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All published works (26)

Action Title Date Authors
ABROCA Distributions For Algorithmic Bias Assessment: Considerations Around Interpretation 2025-02-21 Conrad Borchers Ryan S. Baker
Evaluating the Impact of Data Augmentation on Predictive Model Performance 2025-02-21 Valdemar Ć vĂĄbenskĂœ Conrad Borchers Elizabeth B. Cloude Atsushi Shimada
Does Multiple Choice Have a Future in the Age of Generative AI? A Posttest-only RCT 2025-02-21 Danielle R. Thomas Conrad Borchers Sanjit Kakarla Jionghao Lin Shambhavi Bhushan Boyuan Guo Erin Gatz Kenneth R. Koedinger
How Learner Control and Explainable Learning Analytics About Skill Mastery Shape Student Desires to Finish and Avoid Loss in Tutored Practice 2025-02-21 Conrad Borchers Jeroen Ooge Cindy Peng Vincent Aleven
Do Tutors Learn from Equity Training and Can Generative AI Assess It? 2025-02-21 Danielle R. Thomas Conrad Borchers Sanjit Kakarla Jionghao Lin Shambhavi Bhushan Boyuan Guo Erin Gatz Kenneth R. Koedinger
Combining Large Language Models with Tutoring System Intelligence: A Case Study in Caregiver Homework Support 2025-02-21 D. Venugopalan Z. Yan Conrad Borchers Jionghao Lin Vincent Aleven
Does the Doer Effect Generalize To Non-WEIRD Populations? Toward Analytics in Radio and Phone-Based Learning 2025-02-21 D Butler Conrad Borchers Michael W. Asher Y Lee Sonya Karnataki S. Dangi S Sudarshan Athreya John Stamper Amy Ogan Paulo F. Carvalho
An Integrated Platform for Studying Learning with Intelligent Tutoring Systems: CTAT+TutorShop 2025-01-17 Vincent Aleven Conrad Borchers Yun Huang Tomohiro Nagashima Bruce M. McLaren Paulo F. Carvalho Octav Popescu Jonathan Sewall Kenneth R. Koedinger
Augmenting Human-Annotated Training Data with Large Language Model Generation and Distillation in Open-Response Assessment 2025-01-15 Conrad Borchers Danielle R. Thomas Jionghao Lin Ralph Abboud Kenneth R. Koedinger
Data Augmentation for Sparse Multidimensional Learning Performance Data Using Generative AI 2025-01-01 Liang Zhang Jionghao Lin John Sabatini Conrad Borchers D. P. Weitekamp Meng Cao John Hollander Xiangen Hu Arthur C. Graesser
Data Augmentation for Sparse Multidimensional Learning Performance Data Using Generative AI 2024-09-23 Liang Zhang Jionghao Lin John Sabatini Conrad Borchers D. P. Weitekamp Meng Cao John Hollander Xiangen Hu Arthur C. Graesser
Gaining Insights into Group-Level Course Difficulty via Differential Course Functioning 2024-07-09 Frederik Baucks Robin Schmucker Conrad Borchers Zachary A. Pardos Laurenz Wiskott
Using Think-Aloud Data to Understand Relations between Self-Regulation Cycle Characteristics and Student Performance in Intelligent Tutoring Systems 2024-03-05 Conrad Borchers Jiayi Zhang Ryan S. Baker Vincent Aleven
Revealing Networks: Understanding Effective Teacher Practices in AI-Supported Classrooms using Transmodal Ordered Network Analysis 2024-03-05 Conrad Borchers Yeyu Wang Shamya Karumbaiah Muhammad H. Ashiq David Williamson Shaffer Vincent Aleven
Predicting Learning Performance with Large Language Models: A Study in Adult Literacy 2024-03-04 Liang Zhang Jionghao Lin Conrad Borchers John Sabatini John Hollander Meng Cao Xiangen Hu
Improving Assessment of Tutoring Practices using Retrieval-Augmented Generation 2024-02-04 Zifei Han Jionghao Lin Ashish Gurung Danielle R. Thomas Eason Chen Conrad Borchers Shivang Gupta Kenneth R. Koedinger
3DG: A Framework for Using Generative AI for Handling Sparse Learner Performance Data From Intelligent Tutoring Systems 2024-01-29 Liang Zhang Jionghao Lin Conrad Borchers Meng Cao Xiangen Hu
Facebook post data: a primer for educational research 2023-08-17 Conrad Borchers Joshua M. Rosenberg Rita M. Swartzentruber
What Makes Problem-Solving Practice Effective? Comparing Paper and AI Tutoring 2023-06-27 Conrad Borchers Paulo F. Carvalho Meng Xia Pinyang Liu Kenneth R. Koedinger Vincent Aleven
Insights into undergraduate pathways using course load analytics 2023-02-21 Conrad Borchers Zachary A. Pardos
Posts About Students on Facebook: A Data Ethics Perspective 2022-11-01 Joshua M. Rosenberg Conrad Borchers Macy A. Burchfield Daniel Anderson Sondra M. Stegenga Christian Fischer
