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Label Nama Murid kelas mengikut kategori

The document discusses differentiation instruction (DI) principles and tools for student profiling. It outlines three keys to DI: knowing your students, content, and approaches. Several student profiling tools are described, including learning modalities, multiple intelligences, Sternberg's triarchic theory, and the Array inventory. The Array uses characters from Winnie the Pooh to represent different learning profiles like Poohs (peace seekers), Rabbits (movers), Tiggers (fun lovers), and Eeyores (contemplators). Understanding individual student profiles through these tools helps teachers customize instruction to meet varied needs.

Soalan kelas tambahan matematik 2015University Malaysia Sabah

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T4 2.1University Malaysia Sabah

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Cadangan rpt fizik f4 2015University Malaysia Sabah

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Chap9University Malaysia Sabah

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This document provides information about momentum and related concepts in physics. It defines momentum as p = mv, where p is momentum, m is mass, and v is velocity. It discusses that momentum is a vector quantity and is conserved during interactions between objects. The document also introduces impulse as the product of force and time (J=Ft), and proves the impulse-momentum theorem. It then explains how to use conservation of linear momentum to solve 1D and 2D collision problems through vector diagrams or component equations. Finally, it introduces angular momentum as dependent on linear momentum and distance from a point.

2024 Trend Updates: What Really Works In SEO & Content MarketingSearch Engine Journal

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The document outlines key SEO and content marketing trends for 2024, emphasizing the impact of AI, the importance of E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness), and a shift towards user-centric content strategies. It advises against focusing on outdated trends like voice search and stresses the need for creating value-driven, authoritative content. Additionally, it highlights the need to leverage AI as a supportive tool rather than relying solely on it for content creation.

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MODUL PEMBELAJARAN DEEP LEARNING PENDIDIKAN PANCASILA KELAS 6 CP 032 REVISI 2...AndiCoc

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Modul Pembelajaran Deep Learning (Pembelajaran Mendalam) Pendidikan Pancasila Kelas 6 Kurikulum Merdeka Revisi CP 032 Tahun 2025/2026 Kelas / Semester : VI (Enam) / I (Ganjil) Tahun Pelajaran : 2025 / 2026 Bab 1 : Belajar Pancasila Menyenangkan Capaian Pembelajaran: Peserta didik menghubungkan sila-sila dalam Pancasila sebagai suatu kesatuan yang utuh, menguraikan makna nilai-nilai Pancasila sebagai dasar negara, pandangan hidup, dan ideologi bangsa dan negara Tujuan Pembelajaran: 1.1 Menjelaskan lima sila dalam Pancasila serta maknanya dalam kehidupan bermasyarakat. 1.2 Menghubungkan setiap sila dengan nilai-nilai kebaikan, seperti gotong royong, keadilan, dan persatuan. 1.3 Mengidentifikasi contoh nyata penerapan Pancasila dalam kehidupan sehari-hari. 1.4 Menganalisis keterkaitan antar nilai dalam Pancasila. 1.5 Melakukan wawancara tentang praktik pengamalan Pancasila dimasyarakat.

MODUL PEMBELAJARAN DEEP LEARNING IPAS KELAS 6 CP 032 REVISI 2025 KURIKULUM ME...AndiCoc

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Modul Pembelajaran Deep Learning (Pembelajaran Mendalam) Ilmu Pengetahuan Alam & Sosial (IPAS) Kelas 6 Kurikulum Merdeka Revisi CP 032 Tahun 2025/2026 Kelas / Semester : VI (Enam) / I (Ganjil) Tahun Pelajaran : 2025 / 2026 Bab 1 : Bagaimana Tubuh Kita Bergerak? Capaian Pembelajaran: Peserta didik memahami sistem organ tubuh manusia yang dikaitkan dengan cara menjaga kesehatan tubuhnya. Tujuan Pembelajaran: 1.1 Menjelaskan komponen utama rangka tubuh manusia serta fungsinya dalam mendukung dan melindungi organ tubuh. 1.2 Mengidentifikasi bagian-bagian utama rangka melalui observasi langsung dan model interaktif. 1.3 Menjelaskan peran sendi dalam pergerakan tubuh serta mengklasifikasikan berbagai jenis sendi berdasarkan bentuk dan fungsinya. 1.4 Mendemonstrasikan bagaimana rangka, sendi dan otot menjalankan fungsinya.

MODUL PEMBELAJARAN DEEP LEARNING SENI RUPA KELAS 6 CP 032 REVISI 2025 KURIKUL...AndiCoc

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MODUL PEMBELAJARAN DEEP LEARNING SENI RUPA KELAS 2 CP 032 REVISI 2025 KURIKULUM MERDEKA.pdf Modul Pembelajaran Deep Learning (Pembelajaran Mendalam) Seni Rupa Kelas 6 Kurikulum Merdeka Revisi CP 032 Tahun 2025/2026 Fase : C Kelas / Semester : VI (Enam) / I (Ganjil) Tahun Pelajaran : 2025 / 2026 Unit 1 : Mengenal Unsur dan Prinsip Seni Rupa Pada Objek di Sekitar Kita Tujuan Pembelajaran: 1.1 Membandingkan penggunaan warna, tekstur, dan gelap terang pada objek di lingkungannya. 1.2 Menyusun warna, tekstur, dan gelap terang dalam ritme atau pola yang ditentukan guru. 1.3 Memodifikasi warna, tektur, dan gelap terang berdasarkan objek yang ada di lingkungan sekitar.

NORMA & KEHIDUPAN | Pendidikan PancasilaNadia Nuraa

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Modul Ajar Matematika Kelas 8 Deep LearningTribuana Edu

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The Effect of Education, Youth NEET, and Unemployment on Labor Force Particip...MuhamadSauqiAlidani

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This paper is submitted as a final project for the Econometrics Introduction course. It analyzes the influence of education (measured by average years of schooling), youth inactivity (NEET), and open unemployment on the labor force participation rate (LFPR) across 34 provinces in Indonesia in 2023 using a multiple linear regression model. The study uses cross-sectional data and satisfies all classical assumption tests. The findings offer policy insights related to education, employment, and youth labor integration.

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Storytelling For The Web: Integrate Storytelling in your Design ProcessChiara Aliotta

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The document outlines a livestream presentation by Chiara Aliotta on integrating storytelling into web design to enhance user experiences. It covers the storytelling process for designers, emphasizing aspects such as understanding the audience, structuring narratives, and creating emotional connections. The presentation also includes case studies and practical examples to demonstrate effective storytelling in UX/UI design.

Artificial Intelligence, Data and Competition – SCHREPEL – June 2024 OECD dis...OECD Directorate for Financial and Enterprise Affairs

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This presentation by Thibault Schrepel, Associate Professor of Law at Vrije Universiteit Amsterdam University, was made during the discussion “Artificial Intelligence, Data and Competition” held at the 143rd meeting of the OECD Competition Committee on 12 June 2024. More papers and presentations on the topic can be found at oe.cd/aicomp. This presentation was uploaded with the author’s consent.

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