Abstract:An apparently interminable scope of techniques and methodologies has developed to misuse the capability of innovation. The issue has not been a shortage of research. Actually a great many examinations identified with computer and learning has been distributed amid the recent decades. The issue has been one of comprehending the tremendous, and developing, group of accessible research. There is developing enthusiasm for utilizing the ability of new innovation in a productive and successful approach to meet the i… Show more
“…This course should be practically done on a project-based to construct students' abilities in doing the entrepreneurial process (Ganefri et al, 2018). The combination of learning abilities is a joint effort with industry, in vocational education in tertiary institutions that collaboration can help efforts to improve students' practical competence, especially in dealing with problems in information technology developments (Ghareb et al, 2019;Gunung & Darma, 2019). Thus, recommendations for improving the process need to consider the ways to improve practical skills and student involvement in entrepreneurship, especially businesses related to meeting the needs in the Covid-19 pandemic situation.…”
This research was conducted to present recommendations on the implementation of e-learning courses Entrepreneurship during the Covid-19 pandemic. The evaluation refers to model Kirkpatrick's with Level 1: Satisfaction, Level 2: Learning, Level 3: Behavior, and Level 4: Impact. The research used a quantitative method with data analysis using percentage techniques. The sample was 307 students who had attended Entrepreneurship courses using e-learning. Data were collected using a questionnaire distributed via Google form. The results show that the evaluation level 1: student satisfaction in learning, on average of 67% and 33% of the other feeling dissatisfied and less able to accept entrepreneurship learning optimally. Level 2 evaluation: learning outcomes, data cognitive, affective, and psychomotor have an average improvement. Evaluation level 3: there was an average improvement of only 18 points on entrepreneurial behavior. Evaluation level 4: 53% of students respond that e-learning is suitable for sustainable use, 59% give the opinion that e-learning is effective in increasing the ability to be an entrepreneurial, and 52% undertake entrepreneurial activities after participating in e-learning. The recommendation of this study's results is to continue learning by using e-learning by paying attention to process factors and combining it with learning, which refers more to implementing entrepreneurial projects to improve psychomotor competence and entrepreneurial behavior in the future.
“…This course should be practically done on a project-based to construct students' abilities in doing the entrepreneurial process (Ganefri et al, 2018). The combination of learning abilities is a joint effort with industry, in vocational education in tertiary institutions that collaboration can help efforts to improve students' practical competence, especially in dealing with problems in information technology developments (Ghareb et al, 2019;Gunung & Darma, 2019). Thus, recommendations for improving the process need to consider the ways to improve practical skills and student involvement in entrepreneurship, especially businesses related to meeting the needs in the Covid-19 pandemic situation.…”
This research was conducted to present recommendations on the implementation of e-learning courses Entrepreneurship during the Covid-19 pandemic. The evaluation refers to model Kirkpatrick's with Level 1: Satisfaction, Level 2: Learning, Level 3: Behavior, and Level 4: Impact. The research used a quantitative method with data analysis using percentage techniques. The sample was 307 students who had attended Entrepreneurship courses using e-learning. Data were collected using a questionnaire distributed via Google form. The results show that the evaluation level 1: student satisfaction in learning, on average of 67% and 33% of the other feeling dissatisfied and less able to accept entrepreneurship learning optimally. Level 2 evaluation: learning outcomes, data cognitive, affective, and psychomotor have an average improvement. Evaluation level 3: there was an average improvement of only 18 points on entrepreneurial behavior. Evaluation level 4: 53% of students respond that e-learning is suitable for sustainable use, 59% give the opinion that e-learning is effective in increasing the ability to be an entrepreneurial, and 52% undertake entrepreneurial activities after participating in e-learning. The recommendation of this study's results is to continue learning by using e-learning by paying attention to process factors and combining it with learning, which refers more to implementing entrepreneurial projects to improve psychomotor competence and entrepreneurial behavior in the future.
“…Kombinasi kemampuan dalam pembelajaran merupakan upaya bersama dengan industri, pada pendidikan vokasi di perguruan tinggi kolabirasi dapat membantu usaha meningkatkan kompetensi praktis mahasiswa terutama dalam menangani masalah perkembangan teknologi informasi [16]. Untuk itu rekomendasi dalam meningkatkan proses belajar melalui e learning perlu mempertimbangkan cara meningkatkan kemampuan praktis dan keterlibatan mahasiswa dalam berwirausaha khususnya usaha yang terkait dengan pemenuhan kebutuhan dalam COVID 19.…”
Section: Gambar 4 Peningkatan Kemampuan Psikomotor Kewirausahaan Deng...unclassified
This study aims to identify the effectiveness of entrepreneurship learning using website media in e learning conducted at Universitas Negeri Padang during the COVID 19 pandemic. The research methodology uses a quantitative approach, evaluation is carried out on 307 samples who are students who have participated in Entrepreneurship learning using e learning. during the COVID 19 pandemic, research is an evaluation type research to present recommendations for implementing learning programs. The research instrument used a set of questions about cognitive, affective and psychomotor abilities to adjust the Entrepreneurship learning curriculum at Universitas Negeri Padang. The data analysis used the percentage technique and the calculation of the difference in score values. The results showed that cognitive, affective and psychomotor have an average increase, but students have the final knowledge achievement at a score of 72 (cognitive), 79 (affective) and 74 (psychomotor), which means that the final learning outcomes of students have not reached value limit categorized as good at an average score of> 80. Thus the recommendation for the results of this evaluation is that it is necessary to improve the performance of the e learning learning program to achieve better learning outcomes through educational factors which include the quality of educators, media and increased student learning motivation.
“…The development of science and technology at this time requires humans to prepare quality human resources to keep up with every new development and field change that is happening [1][29] [30] [31]. Efforts that can be made to prepare quality human resources are to make changes and improvements in education [2][35].…”
This study aims to determine the Project-Based Technopreneurship learning model's validity value in vocational education. The model was tested using validity analysis using the Aiken V formula to determine internal validation criteria based on expert opinion regarding the model's quality based on the learning model elements. External validity analysis was carried out through trials with 30 research samples in applying the model; data analysis using Confirmatory Factor Analysis (CFA) aims to identify the phases' basic constructs to become a valid unified learning model. The research method was quantitative. The internal validity test sample was 7 experts in vocational education who filled out the inner validity assessment instrument. In contrast, for the external validity analysis, the example was 30 people. The instrument used was a Likert scale assessment sheet. The results showed that the V Aiken score for assessing the model's elements and the syntax phases showed an average > 0.600. In contrast, the results of the CFA analysis showed that the KMO score was 0.645> 0.500, which means the feasibility of the data to be analyzed, the MSA score for all phases> 0.600, Total Variance Explained explains the factors formed with eigenvalues of 2,336, with the ability to explain the model as a whole 38.92%.
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