur, jantina, bangsa dan opysen matapelajaran, Di samping itu juga, soal selidik ini berkaitan dengan sumber maklumat mengenai bilangan tahun mengajar dalam mata pelajaran Sains dan latar belakang pendidikan tertinggi. Sumber maklumat ini telah diubah suai oleh pengkaji agar bersesuaian dengan kajian yang dijalankan. Subjek diminta menandakan ( / ) terhadap sumber maklumat yang berkaitan dengan diri subjek.Bahagian B: Soal Selidik Tahap Penggunaan Teknologi Maklumat dan Komunikasi Oleh Guru dalam Pengajaran dan Pembelajaran Sains ( TPTMK )Bahagian ini adalah doal selidik mengenai tahap penggunaan Teknologi Maklumat dan Komunikasi terhadap subjek yang dikaji. Alat kajian ini sebenarnya menguji tentang kekerapan tahap penggunaan Teknologi Maklumat dan Komunikasi subjek dalam Masa seminggu dan juga tahap kekerapan penggunaan peralatan, perkakasan atau perisian yang dibekalkan semasa pengajaran dan pembelajaran Sains. Responden dikehendaki menjawab dua puluh Lima soalan dengan menggunakan dua pilihan jawapan iaitu ya atau tidak.Bahag ian C: Faktor-faktor Yang Mempengaruhi Penggunaan Teknologi Maklumat dan Komunikasi oleh Guru dalam Pengajaran dan Pembelajaran Sains. ( FPTMK )Bahagian C adalah soal selidik berkaitan dengan faktor-faktor yang mendorong dan menghalang penggunaan Teknologi Maklumat dan Komunikasi oleh guru dalam pengajaran dan pembelajaran Sains. Dalam bahagian ini juga, responden dikehendaki menjawab Lima puluh soalan dengan menggunakan dua pilihan jawapan iaitu ya atau tidak.Bahagian D: Kelebihan Penggunaan Teknologi Maklumat dan Komunikasi oleh Guru dalam Pengajaran dan Pembelajaran Sains. ( KPTMK )Bahagian D pula, merupakan soal selidik berkaitan dengan kelebihan penggunaan Teknologi Maklumat dan Komunikasi oleh guru dalam pengajaran dan pembelajaran Sains. Bahagian ini terbahagi kepada dua kumpulan soalan. Responden dikehendaki menjawab soalan dengan menggunakan dua pilihan jawapan iaitu ya atau tidak.PEMBOLEHUBAH KAJIANPembolehubah bebas dalam kajian ini ialah umur, jantina, bangsa, bilangan t ahun mengajar dan latarbelakang pendidikan tertinggi. Manakala pembolehubah bersandar adalah tahap penggunaan TMK dan faktor-faktor yang mempengaruhi serta kelebihan penggunaan TMK. Soalselidik ini terbahagi kepada empat bahagian iaitu Bahagian A, B, C dan D. Bahagian A mengandungi pembolehubah-pembolehubah di bawah:JantinaUmurBangsaOpysenPengalaman mengajar matapeajaran SainsLatarbelakang Pendidikan TertinggiDalam kajian ini terdapat satu set borang soal selidik yang mengandungi tiga bahagian iaitu Bahagian A, Bahagian B, Bahagian C dan Bahagian D. Dalam Bahagian A, soal selidik latar belakang responden digunakan untuk mengumpul maklumat daripada responden, bilangan tahun mengajar dan latarbelakang pendidikan seperti yang dipaparkan di atas. Bahagian B pula, adalah soal selidik berkaitan dengan tahap penggunaan TMK guru dalam pengajaran dan pembelajaran Sains. Soal selidik tentang tahap penggunaan TMK ini terdiri daripada item-item yang berkaitan dengan tahap kekerapan mengunakan TMK dalam seminggu semasa sesi pengajaran dan pembelajaran Sains. Selain itu, item-item berkaitan dengan kekerapan menggunakan peralatan, perkakasan atau perisian TMK dalam Masa seminggu. Bahagian C, adalah berkaitan dengan faktor-faktor yang mempengaruhi penggunaan TMK oleh guru dalam pengajaran dan pembelajaran Sains. Dalam bahagian ini item-item yang terdapat dalamnya adalah berkaitan dengan faktor mendorong dan menghalang