Alexander Jung

PhD candidate in Tübingen, interested in interactions between students and teachers, motivation, and psychometrics.

[Kou Murayama @KouMurayama]

I have been very inactive on social media recently but will try to recover... Here is our new publication on #causalinference and cross-lagged panel models in Psych Metods. People use RI-CLPM as a default nowadays but we should think more deeply about it.

https://t.co/Zl8UFmfC89

[Alexander Jung @ajj_94]

Happy to share our (@SKoivuhovi et al.) article on students' academic development based on teachers' perceptions and tracking!
In Finland (our data source) tracking is accompanied by only small differences in curriculum which has interesting implications! https://t.co/CkA2A7ZSQJ

[Nature Human Behaviour @NatureHumBehav]

This new Review from Drew Bailey et al. looks at key challenges for causal inference in studies of human behaviour and offers an overview of methodological solutions for these challenges.
https://t.co/7miJybRkE5

[Alexander Jung @ajj_94]

@aeraqueersig @AERA_EdResearch Still down, right? Could you maybe post the call for submission here as a pdf?

[Alexander Jung @ajj_94]

Wunderbare Umfrage für alle #Lehrerinnen und #Lehrer: Wie äußert sich der Einfluss von Schulklassen auf das Unterrichtsgeschehen? #Twitterlehrerzimmer, #EduPnx, #EduChat

[Alexander Jung @ajj_94]

Wunderbare Umfrage für alle #Lehrerinnen und #Lehrer: Wie äußert sich der Einfluss von Schulklassen auf das Unterrichtsgeschehen? #Twitterlehrerzimmer, #EduPnx, #EduChat

[Marc Schmid @MarcSchmid_]

Liebes #twitterlehrerzimmer, jetzt seid ihr gefragt:
https://t.co/B1yBrh9lRe
#twlz

[Albert Rapp @rappa753]

Need a quick data summary? gt_plt_summary() from {gtExtras} is your friend 🥳

#rstats

[Alexander Jung @ajj_94]

@ODickhauser @dipf_aktuell @LEAD_GradSchool Thank you, Oliver!

[Alexander Jung @ajj_94]

Finally out: Our (w/ Carolin Hahnel, Frank Goldhammer) example on using theoretical hypotheses on mental processes to select indicators and draw inferences from #ProcessData. Example on decisionmaking in #websearch-tasks. @dipf_aktuell @LEAD_GradSchool https://t.co/CnY9C2sbgh

[Julia Moeller @PassionResearch]

Register now for our workshop series on theory development & machine learning! https://t.co/Mwx8AgjMxh

On 7/10, 3.45 pm CEST, @neuranna discusses whether machines can think or just use language properly.

@drewhalbailey @KouMurayama @adeelrazi @CatherineALebel @ajj_94

[Emma Hart @EmmaRoseHart]

Thrilled to share the 1st pre-print from MERF, the Meta-Analysis of Educational RCTs w/ Follow-up w/@tw_watts @drewhalbailey.

Our new dataset includes approx 2500 effect sizes across 89 RCTs compiled to investigate critical questions about fadeout.

https://t.co/8jwyPtHprf
1/

[Kou Murayama @KouMurayama]

Another reminder of our free, online workshop on #MachineLearning and theory development!! One speaker, @mayankagrawal, will show how we can combine computational modeling and ML, titled: "Integrating Theory-Based and Data-Driven Approaches to Human Decision-Making".

[Drew Bailey @drewhalbailey]

Another speaker in our exciting lineup is @beckyj1. See her important talk on "Machine Learning and the Targeting of Help in U.S. Government Bureaucracies: Promises and Perils".
Free reg at https://t.co/eaDDjvhMwt
@koumurayama
@passionresearch
@adeelrazi
@CatherineALebel
@ajj_94

[Kou Murayama @KouMurayama]

Just one month before our free online workshop on machine learning and theory development (July 10-12)!!

Caspar van Lissa @cjvanlissa will talk "Machine Learning can Advance Theory Formation in the Social Sciences".

Program and registration are here: https://t.co/ElIqT5JVnW

[Adeel Razi @adeelrazi]

Our workshop on ML & Theory Development is coming close (10-12 Jul).

Ryota Kanai (@kanair) will give a talk on NeuroAI & consciousness.

"The Synergy of AI Research and Neuroscience: Clarifying Concepts in Consciousness Studies"

For (free) registration: https://t.co/uzw2TsZdrD

[Catherin Vormann @CatherinVor]

Liebes #twitterlehrerzimmer jetzt seid ihr gefragt: https://t.co/lsHrYBoFbT
#twlz

[Chelsea Parlett @ChelseaParlett]

a student shared that they create a study guide, show it to chatGPT, and ask it to generate practice exam questions. It can generate tons of questions for them to quiz themselves.

Seems like a pretty good use of chatGPT to support student learning!

[Adeel Razi @adeelrazi]

Do you want to know how machine learning can help develop new theoretical ideas?

Come and join us for this free online workshop. For more information, speakers and registration go here: https://t.co/JbhaB4gcHe

@KouMurayama @CatherineALebel @baobaofzhang @tyrell_turing @kanair

[Alexander Jung @ajj_94]

@firstkaransingh @robertsd @kareem_carr R squared tells you how much percent of the variance in the y-variable (fertility) is explained by the predictors (% of votes for Trump). Other factors unrelated to votes for trump explain the remaining 82%. "Explaining" does not imply causality.

[Ryota Kanai @kanair]

I'll be speaking in this workshop about the synergy between AI research and neuroscience. Looking forward to the discussion.