Ganjil 2024/2025

Mata kuliah Pendidikan Inklusi membahas konsep dan prinsip-prinsip Pendidikan Inklusi, serta konsep Anak Berkebutuhan Khusus (ABK) dan praktik pelaksanaannya.

This course aims to facilitate students in developing professional competencies through experiential learning by analyzing problems using inferential statistics as a foundation, supported by Python/R for data processing to aid decision-making. The supporting materials include fundamental statistical theory, set theory & statistical probability, theoretical probability distributions, binomial distribution, Poisson distribution, normal probability distribution, sampling and sampling distributions, statistical estimation, hypothesis testing, and data processing using Python/R.

The learning strategy and informatics education course examines the principles and foundational assumptions of instructional design, innovative learning strategies, the concept of competency-based learning, the identification of instructional design needs, the formulation of general and specific learning objectives, innovative approaches, models, and learning strategies, the analysis of learning outcomes assessment, and the design of innovative instruction. The goal of this course is to enable students to analyze innovative instructional designs with components such as HOTs, TPACK, and 4C. The course employs a Project-Based Learning (PjBL) model using lectures, presentations, group discussions, and observations as methods. Evaluation for this course consists of assessments based on student activity, task completion, a problem-based midterm exam, and a project-based final exam.