No abstract

The dynamics of technological progress in various fields indirectly affect the world of education. One of the indications can be seen in the use of media as a learning tool. This study aims; 1) to investigate the effectiveness of the packet tracer learning media application, 2) to investigate the responses of the students to such applications, 3) to determine the appropriate media used in a learning process. The research is carried out in the subject of Computer Design Networking. The evaluation research is employed by using a mixed method of qualitative and quantitative approach. The quantitative analysis involved 58 students, while the qualitative analysis involved one productive teacher, one curriculum representative, and four students. Data are analysed by using quantitative and qualitative data analysis techniques. The results show that, the effectiveness of learning media with packet tracer is high i.e., 82.76%, which covers three aspects; software engineering, learning aspects, and display aspects. This means that this packet tracer learning media can be applied as a solution to the limitation of facilities and infrastructures of network practices by considering certain learning situations and conditions. The results indicate that this application is very useful to deal with the high cost of practising tools. It makes the students more enthusiastic and motivated during the learning process. Hence, by implementing this learning method, the interaction and the learning outcomes of the student can be increased.

The high unemployment rate of engineering graduate students in higher education contributes to the increasing need for employment and the high number of job seekers in the era of the industrial revolution 4.0. Need solutions from this case, especially how engineering students in higher education provide alternative applied solutions that can be implemented. Entrepreneurship technology training is an alternative solution for engineering students in higher education. This study aims to design a model of production-based entrepreneurship technology training to improve the skills of engineering students in higher education. To produce a production-based entrepreneurship technology training model, four stages of development research are carried out: 1) Define; 2) Design; 3) Develop; and 4) Disseminate. This paper is limited to, the design stage of a production-based entrepreneurship technology training model. A sample of 550 students took entrepreneurship technology courses in higher education in Padang, Indonesia. Data collection instruments in the form of questionnaires and Focus Group Discussions. The results of this preliminary study are the framework of a production-based entrepreneurship technology training model consisting of five phases, namely, phase 1) Analysis of Entrepreneurial Material and Consumer Needs; phase 2) PIKEN: Evaluation of Student Entrepreneurship Competencies; phase 3) Designing a Business Start Up; phase 4) Formulation of Production-Based Business Plan; phase 5) Online Store Collaboration and Evaluation. This production-based entrepreneurship training model is expected to help reduce the unemployment rate of tertiary education graduates, especially vocational education graduates and students can survive with their entrepreneurial competencies

This research was conducted because the students' self-efficacy in entrepreneurship is still low. Production-based entrepreneurship training model, learning readiness is assumed to be a factor that affects student entrepreneurship self-efficacy. The purpose of this study was to examine the contribution of the production-based entrepreneurship training model, learning readiness, and locus of control to student entrepreneurship self-efficacy. This study uses quantitative methods with multiple regression. The population is all students who take the general course of entrepreneurship in Higher Education as many as 500 people, and a sample of 200 students who are selected using proportional stratified random sampling. The questionnaire stands as an effective data collection method to examine the variables to be measured and the answers expected by the respondents. The questionnaire applied the Likert scale by providing opportunities to answer each item. Data were analyzed using multiple regression. The research findings show that there is a joint contribution of the production-based entrepreneurship training model, learning readiness, and locus of control to the entrepreneurial self-efficacy of students

This study was motivated by entrepreneurship learning outcomes in engineering education that could not have a significant positive impact on students' interest in entrepreneurship. Currently, entrepreneurship learning is boring, predictable, and has not provided a good learning experience. This study described and tested the contribution of production-based learning, student engagement, and locus of control to entrepreneurship learning outcomes. This research used a quantitative method. The population was all students who take the entrepreneurship course in engineering education for 2,600 people, and the sample is 307 students. The research instruments used a reliable and valid Likert scale and the test for assessing entrepreneurship learning outcomes. Data were analyzed using parametric statistics. The results obtained from this research; there is the contribution of production-based learning, student engagement, and locus of control to the entrepreneurship learning outcome. Production-based learning provides an opportunity for students to be directly involved in a collaborative learning process. Besides, the raising of internal locus of control, for the level of confidence of students in the learning process, has a good impact on the entrepreneurship learning outcome students. The process of learning entrepreneurship by applying production-based learning also becomes more meaningful. It gives an influence on external locus of control, such as job opportunities and readiness in the community to be well open. Thus, it also automatically contributes to the improvement of the quality of graduates in engineering education.