Analysis of Attitudes to Student Housing

Chapter ONE Introduction: 1.1BACKGROUND TO THE STUDY Student lodging is an indispensable constituent of the substructure of any university campus. They are even more of import in a private university. It is of import that pupil lodging installations should let pupils to transport out their academic activities freely while promoting societal interaction. Completed residential edifices should non merely be fit for the intent of the users, but besides be able to execute their maps in such ways as to guarantee comparative occupants ’satisfaction ( Liu, 1999 ) . Research has shown that designers and edifice users’ differ in their criterions or thoughts about the manner edifices should look or run. The designer is normally concerned with aesthetics, economic system, structural stableness, functionality, fulfilling the client ; while the user is chiefly concerned with how best the edifice accommodates his activities. It is necessary for betterment of the design procedure particularly in structured establishments with the possible to transport out similar design and building undertakings that an rating of the public presentation of their existing installations is carried out. The consequence of certain physical and psychological facets of a edifice on the users’ productiveness can non be understated. It is necessary that an appraisal of pupil inn installations and their functionality be carried out. This formal rating of the built environment is called â€Å"Post Occupancy Evaluation ( POE ) † and it is the rating of a edifice with accent placed on its functional characteristics instead than the aesthetics, proficient and economical characteristics entirely. Post Occupancy Evaluation aims to enable clients, determination shapers, and operators of assorted installations to supply better environments for clients, residents, and users ( Cubukcu and Isitan, 2011 ) . Student perceptual experiences can be assessed in footings of both proficient ( i.e. , acoustic and ocular comfort ) and functional ( i.e. , room coatings and room layout ) demands. However, proficient and functional edifice public presentations are considered as two different facets that can be used to explicate student residential satisfaction ( Hassanain, 2008 cited in Akinluyi, 2013 ) . Similar surveies ( Foubert et Al, 1998, Amole, 2009a & A ; Khozaei et al. , 2010 ) in utilizing a different attack have factored in direction of the installations, this includes elements such as inn regulations and fees and the attitudes of inn employees. Several factors can be used to measure overall satisfaction with pupil lodging, including physical variables such as installations and excess services ( Hassanain, 2008 ) . Social variables such as pupil relationships, herding and privateness may besides be considered as factors used to measure user satisfaction. This systematic method evaluates the success and failures of completed design undertakings. Such information could be utilized:To better the completed and future design undertakings by better informing the interior decorators of the users’ demands and better bing edifice public presentation by modifying care and direction patterns.To make an indifferent memory for specific types of design undertakings ( such as infirmary and airdrome design or design of a university campus ) .To develop design guidelines for future design undertakings.1.2STATEMENT OF PROBLEM Many edifices do non execute as planned, some end up functioning an wholly different intent from that for which ground they were constructed. In some instances this can impact on running costs and care, user and client satisfaction and public presentation, wellness, safety and comfort. Harmonizing to Akinluyi ( 2013 ) , for repetition building clients such as universities, larning from, and rectifying past errors in design and commissioning of edifices can be highly cost-efficient and better the public presentation of the establishment in general, its installations in peculiar and greatly better all-around productiveness of the pupils. Housing installations, as before stated, is particularly of import in universities and it is of import that these installations meet the demands of the user for maximal user satisfaction. Harmonizing to Awolesi ( 2008 ) , designs are being constrained by utmost boundaries of cost and economic system, aesthetic considerations, the infinite demands of the clients, or as prevalent in establishments, the demand to do the edifice reflect the bing architectural manner of its immediate environment or typology and this consequences in constructions that sometimes compromise criterions and most times do non see the demands of the proposed users. While there is a demand for considerations of economic system, aesthetics and the of import demands of the client, the users’ demands do non hold to be sacrificed wholly. Residents’ satisfaction is one of the major determiners of edifice public presentation, quality and the success of the design undertaking. This survey seeks to analyze the degree of satisfaction of pupils with the lodging installations provided by the school. In peculiar, it investigates the first male and female inns built by the Physical Planning and Development Department of the Covenant University and the degree of satisfaction of pupils with the infinites provided within the halls. 1.3RESEARCH QUESTIONSHow functional are the infinites provided within the halls?How do pupils react to the infinites in footings of satisfaction?Does gender impact the degree of user satisfaction of pupils?1.4AIM AND OBJECTIVES The purpose of this survey is to measure the station tenancy use of two of the pupil inn installations in Covenant University as it relates to the degree of satisfaction of the pupils with the inn installations and how much these responses are determined by the gender of the pupils. To accomplish this purpose, the more specific aims are:To analyze the inn installations ( viz. Esther Hall and Peter Hall ) in footings of users’ satisfaction.To measure the students’ usage and response to these installations and the infinites within.To analyze how much this reaction is determined by the gender of the pupils.To analyze the quality of the students’ lodging based on the users’ responses and satisfaction with the installations.1.5Justification OF THE STUDY This survey is of import because the pupil lodging installations are an of import portion of the built environment in university campuses. This is particularly so in private universities peculiarly where it is compulsory for all pupils to shack on the campus in inn installations provided by the school. It will measure to what extent the gender of pupils affect the usage and perceptual experience of the infinites within the inn installations and the installations in general and how these infinites can be better adapted to accommodate the demands and demands of the different genders without giving economic system in design and execution ( i.e. building ) . This survey will assist to measure the success of completed design undertakings and measure the extent to which the designers’ purpose and outlooks are aligned with the users’ demands. 1.6Significance OF THE STUDY The survey is aimed at measuring the degree of user satisfaction of pupils in Esther and Peter Halls in Covenant University. It will measure how good the edifices match the demands of the male and female pupils and place ways to better public presentation and fittingness for intent. It will besides analyze the consequence of gender on user response to infinites in footings of satisfaction. The survey will therefore add to the organic structure of cognition every bit good as inform University decision makers on how to student inns can be better designed to accommodate the demands of the pupils. It will besides supply feedback on the degree of satisfaction of the users of the pupil inns being studied. 1.7Scope OF THE STUDY The survey will measure the types of inn installations available in Covenant University with focal point on Esther Hall and Peter Hall. Covenant University is a private university located in Sango-Ota. It was founded in 2002 by the Living Faith Commission in Canaan land, Ota. The University has 4 chief colleges. They are: the College of Business, College of Leadership and Developmental Studies, College of Science and Technology and College of Engineering. The University is good planned with clearly defined subdivisions such as the residential country, academic country, and recreational countries amongst others. The University is to the full residential ( for the pupils ) with 10 inn installations ( 5 male and 5 female inns ) provided to decently house the increasing pupil population. The male inns are the: Peter Hall, Paul Hall, John Hall, Joseph Hall and Daniel Hall. The female inns are: Esther Hall, Mary Hall, Deborah Hall, Lydia Hall and Dorcas Hall. Esther and Peter Hall are the oldest inn installations, built when the school was founded in 2002. These halls have the same design but are occupied by pupils of the two genders. The survey will measure the public presentation of the infinites provided in these halls based on the degree of pupil satisfaction. 1.8LIMITATIONS OF STUDY Due to the nature of the survey, the following are the restrictions that were experienced:The rawness of the research worker.The unanticipated response of users/occupants.Insufficient clip. The clip restraint was a major restriction.1.9RESEARCH METHODOLOGY This survey will basically utilize primary beginnings of information. Data was obtained from occupant pupils across assorted programmes of survey within the capable halls of abode utilizing structured questionnaires. Randomization is achieved by administering these questionnaires across the assorted wings and floors in the halls of abode in a systematic manner. There are 7 wings in each of the halls with 4 floors and 8 suites on each floor, except for A and G wings with 5 suites on each floor. The questionnaires will be distributed to at least 2 pupils on each floor. 1.10DEFINITION OF TERMS Appraisal: This is a opinion of a edifice based on certain selected standards. Constructing Performance: This is the mode in which a edifice maps. It has different facets some of which are quantitative in nature while others are qualitative. Some of these facets are ; energy direction, life-cycle costing, illuming, acoustics, humidness, thermic comfort and spacial relationships. Gender: Gender may be defined as the belongingss that distinguish beings on the footing of their generative functions. Post-Occupancy Evaluation: Preiser et Al. ( 1988 ) defines Post-Occupancy Evaluation as ‘the procedure of measuring edifices in a systematic and strict mode after they have been built and occupied for some time’ . Friedman ( Friedman et al, 1978 ) defines Post Occupancy Evaluation from an anthropometric position as â€Å"an assessment of the grade to which a designed scene satisfies and supports explicit and implicitly human demands and values of those for whom a edifice is designed† Student Housing: Khozaei et Al. ( 2010 ) define pupil lodging as a dumbly populated constructing with many suites in which each room contains several beds. Harmonizing to this definition, pupil lodging installations provide kiping and populating quarters, normally without private bathrooms or lavatories, for a big figure of people. It normally consists of many communal infinites such as baths, washs and in some instances common suites. Student lodging goes by many names, such as halls of abode, pupil residence hall and inns. User Satisfaction: User satisfaction is a procedure of mensurating what was received and what was expected. It is the positive experience expressed by residents when their lodging installation meets their outlooks for unit characteristics, services and installations provided.

