The Future Relationships Scale: Measurement of student perceptions of what makes an adult intimate relationship successful

1990 ◽  
Vol 4 ◽  
pp. 1-16
Author(s):  
Kym Dickinson ◽  
Barry Tainton
Keyword(s):  
Student Perceptions ◽  
Intimate Relationship ◽  
Measurement Scales ◽  
Academic Aspirations ◽  
Human Relationships ◽  
Independent Variables ◽  
Functional Relationships ◽  
The Future ◽  
Educational Guidance ◽  
Relationship Therapy

This paper briefly outlines the procedures that were undertaken in the development of the Future Relationships Scale (FRS) and discusses its possible application potential. An analysis of the existing literature on Family and Relationship therapy and established diagnostic measurement scales in the area, failed to locate an instrument that could aid in the measuring of perceptions of adolescents of the components that help to make an adult intimate relationship functional. This area was seen by the authors to be important particularly in the light of the development of school based Human Relationships Education. As a result a questionnaire was devised and administered to Year 12 students across three State high schools in Central Queensland. The questionnaire comprised 5 main parts. Part 1 obtained data on a number of independent variables. Part 2 was designed as an open-ended statement that sought Year 12 students' opinions about the components of functional relationships. Part 3 was the Future Relationships Scale. Parts 4 and 5 contained established scales that provided further information on independent variables and validation for the Future Relationships Scale. Analyses of the data indicated that the FRS is worthy of further development, and that Future Relationships was related to the sex and academic aspirations of the student, Personal Beliefs, and Family Assessment. The FRS would appear to be a potentially viable instrument for use in educational guidance and counselling.

scholarly journals Pengaruh persepsi siswa tentang penerapan metode tutor sebaya, lingkungan belajar dan motivasi belajar siswa terhadap efektivitas metode pemecahan masalah dan hasil belajar siswa ranah kognitif pada kelas I MI Al Hikmah Ngareskidul Gedeg Mojokerto

2017 ◽  
Vol 1 (1) ◽  
pp. 103
Author(s):  
Achmad Padi
Keyword(s):  
Learning Environment ◽  
Learning Outcomes ◽  
Student Perceptions ◽  
Significant Relationship ◽  
Student Motivation ◽  
Cognitive Learning ◽  
Independent Variables ◽  
Application Method ◽  
Peer Tutor ◽  
Cognitive Learning Outcomes

The purpose of this study are: 1) To determine whether the effect Implementation Method Student Perceptions of the Effectiveness of Peer Tutor troubleshooting methods. 2) To determine whether the learning environment affect the effectiveness of troubleshooting methods. 3) To determine whether the Student Motivation affect the effectiveness of troubleshooting methods. 4) To determine whether the Student Perceptions of Peer Tutor Application Method to cognitive learning outcomes of students. 5) To determine whether the learning environment affect the students' cognitive learning outcomes. 6) To determine whether the Student Motivation towards cognitive learning outcomes of students. 7) To determine whether the Student Perceptions of Peer Tutor Application Method, learning environment, Student Motivation affect the effectiveness of troubleshooting methods. 8) To determine whether the Student Perceptions of Peer Tutor Application Method, learning environment, Student Motivation effect on students' cognitive learning outcomes. From the analysis can be summarized as follows: 1) There is a significant relationship between Student Perceptions of Peer Tutor Application Method, learning environment, Student Motivation Method of the Effectiveness of troubleshooting. with the value Fhitung 77 978 (significance F = 0. 000). So Fhitung> Ftabel (77 978> 1. 69) or Sig F <5% (0. 000 <0. 05). This means that together the independent variables consist of variables Student Perceptions about the application of the method tutor Peer (X1), the Learning Environment (X2), Student Motivation (X3) simultaneously to variable Efektiftas Solving Methods of Problem Solving (Y1) 2) There is a significant relationship between student Perceptions of Peer Tutor Application method, learning environment, student Motivation towards learning outcomes of students cognitive value Fhitung 78 323 (significance F = 0. 000). So Fhitung> Ftabel (78 323> 1. 69) or Sig F <5% (0. 000 <0. 05). This means that together the independent variables consist of variables Student Perceptions of Peer tutor application method (X1), the Learning Environment (X2), Student Motivation (X3) simultaneously to variable Learning Outcomes Cognitive Domains (Y2).

