Research
Research
Publications
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Educational Equity Through Combined Human-AI Personalization: A Propensity Matching Evaluation.
In International Conference on Artificial Intelligence in Education. Springer, Cham.
Danielle R. Chine, Cassandra Brentley, Carmen Thomas-Browne, J. Elizabeth Richey, Abdulmenaf Gul, Paulo F. Carvalho,Lee Branstetter, and Kenneth R. Koedinger
2022
Personalized Learning Squared (PLUS): Doubling Math Learning through AI-assisted Tutoring
AIED 2023 workshop - Towards the Future of AI-augmented Human Tutoring in Math Learning
Jionghao Lin, Danielle Thomas, Zifei Han, Wei Tan, Ngoc Dang Nguyen, Shivang Gupta, Erin Gatz, Cindy Tipper , Kenneth R. Koedinger
2023
Comparative Analysis of GPT-4 and Human Graders in Evaluating Human Tutors Giving Praise to Students
AIED 2023 workshop - Towards the Future of AI-augmented Human Tutoring in Math Learning
Dollaya Hirunyasiri, Danielle R. Thomas, Jionghao Lin, Kenneth R. Koedinger,and Vincent Aleven
2023
Using Large Language Models to Provide Explanatory Feedback to Human Tutors
AIED 2023 workshop - Towards the Future of AI-augmented Human Tutoring in Math Learning
Jionghao Lin, Danielle R. Thomas, Feifei Han, Shivang Gupta, Wei Tan,Ngoc Dang Nguyen, and Kenneth R. Koedinger
2023
Towards the Future of AI-Augmented Human Tutoring in Math Learning.
International Conference on Artificial Intelligence in Education (AIED), 2023
Vincent Aleven, Richard Baraniuk, Emma Brunskill, Scott Crossley, Dora Demszky, Stephen Fancsali, Shivang Gupta, Kenneth Koedinger, Chris Piech, Steve Ritter, Danielle R. Thomas, Simon Woodhead & Wanli Xing
06/30/2023
Comparative Analysis of Learnersourced Human-Graded and AI-Generated Responses for Autograding Online Tutor Lessons.
International Conference on Artificial Intelligence in Education (AIED), 2023
Danielle R. Thomas, Shivang Gupta & Kenneth R. Koedinger
06/30/2023
When the Tutor Becomes the Student: Design and Evaluation of Efficient Scenario-based Lessons for Tutors.
13th International Learning Analytics and Knowledge Conference (LAK 2023), March 13–17, 2023, Arlington, TX, USA. ACM, New York, NY, USA
Danielle R. Thomas, Xinyu Yang, Shivang Gupta, Adetunji Adeniran, Elizabeth A. Mclaughlin, Kenneth R. Koedinger
2023
Educational Equity Through Combined Human-AI Personalization: A Propensity Matching Evaluation.
In International Conference on Artificial Intelligence in Education. Springer, Cham.
Danielle R. Chine, Cassandra Brentley, Carmen Thomas-Browne, J. Elizabeth Richey, Abdulmenaf Gul, Paulo F. Carvalho,Lee Branstetter, and Kenneth R. Koedinger
2022
Personalized Learning Squared (PLUS): Doubling Math Learning through AI-assisted Tutoring
AIED 2023 workshop - Towards the Future of AI-augmented Human Tutoring in Math Learning
Jionghao Lin, Danielle Thomas, Zifei Han, Wei Tan, Ngoc Dang Nguyen, Shivang Gupta, Erin Gatz, Cindy Tipper , Kenneth R. Koedinger
2023
Comparative Analysis of GPT-4 and Human Graders in Evaluating Human Tutors Giving Praise to Students
AIED 2023 workshop - Towards the Future of AI-augmented Human Tutoring in Math Learning
Dollaya Hirunyasiri, Danielle R. Thomas, Jionghao Lin, Kenneth R. Koedinger,and Vincent Aleven
2023
Using Large Language Models to Provide Explanatory Feedback to Human Tutors
AIED 2023 workshop - Towards the Future of AI-augmented Human Tutoring in Math Learning
Jionghao Lin, Danielle R. Thomas, Feifei Han, Shivang Gupta, Wei Tan,Ngoc Dang Nguyen, and Kenneth R. Koedinger
2023
Towards the Future of AI-Augmented Human Tutoring in Math Learning.
International Conference on Artificial Intelligence in Education (AIED), 2023
Vincent Aleven, Richard Baraniuk, Emma Brunskill, Scott Crossley, Dora Demszky, Stephen Fancsali, Shivang Gupta, Kenneth Koedinger, Chris Piech, Steve Ritter, Danielle R. Thomas, Simon Woodhead & Wanli Xing
06/30/2023
Comparative Analysis of Learnersourced Human-Graded and AI-Generated Responses for Autograding Online Tutor Lessons.
International Conference on Artificial Intelligence in Education (AIED), 2023
Danielle R. Thomas, Shivang Gupta & Kenneth R. Koedinger
06/30/2023
When the Tutor Becomes the Student: Design and Evaluation of Efficient Scenario-based Lessons for Tutors.
13th International Learning Analytics and Knowledge Conference (LAK 2023), March 13–17, 2023, Arlington, TX, USA. ACM, New York, NY, USA
Danielle R. Thomas, Xinyu Yang, Shivang Gupta, Adetunji Adeniran, Elizabeth A. Mclaughlin, Kenneth R. Koedinger
2023
Personalized Learning ²: A Human Mentoring and AI Tutoring Platform Ensuring Equity Interactive Event.
