BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
DTSTART:20260308T030000
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
TZNAME:EDT
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:20251102T010000
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11
TZNAME:EST
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20251130T201020Z
UID:347609BD-C7D8-4C06-956A-1288CFB68F8F
DTSTART;TZID=America/New_York:20251125T190000
DTEND;TZID=America/New_York:20251125T200000
DESCRIPTION:Course-based Undergraduate Research Experiences (CUREs) have pr
 oven effective in engaging all students in authentic research within regul
 ar coursework\, enhancing learning outcomes and preparing students for gra
 duate studies. This talk examines a novel approach to strengthening CUREs 
 through the strategic integration of Generative AI tools in computer scien
 ce education. Drawing from empirical research conducted in a machine learn
 ing course\, an exploration of how foundation models can enhance the four-
 week CURE framework encompassing research overview\, literature review\, r
 esearch design and methods\, and paper construction. The presentation will
  detail specific applications of AI in supporting literature reviews\, cod
 ing assistance\, and concept clarification\, while addressing the pedagogi
 cal considerations essential for responsible implementation. Will also dis
 cuss the observed positive trends in student perceptions of research effec
 tiveness\, particularly in literature review processes\, alongside critica
 l challenges including instructor training needs\, potential over-reliance
 \, and accessibility concerns.\n\nSpeaker(s): Paula\n\nVirtual: https://ev
 ents.vtools.ieee.org/m/473024
LOCATION:Virtual: https://events.vtools.ieee.org/m/473024
ORGANIZER:ieee.lvs.wei@gmail.com
SEQUENCE:14
SUMMARY:Women in AI Series 2025 - Integrating Generative AI Tools in Comput
 er Science Course-based Research Experiences: Dr. Paula Lauren 
URL;VALUE=URI:https://events.vtools.ieee.org/m/473024
X-ALT-DESC:Description: <br /><p>Course-based Undergraduate Research Experi
 ences (CUREs) have proven effective in engaging all students in authentic 
 research within regular coursework\, enhancing learning outcomes and prepa
 ring students for graduate studies. This talk examines a novel approach to
  strengthening CUREs through the strategic integration of Generative AI to
 ols in computer science education. Drawing from empirical research conduct
 ed in a machine learning course\, an exploration of how foundation models 
 can enhance the four-week CURE framework encompassing research overview\, 
 literature review\, research design and methods\, and paper construction. 
 The presentation will detail specific applications of AI in supporting lit
 erature reviews\, coding assistance\, and concept clarification\, while ad
 dressing the pedagogical considerations essential for responsible implemen
 tation. Will also discuss the observed positive trends in student percepti
 ons of research effectiveness\, particularly in literature review processe
 s\, alongside critical challenges including instructor training needs\, po
 tential over-reliance\, and accessibility concerns.</p>
END:VEVENT
END:VCALENDAR