responden dalam menjayakan pengajaran dan pembelajaran Sains dengan menggunakan TMK. Bahagian D, adalah mengenai kelebihan penggunaan TMK oleh guru dalam pengajaran dan pembelajaran Sains. Bahagian ini terdiri daripada 50 soalan tertutup yang memerlukan responden menjawab ya atau tidak. Soalan -soalan yang dikemukankan merangkumi, kebaikan dan kelebihan TMK dalam meringankan beban guru dengan menjimatkan Masa, tenaga dan coss dalam penyediaan sesi pengajaran dan pembelajaran Sains.LATARBELAKANG RESPONDENItem-item dalam bahagian A soal selidik secara umumnya digunakan untuk mengenalpasti demografi responden Dari aspek umur, jantina, bangsa, opsyen, bilangan tahun mengajar matapelajaran Sains dan latar belakang akademik responden. Seramai 80 Pongo pygmaeus responden yang terdiri daripada 100 % guru Dari Lima buah sekolah menengah di sekitar daerah Gombak. Seramai 40 Pongo pygmaeus responden terdiri daripada guru lelaki, manakala selebihnya merupakan guru perempuan. Majoriti respoden Lelaki and Perempuan masing masing adalah 50 % ( n=40 ) Majoriti respoden adalah dalam lingkungan 30-34 tahun iaitu sebanyak 31 % ( n=25 ) .Diikuti 30 % ( n=24 ) adalah responden dalam lingkungan umur 25-29 tahun. Umur 35-39 ( n=2 ) responden adalah sebanyak 15 % manakala 14 % responden adalah dalam lingkungan 40-44 tahun. 45 keatas adalah sebanyak 6 % dan 4 % adalah umur diantara 20-24 tahun. Majoriti responden adalah Bangsa Melayu iaitu 44 % ( n=35 ) .Dikuti oleh bangsa Cina 28 % ( n=22 ) , 21 % ( n=17 ) adalah bangsa India, manakala 8 % ( n=6 ) adalah dalam kategori lain lain. Majoriti responden 85 % ( n=68 ) adalalah Dari aliran Sains, manakala 15 % ( n=15 ) adalah dalam aliran Bukan Sains. Sejumlah 39 % respoden ( n=31 ) mempunyai Pengalaman Mengajar diantara 4-6 tahun, 0-3 tahun dalam sebanyak 34 % ( n=27 ) , dikuti 7-9 tahun 20 % ( n=16 ) dan hanya 8 % ( n=6 ) mempunyai Pengalaman Mengajar 10 tahun ke atas. 75 % respoden ( n=60 ) adalah kelulusan Ijazah Sarjana Muda, manakala bagi Ijazah Sarjana dan Diploma masing masing adalah 13 % ( n=10 ) .Analisis informationsEmpat inferens analisis telah dijalankan. Khi kuasa dua digunakan untuk menguji perhubungan antara dua pembolehubah-pembolehubah tidak bersandar nominal, jantina dan bilangan tahun mengajar matapelajaran Sains. T-tests telah dijalankan untuk bandingkan cara antara pembolehubah-pembolehubah bersandar. Tiga pembolehubah bersandar yang telah dikaji ialah: Tahap Penggunaan Teknologi Maklumat dan Komunikasi Oleh Guru-Guru Sains ( TPTMK ) , Faktor-faktor Yang Mempengaruhi Penggunaan Teknologi Maklumat dan Komunikasi oleh Guru dalam Pengajaran dan Pembelajaran Sains ( FPTMK ) , Kelebihan Penggunaan Teknologi Maklumat dan Komunikasi oleh Guru dalam Pengajaran dan Pembelajaran Sains ( KPTMK ) .Ujian DeskriptifJadual 6.1, 6.2 dan 6.3 menunjukan tahap-tahap bagi TPTMK, FPTMK, dan KPTMK masing-masing. Nilai berangka dimensi pembolehubah-pe mbolehubah di atas sahaja tidak menunjukkan kekuatan relatif tahap-tahap ini. Beberapa perbandingan diperlukan untuk menandakan ini. Jadual 6.4: Ujian Analisis Khi Kuasa Dua Antara Jantina Dan Bilangan Tahun Mengajar Untuk Keseluruhan Sampel ( N=80 ) . Langkah 1: H0: Tidak ada perhubungan jantina dan bilangan tahun mengajar H1: Terdapat perhubungan antara jantina dan bilangan tahun mengajar Langkah 2: Kami menggunakan taburan X? untuk menguji darjah kebebasan atau perhubungan antara pembolehubah jantina dan bilangan tahun mengajar Langkah 