We will also be at @perq2022 !! Another 🧵
🗣️: Rebeckah Fussell
🗨️: Content Analysis at scale: using NLP and neural networks to analyze large quantities of student writing about their approach to experimental physics
🕗: Parallel Session III, 7/14 @ 11 am
@perq2022 🗣️: Rebeckah Fussell
📊: Machine learning for automated content analysis: characteristics of training data impact reliability
🕗: Poster Session II, 7/14 @ 9:30 am
Be on the lookout for our 4⃣ CDER talks at #AAPTSM22 next week! (🧵)
🗣️: Meagan Sundstrom
🗨️: Gender Bias in Peer Recognition Across Course Levels and Contexts
🕗: Session DD, 7/11 @ 3:40 pm
Very proud of my former @SUBiology @ArtSciencesSU Ph.D. student @kellymschmid, now at @CornellEEB / @CornellCDER. Check out Kelly’s latest on supporting women in STEM in The American Biology Teacher. https://t.co/KQ9ca3h7aZ
Check out this recent piece from a few postdoctoral researchers at Cornell! “A Guide to Implementing Inclusive and Accessible Virtual Poster Sessions” https://t.co/GePVyR6P7b
A wonderful feature of CDER’s PhD student @DavidEDsparza, whose research focuses on students’ experience and learning in biology field courses!! https://t.co/Nbkak3gcIK
🚨New paper from our lab! How much an instructor interacts with lab groups is impacted by the lab curricula more than the instructors’ individual enactment of the instruction, with more time spent interacting in nontraditional than traditional physics labs.