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LIGHTNING TALKS

11-11:30

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AGENDA

ONE DEMOS: 11:00 -11:05
DataShop Introduction + Q&A: 11:06-11:16
Participation Introduction: 11:17 - 11:30

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DEMO

Research Paper Title:

Combining Log Data and Collaborative Dialogue Features to Predict Project Quality in Middle School AI Education

Authors: Conrad Borchers, Xiaoyi Tian, Kristy Elizabeth Boyer, and Maya Israel

Presenters: Conrad Borchers, CMU & Xiaoyi Tian, NCSU

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INTRODUCTION

Please type this link into your browser : http://tiny.cc/CSEDM

Please take one slide in the shared deck and write down the following information:

Your Name (and a picture if you have!)
Title/Affiliation
Email and Website (optional)
Research Interests
What's one interesting thing you've come across lately

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Shan Zhang

Title/Affiliation: PhD/University of Florida
Email and Website (optional): zhangshan@ufl.edu
Research Interests: AI Literacy, SRL, Megaconition, Productive Persistent, Collaborative Learning, MMLA.
What is one interesting research direction or topic you would like to explore further? How to measure K-12 students’ AI literacy competencies and skills using multimodal data while they use generative AI as scaffolding.

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Yang Shi

Assistant Professor @ Utah State University
yang.shi@usu.edu https://yshi.info/
Research Interests:

Computing Education, Educational Data Mining

What is one interesting research direction or topic you would like to explore further?

What are the knowledge components students practice when they work on open-ended programming in CS1?

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Bita Akram

Assistant Professor/North Carolina State University
bakram@ncsu.edu
Computer Science Student Modeling, Computer Science/AI education, HCI in CS education
How can we adapt LLMs to be effective pedagogical agents for CS education?

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John Stamper

Associate Professor, Carnegie Mellon University
jstamper@cmu.edu http://dev.stamper.org
EDM, Knowledge Tracing, Question Generation, Learnersourcing
LLM generated Data Visualization

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Kyosuke Takami

Associate Professor / Osaka Kyoiku University ( Teacher training)
kyosuke.takami@gmail.com / https://researchmap.jp/takamikyo?lang=en
Research Interests

Explainable Recommendation, Computer Based Testing

LLM, Data science in Teacher training. LA in K12.

What is one interesting research direction or topic you would like to explore further?
How much data science should be taught to general K-12 teachers?

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Alina Deriyeva

PhD Student/Bielefeld University
aderiyeva@techfak.de
Research Interests: EDM, Knowledge Tracing, Intelligent Tutoring Systems, Learner Modeling.
What is one interesting research direction or topic you would like to explore further?

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Allison Poh

PhD Candidate / University of Massachusetts (Amherst)
apoh@cs.umass.edu
https://sites.google.com/view/allisonpoh
Research Interests: teacher dashboards, learning analytics, embodied learning, HCI, EDM
What is one interesting research direction or topic you would like to explore further? learning analytics for multimodal data

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Peter Brusilovsky

Professor, University of Pittsburgh
peterb@pitt.edu - https://sites.pitt.edu/~peterb
Human-AI collaboration, Personalized learning, Computer-Science Education, Recommender systems
Research: ELO modeling for personalized programming practice
Looking for: Collaborators for KC-based learning modeling!
Personal: Palermo has an amazing Modern Art Gallery, planning to go there! Modern art in Italy is actually 19th century art

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Hendrik Fleischer

Title/Affiliation: PhD student - Leibniz University Hannover (Germany)
Email: fleischer@idn.uni-hannover.de
Research Interests: Chemistry Education, Intelligent tutoring systems (ITS), misconceptions in stoichiometry
What is one interesting research direction or topic you would like to explore further? ITS, support learners solving stoichiometry problems, get to know methods and techniques from EDM research

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Jill-Jênn Vie

Researcher at Inria (hiring PhD/postdoc/engineer in 2026!)�ICPC coach & Lecturer at École polytechnique
jill-jenn.vie@inria.fr / https://jjv.ie
adaptive learning (knowledge tracing), reinforcement learning in education to optimize human learning, privacy & fairness
Looking for: nice applications of LLMs and retrieval-augmented generation (RAG) for learning programming

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Andrew Olney

Professor, University of Memphis
https:olney.ai
Research Interests

Learning data science
Conversational interfaces

What is one interesting research direction or topic you would like to explore further?

Scaffolding learners from blocks based languages to traditional coding

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Toni Earle-Randell

Title/Affiliation: PhD Student / University of Florida
tearlerandell@ufl.edu
Research Interests: Collaborative Learning, Virtual Agents, K12 CS Education, K12 Robotics Education
What is one interesting research direction or topic you would like to explore further? How do we identify the most effective measures of collaboration between learners? How can we use virtual agents to facilitate collaboration between two or more humans?

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Conrad Borchers

CMU, 4th year PhD student
cborchers.com | cborchers@cmu.edu
Research Interests: Student persistence, learner modeling, multimodal learning analytics, design-based research, …
Still looking for rigorous empirical evidence that LLMs can improve learning beyond the best of ed-tech.

CSEDM’s adjacent disciplines have a good shot at this (and perhaps already have some emerging evidence)

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Israt Naiyer

2nd yr PhD Student at the University of Memphis
Research Interests: Multimodal AI to understand cognition and other human behaviour with a focus in time series and signals data that is collected in the wild.
What is one interesting research direction or topic you would like to explore further? Making informed to a multimodal foundational model to understand cognition

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Jesper Dannath

Title/Affiliation: PhD student at Bielefeld university
jdannath@techfak.uni-bielefeld.de
Research Interests: ITSs, automatic hint generation, learner modelling
What is one interesting research direction or topic you would like to explore further? How to combine classic state space based approaches with LLMs for generating programming hints.

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Anurata Prabha Hridi

PhD student, CS@NC State
aphridi@ncsu.edu
AI in education, Distributed ML, Federated learning
How can federated learning help with student knowledge progression based on pair-programming data in a privacy-preserved way?
Looking for post-doc opportunities starting Fall 2026!

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Xiaoyi Tian

Research Scientist, North Carolina State University

Looking for tenure-track positions (CS/Info Sci) starting 2026!

Website: txiaoyi.com | Email: xtian9@ncsu.edu
AI in Education, Human-AI Interaction, K-12 AI Education, Collaborative Learning
Understanding human-human and human-AI interaction in CS/AI learning context, designing environments fostering effective progression and responsible use of AI and LLM

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Tiffany Barnes

Distinguished Professor @ North Carolina State University
tiffany.barnes@gmail.com Website: eliza.csc.ncsu.edu
Research: Data-driven ITS, AI in Ed, CS ed, broadening participation
Interests:

Democratizing CS and AI education,
Integrating classic ITS and new LLM capabilities

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XINYI HE

Title/Affiliation: PhD student - Beijing Normal University (China)
Email: eithyhe0611@gmail.com
Research interest:

online communities, knowledge sharing, learning analytics, Teachers’ AI literacy
Find strategies and applications to enhance knowledge sharing in online communities
Find methods and techniques to analyse knowledge sharing
Especially in the context of teacher’s AI literacy devleopment

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NAME

Title/Affiliation
Email and Website (optional)
Research Interests
What is one interesting research direction or topic you would like to explore further?

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GROUP SHARING

Please verbally introduce yourself (name, title, and institution), share what you would like to explore, and what you hope to gain from this workshop.