David Feldon
@dffeldon
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Professor, Assoc. VP Grad Studies @utahstateITLS; studies STEM expertise development, PhD education, cognitive load + motivation, and mixed methods (he/him)
Logan, UT
Joined March 2011
The USU College of Education and Human Services is hiring 1 postdoctoral fellow to participate in a 2-year training funded by NSF. Successful completion of the postdoctoral training yields an automatic tenure-line faculty offer at USU. https://t.co/jQ0ZvaqVVu
cehs.usu.edu
Find all the open faculty positions within the Emma Eccles Jones College of Education and Human Services at Utah State University.
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Utah State University is hiring 3 postdocs with interdisciplinary research agendas related to access and accessibility in STEM. Postdocs who meet performance expectations over two years will receive tenure-track assistant professorships. Learn more at
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JUST OUT! A fusion of learning sciences, queer theory, and mixed methods, as well as a labor of great love with Colby Tofel-Grehl, Andrea Hawkman, @FTMathteacher, and others! https://t.co/q6HJ8GJUsO
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Banger of a paper
📣 New working paper 'Professional Development & Cognitive Load' Written by Dr @ArielleBoguslav, @ollie_lovell and me Short 🧵
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🚨CALL FOR PROPOSALS! 🚨 Super excited about co-editing a special issue on effective feedback to teachers for Theory into Practice w/ Mary Lynne Derrington! Share widely and submit your proposals here by Dec. 1st: https://t.co/u6Dh5NMafG
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✨WE'RE HIRING✨We have 2 TT appointments at the rank of assistant or associate professor! Apply⬇️ Research specialty related to gender and migration: https://t.co/mEL5Lvg0Rt Research specialty related to political sociology, culture, and social theory:
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Register to attend the @NASEM webinar on October 10 at 5 PM ET featuring Dr. Shuchi Grover discussing K-12 Education in the Age of AI: https://t.co/o8HmsUV9ZK
#EdResearch #AIEd #AI #NSFSTEM
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🚨Review of Edu-Research in 2023/24 → 11 standout papers → 5 emerging themes → My finding/sharing process (this is my first crack at a vid—would love any feedback, esp how it could be better next time)
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Measurement Malpractice: @lrj417 reports how Oklahoma lowered standards but still reported trends, leading to nonsensical gains. (Researchers, think effect sizes approx. +.11 to +.63). Lesson: OK, be like other states and listen to your TAC (many @NCME38 members serve on TACs).
Skyrocketing test gains in Oklahoma are largely fiction, experts say
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Nice study! In our work (eg. https://t.co/Z14ynqJd52) we find across replications that time and cognitive load type matter. Self-efficacy is harmed by higher levels of extraneous load within time and enhanced by intrinsic load across time. SE may differ from general affect?
Meta-analysis: Thinking hard feels bad. https://t.co/lxqFoyzh7d This meta-analysis provides a new, central piece of evidence for models that assume that mental effort is costly. The main finding from this meta-analysis is that mental effort is strongly associated with negative
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“All pedagogies I don’t like are evil because they are always applied in the way in which I mischaracterize them.” —EduTwitter
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Just dropped! An ahead of print by @Dr_Dortch, @anotherijeoma, @cqkiki, & Joy A. Jack, "Black Taxes: African-American Doctoral Students Experiencing Tokenism at a Predominantly White Institution." Read this NEW #RHE article: https://t.co/9lH0WmkRFL
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Just dropped! An ahed of print by Drs. @jennifer_blaney, Theresa E. Hernandez, @annie_woff & @dffeldon, "'That Sounds like Something Geniuses Do': Exploring How Vertical Transfer Computing Students Conceptualize PhD Pathways." Read this NEW #RHE article: https://t.co/uhEFyL0sG8
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Linking theory with research, choosing a theoretical framework and developing alternative explanations
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@DenverDamn Intelligence is a human construct uniquely meaningful to humans…..and no other complex organism.
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Why use #MixedMethods #MMR measurement tools? Context and positionality shape what measures mean and how people respond to items. We can incorporate thick descriptions of context, identity, or positionality into a measurement model, enhancing validity. https://t.co/r03PDn4QEp
taylorfrancis.com
This book presents a groundbreaking approach to measurement from a mixed methodological perspective, reframing the concept of incommensurability to harmonize
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A truly great collection of equity work at the intersection of research and practice in data science. Very much worth reading!
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Princeton is hiring postdocs interested in projects focused on comparing AI systems to human cognition or using ideas from cognitive science to better understand those systems as part of a new initiative studying Natural and Artificial Minds. Apply at
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