Dorottya Demszky
Assistant Professor, Graduate School of Education
Applies natural language processing to classroom discourse to give teachers feedback.
Dorottya Demszky's lab at Stanford works on language & society and learning & education technology. 29 papers since 2023, 7 at top venues, mostly Findings of ACL and Interspeech. Applications close .
At a glance
- papers, 2023–2026
- 8/ year
- at T1 venues
- 24%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 4 papers2026 · T1 1 · collecting
- 9 papers2025 · T1 2
- 9 papers2024 · T1 2
- 7 papers2023 · T1 2
T1 venuesOtherVenues: Findings of ACL, Interspeech, NAACL, AAAI/ACM AIES, ACL
Research focuspaper titles that use each topic's words
- feedback7 papers
- Language & society5 papers
- Learning & education technology4 papers
- applies natural0 papers
- discourse0 papers
Paper list
From DBLP.
20264 papers
- ACL (T1)EduCoder: An Open-Source Annotation System for Education Transcript Data (opens in a new tab)
- Findings of ACLFrom Scoring to Explanations: Evaluating SHAP and LLM Rationales for Rubric-based Teaching Quality Assessment (opens in a new tab)
- EACLIDEAlign: Comparing Ideas of Large Language Models to Domain Experts (opens in a new tab)
- LAKMarked Pedagogies: Examining Linguistic Biases in Personalized Automated Writing Feedback (opens in a new tab)
20259 papers
- L@SAdvancing the Science of Teaching with Tutoring Data: A Collaborative Workshop with the National Tutoring Observatory (opens in a new tab)
- Comput. Educ.Automated feedback improves teachers' questioning quality in brick-and-mortar classrooms: Opportunities for further enhancement (opens in a new tab)
- ICASSP (T1)CPT-Boosted Wav2vec2.0: Towards Noise Robust Speech Recognition for Classroom Environments (opens in a new tab)
- LAKExploring the Benefit of Customizing Feedback Interventions For Educators and Students With Offline Contextual Multi-Armed Bandits (opens in a new tab)
- Interspeech (T1)From Weak Labels to Strong Results: Utilizing 5, 000 Hours of Noisy Classroom Transcripts with Minimal Accurate Data (opens in a new tab)
- L@SMathemaTikZ: A Dataset and Benchmark for Mathematical Diagram Generation (opens in a new tab)
- EDMMulti-Stage Speaker Diarization for Noisy Classrooms (opens in a new tab)
- Br. J. Educ. Technol.Scaffolding middle school mathematics curricula with large language models (opens in a new tab)
- Findings of ACLTell, Don't Show: Leveraging Language Models' Abstractive Retellings to Model Literary Themes (opens in a new tab)
20249 papers
- Findings of EACLBacktracing: Retrieving the Cause of the Query (opens in a new tab)
- NAACL (T1)Bridging the Novice-Expert Gap via Models of Decision-Making: A Case Study on Remediating Math Mistakes (opens in a new tab)
- LAKDoes Feedback on Talk Time Increase Student Engagement? Evidence from a Randomized Controlled Trial on a Math Tutoring Platform (opens in a new tab)
- NAACL (T1)Edu-ConvoKit: An Open-Source Library for Education Conversation Data (opens in a new tab)
- L@SEnhancing Tutoring Effectiveness Through Automated Feedback: Preliminary Findings from a Pilot Randomized Controlled Trial on SAT Tutoring (opens in a new tab)
- AAAI/ACM AIESKid-Whisper: Towards Bridging the Performance Gap in Automatic Speech Recognition for Children VS. Adults (opens in a new tab)
- Findings of EMNLPProblem-Oriented Segmentation and Retrieval: Case Study on Tutoring Conversations (opens in a new tab)
- L@SReframing Authority: A Computational Measure of Power-Affirming Feedback on Student Writing (opens in a new tab)
- L@SScaling High-Leverage Curriculum Scaffolding in Middle-School Mathematics (opens in a new tab)
20237 papers
- EMNLP (T1)"Mistakes Help Us Grow": Facilitating and Evaluating Growth Mindset Supportive Language in Classrooms (opens in a new tab)
- BEA@ACLIs ChatGPT a Good Teacher Coach? Measuring Zero-Shot Performance For Scoring and Providing Actionable Insights on Classroom Instruction (opens in a new tab)
- L@SM-Powering Teachers: Natural Language Processing Powered Feedback Improves 1: 1 Instruction and Student Outcomes (opens in a new tab)
- Interspeech (T1)MD3: The Multi-Dialect Dataset of Dialogues (opens in a new tab)
- BEA@ACLSIGHT: A Large Annotated Dataset on Student Insights Gathered from Higher Education Transcripts (opens in a new tab)
- BEA@ACLThe NCTE Transcripts: A Dataset of Elementary Math Classroom Transcripts (opens in a new tab)
- AIEDTowards the Future of AI-Augmented Human Tutoring in Math Learning (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to StanfordFall 2027
Stanford Computer Science PhD
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Confirmed on the program page.
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