ABSTRACT
In order to improve the quality of youth in entrepreneurship. Schools managements need to know the entrepreneurial intention (EI) of their students. A past study systematic review findings showed that EI measurement has to be improved. To the best ability, this is the contribution of this study and a novel strategy that may pave the way for further research in this area in the future. Thereupon, this study aims for scale development specially for youth in vocational school context and determine the dimensionality of items measuring the EI construct. This study also conducted bibliometric analysis. Research tools used were SPSS version 24 and VOS viewer. The validation used Modified Delphi Method for content and face validity with seven panelists, meanwhile Exploratory Factor Analysis (EFA) for construct validity was administered to 100 students in 23 vocational high schools (VHS), using questionnaires. The initial items were analyzed using Fleiss Kappa Index (FKI) and Content Validity Index (CVI) that consist of I-CVI and S-CVI. However, the I-CVI achieved the criteria, S-CVI is 0.898, and FKI is 0.432, then processed to the EFA procedure. The EFA identified four sub-constructs of EI with 73.729% of the total variance explained (TVE) in this study. The study found that the instrument is valid and reliable in measuring the values aspect of EI. The study’s findings could be of interest to the governments, schools managements, and other researchers. It will enable those parties to analyze which factorsare needed to enhance the quality and successful youth in entrepreneurship post-covid-19. © 2022, SRAC - Romanian Society for Quality. All rights reserved.
ABSTRACT
More than a decade has passed since internationally recognized universities and colleges began using online teaching and learning methods to fulfill the needs of students who reside a long distance away from their places of higher education. Internet teaching and learning proved to be a lifesaver for many educational institutions and students during the COVID-19 outbreak in 2014. Students from universities and colleges around the country are participating in a poll to determine the success of online teaching and learning. An online survey will be conducted, and the findings will be made available to the community. It was decided to do this by developing a questionnaire circulated among college and university students. Approximately 500 students from various universities, engineering schools, and medical institutions participated in and submitted the survey results. In a study, it was discovered that the use of animation, digital collaboration with peers, video lectures by subject-matter experts, multiple-choice questions in online quizzes, student version software, a conducive learning environment at home, interactions by professors during lessons, and online materials provided by faculty could all help to improve online learning. Since they may all view PowerPoint presentations in front of them at any volume level, they wish while in an internet-based classroom, students no longer have to walk or drive to class when in an internet-based classroom. Copyright © 2022, Anka Publishers. All rights reserved.
ABSTRACT
This research presents a study on the existence of chaotic behaviour in COVID-19 time series data using the Largest Lyapunov Exponent (LLE) and forecasts the outcome of the new daily cases of infected people until 2023 by chaos indicators tools, Logistic Map. The study also chooses another mathematical model, Linear Regression, to verify the accuracy of the Logistic Map by comparing both methods. The comparison between these methods is analyzed by using Mean Square Error (MSE). The data was collected from the end of January until early December 2020 involving Malaysia, China, Singapore, the USA and Italy. The result shows the countries tested have the existence of chaotic behaviour. Meanwhile, forecasting depicts some countries whose cases are declining and some are increasing. © 2022 Author(s).
ABSTRACT
This study aims to forecast the new number of positive cases of COVID-19 using the logistic map, where the presence of chaos is determined using the 0-1 Test. There are a small number of investigations on chaos utilizing the 0-1 Test and logistic map in the literature. This study provides a straightforward technique of forecasting and a current way of determining chaos. Information on new confirmed COVID-19 cases and population of ten countries involving China, Vietnam, Korea, Malaysia, Singapore, New Zealand, India, USA, Brazil, and Mexico for six months from January 20 to June 15, 2020, are selected as samples. The logistic map runs through three stages: data training, forecasting, and validation using the Mean Absolute Error method (MAE). The data training procedure is critical for determining the best growth rate r, for the logistic map. In chaotic investigations of the 0-1 Test, there appears to be an inverse expectation toward a logistic map. The 0-1 Test in the data of new confirmed COVID-19 cases in all the selected countries reveals the presence of non-chaotic. This contrasts with the existence of chaos in the logistic map forecasts for the USA, Brazil, and Mexico. Regardless, the logistic map was found to be capable of forecasting new COVID-19 positive cases with low error instances. Beginning in the middle of May 2020, new COVID-19 positive cases are forecasted to be on the rise in the USA, Brazil, and Mexico. © 2022, Research Center of Inorganic Materials and Coordination Complexes, FMIPA Universitas Sriwijaya. All rights reserved.
ABSTRACT
This paper presents an ongoing doctoral study exploring the entrepreneurial intention of pilot public vocational high school students in entrepreneurship development programs in Jakarta, Indonesia. This paper is a preliminary study that employed two methods of data collection, namely questionnaires and interviews. The method allows for triangulation of the data and to establish the reliability and validity of data. Due the Covid-19 pandemic, this study was conducted online to garner information from the participants. The discussion in this paper focuses on the data derived from a questionnaire. Using a purposive sampling method, open-ended questions were posed to 111 students and 60 alumni. Interviews were also conducted with three students using open-ended questions. Data were analyzed inductively by using thematic analysis. The five stages of Creswell's qualitative data analysis were used: Arranging and preparing data;reading all data;coding the data;connecting the themes;and interpreting the meaning of those themes. The various themes and sub-themes from the questionnaires and interviews have identified several sub-themes. The findings of the study may be of interest to governments, schools, and researchers. The results will enable those parties to determine the entrepreneurial intention needed to prevent and reduce unemployment among vocational high school graduates. © 2021 Society for Research and Knowledge Management. All rights reserved.