Educational NLP at EDM 2022

3 minute read


Topics: automated item generation (AIG) automated short answer grading (ASAG) assessment automated writing evaluation (AWE) complexity dialogue discourse feedback information-extraction language-learning math programming readability reading-comprehension speech vocabulary-acquisition

Best Student Full Paper

  • Predicting Reading Comprehension Scores of Elementary School Students. Bruce (Yuyang) Nie, Hélène Deacon, Alona Fyshe, Carrie Demmans Epp [paper] reading-comprehension

Best Short Paper

  • The AI Teacher Test: Measuring the Pedagogical Ability of Blender and GPT-3 in Educational Dialogues. Anaïs Tack, Chris Piech [paper] dialogue language-learning math

Long Papers

  • Insta-Reviewer: A Data-Driven Approach for Generating Instant Feedback on Students’ Project Reports. Qinjin Jia, Mitchell Young, Yunkai Xiao, Jialin Cui, Chengyuan Liu, Parvez Rashid, Edward Gehringer [paper] feedback
  • Building a Reinforcement Learning Environment from Limited Data to Optimize Teachable Robot Interventions. Tristan Maidment, Mingzhi Yu, Nikki Lobczowski, Adriana Kovashka, Erin Walker, Diane Litman, Timothy Nokes-Malach [paper] dialogue
  • Automatic Short Math Answer Grading via In-context Meta-learning. Mengxue Zhang, Sami Baral, Neil Heffernan, Andrew Lan [paper] automated short answer grading (ASAG) math
  • Going Deep and Far: Gaze-based Models Predict Multiple Depths of Comprehension During and One Week Following Reading. Megan J. Caruso, Candace E. Peacock, Rosy Southwell, Guojing Zhou, Sidney K. D’Mello [paper] reading-comprehension

  • Individual Fairness Evaluation for Automated Essay Scoring System. Afrizal Doewes, Akrati Saxena, Yulong Pei, Mykola Pechenizkiy [paper] automated writing evaluation (AWE)
  • Challenges and Feasibility of Automatic Speech Recognition for Modeling Student Collaborative Discourse in Classrooms. Rosy Southwell, Samuel Pugh, E. Margaret Perkoff, Charis Clevenger, Jeffrey Bush, Rachel Lieber, Wayne Ward, Peter Foltz, Sidney D’Mello [paper] speech

Short Papers

  • Improving problem detection in peer assessment through pseudo-labeling using semi-supervised learning. Chengyuan Liu, Jialin Cui, Ruixuan Shang, Yunkai Xiao, Qinjin Jia, Edward Gehringer [paper] feedback
  • Grade Prediction via Prior Grades and Text Mining on Course Descriptions: Course Outlines and Intended Learning Outcomes. Jiawei Li, S. Supraja, Wei Qiu, Andy W. H. Khong [paper] assessment
  • Modeling One-on-one Online Tutoring Discourse using an Accountable Talk Framework. Renu Balyan, Tracy Arner, Karen Taylor, Jinnie Shin, Michelle Banawan, Walter Leite, Danielle McNamara [paper] dialogue math
  • Using Markov Models and Random Walks to Examine Strategy Use of More or Less Successful Comprehenders. Katerina Christhilf, Natalie Newton, Reese Butterfuss, Kathryn S. McCarthy, Laura K. Allen, Joseph P. Magliano, Danielle S. McNamara [paper] reading-comprehension
  • No Meaning Left Unlearned: Predicting Learners’ Knowledge of Atypical Meanings of Words from Vocabulary Tests for Their Typical Meanings. Yo Ehara [paper] vocabulary-acquisition
  • Going beyond “Good Job”: Analyzing Helpful Feedback from the Student’s Perspective. M Parvez Rashid, Yunkai Xiao, Edward F. Gehringer [paper] feedback


  • Linguistic Profiles of Students Interacting with Conversation-Based Assessment Systems. Carol M. Forsyth, Jesse R. Sparks, Jonathan Steinberg & Laura McCulla [paper] dialogue
  • Improved Automated Essay Scoring using Gaussian Multi-Class SMOTE for Dataset Sampling. Jih Soong Tan, Ian K. T. Tan, Lay Ki Soon, Huey Fang Ong [paper] automated writing evaluation (AWE)
  • A Topic-Centric Crowdsourced Assisted Biomedical Literature Review Framework for Academics. Ryan Hodgson, Jingyun Wang, Alexandra Cristea, Fumiko Matsuzaki, Hiroyuki Kubota [paper]
  • A deep reinforcement learning approach to automatic formative feedback. Aubrey Condor, Zachary Pardos paper automated short answer grading (ASAG) feedback
  • Preliminary Experiments with Transformer based Approaches To Automatically Inferring Domain Models from Textbooks. Rabin Banjade, Priti Oli, Lasang Jimba Tamang, Vasile Rus [paper] information-extraction
  • Leveraging Auxiliary Data from Similar Problems to Improve Automatic Open Response Scoring. Raysa Rivera-Bergollo, Sami Baral, Anthony Botelho, Neil Heffernan [paper] assessment
  • Format-Aware Item Response Theory for Predicting Vocabulary Proficiency. Boxuan Ma, Gayan Prasad Hettiarachchi, Yuji Ando [paper] vocabulary-acquisition
  • Towards Automated Generation and Evaluation of Questions in Educational Domains. Shravya Bhat, Huy Nguyen, Steven Moore, John Stamper, Majd Sakr, Eric Nyberg [paper] automated item generation (AIG)
  • MOOC-Rec: Instructional Video Clip Recommendation for MOOC Forum Questions. Peide Zhu, Claudia Hauff, Jie Yang [paper] information-extraction
  • Do College Students Learn Math the Same Way as Middle School Students? On the Transferability of Findings on Within-Problem Supports in Intelligent Tutoring Systems. Michael Smalenberger, Kelly Smalenberger [paper] feedback math
  • Recommendation System of Mobile Language Learning Applications: Similarity versus Diversity in Learner Preference. Juyeong Song, Kisu Yang, Hyeji Jang, Hyo-Jeong So [paper] language-learning
  • Selecting Reading Texts Suitable for Incidental Vocabulary Learning by Considering the Estimated Distribution of Acquired Vocabulary. Yo Ehara [paper] vocabulary-acquisition

Doctoral Consortium

  • Identifying Explanations Within Student-Tutor Chat Logs. Ethan Prihar, Alexander Moore, Neil Heffernan [paper] dialogue math
  • Improving Automated Assessment and Feedback for Student Open-responses in Mathematics. Sami Baral [paper] assessment feedback