Motivation and Organizational Culture

3 Motivation and Organizational Culture Tawny Christensen HCA 250 March 14, 2013 Darlene Tomlinson Motivation and Organizational Culture Assignment In any given business or workplace environment the employees that work there should be the most valued assets. Research has shown that personnel who are happy and taken care of are much more productive than those who are not, therefore establishing a more pleasing work atmosphere. That being said, business leaders and managers alike play an extremely important role in workplace psychology.According to our text, leadership is the process of leading a group and influencing its members to achieve common goals. All managers are leaders (Robbins, DeCenzo, and Coulter, 2011). In today’s society more managers are leading through empowerment by allowing team members to be involved in the decision making process. More and more employees â€Å"are developing budgets, scheduling workloads, controlling inventories, solving quality problems, a nd engaging in similar activities that until very recently were viewed exclusively as part of the manager’s job,† (Robbins, DeCenzo, and Coulter, 2011).As mentioned earlier, research has shown that employees who are pleased are far more beneficial than employees who are not. There are many things that managers can do to ensure that their employees feel valued, and remain satisfied. First of all, it is important that managers avoid using intimidation. To intimidate means to make nervous, or instill fear. In some cases an individual can take advantage of their title and turn in to an authoritarian. In a sense this means that the big guys squash the little guys. Employees

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

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