When Sharing Isn't Caring: How Educational Institutions Share Students’ Personally Identifiable Information on Facebook 2022-03-18 Joshua M. Rosenberg Conrad Borchers Macy A. Burchfield Daniel Anderson Sondra M. Stegenga Christian S. Fischer
Posts About Students on Facebook: A Data Ethics Perspective 2022-02-02 Joshua M. Rosenberg Conrad Borchers Macy A. Burchfield Daniel Anderson Sondra M. Stegenga Christian Fischer
Facebook Post Data: A Primer for Educational Research 2022-01-12 Conrad Borchers Joshua M. Rosenberg Rita M. Swartzentruber
Looking for a Handsome Carpenter! Debiasing GPT-3 Job Advertisements 2022-01-01 Conrad Borchers Dalia Gala Benjamin Gilburt Eduard Oravkin Wilfried Bounsi Yuki M. Asano Hannah Rose Kirk
Looking for a Handsome Carpenter! Debiasing GPT-3 Job Advertisements 2022-01-01 Conrad Borchers Dalia Gala Benjamin Gilburt Eduard Oravkin Wilfried Bounsi Yuki M Asano Hannah Rose Kirk

Commonly Cited References

Action Title Date Authors # of times referenced
What Makes Problem-Solving Practice Effective? Comparing Paper and AI Tutoring 2023-06-27 Conrad Borchers Paulo F. Carvalho Meng Xia Pinyang Liu Kenneth R. Koedinger Vincent Aleven 2
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Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing 1995-01-01 Yoav Benjamini Yosef Hochberg 2
Big Questions for Social Media Big Data: Representativeness, Validity and Other Methodological Pitfalls 2014-05-16 Zeynep TĂŒfekçi 2
Can Large Language Models Make the Grade? An Empirical Study Evaluating LLMs Ability To Mark Short Answer Questions in K-12 Education 2024-07-09 Owen Henkel Libby Hills Adam Boxer Bill Roberts Zachary Levonian 2
Understanding controlled trials: Crossover trials 1998-06-06 Bonnie Sibbald Chris Roberts 1
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Outliers and influential data points in regression analysis. 1984-03-01 James P. Stevens 1
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Fast Implementation of DeLong’s Algorithm for Comparing the Areas Under Correlated Receiver Operating Characteristic Curves 2014-07-09 Xu Sun Weichao Xu 1
Misuse of DeLong test to compare AUCs for nested models 2012-03-13 Olga Demler Michael Pencina Ralph B. DÊŒAgostino 1
JIME - The Open Learning Initiative: Measuring the Effectiveness of the OLI Statistics Course in Accelerating Student Learning 2008-05-20 Marsha C. Lovett Oded Meyer Candace Thille 1
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Estimating student retention and degree‐completion time: Decision trees and neural networks vis‐à‐vis regression 2006-09-01 Serge Herzog 1
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IRT Model Selection Methods for Dichotomous Items 2007-06-12 Taehoon Kang Allan S. Cohen 1
SMOTE: Synthetic Minority Over-sampling Technique 2002-06-01 Nitesh V. Chawla Kevin W. Bowyer Lawrence Hall W. Philip Kegelmeyer 1
The Measurement of Observer Agreement for Categorical Data 1977-03-01 J. Richard Landis Gary G. Koch 1
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Comparing the Areas under Two or More Correlated Receiver Operating Characteristic Curves: A Nonparametric Approach 1988-09-01 Elizabeth R. DeLong David M. DeLong Daniel L. Clarke‐Pearson 1
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Linear and generalized linear mixed models 2015-01-29 Benjamin M. Bolker 1
Evaluation of Student Performance through a Multidimensional Finite Mixture IRT Model 2017-09-27 Silvia Bacci Francesco Bartolucci Leonardo Grilli Carla Rampichini 1
Transforming the Area under the Normal Curve (AUC) into Cohen’s d, Pearson’s r pb , Odds-Ratio, and Natural Log Odds-Ratio: Two Conversion Tables 2018-01-01 JesĂșs F. Salgado 1
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 2018-01-01 Jacob Devlin Ming‐Wei Chang Kenton Lee Kristina Toutanova 1
Goal-based Course Recommendation 2019-02-25 Weijie Jiang Zachary A. Pardos Qiang Wei 1
Attenuating Bias in Word Vectors 2019-01-01 Sunipa Dev Jeff M. Phillips 1
Mitigating Gender Bias in Natural Language Processing: Literature Review 2019-01-01 Tony Sun Andrew Gaut Shirlyn Tang Yuxin Huang Mai ElSherief Jieyu Zhao Diba Mirza Elizabeth Belding Kai-Wei Chang William Yang Wang 1
The What-If Tool: Interactive Probing of Machine Learning Models 2019-01-01 James Wexler Mahima Pushkarna Tolga Bolukbasi Martin Wattenberg Fernanda Viégas Jimbo Wilson 1
Extending a Parser to Distant Domains Using a Few Dozen Partially Annotated Examples 2018-01-01 Vidur Joshi Matthew E. Peters Mark Hopkins 1