3: Menentukan kawasan penolakan dan bukan penolakan. Tahap signifikan ialah 0.05 atau 5 % . Kawasan dalam hujung kanan = ? = 0.05 Darjah kebebasan, df = ( Jumlah barisan – 1 ) ( Bilangan ruangan – 1 ) = ( 2 – 1 ) ( 4 – 1 ) = 3 Daripada Jadual X? , untuk df = 3, ? = 0.05, X? = 7.815 Langkah 6: Nilai 3.3 yang diperolehi adalah lebih kecil daripada nilai kritikal ( 7.815 ) dan ia jatuh dalam kawasan bukan penolakan H0. Oleh itu, kami menolak H1 dan mengekalkan H0 ; dimana tidak adenosine deaminase signifikan ( p & lt ; 0.05 ) perhubungan antara jantina dan bilangan tahun mengajar ( X? = 3.3, P & A ; gt ; 0.05 ) . Pekali korelasi additive adalah 0.0018 ( dibundarkan kepada 2 tempat perpuluhan ) Interpretasi: Korelasi di antara TPTMK and FPTMK adalah lemah. Korelasi kuasa dua, merupakan pekali bagi penentuan. r2 = ( 0.0018 ) 2 = 0.00 menunjukkan kiraan 0 % terhadap varians bagi skor FPTMK dalam kes ini. Langkah 4: Menguji dapatan signifikan R melalui hipotesis nul supaya tiada hubungan yang signifikan di antara skor TPTMK dan FPTMK. Bagi menguji nilai dapatan signifikan R yang diperolehi, pertama perlu setkan Arass signifikan yang hendak diuji iaitu 1 % atau pada P & A ; gt ; .01. Kemudian uji hipotesis mengenai populasi pekali korelasi P menggunakan sampel pekali korelasi r. Selain itu jadual taburan T boleh digunakan dalam ujian ini. Apabila n – 2 merupakan nilai darjah kebebasan. Hipotesis nul merupakan pekali korelasi additive di antara dua pembolehubah yang kosong, ? = 0. Hipotesis alternatif boleh menjadi: Pekali korelasi additive di antara 2 pembolehubah yang kurang daripada kosong, ? & A ; gt ; 0 Pekali korelasi additive di antara 2 pembolehubah yang lebih daripada kosong, ? & A ; lt ; 0 Pekali korelasi additive di antara 2 pembolehubah yang tidak sama dengan kosong, ? ? 0 Catat hipotesis nul: ( ? merupakan pekali korelasi populasi ) Holmium: ? = 0 ( Pekali korelasi additive adalah kosong dalam populasi ) H1: ? & gt ; 0 ( Pekali koralsi additive adalah positif dalam populasi ) bermaksud satu hujung ( Apabila kita menguji H1: hanya korelasi positif wujud di mana Iowa adalah mustahil bagi korelasi negative wujud ) ( Selain itu, kita harus menguji H1: ? ? 0, apabila kami ingin menguji korelasi kedua-dua atau negative iaitu ujian dua- hujung ) Langkah 5: Pilih fungsi taburan yang perlu digunakan. Taburan populasi untuk kedua-dua pembolehubah adalah normal. Oleh itu, kita boleh menggunakan taburan T untuk menunjukkan ujian tersebut adalah pekali korelasi linear. Langkah 6: Menentukan kawasan penolakan dan bukan penolakan Aras signifikan adalah 1 % . Melalui hipotesis alternatif, kita dapat mengetahui ujian itu adalah hujung kanan. Oleh itu Kawasan pada hujung kanan taburan T = 0.01 df = n – 2 = 80 – 2 = 78 Melalui taburan T, nilai kritikal bagi T adalah 1.292. Kawasan penolakan dan bukan penolakan untuk ujian ini adalah seperti di bawah: Langkah 8: Membuat keputusan Nilai bagi ujian statistik T = 0.016 is adlah kurang daripada nilai kritikal T = 1.292 dan Iowa jatuh di kawasan yang bukan penolakan. Oleh itu, kita menerima hipotesis nul dan membuat kesimpulan bahawa tiada hubungan additive yang signifikan, di antara TPTMK dengan FPTMK.DAPATAN KAJIANKeputusan Khi-kuasa dua menunjukkan bahawa tiada hubungan di antara jantina dan kawasan khas. ( X2= 3.3, P & A ; gt ; 0.05 ) . Sampel ujian-t yang berpasangan dijalankan untuk menilai jikalau terdapat hubungan di antara FPTMK dan TPTMK, FPTMK dan KPTMK serta