scholarly journals Pengaruh Dukungan Sosial dan Selfefficacy Terhadap Orientasi Masa Depan Pada Remaja

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Muhammad Dwirifqi Kharisma Putra ◽  
Nia Tresniasari
Keyword(s):  
Social Support ◽  
Self Efficacy ◽  
Future Orientation ◽  
Independent Variables ◽  
The Social ◽  
Confirmatory Factor ◽  
The Future ◽  
Social Provisions ◽  
General Self Efficacy ◽  
Orientation Test

Teenage years determines success in the future. Good teenagers are who are responsible to their own success in the future, known as future orientation. Given how important future orientation is, researchers examined variables which affect future orientation, thus future orientation can be optimalized. Dimensions of social support and self-efficacy chosen as independent variables. Respondents of this study were 326 students of one of high school in Jakarta. Future orientation, measured using Orientation Test–Revised developed by Scheir, Carver, and Bridges (1994). Social Support, measured using The Social Provisions Scale developed by Cutrona and Russel (1987). Self-efficacy, measured using General Self-efficacy Scale developed by Bosscher and Smit (1998). Instruments' validity were tested using Confirmatory Factor Analysis and data was analysed using Multiple Regression Analysis. α=0.05, result of this study shows future orientation was affected by dimensions of social support, self-efficacy, and interaction between reassurance and self-efficacy with R-square = 30.3%.

scholarly journals Pengaruh Sistem Pelaporan dan Kejelasan Sasaran Anggaran Terhadap Akuntanbilitas Kinerja Instansi Pemerintah (Studi Pada Satuan Kerja Pemerintah Aceh)

2018 ◽  
Vol 2 (2) ◽  
pp. 95-101
Author(s):  
Mulyadi AR ◽  
Syamsidar Syamsidar ◽  
Dedy Efendy
Keyword(s):  
Quantitative Data ◽  
Reporting System ◽  
Regression Coefficients ◽  
Government Agencies ◽  
Government Performance ◽  
Independent Variables ◽  
Dependent Variables ◽  
The Future ◽  
Scale Data ◽  
Dominant Influence

This research aims to determine the effect of the reporting system and the clarity of the budget target on the accountability of the performance of Aceh Government Agencies, the formulation of the problem in this study is whether there is an effect on the reporting system and clarity of budget targets on the accountability of Aceh Government performance both simultaneously and partially.Data collection uses a questionnaire, and is analyzed qualitatively and converted into quantitative data using a Likert Scale. Data analysts to see the effect of dependent variables with independent variables using analysis of multiple linear regression equations.The population of this study amounted to 84 respondents, who were examined by the Head of Section (Head of Section) and Head of Division (Head) in Aceh Government Agencies. The results of the study found that the reporting system and the clarity of budget targets simultaneously had a significant effect on the performance of the Aceh Government. The partial reporting system has a significant effect on the accountability of the performance of Aceh Government Agencies. Clarity of budget targets partially has a significant effect on the accountability of the performance of Aceh Government Agencies. The reporting system has more dominant influence on the accountability of the performance of Aceh Government Agencies. It is expected that in the future the Aceh Government will pay more attention to the clarity of the budget goals in budgeting, because the results of the research regression coefficients have the smallest effect on the accountability of the performance of Aceh Government agencies in clarity of budget targets, with the hope that these variables will have greater influence on the accountability of Agency performance The Aceh Government in the future.

Student Perceptions of Online Learning During the Covid-19 Pandemic

2021 ◽  
Vol 2 (1) ◽  
pp. 1-16
Author(s):  
Jesi Jecsen Pongkendek ◽  
Dewi Satria Ahmar ◽  
Haris Munandar ◽  
Muhammad Fath Azzajjad
Keyword(s):  
Online Learning ◽  
Blended Learning ◽  
Student Perceptions ◽  
Random Sampling ◽  
Face To Face ◽  
Question Item ◽  
The Future ◽  
Learning Platforms ◽  
Face To Face Learning ◽  
Made In