Mitigating Unwanted Biases with Adversarial Learning 2018-12-27 Brian Hu Zhang Blake Lemoine Margaret Mitchell 1
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Mathematics as a factor in community college STEM performance, persistence, and degree attainment 2019-08-21 Richard Cohen Angela M. Kelly 1
Release Strategies and the Social Impacts of Language Models 2019-01-01 Irene Solaiman Miles Brundage Jack Clark Amanda Askell Ariel Herbert-Voss Jeff Wu Alec Radford Jasmine Wang 1
EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks 2019-01-01 Jason Wei Kai Zou 1
The Woman Worked as a Babysitter: On Biases in Language Generation 2019-01-01 Emily Sheng Kai-Wei Chang Prem Natarajan Nanyun Peng 1
Measuring Bias in Contextualized Word Representations 2019-01-01 Keita Kurita Nidhi Vyas Ayush Pareek Alan W. Black Yulia Tsvetkov 1
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Early Academic Momentum: Factors Contributing to Community College Transfer Students’ STEM Degree Attainment 2019-10-10 Yi Zhang 1
Academic Performance Estimation with Attention-based Graph Convolutional Networks 2020-01-01 Qian Hu Huzefa Rangwala 1
Deflating Dataset Bias Using Synthetic Data Augmentation 2020-06-01 Nikita Jaipuria Xianling Zhang Rohan Bhasin Mayar Arafa Punarjay Chakravarty Shubham Shrivastava Sagar Manglani Vidya N. Murali 1
Language (Technology) is Power: A Critical Survey of “Bias” in NLP 2020-01-01 Su Lin Blodgett Solon Barocas Hal DaumĂ© Hanna Wallach 1
Algorithmic fairness in education 2022-08-11 René F. Kizilcec Hansol Lee 1
Questioning the AI: Informing Design Practices for Explainable AI User Experiences 2020-04-21 Q. Vera Liao Daniel M. Gruen Sarah Miller 1
Multi-source and multimodal data fusion for predicting academic performance in blended learning university courses 2020-11-20 Wilson Chango Rebeca Cerezo CristĂłbal Romero 1
Gender Bias in Neural Natural Language Processing 2020-01-01 Kaiji Lu Piotr Mardziel Fang–Jing Wu Preetam Amancharla Anupam Datta 1
The power of feedback and reflection: Testing an online scenario-based learning intervention for student teachers 2021-04-02 Lisa Bardach Robert M. Klassen Tracy L. Durksen Jade V. Rushby Keiko C. P. Bostwick Lynn Sheridan 1
Mitigating Political Bias in Language Models through Reinforced Calibration 2021-05-18 Ruibo Liu Chenyan Jia Jason Wei Guangxuan Xu Lili Wang Soroush Vosoughi 1
Towards Equity and Algorithmic Fairness in Student Grade Prediction 2021-07-21 Weijie Jiang Zachary A. Pardos 1
Should College Dropout Prediction Models Include Protected Attributes? 2021-06-06 Renzhe Yu Hansol Lee René F. Kizilcec 1
Evaluating Large Language Models Trained on Code 2021-01-01 Mark Chen Jerry Tworek Heewoo Jun Qiming Yuan Henrique Pondé de Oliveira Pinto Jared Kaplan Harrison Edwards Yuri Burda Nicholas Joseph Greg Brockman 1
A Survey on Data Augmentation for Text Classification 2022-06-17 Markus Bayer Marc‐AndrĂ© Kaufhold Christian Reuter 1
SMOTified-GAN for Class Imbalanced Pattern Classification Problems 2022-01-01 Anurag Sharma Prabhat Kumar Singh Rohitash Chandra 1
On the Opportunities and Risks of Foundation Models 2021-01-01 Rishi Bommasani Drew A. Hudson Ehsan Adeli Russ B. Altman Simran Arora Sydney von Arx Michael S. Bernstein Jeannette Bohg Antoine Bosselut Emma Brunskill 1
Hi, my name is Martha: Using names to measure and mitigate bias in generative dialogue models 2021-01-01 Eric M. Smith Adina Williams 1
How Does Counterfactually Augmented Data Impact Models for Social Computing Constructs? 2021-01-01 Indira Sen Mattia Samory Fabian Flöck Claudia Wagner Isabelle Augenstein 1
A Prompt Array Keeps the Bias Away: Debiasing Vision-Language Models with Adversarial Learning 2022-01-01 Hugo Berg Siobhan Mackenzie Hall Yash Bhalgat Wonsuk Yang Hannah Rose Kirk Aleksandar Shtedritski Max Bain 1
Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model 2022-01-01 Shaden Smith Mostofa Patwary Brandon Norick Patrick LeGresley Samyam Rajbhandari Jared Casper Zhun Liu Shrimai Prabhumoye George Zerveas Vijay Anand Korthikanti 1
How do Teachers Use Open Learning Spaces? Mapping from Teachers’ Socio-spatial Data to Spatial Pedagogy 2022-03-10 Lixiang Yan Roberto Martínez‐Maldonado Linxuan Zhao Joanne Deppeler Deborah Corrigan Dragan Gǎsević 1