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Effectiveness of The Gamified LMS Platform on The Level of Online Course Completion Rujianto Eko Saputro; Wiga Maulana Baihaqi; Sarmini
Southeast Asian Journal on Open and Distance Learning Vol. 1 No. 01 (2023): Strategies for Cultivating Active Learning in Online Environment
Publisher : SEAMEO SEAMOLEC

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Abstract

Gamified Massive Open Online Courses (G-MOOCs) is a Learning Management System (LMS) platform built on the gamification framework (MARC Gamification Framework) that has been proposed in previous studies based on various aspects of game elements, social learning, motivation and interactive theory learning environment (ILE). G-MOOC is a background element that can motivate them when taking courses in online learning. This program is intended to increase the intrinsic motivation of participants in completing their courses. Tests are carried out using the experimental group method using two indicators, namely the level of mastery of the course (performance) and the status of learning courses (Done/Not Done). To produce data from used indicators, researchers gave four weeks to take the course. The courses are compared with the LMS platform which has no gamification element (SIMOOC), the performance indicators are tested in the participant values between the G-MOOCs platform and the SIMOOC platform. Based on the results of the test, the platform is a platform that is better and different compared to the SIMOOC platform. Judging from the status of the participants, out of 71 participants who took the course on the G-MOOC platform there were 46.5% which were declared completed, while on the SIMOOC platform only 7% had completed status. It can be concluded that the G- MOOC platform can increase the effectiveness of the value courses compared to the SIMOOC platform.
Optimalisasi kemampuan menulis akademik melalui teknologi AI: kolaborasi Universiti Teknikal Malaysia Melaka dan Universitas Amikom Purwokerto Sarmini Sarmini; Rujianto Eko Saputro; Fandy Setyo Utomo; R. Vitto Mahendra Putranto; Shendy Filanzi; Febriansyah Husni Adiatma
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 8, No 4 (2024): December
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v8i4.26335

Abstract

Abstrak Kebutuhan untuk meningkatkan kemampuan mahasiswa dalam memanfaatkan teknologi terbaru, khususnya AI, dalam proses penulisan ilmiah semakin penting di era digital. Kegiatan pendampingan penulisan artikel ilmiah menggunakan kecerdasan buatan (AI) diselenggarakan oleh Pusat Studi Media, Game, dan Mobile Universitas Amikom Purwokerto, dengan narasumber Assoc. Prof. Ahmad Naim Che Pee dari Human-Centered Computing and Information Systems Lab (HCC-ISL), UteM dilaksanakan pada tanggal 1 Agustus 2024. Tujuan dari kegiatan ini untuk memberikan pemahaman serta keterampilan praktis bagi mahasiswa dalam penggunaan AI, khususnya Chat GPT, dalam menyusun artikel ilmiah, mulai dari penyusunan struktur, pengecekan tata bahasa, hingga pengelolaan referensi. Metode pelaksanaan kegiatan meliputi pre-test untuk mengukur pemahaman awal mahasiswa, pelatihan yang mencakup teori dan praktik penggunaan AI, post-test untuk menilai peningkatan pemahaman, serta sesi tanya jawab dan evaluasi. Hasil evaluasi menunjukkan peningkatan signifikan dalam pemahaman mahasiswa, yang tercermin dari data hasil post-test yang lebih baik dibandingkan pre-test. Selain itu, mahasiswa menyatakan bahwa pelatihan ini memberikan wawasan baru yang relevan untuk mendukung tugas akademik mereka. Kata kunci: pendampingan; kecerdasan buatan; chat GPT; mahasiswa; penulisan artikel. Abstract Enhancing students' abilities to utilize the latest technology, particularly AI, in scientific writing is becoming increasingly important in the digital era. A scientific article writing mentorship program using Artificial Intelligence (AI) was organized by the Media, Game, and Mobile Research Center at Universitas Amikom Purwokerto, with the guest speaker Assoc. Prof. Ahmad Naim Che Pee from the Human-Centered Computing and Information Systems Lab (HCC-ISL), UTeM, held on August 1, 2024. This activity aimed to provide students with practical understanding and skills in using AI, specifically Chat GPT, in composing scientific articles, from structuring the paper and grammar checking to managing references. The implementation method included a pre-test to measure students' initial understanding, training sessions covering theory and practical use of AI, a post-test to assess improvements, and a Q&A session and evaluation. The evaluation results showed a significant improvement in students' understanding, as reflected in the post-test data, which were better than the pre-test results. Students reported that this training provided new and relevant insights to support their academic tasks. Keywords: mentoring; artificial intelligence; chat GPT; students; article writing.