AIED TOKYO AIED2023

Best Papers

BEST STUDENT PAPER

Toni V. Earle-Randell, Joseph B. Wiggins, Julianna Martinez Ruiz, Mehmet Celepkolu, Kristy Elizabeth Boyer, Collin F. Lynch, Maya Israel, Eric Wiebe
Confusion, Conflict, Consensus: Modeling Dialogue Processes during Collaborative Learning with Hidden Markov Models

BEST PAPER

Napol Rachatasumrit, Paulo F., Sophie Li, Ken R. Koedinger
Content Matters: A Computational Investigation into the Effectiveness of Retrieval Practice and Worked Examples

BEST POSTER

Yuya Asano, Diane Litman, Mingzhi Yu, Nikki Lobczowski, Timothy Nokes-Malach, Adriana Kovashka, and Erin Walker
Impact of Experiencing Misrecognition by Teachable Agents on Learning and Rapport

BEST DEMO

Jionghao Lin, Danielle Thomas, Zifei Han, Wei Tan, Ngoc Dang Nguyen, Shivang Gupta, Ering Gatz, Cindy Tipper, Kenneth R. Koedinger
Personalized Learning Squared (PLUS): Doubling Math Learning through AI-assisted Tutoring

Best Paper (and Best Student Paper) nominees

  • Toni V. Earle-Randell, Joseph B. Wiggins, Julianna Martinez Ruiz, Mehmet Celepkolu, Kristy Elizabeth Boyer, Collin F. Lynch, Maya Israel, Eric Wiebe. Confusion, Conflict, Consensus: Modeling Dialogue Processes during Collaborative Learning with Hidden Markov Models
  • Napol Rachatasumrit, Paulo F., Sophie Li, and Kenneth R. Koedinger. Content Matters: A Computational Investigation into the Effectiveness of Retrieval Practice and Worked Examples
  • Keith Cochran, Clayton Cohn, Jean Francois Rouet, and Peter Hastings. Improving Automated Evaluation of Student Text Responses using GPT-3.5 for Text Data Augmentation
  • Mark Abdelshiheed, John Wesley Hostetter, Tiffany Barnes, and Min Chi. Leveraging Deep Reinforcement Learning for Metacognitive Interventions across Intelligent Tutoring Systems
  • Hiroaki Funayama, Yuya Asazuma, Yuichiroh Matsubayashi, Tomoya Mizumoto and Kentaro Inui. Reducing the Cost: Cross-Prompt Pre-Finetuning for Short Answer Scoring
  • Linxuan Zhao, Yuanru Tan, Dragan Gasevic, David Williamson Shaffer, Lixiang Yan, Riordan Alfredo, Xinyu Li, Roberto Martinez-Maldonado. Analysing Verbal Communication in Embodied Team Learning using Multimodal Data and Ordered Network Analysis
  • Mutlu Cukurova, Xin Miao and Richard Brooker. Adoption of Artificial Intelligence in Schools: Unveiling Factors Influencing Teachers’ Engagement
  • Yuko Okado, Benjamin D. Nye, Angelica Aguirre, and William Swartout. Can Virtual Agents Scale Up Mentoring?: Insights from College Students’ Experiences Using the CareerFair.ai Platform at an American Hispanic-Serving Institution

Best Posters nominees

  • Luca Benedetto. A quantitative study of NLP approaches to question difficulty estimation
  • Maciej Pankiewicz, Ryan Baker, Jaclyn Ocumpaugh. Using intelligent tutoring on the first steps of learning to program: affective and learning outcomes
  • Yuya Asano, Diane Litman, Mingzhi Yu, Nikki Lobczowski, Timothy Nokes-Malach, Adriana Kovashka, and Erin Walker. Impact of Experiencing Misrecognition by Teachable Agents on Learning and Rapport
  • Daneih Ismail and Peter Hastings. Emotionally Adaptive Intelligent Tutoring System To Reduce Foreign Language Anxiety
  • Jon Echeverría, Olga C. Santos. Towards analyzing psychomotor group activity for collaborative teaching using neural networks
  • John Sabatini and John Hollander. Using simple text mining tools to power an intelligent learning system for lengthy, domain specific texts