Due to the COVID-19 pandemic, lectures must be conducted online. This research is a survey research to find out the perception of students in participating in online learning. Survey of Musamus University students in 6 faculties with a total of 262 respondents. Respondents were selected by proportionate stratified random sampling. The instrument used is a questionnaire made in google form with a total of 21 questions. Data analysis was carried out by calculating the percentage of each answer for each question item. Through this research, the results obtained are (1) Students realize online learning is a learning solution during the Covid-19 pandemic; (2) Students are happy with participating in online learning; (3) Students are enthusiastic to complete assignments; (4) Students realize that through the assignment of lecturers their knowledge is increasing; (5) Students find online learning beneficial for them; (6) Students have mastered the use of online learning platforms; (7) Students hope that online learning will no longer be carried out in the future. Students also prefer face-to-face learning compared to blended learning and online learning, but some students have realized that the blended learning model is an alternative in learning that can be applied in the future

Student Perceptions of Virtual Education

2011 ◽  
pp. 132-141 ◽  
Author(s):  
Anil Kumar ◽  
Poonam Kumar ◽  
Suvojit Choton Basu
Keyword(s):  
Higher Education ◽  
Student Perceptions ◽  
Educational System ◽  
Virtual Education ◽  
Communications Technology ◽  
Traditional Classrooms ◽  
Electronic Classroom ◽  
Perceptions Of Students ◽  
The Future

Over the years instructors and administrators have worked together to provide education to students in academic institutions. The role of the participants in this educational system were well-defined. Instructors and administrators were responsible for the dissemination of knowledge and the methodology used was simple: the instructor transferred the knowledge to the students. The merging of computers and communications technology is transforming the way we teach and learn. Physical classrooms are being replaced by electronic classrooms. The roles of the participants are being redefined where the instructor is becoming a facilitator in the electronic classroom and students are participating in these classes from anywhere and at anytime. Questions that arise for universities include: Is this the future of higher education? Will electronic classrooms replace traditional classrooms? In this study we explore and discuss the perceptions of students in a mid-western rural university regarding virtual education. Implications for the participants in the educational system are also discussed.

Re-imagining the Future of Happiness at the Workplace

2020 ◽  
Vol 13 (4) ◽  
pp. 487-494
Author(s):  
Anuradha
Keyword(s):  
Artificial Intelligence ◽  
Life Satisfaction ◽  
Job Performance ◽  
Middle Managers ◽  
Well Being ◽  
Intimate Relationship ◽  
Vital Role ◽  
Policy Changes ◽  
Hrm Practices ◽  
The Future

The future of work is likely to usher in dramatic changes in the form and substance of the employment contract. Technology, artificial intelligence, automation, policy changes and evolving labour market are few factors playing a vital role in workplace transformation. It is important that organisations emphasise civility in engaging with employees in the workplace to enable them to feel happy as happier people are more productive. In order to shape a happy workforce in the future, leaders, particularly, middle managers need to reinforce the spirit of well-being-oriented human resource management (HRM) practices. Organisations need to engage with employees outside the domain of work as well, as life satisfaction constitutes an important factor in determining job performance. Finally, in order to structure a happy workforce in the future, employers need to recognise that business and ethics have an intimate relationship with each other and cannot be seen as separable.

Transport Energy Demand Modeling of the United States Using Artificial Neural Networks and Multiple Linear Regressions

2014 ◽  
Author(s):  
Arash Kialashaki ◽  
John Reisel
Keyword(s):  
Neural Network ◽  
United States ◽  
Energy Demand ◽  
Regression Models ◽  
The United States ◽  
Transportation Energy ◽  
Independent Variables ◽  
Transportation Sector ◽  
The Future ◽  
Artificial Neural

