인프런 - 라이프타임 커리어 플랫폼

This course delves into the critical issues of bias and fairness in machine learning, focusing on their implications for international development. Learners will explore strategies for the appropriate use of ML to promote equity and social justice.

This course explores the intersection of art and social responsibility, focusing on how intentional disruptions can challenge systems of oppression. Learners will engage with critical issues such as access to resources and the global water crisis through creative practices and pedagogical strategies.

This course examines the impact of new digital technologies on learning across various age groups and contexts. Students will explore educational technology through multiple lenses, enhancing their understanding of its opportunities, limitations, and implications for the future of education.

This course introduces the Reflective Practice approach developed by Donald Schön, focusing on how professionals can effectively combine their knowledge with practical situations. Learners will explore theories of learning and innovation to enhance their cognitive resources and improve their professional practice.

This course focuses on learning several rules to improve speaking skills in important situations. Learners can master effective presentation methods for various contexts, such as interviews, thesis defenses, and oral exams.

Learn multi-level data analysis using Structural Equation Modeling (SEM) bootstrapping techniques and Hierarchical Linear Modeling (HLM). This is an advanced course designed to help you grow into a statistical expert capable of analyzing complex research data, covering everything from advanced AMOS features to the practical application of HLM. You will master both theory and practice through real-world research cases in the fields of education, psychology, sociology, and health.