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Efforts to Train Public Speaking in Elementary Schools and Teacher Strategies in Building Smart Communicators Yanto, Masti; Rizqiyah, Nailatur; Sa'i, Mad
SANISKALA : Jurnal Pengabdian Masyarakat Vol. 2 No. 2 (2024)
Publisher : FKIP Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/jsk.v2i2.13432

Abstract

Public speaking is one of the skills that needs to be developed early on to build effective communication skills. The ability to speak in public is one of the soft skills that is needed in everyday life and the professional world. However, many students in elementary school still experience difficulties in public speaking. Therefore, this article aims to examine the strategies used by teachers in elementary schools in training public speaking to students. This research uses literature (library research) which is descriptive analysis. The procedure for obtaining data is done through document analysis. Document analysis is done by studying literature in the form of books and journal articles related to the material discussed in this article. The results show that strategies such as activity-based learning, the use of visual media, and the provision of positive feedback consistently improve students' confidence and speaking ability. This article concludes that practicing public speaking from an early age can help shape a generation that is smart, confident and able to communicate effectively.
Personalisasi Pendidikan Berbasis AI dalam Meningkatkan Kualitas Belajar Siswa Yanto, Masti; Mad Sa’I; Nailatur Rizqiyah
Entita: Jurnal Pendidikan Ilmu Pengetahuan Sosial dan Ilmu-Ilmu Sosial Special Edition: Renaisans 1st International Conference of Social Studies
Publisher : IAIN Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19105/ejpis.v1i.19116

Abstract

The development of artificial intelligence (AI) technology has opened up new opportunities in education, one of which is through the implementation of personalized learning. This study aims to investigate the impact of using AI in personalizing education on improving the quality of student learning in schools. The research method used a qualitative approach with a descriptive design. The results show that the application of AI in personalized learning can significantly improve student learning outcomes, with an average increase of 15% compared to conventional methods. In addition, students’ learning motivation also increased by 20%, as learning becomes more relevant, interactive, and tailored to individual needs. However, this study also found some challenges, such as gaps in technology access, data privacy concerns, and the need for training for teachers to maximize the potential of AI. Overall, this research shows that personalization-based AI has great potential to revolutionize the education system by creating a more inclusive and effective learning environment. The implications of this research can be used as a basis for the development of future technology-oriented education policies.