This course aims to facilitate students to learn about the learning assessment system that is carried out during non-formal learning. Lectures are carried out by providing materials, assignments and final semester assignments as well as practice. The learning indicator is if students are able to develop learning assessment guidelines and apply them to their teaching practice
Program Objectives (PO)
Mahasiswa mampu medeskripsikan pengertian penilaian, prinsip-prinsip, karakteristik, berbagai teknik dan peran penilaian
Mahasiswa mampu merencanakan tes
Mahasiswa mampu mendeskripsikan pengertian tes, pengukuran, kegunaan tes dan etika tes
Mahasiswa mampu mengidentifikasi berbagai tipe penilaian
Mahasiswa mampu melaksanakan pelaporan hasil belajar
Aktifitas Pembelajaran
Pertemuan 1
Medeskripsikan pengertian penilaian, prinsip-prinsip, karakteristik, berbagai teknik dan peran penilaian
Pertemuan 2
Medeskripsikan pengertian penilaian, prinsip-prinsip, karakteristik, berbagai teknik dan peran penilaian
Pertemuan 3
Medeskripsikan pengertian penilaian, prinsip-prinsip, karakteristik, berbagai teknik dan peran penilaian
Pertemuan 4
Medeskripsikan pengertian penilaian, prinsip-prinsip, karakteristik, berbagai teknik dan peran penilaian
Pertemuan 5
Merencanakan tes. Perencanaan tes: a. Aspek-aspek perencanaan tes b. Penulisan kisi-kisi soal
Pertemuan 6
Merencanakan tes. Perencanaan tes: a. Aspek-aspek perencanaan tes b. Penulisan kisi-kisi soal
Pertemuan 7
Merencanakan tes. Perencanaan tes: a. Aspek-aspek perencanaan tes b. Penulisan kisi-kisi soal
Pertemuan 8
Pengertian tes, pengukuran, kegunaan tes dan etika tes
Pertemuan 9
Pengertian tes, pengukuran, kegunaan tes dan etika tes
Phytohormones is a science that studies problems related to plant hormones that support optimal plant growth. Included in this study material are the types, structure,
Study of the meaning, types/classifications, functions, basics of media development, media principles, and being able to select, design, and produce learning media by utilizing the
The Statistics course presents discussions on descriptive statistics, data distribution, middle measures, probability distributions and their properties, binomial distribution, poison distribution, hypergonic distribution, normal distribution,