Junlan Pan 盘峻岚 (@JunlanPan) header
Junlan Pan 盘峻岚 (@JunlanPan) profile picture

PhD in Applied Linguistics @UofYork Associate Professor @ChongqingUniversity | individual differences in language learning | Open Science advocate

Chongqing, China
Joined June 2020
Photo by Junlan Pan 盘峻岚 (@JunlanPan)Photo by Junlan Pan 盘峻岚 (@JunlanPan)Photo by Junlan Pan 盘峻岚 (@JunlanPan)Photo by Junlan Pan 盘峻岚 (@JunlanPan)Photo by Junlan Pan 盘峻岚 (@JunlanPan)
Junlan Pan 盘峻岚 retweeted
Check out this infographic highlighting key findings from an open science replication study and the power of accessible research communication. Created by our Education Team member, Xuanhua He, with support from NotebookLM. 📖 doi.org/10.1111/lang.12621
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Junlan Pan 盘峻岚 retweeted
We are warming up for some new content formats in the near future. Right now is our exploration phase, please share with us what you'd like to see content-wise to help shape where we go next!😎
🔓✨Let’s shape Open Applied Linguistics together! We’re sharing open-access articles on Open Scholarship from the #OALL—and co-constructing this journey with you. 💬We’d love your insights: What matters most to YOU in this space? Reply, repost & join the conversation. #OALL
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Junlan Pan 盘峻岚 retweeted
"We offer a step-by-step, contextualized tutorial on the practical application of mediation analysis" Jia & Hui (in press). Modeling relationships between learning conditions, processes, and outcomes: An introduction to mediation analysis in SLA research doi.org/10.1017/S02722631251…
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Junlan Pan 盘峻岚 retweeted
EuroSLA 35 (#EuroSLA35) - Location: Lisbon, Portugal - Dates: 24–27 June 2026 - Deadline for abstract submission: 5 December 2025 - Keynote speakers: Melissa Baese-Berk, Bram Bulté, Vincent DeLuca, and Emma Marsden eurosla35.fcsh.unl.pt/
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Junlan Pan 盘峻岚 retweeted
New article: Wong. M.H.I. (2025). A Bayesian approach to small samples: Mixed-effects modeling in L2 interventional research. Research Methods in Applied Linguistics, 4(3), 100231: sciencedirect.com/science/ar….
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Junlan Pan 盘峻岚 retweeted
"AI exhibits distinct linguistic and stylistic authorship markers, which can be identified using conventional authorship attribution methods." Zhu & Lei (in press). Detecting authorship between generative AI models and humans: a Burrows’s Delta approach doi.org/10.1093/llc/fqaf048
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Junlan Pan 盘峻岚 retweeted
Li, S. (2025). Generative AI and second language writing. Digital Studies in Language and Literature, 1(2), 1-31. doi.org/10.1515/dsll-2025-00…
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Junlan Pan 盘峻岚 retweeted
Just accepted for publication! As always, the postprint is available on IRIS. Mizumoto, A. (2025). Automated analysis of common errors in L2 learner production: Prototype web application development. Studies in Second Language Acquisition. iris-database.org/details/eF…
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Junlan Pan 盘峻岚 retweeted
📢New on Early View: Open Access!🔓 “Contrasting Fixed- and Mixed-Effects Modeling in Vocabulary Research: Reanalyzing Laufer (2024) and McLean et al. (2020)” By: Christopher Nicklin, Stuart McLean & Joseph Vitta Check it out here: doi.org/10.1111/lang.12715 Abstract below!👇
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Junlan Pan 盘峻岚 retweeted
We are pleased to announce that the British Academy will continue to fund IRIS until 2030! Thank you, all our authors and users, for your contributions and support for open research practices in applied linguistics!
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Junlan Pan 盘峻岚 retweeted
Fantastic news for #OpenScholarship! Huge thanks to @LukePlonsky and #SSLA for recognizing and endorsing the value of diverse methodological perspectives in advancing OS! We're really excited to explore open scholarship through the underexplored lens of qualitative research!
📣 Exciting news!🤩 The special issue "Open Qualitative L2 Research: From Tensions to Transformative Opportunities" proposed by our co-convenors has been accepted by SSLA! Please consider submitting and help us spread the word! CfP: bit.ly/ssla2026si #OpenScholarship
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Junlan Pan 盘峻岚 retweeted
Our paper, "Large language models fall short in classifying learners’ open-ended responses," has just been accepted in Research Methods in Applied Linguistics! 🎉 You can check out the postprint on IRIS: iris-database.org/details/Qn… 👇 This figure sums up our key findings.
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Junlan Pan 盘峻岚 retweeted
#SSLA is pleased to share that the winner of the Albert Valdman Award for 2024 is "Replication studies in second language acquisition research: Definitions, issues, resources, and future directions" by Kevin McManus: cup.org/43UnQol #linguistics #AAAL2025
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Junlan Pan 盘峻岚 retweeted
"Comparisons with traditional measures … show that u has greater sensitivity to unidimensional structure and less sensitivity to the number of items in a scale." Revelle & Condon (in press). Unidim: An index of scale homogeneity and unidimensionality doi.org/10.1037/met0000729
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Junlan Pan 盘峻岚 retweeted
Just out: SSLA special issue on replication, edited by @KMcManus84, which includes an incredibly compelling conceptual piece + 11 outstanding studies. Landmark collection for replication research in AL. Congrats to Kevin + all contributing authors! cambridge.org/core/journals/…
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Junlan Pan 盘峻岚 retweeted
Excited to share my open-access paper published in Research Methods in Applied Linguistics (@RMALJournal)! It critically explores the limitations of traditional linear regression models (assuming normal error distribution) for analysing syntactic complexity measures. 1/10
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Junlan Pan 盘峻岚 retweeted
📚Excited to share our recent open-access publication, “Why are some articles highly cited in applied linguistics? A bibliometric study,” in Studies in Second Language Acquisition. 📚Co-authored with my MA student, @ZhangShirley11. cambridge.org/core/journals/…
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Junlan Pan 盘峻岚 retweeted
Not every study needs to have a power analysis, but every study needs a sample size justification. I discuss 6 approaches, and 6 ways to think about which effect sizes are of interest in the study you are planning. online.ucpress.edu/collabra/…
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Junlan Pan 盘峻岚 retweeted
Why Does ChatGPT "Delve" So Much? Exploring the Sources of Lexical Overrepresentation in Large Language Models 'Scientific English is currently undergoing rapid change, with words like "delve," "intricate," and "underscore" appearing far more frequently than just a few years ago.' arxiv.org/abs/2412.11385
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