23rd International Conference on Artificial Intelligence in Education, Durham, UK July 27-31, 2022
Danielle R. Chine, Shivang Gupta, Kenneth R. Koedinger
2022
Designing for Human–AI Complementarity in K-12 Education.
AI Magazine, Volume 43, Issue 2 (pp. 239-248)
Holstein, Kenneth & Aleven, Vincent
2022
An Evaluation of Perceptions Regarding Mentor Competencies for Technology-based Personalized Learning.
In E. Langran (Ed.), Proceedings of Society for Information Technology & Teacher Education International Conference (pp. 1812-1817). San Diego, CA, United States: Association for the Advancement of Computing in Education (AACE).
Pallavi Chhabra, Danielle R. Chine, Adetunji Adeniran,Shivang Gupta, Kenneth R. Koedinger
2022
Development of Scenario-based Mentor Lessons: An Iterative Design Process for Training at Scale.
In Proceedings of the Ninth ACM Conference on Learning@Scale.
Danielle R. Chine, Pallavi Chhabra, Adetunji Adeniran, Shivang Gupta, Kenneth R. Koedinger
2022
Scenario-based Training and On-the-Job Support for Equitable Mentoring.
15th Annual The Learning Ideas Conference, NY June 15-17, 2022, Virtual
Danielle R. Chine, Pallavi Chhabra, Adetunji Adeniran, Joseph Kopko, Cindy Tipper, Shivang Gupta, Kenneth R. Koedinger
2022
Computer-supported human mentoring for personalized and equitable math learning.
Proceedings of the 22nd International Conference on Artificial Intelligence in Education.
Peter Schaldenbrand, Nikki G. Lobczowski , J. Elizabeth Richey ,Shivang Gupta, Elizabeth A. McLaughlin , Adetunji Adeniran ,and Kenneth R. Koedinger
2022
Supporting Mentoring and Math Instruction with AI Software.
Pennsylvania Statewide STEM Ecosystem (PSSE) Working Group, Virtual
Presenters: Shivang Gupta & Danielle R. Chine
2022
Interactions with peers on the path to math success.
Proceedings of the International Society of the Learning Sciences.
Nikki G. Lobczowski, Elise Morton, J. Elizabeth Richey, Kevin Jarbo, Kenneth R. Koedinger
2021
Student-Teacher Relationships Drive Student Help-Seeking from Teachers for Math Learning Challenges.
2021 annual meeting of the European Association of Research on Learning and Instruction (EARLI), Virtual
Kevin Jarbo, Nikki G. Lobczowsi, J. Elizabeth Richey, Elise Morton & Ken Koedinger
2021
Perceptions of Preparedness and Success Inform Undergraduates' Feelings of Belonging.
2021 annual meeting of the European Association of Research on Learning and Instruction (EARLI), Virtual
J. Elizabeth Richey, Nikki G. Lobczowsi, Kevin Jarbo, Elise Morton & Ken Koedinger
2021
A narrative inquiry of critical moments in students' paths to math success.
2021 annual meeting of the American Education Research Association (AERA), Virtual
Nikki G. Lobczowski, Kevin Jarbo, J. Elizabeth Richey, Elise Morton, Kenneth Koedinger
2021
Comprehensive views of math learners: A case for modeling and supporting non-math factors in adaptive math software.
Artificial Intelligence in Education, 21st International Conference AIED 2020, Volume 1 (pp. 460-471).
J. Elizabeth Richey , Nikki G. Lobczowski , Paulo F. Carvalho ,and Kenneth Koedinger
2020
Building strategies for a personalized learning mentor app: A design case.
2020 annual meeting of the American Education Research Association (AERA), San Francisco. (Conference canceled)
Nikki G. Lobczowski, J. Elizabeth Richey, Patricia Yu, Laruen Herckis, Kenny Donaldson, Lee Branstetter, Kenneth R. Koedinger
2020
Related Research by Our Team
An astonishing regularity in student learning rate
Proceedings of the National Academy of Sciences
Kenneth R. Koedingera,1, Paulo F. Carvalhoa, Ran Liub, and Elizabeth A. McLaughlin
3/20/23
Designing Hybrid Human-AI Orchestration Tools for Individual and Collaborative activities: A Technology Probe Study
IEEE Transactions on Learning Technologies pp191-205
Vanessa Echeverria, Kexin Yang, LuEttaMae Lawrence, Nikol Rummel, Vincent Aleven
2/23/23
Pair-Up: Prototyping Human-AI Co-orchestration of Dynamic Transitions between Individual and Collaborative Learning in the Classroom
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems pp1-17
Kexin Bella Yang, Vanessa Echeverria, Zijing Lu, Hongyu Mao, Kenneth Holstein, Nikol Rummel, Vincent Aleven
2/23/23
Robust Educational Dialogue Act Classifiers with Low-Resource and Imbalanced Datasets
AIED 2023: Artificial Intelligence in Education pp 114–125
Jionghao Lin, Wei Tan, Ngoc Dang Nguyen, David Lang, Lan Du, Wray Buntine, Richard Beare, Guanliang Chen & Dragan Gašević
6/23/23
Does Informativeness Matter? Active Learning for Educational Dialogue Act Classification
AIED 2023: Artificial Intelligence in Education pp 176–188
Wei Tan, Jionghao Lin, David Lang, Guanliang Chen, Dragan Gašević, Lan Du & Wray Buntine
6/23/23