In 2009, the transportation sector was the second largest consumer of primary energy in the United States, following the electric power sector and followed by the industrial, residential, and commercial sectors. The pattern of energy use varies by sector. For example, petroleum provides 96% of the energy used for transportation but its share is much less in other sectors. While the United States consumes vast quantities of energy, it has also pledged to cut its greenhouse gas emissions by 2050. In order to assist in planning for future energy needs, the purpose of this study is to develop a model for transport energy demand that incorporates past trends. This paper describes the development of two types of transportation energy models which are able to predict the United States’ future transportation energy-demand. One model uses an artificial neural network technique (a feed-forward multilayer perceptron neural network coupled with back-propagation technique), and the other model uses a multiple linear regression technique. Various independent variables (including GDP, population, oil price, and number of vehicles) are tested. The future transport energy demand can then be forecast based on the application of the growth rate of effective parameters on the models. The future trends of independent variables have been predicted based on the historical data from 1980 using a regression method. Using the forecast of independent variables, the energy demand has been forecasted for period of 2010 to 2030. In terms of the forecasts generated, the models show two different trends despite their performances being at the same level during the model-test period. Although, the results from the regression models show a uniform increase with different slopes corresponding to different models for energy demand in the near future, the results from ANN express no significant change in demand in same time frame. Increased sensitivity of the ANN models to the recent fluctuations caused by the economic recession may be the reason for the differences with the regression models which predict based on the total long-term trends. Although a small increase in the energy demand in the transportation sector of the United States has been predicted by the models, additional factors need to be considered regarding future energy policy. For example, the United States may choose to reduce energy consumption in order to reduce CO2 emissions and meet its national and international commitments, or large increases in fuel efficiency may reduce petroleum demand.

Bias in the Estimation of Functional Relationships from Time Series Data

1985 ◽  
Vol 42 (1) ◽  
pp. 147-149 ◽  
Author(s):  
Carl J. Walters
Keyword(s):  
Time Series ◽  
Measurement Errors ◽  
Time Series Data ◽  
Series Data ◽  
Parameter Estimates ◽  
Natural Experiments ◽  
Independent Variables ◽  
Functional Relationships ◽  
Stock Recruitment ◽  
The Relationship

Functional relationships, such as stock–recruitment curves, are generally estimated from time series data where natural "random" factors have generated both deviations from the relationship and also informative variation in the independent variables. Even in the absence of measurement errors, such natural experiments can lead to severely biased parameter estimates. For stock–recruitment models, the bias is misleading for management: the stock will appear too productive when it is low, and too unproductive when it is large. The likely magnitude of such biases can and should be determined for any particular case by Monte Carlo simulations.

scholarly journals Technology enhanced learning environments in higher education: A cross-discipline study on teacher and student perceptions

2021 ◽  
Vol 18 (4) ◽  
pp. 147-168
Author(s):  
Sue Downie ◽  
◽  
Xiaoping Gao ◽  
Simon Bedford ◽  
Kenton Bell ◽  
...  
Keyword(s):  
Higher Education ◽  
Student Perceptions ◽  
Online Survey ◽  
Technology Enhanced Learning ◽  
Education Student ◽  
Digital Learning ◽  
The Future ◽  
Teachers And Students ◽  
Teacher And Student Perceptions ◽  
Enhanced Learning

Teacher and student perceptions of using technology enhanced learning (TEL) in higher education have received growing attention, particularly during COVID-19, however existing studies are mainly disciplinespecific. This study adopts a holistic cross-disciplinary approach. It compares teacher and student perceptions on defining TEL, promotors and barriers for its use, and solutions offered for better use of TEL in the future. Both qualitative and quantitative data were collected from an Australian university. A total of 75 teachers and 48 students completed an online survey, and of these participants, 24 teachers and 29 students participated in follow-up focus group interviews that included Kahoot! surveys. Quantitative results show that teacher and student perceptions on TEL were generally aligned except that self-reported technology savviness and confidence was rated higher than how students and staff rated each other. Qualitative analyses reveal that both teachers and students identified the main promoters for TEL as being: modern and expected in higher education, while being equalising, efficient, engaging, authentic, collaborative and flexible. The common barriers for using TEL were identified as fear, time, organisational culture, knowledge and technical/support issues, along with the perceived pitfalls of distraction, and superficial student learning. Solutions offered for TEL in the future from staff focused on the institution and a desire for strategic, pedagogical and holistic approaches, while students focussed on the accessibility, flexibility and collaborative potential of TEL. This cross-discipline pre-COVID-19 study of TEL perceptions offered by teachers and students has contributed to knowledge in this area by identifying barriers and solutions for TEL common to all disciplines that have the potential to be applied to whole of institution strategic approaches for the more effective use of TEL in teaching and learning in higher education. Student accessibility to TEL and the development of pedagogically sound digital learning resources bringing together educational developers and discipline experts are of particular relevance during and post-COVID-19.

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