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Mingyu Feng
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2020 – today
- 2024
- [c33]Neil T. Heffernan, Rose E. Wang, Christopher MacLellan, Arto Hellas, Chenglu Li, Candace Walkington, Joshua Littenberg-Tobias, David Joyner, Steven Moore, Adish Singla, Zach A. Pardos, Maciej Pankiewicz, Juho Kim, Shashank Sonkar, Clayton Cohn, Anthony Botelho, Andrew Lan, Lan Jiang, Mingyu Feng, Tanja Käser, Eamon Worden:
Leveraging Large Language Models for Next-Generation Educational Technologies. EDM 2024 - [c32]Natalie Brezack
, Wynnie Chan
Student Effort and Progress Learning Analytics Data Inform Teachers' SEL Discussions in Math Class. LAK 2024: 338-348 - [c31]Mingyu Feng
Lessons Learned from a Research-to-Practice Scale-Up of an Adaptive Math Learning Platform. L@S 2024: 456-460 - [e3]Juan D. Pinto, Eamon Worden, Anthony Botelho, Lea Cohausz, Clayton Cohn, Mingyu Feng, Neil T. Heffernan, Arto Hellas, Lan Jiang, David Joyner, Tanja Käser, Juho Kim, Andrew Lan, Chenglu Li, Joshua Littenberg-Tobias, Qianhui Liu, Christopher MacLellan, Steven Moore, Maciej Pankiewicz, Luc Paquette, Zach A. Pardos, Anna N. Rafferty, Adish Singla, Shashank Sonkar, Vinitra Swamy, Rose E. Wang, Candace Walkington:
Joint Proceedings of the Human-Centric eXplainable AI in Education and the Leveraging Large Language Models for Next Generation Educational Technologies Workshops (HEXED-L3MNGET 2024) co-located with 17th International Conference on Educational Data Mining (EDM 2024), Atlanta, Georgia, USA, July 14, 2024. CEUR Workshop Proceedings 3840, CEUR-WS.org 2024 [contents] - 2023
- [j6]Shuai Wang
When adaptive learning is effective learning: comparison of an adaptive learning system to teacher-led instruction. Interact. Learn. Environ. 31(2): 793-803 (2023) - [c30]Mingyu Feng
Implementing and Evaluating ASSISTments Online Math Homework Support At large Scale over Two Years: Findings and Lessons Learned. AIED 2023: 28-40 - [c29]Mingyu Feng
Promising Long Term Effects of ASSISTments Online Math Homework Support. AIED (Posters/Late Breaking Results/...) 2023: 212-217 - [e2]Mingyu Feng, Tanja Käser, Partha P. Talukdar, Rakesh Agrawal, Y. Narahari, Mykola Pechenizkiy:
Proceedings of the 16th International Conference on Educational Data Mining, EDM 2023, Bengaluru, India, July 11-14, 2023. International Educational Data Mining Society 2023 [contents] - 2020
- [j5]Xinyu Li, Mingyu Feng
Robust distributed estimation based on a generalized correntropy logarithmic difference algorithm over wireless sensor networks. Signal Process. 177: 107731 (2020) - [c28]Shuai Wang
Identifying Gaps in Use of and Research on Adaptive Learning Systems. CSEDU (1) 2020: 118-124
2010 – 2019
- 2019
- [c27]Mingyu Feng
Using Exploratory Data Analysis to Support Implementation and Improvement of Education Technology Product. AIED (2) 2019: 79-83 - [c26]Shuai Wang
Learning from an Adaptive Learning System: Student Profiling among Middle School Students. CSEDU (1) 2019: 78-84 - 2018
- [c25]Mingyu Feng, Wei Cui, Shuai Wang
Adaptive Learning Goes to China. AIED (2) 2018: 89-93 - [c24]Haoyang Li, Wei Cui, Zhaohui Xu, Zhenyue Zhu, Mingyu Feng:
Yixue Adaptive Learning System and Its Promise on Improving Student Learning. CSEDU (2) 2018: 45-52 - [c23]Jeremy Roschelle, Phillip Herman, Karen Bumgardner, Nicole Shechtman, Mingyu Feng:
Teaching With a Fully Digital, Year-long Math Program: Learning Sciences Futures on the Front Line. ICLS 2018 - 2016
- [j4]Andrew E. Krumm, Rachel Beattie, Sola Takahashi, Cynthia M. D'Angelo, Mingyu Feng, Britte Cheng:
Practical Measurement and Productive Persistence: Strategies for Using Digital Learning System Data to Drive Improvement. J. Learn. Anal. 3(2): 116-138 (2016) - [c22]Mingyu Feng, Jeremy Roschelle, Craig Mason, Ruchi Bhanot:
