Course Assessment of Learning Processes and Outcomes
Program Studi S1 Pendidikan Ilmu Pengetahuan Alam UNESA
Course Description
This course is a student activity which includes: developing and implementing the concepts of measurement, assessment, evaluation, test validity and test reliability in science learning, as well as designing learning assessment instruments in the science context by utilizing ICT.
This course studies advanced machine learning methodologies with a focus on approaches from deep learning models. Topics discussed include: history and motivation for the development
Studying the nature, objectives, types of research methods that are relevant to educational research and equipping students to be able to make decisions in applying
This lecture discusses Behavioral Views of Learning: What Behavioral Learning Theories Have Evolved? What Are Some Principles of Behavioral Learning? How Has Social Learning Theory