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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.
Pemanfaatan Learning Analytics dalam Pembelajaran Digital: Peluang dan Permasalahan dalam Praktik Pendidikan Annisa Putri
Jurnal Ilmu Sosial, Ekonomi dan Pendidikan Vol. 2 No. 2 (2026): April 2026
Publisher : Suria Academic Press

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aims to analyze the opportunities and challenges of utilizing learning analytics in digital learning environments. The research employed a systematic literature review of 30 scholarly articles published between 2015 and 2025, retrieved from reputable academic databases. Data were analyzed using thematic analysis to identify key patterns, trends, and issues in the implementation of learning analytics. The findings reveal that learning analytics has significant potential to enhance learning quality through predictive functions, personalized learning, and improved student engagement. However, its implementation faces critical challenges, particularly related to ethical concerns, data privacy, limited data literacy, and insufficient integration with pedagogical approaches. The study also highlights the dominance of a technocentric perspective, which often overlooks the humanistic dimensions of education. As a contribution, this study proposes the Integrative Learning Analytics Pedagogical-Based Model (ILAP), which integrates technological, pedagogical, and ethical dimensions into a holistic framework. The implications emphasize the need to strengthen educators’ data literacy, develop robust data governance policies, and promote context-sensitive and sustainable implementation of learning analytics.
Pemanfaatan Learning Analytics dalam Pembelajaran Digital: Peluang dan Permasalahan dalam Praktik Pendidikan Annisa Putri
Jurnal Ilmu Sosial, Ekonomi dan Pendidikan Vol. 2 No. 2 (2026): April 2026
Publisher : Suria Academic Press

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aims to analyze the opportunities and challenges of utilizing learning analytics in digital learning environments. The research employed a systematic literature review of 30 scholarly articles published between 2015 and 2025, retrieved from reputable academic databases. Data were analyzed using thematic analysis to identify key patterns, trends, and issues in the implementation of learning analytics. The findings reveal that learning analytics has significant potential to enhance learning quality through predictive functions, personalized learning, and improved student engagement. However, its implementation faces critical challenges, particularly related to ethical concerns, data privacy, limited data literacy, and insufficient integration with pedagogical approaches. The study also highlights the dominance of a technocentric perspective, which often overlooks the humanistic dimensions of education. As a contribution, this study proposes the Integrative Learning Analytics Pedagogical-Based Model (ILAP), which integrates technological, pedagogical, and ethical dimensions into a holistic framework. The implications emphasize the need to strengthen educators’ data literacy, develop robust data governance policies, and promote context-sensitive and sustainable implementation of learning analytics.