Affective Intelligence in Artificial Intelligence
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Affective Intelligence in Artificial Intelligence
"Looking back on my lifelong history of learning experiences, the ones that I would rank as most effective and memorable were the ones in which the instructor truly saw me, understood my motivations and encouraged me to apply the learning to my own circumstances. This critical aspect of teaching and learning is included in most every meaningful pedagogical approach. We commonly recognize that the best practices of our field include a sensitivity to and understanding of the learner's experiences, motivations and goals."
"In September 2024, the South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference included research by four professors from the University of West Attica in Egaleo, Greece-Theofanis Tasoulas, Christos Troussas, Phivos Mylonas and Cleo Sgouropoulou-titled " Affective Computing in Intelligent Tutoring Systems: Exploring Insights and Innovations." The authors described the importance of including affective engagement into developing learning systems:"
Effective and memorable learning occurs when instructors see learners, understand their motivations, and encourage application of learning to personal circumstances. Best pedagogical practices include sensitivity to learners' experiences, motivations, and goals, which supports internalization of learning. AI has evolved from focusing mainly on facts and formulas to recognizing and responding to learners' emotional signals. Research presented in September 2024 emphasized integrating affective engagement into intelligent tutoring systems. Reviews of recent advances in affective intelligent tutoring systems examine educational impacts and future prospects. Agentic AI models are being assigned to monitor emotions and adapt instruction accordingly.
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