BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//CalDiscovery//caldiscovery//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
DESCRIPTION:Charlotte: tech\, next 7 days (Thu Sep 17 to Wed Sep 23\, Amer
 ica/New_York). Rolling: the window moves forward every day\, so subscribe 
 rather than download. Discovered and maintained by CalDiscovery (https://c
 aldiscovery.com). Event details belong to their publishers. Contains infor
 mation from CalDiscovery\, which is made available under the ODbL 1.0.
SOURCE:https://caldiscovery.com/charlotte-nc/next-7-days-tech.ics
X-PUBLISHED-TTL:PT12H
REFRESH-INTERVAL;VALUE=DURATION:PT12H
X-WR-CALDESC:Charlotte: tech\, next 7 days (Thu Sep 17 to Wed Sep 23\, Ame
 rica/New_York). Rolling: the window moves forward every day\, so subscribe
  rather than download. Discovered and maintained by CalDiscovery (https://
 caldiscovery.com). Event details belong to their publishers. Contains info
 rmation from CalDiscovery\, which is made available under the ODbL 1.0.
X-WR-CALNAME:Charlotte · tech · next 7 days · CalDiscovery
BEGIN:VEVENT
SUMMARY:TIAA Employer in the Foyer Table
DTSTART:20260917T150000Z
DTEND:20260917T180000Z
DTSTAMP:20260914T182620Z
UID:tag:localist.com\,2008:EventInstance_53741823039963
CATEGORIES:tech
DESCRIPTION:Drop by to talk with representatives from TIAA about tech care
 ers with the organization. Additionally\, you can ask any career-related q
 uestions to the representatives.
LAST-MODIFIED:20260914T182620Z
LOCATION:Woodward Hall Second Floor
URL:https://campusevents.charlotte.edu/event/tiaa-employer-in-the-foyer-ta
 ble?utm_source=caldiscovery&utm_medium=ics&utm_campaign=charlotte-nc
X-SOURCE-NAME:University of North Carolina at Charlotte Calendar
X-SOURCE-URL:https://campusevents.charlotte.edu
END:VEVENT
BEGIN:VEVENT
SUMMARY:TDA Week: AWS DevOps Agent GameDay Competition for CCI Majors ONLY
DTSTART:20260917T190000Z
DTEND:20260917T200000Z
DTSTAMP:20260917T123926Z
UID:tag:localist.com\,2008:EventInstance_53821452402884
CATEGORIES:tech
DESCRIPTION:AWS DevOps Agent GameDay Competition for CCI Majors ONLYThursd
 ay\, September 17This fast?paced\, hands?on cloud operations challenge hos
 ted by the Charlotte AWS Team and sponsored by CCI and the Career Center\,
  as part of our Technology | Data | Analytics Career Community Week\, Sept
 ember 14-18. This event is a great opportunity to build real AWS troublesh
 ooting skills\, collaborate under pressure\, and connect with industry par
 tners.\nIn this immersive event\, you and your assigned teammates will ste
 p into a real?world AWS crisis scenario. The IT department has quit mid?sp
 rint\, the runbooks are gone\, and broken deploys are causing failures acr
 oss computers\, databases\, containers\, and AI systems. Your mission is t
 o restore stability before the biggest booking night of the year begins. Y
 oull work alongside AWS DevOps Agent\, an autonomous SRE assistant\, to di
 agnose issues\, troubleshoot services\, and race against the clock. Mean T
 ime to Recovery (MTTR) determines your score.\nEvent Details\n\nThursday\,
  September 17 | 3 to 6 p.m. | Career Center Classroom\n10 teams of 4 (40 t
 otal participants)  First-come\; first-served with waitlist\nSnacks provid
 ed\nDesigned for Sophomores\, Juniors\, and Seniors\n\nPrizes\n\n1st Place
 : $100 Amazon gift card per team member\n2nd Place: $50 Amazon gift card p
 er team member\n3rd Place: $25 Amazon gift card per team member\n\nHow to 
 Participate\nComplete the Google Form at https://forms.gle/UnhvoZS9KsyVjiT
 V9 and upload your resume.Questions? Please reach out to Amy Browns atamy.
 browns@charlotte.edu.
LAST-MODIFIED:20260917T123926Z
URL:https://campusevents.charlotte.edu/event/tda-week-aws-devops-agent-gam
 eday-competition-for-cci-sophomores?utm_source=caldiscovery&utm_medium=ics
 &utm_campaign=charlotte-nc
X-SOURCE-NAME:University of North Carolina at Charlotte Calendar
X-SOURCE-URL:https://campusevents.charlotte.edu
END:VEVENT
BEGIN:VEVENT
SUMMARY:AI²: Investigating student use of artificial intelligence and fac
 ulty-student perspectives on academic integrity
DTSTART:20260918T140000Z
DTEND:20260918T150000Z
DTSTAMP:20260914T182620Z
UID:tag:localist.com\,2008:EventInstance_53869363824691
CATEGORIES:tech
DESCRIPTION:Candidate Name: Terry Shirley\nProgram: Educational Leadership
  - Learning\, Design\, and Technology\nCommittee Chair: Dr. Ji Yae Bong​
 ​​​​​​\nCommittee Members: Dr. Beth Oyarzun\, Dr. Stella Kim\,
  Dr. Casey Davenport\nAbstract:\n\nArtificial intelligence has rapidly adv
 anced in recent years and now impacts many aspects of higher education. Ge
 nerative artificial intelligence (GenAI) offers significant opportunities 
 for student learning while raising complex questions about academic integr
 ity. A growing body of empirical research is emerging on how students use 
 GenAI\, with more limited work on what motivates that use and how students
  and faculty evaluate various GenAI assisted practices. Using a quantitati
 ve correlational and comparative design\, this study examined data collect
 ed from students and faculty at a large public university. GenAI adoption 
 was widespread: 92% of students reported using GenAI\, more than 80% had u
 sed it for academic purposes\, and 90% identified ChatGPT as the most comm
 only used GenAI tool. Adoption rates were generally consistent across demo
 graphic groups\, but differences emerged between STEM and non-STEM student
 s regarding specific uses. Regression analyses supported expectancy-value 
 theory (EVT) as a framework for understanding GenAI adoption. Utility and 
 attainment were the strongest predictors of academic GenAI use\, with the 
 model explaining 31.8% of the variance. EVT motivational constructs and pe
 rceived cost also significantly predicted students’ dishonesty evaluatio
 ns of a variety of GenAI use scenarios. Faculty generally rated unacknowle
 dged GenAI use as more dishonest than students did\, although both groups 
 shared a near identical hierarchy of ethical severity across uses. Acknowl
 edging GenAI use significantly reduced perceived dishonesty across all sce
 narios for both groups and substantially narrowed faculty/student percepti
 on gaps. These findings underscore the importance of transparent acknowled
 gment standards and clearly defined institutional guidance for responsible
  academic GenAI use.
LAST-MODIFIED:20260914T182620Z
LOCATION:McEniry\, 401
URL:https://campusevents.charlotte.edu/event/ai-investigating-student-use-
 of-artificial-intelligence-and-faculty-student-perspectives-on-academic-in
 tegrity?utm_source=caldiscovery&utm_medium=ics&utm_campaign=charlotte-nc
X-SOURCE-NAME:University of North Carolina at Charlotte Calendar
X-SOURCE-URL:https://campusevents.charlotte.edu
END:VEVENT
END:VCALENDAR