The Analysis on Career Selection and Decision Making of Graduates of Teachers College

2019 ◽  
Vol 32 (1) ◽  
pp. 1-20
Author(s):  
Joo-Young Jung ◽  
1973 ◽  
Vol 17 (1) ◽  
pp. 69-79 ◽  
Author(s):  
Owen McKevitt ◽  
Graham Douglas

Knowledge of occupational origins from which teachers are recruited may influence decision-making by recruitment officers. For administrators, it may provide guidelines to understanding teachers' perceptions of their role, of students and the school. The authors examined occupational origins of bonded students proceeding, in 1970 and 1971, to the University of Western Australia through Secondary Teachers' College. Data show that teaching attracts, especially, sons and daughters of teachers, along with those of a limited number of other workers also categorized by the Commonwealth Bureau of Census and Statistics as ‘professional, technical and related workers’. Teaching apparently fails to attract even moderate numbers from homes of other important professional workers, including medical and dental practitioners, lawyers, non-pharmaceutical chemists, physicists, geologists, biologists, veterinarians and agronomists.


2020 ◽  
pp. 1-20
Author(s):  
Muhammad Akram ◽  
Gulfam Shahzadi ◽  
Sundas Shahzadi

An q-rung orthopair fuzzy set is a generalized structure that covers the modern extensions of fuzzy set, including intuitionistic fuzzy set and Pythagorean fuzzy set, with an adjustable parameter q that makes it flexible and adaptable to describe the inexact information in decision making. The condition of q-rung orthopair fuzzy set, i.e., sum of q th power of membership degree and nonmembership degree is bounded by one, makes it highly competent and adequate to get over the limitations of existing models. The basic purpose of this study is to establish some aggregation operators under the q-rung orthopair fuzzy environment with Einstein norm operations. Motivated by innovative features of Einstein operators and dominant behavior of q-rung orthopair fuzzy set, some new aggregation operators, namely, q-rung orthopair fuzzy Einstein weighted averaging, q-rung orthopair fuzzy Einstein ordered weighted averaging, generalized q-rung orthopair fuzzy Einstein weighted averaging and generalized q-rung orthopair fuzzy Einstein ordered weighted averaging operators are defined. Furthermore, some properties related to proposed operators are presented. Moreover, multi-attribute decision making problems related to career selection, agriculture land selection and residential place selection are presented under these operators to show the capability and proficiency of this new idea. The comparison analysis with existing theories shows the superiorities of proposed model.


Author(s):  
Mohammed Issah ◽  
◽  
Abdulghani Al-Hattami ◽  

There have been calls for pre-service teachers to be equipped with leadership skills. The 21st century urges schools and colleges to prepare the next generation of teachers to have leadership skills and to foster these skills among their students in the classroom. Pre-service teachers need to be equipped with leadership skills to be capable of making real changes in society. This study was conducted to examine to what extent pre-service teachers in Bahrain Teachers College possess leadership skills and the strategies faculty ought to use to improve those skills. A validated survey consisting of eight categories of leadership skills was used to collect the data. The sample consisted of 177 students from different majors (Arabic and Islamic, English, Maths and Science, and Cycle One). The results showed that pre-service teachers possess leadership skills and confirmed developing these skills in the classroom. The pre-service teachers enhanced their leadership skills in planning, problem-solving, self, and other management/controlling, communication, teamwork, decision-making, motivating, evaluation. Furthermore, the participants identified teaching strategies such as group presentation, group work, project-based learning, and problem-based learning as the strategies used by faculty in teaching, which they said facilitates the development of leadership skills in the classroom.


