BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:America/Chicago
X-LIC-LOCATION:America/Chicago
BEGIN:DAYLIGHT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
TZNAME:CST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20251016T135143Z
LOCATION:Riverside East
DTSTART;TZID=America/Chicago:20251014T173000
DTEND;TZID=America/Chicago:20251014T183000
UID:HFESAM_ASPIRE 2025_sess131_POST500@linklings.com
SUMMARY:AI Tutors and Open-Source Textbooks: Bridging the Gap in Digital L
 earning
DESCRIPTION:Joseph Slade and Alina Hyk (Oregon State University)\n\nOne-on
 -one tutoring is highly effective for student learning but is difficult to
  scale affordably. While commercial publishers have integrated AI-driven t
 utoring into their courseware, open-source textbooks, despite their growin
 g popularity, often lack interactive support tools due to financial constr
 aints. This study evaluates a novel AI tutor designed to convert open-sour
 ce textbook content into a personalized, interactive learning experience u
 sing large language models (LLMs). Specifically, we examine whether AI-dri
 ven tutoring improves student learning outcomes and engagement compared to
  traditional textbook reading. Undergraduate participants (N = 251) were r
 andomly assigned to one of three groups: textbook reading, AI tutoring wit
 h textbook integration, or standalone AI tutoring. All participants comple
 ted a lesson on operant conditioning and took a posttest assessing compreh
 ension, retention, engagement, and usability. The study also explored whet
 her prior experience with AI moderated learning outcomes.\n\nWe hypothesiz
 ed that both AI tutor groups would outperform the reading control group an
 d compared the relative benefits of textbook-integrated versus standalone 
 AI tutoring designs. By offering a scalable, cost-effective alternative to
  commercial tools, this research highlights the potential for AI to enhanc
 e open-source education, making high-quality, personalized learning access
 ible to all students regardless of financial barriers.\n\n
END:VEVENT
END:VCALENDAR