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All Journal Omiyage: Jurnal Bahasa dan Pembelajaran Bahasa Jepang Jurnal Ilmu Sosial, Ekonomi, dan Pendidikan Jurnal Ilmu Sosial, Ekonomi dan Pendidikan
Annisa Putri
Universitas Negeri Padang
Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Social Sciences Other

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Analisis Gaya Bahasa Metafora Pada Lirik Lagu Karya LiSA Annisa Putri; Meira Anggia Putri
Omiyage : Jurnal Bahasa dan Pembelajaran Bahasa Jepang Vol 4, No 1 (2021)
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/omg.v4i1.225

Abstract

Song is a literary work that is enjoyed by all people, from young people to adults. In the song lyrics, there are many language styles, especially metaphorical styles. Metaphorical language style is an implicit comparative language style. One of the functions of using metaphors in writing song lyrics is to add beauty to the lyrics. Japanese songs are one of the most popular songs by Japanese students or learners, anime enthusiasts and the general public. LiSA is one of the popular Japanese singers whose songs are widely enjoyed. In this study, researchers analyzed the metaphorical language style of LiSA's song lyrics. This study aims to determine the types and meanings of metaphors in LiSA's song lyrics. This type of research is qualitative research with descriptive methods. The data in this study are in the form of phrases containing metaphors in the lyrics of LiSA's songs. The source of the data taken is the lyrics of a song by LiSA which is an anime soundtrack consisting of 8 songs including Adamas, Catch the Moment, Datte Atashi no Hero, Gurenge, Rally Go Round, Rising Hope, Shirushi, and Unlasting. This study uses the theory of Stephen Ullmann. Based on the results of the study, there were 4 types of metaphors, namely anthropomorphic metaphors with 9 data, synesthetic metaphors with 9 data, abstract metaphors with 22 data, and animal metaphors with 2 data. Besides that, there are different meanings in each metaphorical expression.
Learning Analytics dalam Pembelajaran Digital: Kajian Konseptual tentang Peluang, Tantangan, dan Arah Implementasi Annisa Putri
Jurnal Ilmu Sosial, Ekonomi dan Pendidikan Vol. 1 No. 4 (2026): April 2026
Publisher : Suria Academic Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.67467/jisep.v1i4.113

Abstract

The rapid growth of digital learning environments has generated large volumes of learner data from various online learning activities. This development has accelerated the adoption of Learning Analytics as a data-driven approach to support more informed and evidence-based pedagogical decision-making. Despite its increasing implementation across educational settings, Learning Analytics continues to face significant challenges related to technology, ethics, data governance, and human resource readiness. This article aims to provide a conceptual analysis of the opportunities, challenges, and future directions of Learning Analytics implementation in digital learning. The study employs a conceptual research approach by critically analyzing and synthesizing theories and previous scholarly works relevant to Learning Analytics. The analysis involves identifying key concepts, organizing major themes, comparing different perspectives, and developing an integrated conceptual framework. The findings indicate that Learning Analytics plays a strategic role in promoting personalized learning, adaptive learning, early warning systems, continuous assessment, and evidence-based educational decision-making. However, its implementation is constrained by issues such as data privacy, information security, algorithmic bias, educators' data literacy, technological infrastructure, and institutional governance. As a conceptual contribution, this article proposes an implementation framework that integrates learning data sources, analytical processes, pedagogical decision-making, and ethical data governance to support adaptive, sustainable, and learner-centered digital education.
Learning Analytics dalam Pembelajaran Digital: Kajian Konseptual tentang Peluang, Tantangan, dan Arah Implementasi Annisa Putri
Jurnal Ilmu Sosial, Ekonomi dan Pendidikan Vol. 1 No. 4 (2026): April 2026
Publisher : Suria Academic Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.67467/jisep.v1i4.113

Abstract

The rapid growth of digital learning environments has generated large volumes of learner data from various online learning activities. This development has accelerated the adoption of Learning Analytics as a data-driven approach to support more informed and evidence-based pedagogical decision-making. Despite its increasing implementation across educational settings, Learning Analytics continues to face significant challenges related to technology, ethics, data governance, and human resource readiness. This article aims to provide a conceptual analysis of the opportunities, challenges, and future directions of Learning Analytics implementation in digital learning. The study employs a conceptual research approach by critically analyzing and synthesizing theories and previous scholarly works relevant to Learning Analytics. The analysis involves identifying key concepts, organizing major themes, comparing different perspectives, and developing an integrated conceptual framework. The findings indicate that Learning Analytics plays a strategic role in promoting personalized learning, adaptive learning, early warning systems, continuous assessment, and evidence-based educational decision-making. However, its implementation is constrained by issues such as data privacy, information security, algorithmic bias, educators' data literacy, technological infrastructure, and institutional governance. As a conceptual contribution, this article proposes an implementation framework that integrates learning data sources, analytical processes, pedagogical decision-making, and ethical data governance to support adaptive, sustainable, and learner-centered digital education.
Co-Authors Putri, Meira Anggia