Kristine Zheng
@kristinezheng.bsky.social
51 followers 61 following 11 posts
computational cognitive science @ stanford, mit | she/her kristinezheng.github.io
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Reposted by Kristine Zheng
nsousanis.bsky.social
My statement on Ai from the mini-comic as syllabus i made for new class I'm teaching that starts tomorrow! It robs you of your decisions & struggles - and the joy of being surprised. We won’t to be robbed of our learning - this is essential. This & the full mini at post:
bsky.app/profile/nsou...
a snippet of a mini-comic, at top - straight line stretches from point A to B. Immediately below, same dot at A, then becomes a curving, meandering line that winds through the page and ends at a point with rays and a question mark emanating from it. Text reads: "Nothing can do this for you - for that robs you of experience and conflates answers with learning. Rather, it's all the decisions you make along the way, the mistakes, struggles, and surprises! These pathways you create - this is learning.
Reposted by Kristine Zheng
yangxiang.bsky.social
Now out in Cognition, work with the great @gershbrain.bsky.social @tobigerstenberg.bsky.social on formalizing self-handicapping as rational signaling!
📃 authors.elsevier.com/a/1lo8f2Hx2-...
Reposted by Kristine Zheng
tobigerstenberg.bsky.social
🚨 NEW PREPRINT: Multimodal inference through mental simulation.

We examine how people figure out what happened by combining visual and auditory evidence through mental simulation.

Paper: osf.io/preprints/ps...
Code: github.com/cicl-stanfor...
Reposted by Kristine Zheng
tobigerstenberg.bsky.social
Josh Tenenbaum's inspiring keynote at #cogsci2025 on growing vs scaling AI, the big questions of cognitive science, and the many open questions for the field.
Reposted by Kristine Zheng
ardeeb.bsky.social
If you're heading to @cogscisociety.bsky.social, come to our symposium “Perception as a Foundation for Common‑Sense Theories of the World”

📅 August 1 • 9 AM
📍 Salon 2

With
@thiskevinsmith.bsky.social
@shariliu.bsky.social
@judithfan.bsky.social
@ardeeb.bsky.social
— See you there! #CogSci2025
kristinezheng.bsky.social
In ongoing work, we’re exploring other behavioral measures of student engagement and developing interventions to help more students overcome psychological barriers to succeeding in these courses!
kristinezheng.bsky.social
We found robust links between various psychological factors (math anxiety, stress expectations, interest in math, self-efficacy, etc.) and quiz performance. But simply completing more of the learning activities was not associated with better performance!
kristinezheng.bsky.social
We focused on estimating the strength of links between the attitudes/beliefs/knowledge students brought with them to the course (e.g., math anxiety; prior coding experience), their subsequent day-to-day engagement with the material, and their performance on quizzes.
kristinezheng.bsky.social
We partnered with CourseKata (coursekata.org) to analyze longitudinal student learning data from 45 college-level data sci courses across 11 institutions.
kristinezheng.bsky.social
Students come into data sci courses with varying levels of motivation and assumptions about themselves and the material. How do these psychological factors interact with their level of engagement with the course to determine how much they learn?
kristinezheng.bsky.social
Linking student psychological orientation, engagement & learning in intro college-level data science

New work ‪‪at @cogscisociety.bsky.social w/ @erikbrockbank.bsky.social @shawnschwartz.bsky.social, C.Bryan, D.Yeager, C.Dweck & @judithfan.bsky.social

poster 8/1 @ 10:30
tinyurl.com/solds-cogsci25
kristinezheng.bsky.social
We focused on estimating the strength of links between the attitudes/beliefs/knowledge students brought with them to the course (e.g., math anxiety; prior coding experience), their subsequent day-to-day engagement with the material, and their performance on quizzes.
kristinezheng.bsky.social
We partnered with CourseKata (coursekata.org) to analyze longitudinal student learning data from 45 college-level data sci courses across 11 institutions.
kristinezheng.bsky.social
Students come into data sci courses with varying levels of motivation and assumptions about themselves and the material. How do these psychological factors interact with their level of engagement with the course to determine how much they learn?
kristinezheng.bsky.social
Students come into data sci courses with varying levels of motivation and assumptions about themselves and the material. How do these psychological factors interact with their level of engagement with the course to determine how much they learn?
Reposted by Kristine Zheng
veronateo.bsky.social
Excited to share our new work at #CogSci2025!

We explore how people plan deceptive actions, and how detectives try to see through the ruse and infer what really happened based on the traces left behind. 🕵️‍♀️

Paper: osf.io/preprints/osf/vqgz5_v1
Code: github.com/cicl-stanford/recursive_deception

1/
Reposted by Kristine Zheng
justintheyang.bsky.social
Excited to be sharing my latest work with @tobigerstenberg.bsky.social at #CogSci2025!

Learning usually occurs when we encounter new data. But we also have the capacity to reflect on our past experiences. What can we learn from simulating past experience?

📃 cicl.stanford.edu/papers/yang2...

1/
Reposted by Kristine Zheng
erikbrockbank.bsky.social
"36 Questions That Lead To Love" was the most viewed article in NYT Modern Love.
Excited to share new results investigating these and other “deep questions” with @tobigerstenberg.bsky.social @judithfan.bsky.social & @rdhawkins.bsky.social
Preprint: tinyurl.com/bdfx5smk
Code: tinyurl.com/3v6pws4s
Reposted by Kristine Zheng
ymacci.bsky.social
🎤 "Your #CogSci presentation was quite good this year."

How flattered or offended will you be? The answer may depend on whether you speak British or American English 🇺🇸🇬🇧. Our new #CogSci2025 paper reveals systematic differences in how different cultures interpret the same words.
Reposted by Kristine Zheng
junyi.bsky.social
Delighted to announce our CogSci '25 workshop at the interface between cognitive science and design 🧠🖌️!

We're calling it: 🏺Minds in the Making🏺
🔗 minds-making.github.io

June – July 2024, free & open to the public
(all career stages, all disciplines)
Reposted by Kristine Zheng
shawnschwartz.bsky.social
I’m pleased to share our new review article, “Attending to Remember: Recent Advances in Methods and Theory”, written with Haopei Yang (HY), Alice Xue, and Anthony Wagner, now out in Current Directions in Psychological Science. 🚀🧠 A brief thread 🧵
doi.org/10.1177/09637214251339452
Attending to Remember: Recent Advances in Methods and Theory - Shawn T. Schwartz, Haopei Yang, Alice M. Xue, Anthony D. Wagner, 2025
The ability to learn from and remember experiences (episodic memory) depends on multiple neurocognitive systems. In this article, we highlight recent advances i...
doi.org
Reposted by Kristine Zheng
talboger.bsky.social
Looking at Van Gogh’s Starry Night, we see not only its content (a French village beneath a night sky) but also its *style*. How does that work? How do we see style?

In @nathumbehav.nature.com, @chazfirestone.bsky.social & I take an experimental approach to style perception! osf.io/preprints/ps...
Reposted by Kristine Zheng
erikbrockbank.bsky.social
Whoops I apparently have no idea how graphics work, please enjoy this hilarious inverted SVG situation and head to project-nightingale.stanford.edu to see the *real* graphic
Project Nightingale
project-nightingale.stanford.edu