KURNAEDI, DIDI
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Journal : bit-Tech

Collaborative E-Learning Model Development for Increase Quality Learning in Vocational School Kurnaedi, Didi; Widyarto, Setyawan
bit-Tech Vol. 7 No. 2 (2024): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v7i2.1846

Abstract

The creation of a collaborative e-learning model is an urgent need, especially in Tangerang, to improve the quality of education in Vocational High Schools (SMK). Vocational learning requires integration between theory and practice, but traditional e-learning systems have not been able to meet this need. This study aims to develop a personal collaborative e-learning model that combines interactive support-based learning, context-based collaboration, and practice-oriented learning. The research methodology uses the ADDIE modelĀ  with a Research and DevelopmentĀ  approach. The subjects of the study involved 22 teachers and 375 students from various vocational schools in Tangerang. Data collection was carried out through questionnaires, observations, interviews, and test results, with three trial classes for one semester. The results showed that the collaborative e-learning paradigm significantly increased student engagement, learning quality, and learning outcomes. As many as 82% of students felt their learning experience was more meaningful than the previous e-learning method, while 85% of students actively participated in discussion forums and collaboration. The test results showed an average increase in scores of 15%. Teachers also assessed that this strategy supports the development of students' practical skills and facilitates project-based learning. Satisfaction evaluations showed that 80% of students felt more satisfied with the learning experience using this collaborative model. The collaborative e-learning model developed is not only relevant for learning in SMK Tangerang, but also has the potential to improve the standard of vocational education in Indonesia. Training and infrastructure support are needed to ensure the sustainability of the implementation of this model.
The Role of Computers in Collaborative E-Learning: Implications for the Future of Digital Education Kurnaedi, Didi
bit-Tech Vol. 7 No. 3 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v7i3.2277

Abstract

The development of digital technology has driven significant changes in the world of education, especially through the implementation of collaborative e-learning. Computers play a crucial role in supporting interactive online learning processes, enabling more effective collaboration between students, educators, and learning resources. This study aims to analyze the role of computers in collaborative e-learning and its implications for the future of digital education. This study uses a descriptive qualitative method, with data collection techniques through literature studies and interviews with educators and e-learning practitioners. The results of the study show that computers function as facilitators in various aspects of collaborative e-learning, such as online-based communication, accessibility of educational resources, and integration of artificial intelligence and big data in learning personalization. The advantages of computers in increasing interaction and effectiveness of learning in the digital environment are the main factors in optimizing collaborative e-learning. However, this study also found several challenges, such as the gap in access to technological devices, the readiness of educators and students to adopt technology, and data security issues in e-learning systems. To overcome these obstacles, continuous innovation is needed in the development of digital infrastructure and increasing technological competence for e-learning users. With the rapid development of technology, it is predicted that computer-based collaborative e-learning will continue to develop into the main learning model in the future. Therefore, this study is expected to be a reference for policymakers and education practitioners in designing more inclusive and effective digital learning strategies.