2015 ◽  
Vol 117 (4) ◽  
pp. 1-10 ◽  
Author(s):  
Martin Orland

The suite of papers in this special Teachers College Recordissue on data-driven decision making in education reflects a burgeoning subdiscipline of scholarship on the topic that has been stimulated by the constantly evolving educational policy landscape. For at least two decades, policy makers have resonated to the importance of data in education as an accountability tool and have advocated policies for the collection and reporting of such data to fulfill accountability objectives. Early examples of this at the federal level include the creation of the National Education Goals Panel in 1990 (National Education Goals Panel, 1999) to annually report on national and state educational progress toward the National Education Goals adopted by president and the nation's governors, as well as requirements by the U.S. Office of Management and Budget for data documenting the effectiveness of federal programs both in and outside of education under the Government Performance and Results Act (GPRA) of 1994. The argument or implicit logic model among policy makers for the role and importance of data for accountability has taken two principal forms that we can label “soft” and “hard” accountability. Under soft accountability, the revelation of comparable public data about the performance of various levels of the system (e.g., states, districts, schools) is assumed to create public pressure on these entities’ future performance (National Research Council, 2011). That is, “naming and shaming” jurisdictions through publishing data about student achievement, dropout rates, qualifications of teachers, spending levels, and so on are assumed to create needed incentives for these entities to maintain their relative standing on these indicators if they are high or to improve them if they're low. One prominent example of soft accountability through data is the increasing promulgation of state reports during the 1990s and 2000s providing public metrics on critical indicators for all schools in a state.1 Currently, all 50 states and the District of Columbia now publish such report cards annually as a requirement for receiving federal Title 1 funds.2


2021 ◽  
Vol 8 (1) ◽  
pp. 27
Author(s):  
Irwan Irwan ◽  
Gustientiedina Gustientiedina ◽  
Alyauma Hajjah ◽  
Yenny Desnelita ◽  
Wilda Susanti

<p class="Abstrak">Model <em>softwar</em>e konsultasi seleksi karir sebagai alternatif  pengambilan keputusan dimana  konsultasi meliputi pemahaman karir, perencanaan karir, alternatif pilihan karir yang berupa alat penelusuran minat dan bakat siswa terhadap keputusan karir siswa menggunakan metode <em>certainty factor</em> berbasis sistem pakar. Penelitian ini menghasilkan model <em>software</em> konseling dalam memperoleh informasi penting tentang pengembangan karir siswa dan membantu memfasilitasi perkembangan individu siswa melalui bentuk layanan agar mampu merencanakan karirnya berdasarkan jurusan, minat, bakat, pengetahuan, kepribadian, kompetensi dan faktor-faktor lain yang mendukung kemajuan dirinya dalam menentukan pilihan dan keputusan yang sesuai dengan dunia kerja pilihan siswa.Sistem diuji menggunakan<em>white box</em> dan <em>black box</em>dengan menunjukan hasil dimana sistem dapat digunakan sesuai kebutuhan.</p><p class="Abstrak"> </p><p class="Abstrak"><em><strong>Abstract</strong></em></p><p class="Judul2"><em>Career selection consulting software model as an alternative decision making where consultation that includes career understanding,</em><em>career understanding, career planning, alternative career choices in the form of a tool to trace students' interests and talents towards student career decisions using expert system based certainty factor method. </em><em>This research produces a counseling software model in obtaining important information about student career development and helps facilitate individual students development  through a form of service in order to be able to plan his career based on majors, interests, talents, knowledge, personality, competencies and other factors that support his progress in determining choices and decisions that are </em><em>appropriate to the world of work choice.</em><em> The system is tested using white boxes and black boxes by showing the results where the system can be used as needed</em><em>.</em><em></em></p><p class="Abstrak"><em><strong><br /></strong></em></p>


Author(s):  
Rio Hermawan ◽  
Muh Farozin

AbstractIn the digital era, humans were required to be more able to develop themselves according to potentials owned so that it was important for each individual to understand his/her ability and also able to develop other various skills. Career selection was one of most important decision making processes in individual living. However, today learners were facing various different career environment both in characteristics as well as their kinds, and also trend of learners who were less understand potentials owned both due to their ignorance as well as due to they do not explore nor develop potentials owned so that it gives a negative impact for himself/herself in a career decision so that needed roles of career exploration in a career decision making. Therefore, understanding, awareness and acceptance towards potentialsowned by each individual is necessary in supporting learner career in the future. Efforts conducted in preparing learner career were very much. One of efforts in preparing it was by exploring career. Career exploration was defined as an individual desire to explore or search information towards career information sources. Roles of career exploration in a career decision was related to a career exploration region includes selection orientation, self-exploration, environmental exploration, in-depth environmental exploration, decision status and commitment.


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