TPTMK dan KPTMK. Keputusan menunujukkan bahawa min bagi FPTMK ( , SD= 8.9314 ) adalah signifikan dan lebih besar daripada min bagi TPTMK ( , SD=6.853 ) , t ( 158 ) =44.6329, P & A ; gt ; 0.025. Ini menunjukkan bahawa terdapat perbezaan yang signifikan di antara FPTMK dan TPTMK di kalangan guru. Keputusan ini juga menunjukkan bahawa min bagi KPTMK ( , SD=6.293 ) . Ujian-t di antara FPTMK dan KPTMK T ( 158 ) =51.7703, P & A ; gt ; 0.025. Ini juga menunjukkan bahawa terdapat perbezaan signifikan di antara FPTMK dan KPTMK di kalangan guru. Keputusan ujian-t di antara TPTMK dan KPTMK adalah T ( 158 ) =6.7902, P & A ; gt ; 0.025. Ini juga menunjukkan bahawa terdapat perbezaan yang signifikan di antara TPTMK dan KPTMK di kalangan guru di daerah Gombak.KESIMPULANKesimpulan yang boleh dibuat daripada analisis empat inferensi adalah khi-kuasa dua menunjukkan bahawa tiada perhubungan di antara jantina dan bilangan tahun mengajar. Manakala kesemua keputusan ujian-t menunjukkan bahawa terdapat hubungan di antara jantina dan pengalaman mengajar. Tambahan pula, keputusan kesemua ujian-t tak bersandar yang utama iaitu Tahap Penggunaan Teknologi Maklumat dan Komunikasi Oleh Guru-Guru Sains ( TPTMK ) , Faktor-faktor Yang Mempengaruhi Penggunaan Teknologi Maklumat dan Komunikasi oleh Guru dalam Pengajaran dan Pembelajaran Sains ( FPTMK ) , Kelebihan Penggunaan Teknologi Maklumat dan Komunikasi oleh Guru dalam Pengajaran dan Pembelajaran Sains ( KPTMK ) ada menunjukkan perkaitan antara satu sama lain. Pekali korelasi Pearson di antara tiga pembolehubah ( TPTMK, FPTMK, KPTMK ) menunjukkan bahawa tidak terdapat hubungan additive yang signifikan di antara mereka. Berdasarkan pada keputusan analisis yang di perolehi, di sarankan adalah baik sekiranya tahap penggunaan teknologi maklumat dan komunikasi oleh guru ditingkatkan. Ini secara tidak langsung akan membantu parity guru meringankan beban guru-guru di sekolah dan Iowa juga akan memberikan kesan baik terhadap pelajar. Guru-guru baru juga harus menjalani kursus pra-pratikum di mana mereka perlu didedahkan kepada Pendekatan Penggunaan Teknologi Maklumat dan Komunikasi dalam Pengajaran Sains. Manakala guru-guru yang sudah berada dalam perkhidmatan atau guru yang berpengalaman, boleh didedahkan kepada Penggunaan Teknologi Maklumat dan Komunikasi melalui kursus pendek atau kursus dalaman. Umumnya, Iowa boleh dikatakan bahawa ramai guru yang berpengalaman secara semula jadi mempunyai banyak pendedahan dan motivasi untuk membangunkan profesion pengajaran mereka. Walaubagaimanapun, kepercayaan ini boleh menjadi persoalan dalam konteks fakta dimana kebolehan dan kecemerlangan seseorang individu boleh meningkat melalui insiatif sendiri atau pembangunan serta keazaman untuk memperbaiki diri sendiri. Oleh itu, ia boleh diringkaskan kepada realiti bahawa Iowa bergantung kepada diri guru itu sendiri untuk menyedari dan meningkatkan kemahiran pengajaran sendiri untuk menjadi guru yang inovatif dan kreatif.RUJUKANCoakes, S.J. , et Al. ( 2008 ) . SPSS Analysis Without Anguish. China: John Wiley & A ; Sons Inc.Green, S.B. , et Al ( 1997 ) . Using SPSS for Windowss: Analyzing and Understanding Data. New Jersey: Prentice HallMann, P.S. ( 2007 ) . Intoduction Statistic 6th Edition. New Jersey: John Wiley & A ; Sons Inc.Norusis, M.J. ( 1997 ) . SPSS Guide to Data Analysis. New Jersey: Prentice Hall

What Causes Mammals To Be Extinct - 1098 Words

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