Ethics Education: Emotional Impact

Related lectures (32)

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Explores the Brookfield reflection model and strategies for managing emotions triggered by feedback.

Emphasizes selecting images to evoke positive emotions and clarify training content in digital education.

Explores the definition, adaptive nature, and influence of emotions on behavior and decision-making.

Explores cognitive biases, emotions, and language evolution, covering memory failures, decision-making heuristics, and the origins of language.

Explores emotions, coping with challenges, software malfunctions, difficult exercises, and locus of control in stress management.

Delves into biases and stereotypes in learning environments, emphasizing strategies to reduce biases and enhance learning outcomes.

Delves into students' emotional experiences in the first year at university, focusing on achievement emotions and their implications for practice.

Explores the desire for a good life with and for others, discussing the origins of ethics, the common good, and the ethical problem of partiality.

Explores the definition of intelligence in AI and humans, the role of communication and emotion, and ethical considerations in AI regulation.

Explores the Ethics and Law of AI, focusing on data ethics, bias, and social justice in AI systems.