Wanjing Anya Ma

PhD Candidate @StanfordEd former classroom teacher, education researcher, and psychometrician @NYUSteinhardt '18 💜 @PennGSE '19

[Wanjing Anya Ma @AnyaWMa]

Thank you @Psychonomic_Soc for featuring our study! 😻

[Psychonomic Society @Psychonomic_Soc]

Assessing reading skills for an entire school’s worth of children is challenging and time-consuming – unless you’re using ROAR-CAT! 📚🦁Computerized Adaptive Testing (CAT) to assess reading abilities. Post by Anthony Cruz; #psynomBRM paper by @anyawma, @KlintKanopka and colleagues https://t.co/6DbSHatCkv

[Klint Kanopka @KlintKanopka]

As people settle back into offices, a reminder that our department has launched a new PhD program in Statistics and Computational Social Science. Applications are due 12/1. We'll be hosting info sessions, and I'm happy to talk!

https://t.co/LkJ6jwz3cQ

[Eric Zelikman @ericzelikman]

making one of the frontiest models was pretty fun
https://t.co/jR5J2juaWj

[Michael C. Frank @mcxfrank]

Introducing LEVANTE, a project for measuring children's developmental and learning variability around the world! LEVANTE provides a measurement platform with data flowing to an open repository. Call for proposals coming soon from @Foundation_JF.

https://t.co/rC5xn3RQ2Y

[Wanjing Anya Ma @AnyaWMa]

Thanks @alvinwmtan

[Alvin Tan @alvinwmtan]

@babyLMchallenge @wkvong Huge thanks to my fantastic undergrad RA Sunny Yu, collaborators @brialong, @AnyaWMa, Tonya Murray, Rebecca Silverman, @jdyeatman, and of course my amazing advisor @mcxfrank for making this work possible. Stay tuned for code/data + future iterations of DevBench! 😉7/7

[Alvin Tan @alvinwmtan]

How do we measure similarities and differences between how kids and models learn language?

We introduce DevBench, a suite of multimodal developmental evaluations with corresponding human data from both children and adults. 🧵 1/

📝: https://t.co/B299kyjl1X

[Wanjing Anya Ma @AnyaWMa]

I am excited to join the ETS research internship program this summer!🔥 The fact that many psychometricians and research scientists I read from the literature are working on the same floor just makes me feel I am in the Hogwarts! 🧙‍♂️@ETSresearch

[ETS Research Institute @ETSresearch]

Today, we welcomed our 2024 research interns! Internships are vital for preparing the workforce, offering real-life experience that shapes the future of education and assessment.

Our interns are reimagining measurement to drive impact. Welcome to the ETS family! 🌟

#ETSInterns

[Bria Long, PhD @brialong]

📣I'm hiring a lab coordinator! This position is ideal for someone looking for research experience before applying to graduate school.

Deadline is April 1st—flexible summer start date. Details and instructions below! https://t.co/ubBGUb4gwB

[Bria Long, PhD @brialong]

📣 Excited to share that our paper, “Parallel developmental changes in children’s production and recognition of line drawings of visual concepts” has been published in Nature Communications! 🎉

https://t.co/wVQLDQ5zs4

[Eric Zelikman @ericzelikman]

Language models today are trained to reason either 1) generally, imitating online reasoning data or 2) narrowly, self-teaching on their own solutions to specific tasks

Can LMs teach themselves to reason generally?🌟Introducing Quiet-STaR, self-teaching via internal monologue!🧵

[Diyi Yang @Diyi_Yang]

Day 3 of #EMNLP2023 Check out posters around #coannotating #diffusionLM #unlearning 🤓

[Wanjing Anya Ma @AnyaWMa]

Today #EMNLP2023 at 10am in West Ballroom 3! @ericzelikman2 and I will be presenting a cool human-centered NLP application to identify & progress monitor struggling readers in K-12! w/@Diyi_Yang @brainnjas @jdyeatman @nickhaber
https://t.co/azuxLWSLR7

[Diyi Yang @Diyi_Yang]

🔥🎙️ Dec 6, 9:30-12:30, 📍Leo 3& 4. Come to our tutorial on human-AI interactions! https://t.co/HuPj2RT9Vk 🤖

[Stanford Graduate School of Education @StanfordEd]

By working directly with teachers, GSE Professor @ddemszky and computer science PhD student Rose Wang are building natural language processing (NLP) systems that enrich student learning and well-being. Learn more about their research from @StanfordHAI. https://t.co/gWh2fT6MnT

[Stanford HAI @StanfordHAI]

Animals naturally excel at adapting to changing environments. How can AI successfully do the same? Stanford scholars designed a method that allows AI agents to “self-reflect” about their most interesting experiences, thereby improving performance. https://t.co/cEMxj6KpnO

[Wanjing Anya Ma @AnyaWMa]

It is a cool human-centered NLP to identify struggling readers in K-12 and monitor their progress! automatic item generation & evaluation using LMs 😎

[Eric Zelikman @ericzelikman]

Can language models help educators make good exams? Widely-used tests are costly and require “calibrating” questions on thousands of students. But LMs can simulate past students’ answers to new items!

https://t.co/trttFNTCYA
w/@AnyaWMa @brainnjas @Diyi_Yang @jdyeatman @nickhaber

[Wanjing Anya Ma @AnyaWMa]

Glad that my first PhD project is out☺️ with an amazing team @amykburkhardt @KlintKanopka @clem_chowder @bendomingue and @jdyeatman ! And a more exciting fact is: more than 10,000 school-age students have benefited from the efficiency of the ROAR-CAT! 🐱

[Wanjing Anya Ma @AnyaWMa]

I am extremely honored be awarded as the Stanford Interdisciplinary Graduate Fellow @StanfordVPGE 🌟🌟🌟 Thank U my wonderful advisors @jdyeatman @bendomingue and @nickhaber and all the amazing people who have supported my research & dreams :) https://t.co/I5BnZuscR8

[Michael C. Frank @mcxfrank]

Come join us in our mission to create bigger datasets to understand human development! We're hiring two software developers to join our team and build data repositories. Remote work possible.

Please RT!
https://t.co/SyHNrHTIIF

[Wanjing Anya Ma @AnyaWMa]

Grateful for being part of the project ☺️ Children in schools love ROAR-PA:)