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All Journal Journal of Educational Research and Evaluation Indonesian Journal of Electrical Engineering and Computer Science Bulletin of Pedagogical Research
Listyaningrum, Prabandari
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Development of an Integrated Electric Vehicle Learning Simulator (EVLIS) with Industry-Based Learning to Accelerate Work Readiness of Vocational School Students Sudarsono, Bambang; Arief Ghozali, Fanani; Tentama, Fatwa; Asti Mulasari, Surahma; Wahyuni Sukesi, Tri; Sulistyawati, Sulistyawati; Yuliansyah, Herman; Nafiati, Lu'lu'; Listyaningrum, Prabandari; Pratama, Wegig; R. Hafid Hardyanto, Settings; Rahmawati, Rahmawati
Bulletin of Pedagogical Research Vol. 4 No. 1 (2024): Bulletin of Pedagogical Research
Publisher : CV. Creative Tugu Pena

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51278/bpr.v4i1.1029

Abstract

Technological developments in this modern era require changes in educational approaches to ensure that students have skills that are relevant to the needs of industry, especially electric vehicles. The research aims to develop an industrial integrated electric vehicle learning tool and test its feasibility. This research design adopts Richey and Klein's research and development (R&D) stages with development and internal validation stages. The research objects were carried out at four vocational schools in the Special Region of Yogyakarta and the Automotive Jogjakarta Center (OJC) with research subjects being teachers, experts and industrial practitioners. The resulting research is the competency aspects needed by the electric vehicle industry and the design of electric vehicle learning aids/Electric Vehicle Learning Simulator (EVLIS) that are feasible and ready to be made into product prototypes. EVLIS can help improve the attitude competency, knowledge and skills of electric vehicle technology for vocational school students. Not only that, the development of EVLIS involving the electric vehicle industry can strengthen collaboration/partnership between the industrial world and vocational schools. Keywords: Electric Vehicle Learning Simulator (EVLIS), Industry Based Learning, Work Readiness, Vocational High Schools (SMK)
Digital learning using ChatGPT in elementary school mathematics learning: a systematic literature review Listyaningrum, Prabandari; Retnawati, Heri; Harun, Harun; Ibda, Hamidulloh
Indonesian Journal of Electrical Engineering and Computer Science Vol 36, No 3: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v36.i3.pp1701-1710

Abstract

Digital learning with ChatGPT in elementary school mathematics learning is urgently implemented. Several studies have explored digital learning with ChatGPT in elementary school mathematics learning, but studies using SLR are minimal. This article presents the 2022-2024 SLR study on digital learning with ChatGPT in elementary school mathematics learning. This SLR and PRISMA method is supported by Publish or Perish 8, VOSviewer version 1.6.20, Mendeley version 1.19.8, and ATLAS.ti version 7.5.16. The search results obtained 1,259 Scopus articles, which were filtered to 40 and analyzed using ATLAS.ti, then the results were described according to the research question. Digital learning with ChatGPT is a learning approach using the synchronous-asynchronous mode, virtual classrooms, distance, use of interactive digital tools, digital methods and media, innovation, digital modeling, use of robotics and AI ChatGPT for children with the principle of collaboration digital, and problem-solving with the support of digital resources. ChatGPT features multilingual, natural language, advanced AI, 24/7 availability, answering math questions, recurring training, and helping students with various math tasks. Implementation of digital learning with ChatGPT in elementary school mathematics learning for problem-solving, geometry, function limits in algebra, the material on flat shapes, geometric shapes, integrated PjBL, online, mixed and flipped classes.
Industry-Oriented Experiential Learning Model to Enhance Vocational High School Students' Job Readiness Sudarsono, Bambang; Tentama, Fatwa; Ghozali, Fanani Arief; Listyaningrum, Prabandari
Journal of Education Reseach and Evaluation Vol 7 No 3 (2023): August
Publisher : LPPM Undiksha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jere.v7i3.54224

Abstract

The highest unemployment rate in Indonesia is still dominated by SMK graduates. Unemployment occurs because the work readiness of SMK students is low. This study aims to develop an industrial-oriented experiential learning model and test its effectiveness. This study used a research and development (R&D) design from Richey and Klein. The research stages include the stages of needs analysis, internal validation and external validation. The research subjects used were teachers, students majoring in automotive engineering at SMK Muhammadiyah 1 Salam and automotive industry practitioners, totaling 44 people. Data collection techniques used were interviews, questionnaires and performance tests. Researchers analyzed descriptively to produce conclusions from the feasibility of questionnaires and learning models. After being analyzed, the results of the questionnaire and practical performance tests were categorized to produce conclusions for each instrument. The result of the study show that industrial-oriented experiential learning model is very suitable to be applied to vocational learning. Vocational schools can broadly collaborate with industry, teachers and students gain knowledge and skills according to the needs of the world of work and motivation arises to make industrial replicas of learning infrastructure.
Co-Authors Arief Ghozali, Fanani Asti Mulasari, Surahma Bambang Sudarsono Fatwa Tentama Ghozali, Fanani Arief Harun Harun Heri Retnawati Herman Yuliansyah, Herman Ibda, Hamidulloh Nafiati, Lu'lu' Pratama, Wegig R. Hafid Hardyanto, Settings Rahmawati, Rahmawati Sulistyawati Sulistyawati Wahyuni Sukesi, Tri