Abstract
This presentation explores the integration of artificial intelligence (AI) as a transformative learning tool on how AI can inform and transform pedagogical design through the lens of the interdisciplinary CC course “Emotions and AI: Bridging Technology and Human Experience”. Designed to engage students at the intersection of psychology, technology, and ethics, the course investigates how AI can be used to understand and interpret human emotions. It introduces foundational concepts such as emotion theories, machine learning, deep learning, natural language processing, and emotion recognition, while fostering critical thinking around ethical concerns including privacy, bias, and fairness.
The pedagogical framework is grounded in experiential learning. The initiative centers on a hands-on, cloud-based learning experience that empowers students to apply theoretical knowledge to real-world scenarios. A key component is the integration of cloud-based platforms that support hands-on tutorials and collaborative activities. These elements scaffold students’ understanding of AI concepts and equip them with practical skills in emotion recognition using AI. Central to the course is the Emotion Capturing Exercise, in which students collect real-world emotion data using mobile devices. This exercise not only enhances students’ data literacy and analytical capabilities but also immerses them in collaborative research practices. It is also a pedagogical strategy to foster critical reflection on mental wellness, data ethics, privacy, and bias.
The course culminates in an interactive lecture where students analyze and interpret the emotion data they have collected. They take part in the analysis of the emotion data and contribute their insights. This design promotes active learning, peer discussion, and deeper reflection on social and emotional implications of AI technologies.
This presentation will highlight how AI can be leveraged not merely as a tool for instruction, but as a catalyst for reimagining pedagogical design, particularly in emotionally and ethically complex domains. By embedding AI within a thoughtfully constructed learning environment, the course enables students to engage with technical content in a personally meaningful and socially responsible way. The session will offer insights into how educators can design AI-enhanced curricula that promote active learning, interdisciplinary thinking, and ethical reflection.
Presenter(s) / Author(s)
