In this paper, we investigate bias detection and mitigation techniques to address issues of
algorithmic fairness in multimodal models of museum visitor visual attention.
DATE:
TEAM MEMBERS:
Halim AcostaNathan HendersonJonathan RoweWookhee MinJames MinogueJames Lester
Presentation slides and narration for the NARST 2022 Annual Conference. In this presentation we summarize findings from our interviewed with undergraduate STEM majors who identify as Latine, homing in on the ways in which they characterize "STEM" and "STEM people" and their descriptions of K-12 experiences that contributed to their characterizations of these concepts.
This presentation "Revealing Impacts: How does one long-term, statewide field trip program influence a community's learning ecosystem?" was shared as showcase at the 2021 Connected Learning Summit (https://app.clowdr.org/conference/clsummit2021/) held virtually from July 7-30, 2021.
In the showcase session, we shared details of an NSF funded collaborative project between the Gulf of Maine Research Institute, Oregon State University and TERC to understand how a longstanding, statewide field trip program, LabVenture, influences a community’s learning ecosystem. The project uses the construct
This paper discusses findings from the use of the Wise Guys and Gals (WGG) Observation of WGG Youth Protocol in a blended learning environment. The protocol was used to assess youth engagement when completing blended engineering design challenges at two Boys and Girls Clubs. WGG is a project funded through a grant from the National Science Foundation and which brings blended learning design challenges to middle school aged learners in informal STEM (science, technology, engineering, and mathematics) settings. This paper explores the feasibility of using the observation protocol to collect data