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    [C3] Bespoke Learning & Assessment with Gen AI
    ÄÚµå¹øÈ£ : 38
    ¹ßÇ¥ÀÚ : ȲÀμ®
    ¼Ò¼Ó : Æ÷Ç×°ø´ë
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    Á÷À§ : ±³¼ö
    ¼¼¼Ç½Ã°£ : 16:00~17:50
    ¹ßÇ¥ÀÚ¾à·Â : 2020 – ÇöÀç: Æ÷Ç×°ø°ú´ëÇб³ ÄÄÇ»ÅÍ°øÇаú Á¶±³¼ö
    2014 – 2020: IBM Research – Austin ¿¬±¸¿ø (Research Staff Member)
    2013 – 2014: KAIST ¸ð¹ÙÀϼÒÇÁÆ®¿þ¾îÇ÷§Æû¼¾ÅÍ ¿¬±¸±³¼ö
    2013: KAIST Àü»êÇаú ¹Ú»ç
    °­¿¬¿ä¾à : As computing services are being planted into one¡¯s everyday life, their life experiences and service experiences increasingly permeate each other. This blending trend calls for a computing service to personalize its embodiment, while keeping its own principles unaltered, such that individual users¡¯ service experiences make natural sense with respect to one¡¯s own life routine, responsibility, preferences, and so on. In this light, I will walk you through several application-driven systems. In particular, I will introduce our initiative of ¡®generative¡¯ strategies in the context of health-guidance systems so that a traditional common norm is individualized into a myriad of bespoke norms.
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