Shabrina, Masyitha Nur
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Mapping Literature and Research Trends on AI Applications in Journalism: A Bibliometric Review Shabrina, Masyitha Nur; Muttaqin, Nabil; Purwodani, Dio Lingga
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 15 No 01 (2025): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v15i01.1467

Abstract

An emerging field of interdisciplinary research that needs more focus is the application of AI in journalism. The bibliometric analysis of the most recent research on implementation in digital journalism is presented in this paper. From Scopus, publications from 2014 to 2023 were examined to determine subjects, performance, impact, and collaborations. The findings indicate a rise in yearly production, with over 88 publications released in 2023 attesting to heightened research activity. Additionally, more recent publications had a more significant citation effect, demonstrating their relevance today. The majority of the prolific writers are from America, China, and Spain. International collaborations are centered around the West, between the United States and China, and the United States and Korea. This offers a standard that will guide future research in this enormously promising field. For AI to be implemented in digital journalism in a responsible manner, under-represented groups must be more involved.
The “Instructional Design 101” Course: Development of a Commercial Online Course with Microlearning Approach Shabrina, Masyitha Nur; Hardika, Hardika; Dio Lingga; Muttaqin, Nabil
Jurnal Pendidikan Terbuka Dan Jarak Jauh Vol. 25 No. 2 (2024)
Publisher : LPPM Universitas Terbuka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33830/ptjj.v25i2.9616.2024

Abstract

In light of the burgeoning advancement of digital technologies and the subsequent rise of online courses, this study seeks to explore the commercial potential of an online course titled "Introduction to Instructional Design." This course leverages the innovative approach of microlearning, breaking down complex concepts into manageable modules. Given the growing demand for digital learning tools, the commercial viability of such a course is becoming increasingly significant, thereby presenting a promising avenue for educators, institutions, and course developers. The study employed the ADDIE model for course creation, which entails Analysis, Design, Development, Implementation, and Evaluation. This approach ensures a comprehensive analysis of the learner's needs and course objectives. The developed course comprises a curriculum of 10 modules, each containing six submodules, alongside video and text-based learning materials. Expert review yielded a weighted mean of 3.42, denoting the course as 'effective.' The findings underline the relevance and potential profitability of such a course in the current digital learning landscape.