Investigating Gender Difference on Homework in Middle School Mathematics. EDM 2016: 364-369 - [c21]Erica L. Snow, Andrew E. Krumm, Timothy E. Podkul, Mingyu Feng, Alex J. Bowers:
Quantifying How Students Use an Online Learning System: A Focus on Transitions and Performance. EDM 2016: 640-641 - [c20]Erika D. Tate, Mingyu Feng, Kevin W. McElhaney:
Designing the Idea Manager to Integrate STEM Content and Practices During a Technology-Based Inquiry Investigation. ICLS 2016 - [c19]Mingyu Feng, Andrew E. Krumm, Alex J. Bowers
Elaborating data intensive research methods through researcher-practitioner partnerships. LAK 2016: 540-541 - [c18]Mingyu Feng, Jeremy Roschelle
Predicting Students' Standardized Test Scores Using Online Homework. L@S 2016: 213-216 - [e1]Tiffany Barnes, Min Chi, Mingyu Feng:
Proceedings of the 9th International Conference on Educational Data Mining, EDM 2016, Raleigh, North Carolina, USA, June 29 - July 2, 2016. International Educational Data Mining Society (IEDMS) 2016 [contents] - 2015
- [c17]Andrew E. Krumm, Cynthia M. D'Angelo
Practical Measures of Learning Behaviors. L@S 2015: 327-330 - 2014
- [c16]Mingyu Feng:
Towards Uncovering the Mysterious World of Math Homework. EDM 2014: 425-426 - [c15]Angela Haydel DeBarger, Erika D. Tate, Yves Beauvineau, Mingyu Feng, Patricia K. Schank, Tamara Heck, Michelle Williams:
A Design Inquiry: Bridging Assessment and Curriculum Frameworks to Engage Students in Science Practices. ICLS 2014 - [c14]Mingyu Feng, Jeremy Roschelle, Robert F. Murphy, Neil T. Heffernan:
Using Analytics for Improving Implementation Fidelity in an Large Scale Efficacy Trial. ICLS 2014 - [c13]Mingyu Feng, Jeremy Roschelle
Implementation of an Intelligent Tutoring System for Online Homework Support in an Efficacy Trial. Intelligent Tutoring Systems 2014: 561-566 - 2011
- [c12]Mingyu Feng, Neil T. Heffernan, Zachary A. Pardos, Cristina Heffernan:
Comparing of Traditional Assessment with Dynamic Testing in a Tutoring System. EDM 2011: 295-300 - 2010
- [c11]Mingyu Feng, Neil T. Heffernan:
Can We Get Better Assessment From A Tutoring System Compared to Traditional Paper Testing? Can We Have Our Cake (Better Assessment) and Eat It too (Student Learning During the Test)? EDM 2010: 41-50 - [c10]Mingyu Feng, Neil T. Heffernan
Can We Get Better Assessment from a Tutoring System Compared to Traditional Paper Testing? Can We Have Our Cake (Better Assessment) and Eat It too (Student Learning during the Test)? Intelligent Tutoring Systems (2) 2010: 309-311 - [c9]Mingyu Feng, Neil T. Heffernan
Using Data Mining Findings to Aid Searching for Better Cognitive Models. Intelligent Tutoring Systems (2) 2010: 312-314
2000 – 2009
- 2009
- [j3]Mingyu Feng, Neil T. Heffernan
Using Mixed-Effects Modeling to Analyze Different Grain-Sized Skill Models in an Intelligent Tutoring System. IEEE Trans. Learn. Technol. 2(2): 79-92 (2009) - [j2]Leena M. Razzaq, Jozsef Patvarczki, Shane F. Almeida, Manasi Vartak, Mingyu Feng, Neil T. Heffernan
The ASSISTment Builder: Supporting the Life Cycle of Tutoring System Content Creation. IEEE Trans. Learn. Technol. 2(2): 157-166 (2009) - [j1]Mingyu Feng, Neil T. Heffernan
Addressing the assessment challenge with an online system that tutors as it assesses. User Model. User Adapt. Interact. 19(3): 243-266 (2009) - [c8]Mingyu Feng, Neil T. Heffernan
Using Learning Decomposition to Analyze Instructional Effectiveness in the ASSISTment System. AIED 2009: 523-530 - [c7]Mingyu Feng, Joseph Beck, Neil T. Heffernan:
Using Learning Decomposition and Bootstrapping with Randomization to Compare the Impact of Different Educational Interventions on Learning. EDM 2009: 51-60 - 2008
- [c6]Mingyu Feng, Joseph E. Beck, Neil T. Heffernan, Kenneth R. Koedinger:
Can an Intelligent Tutoring System Predict Math Proficiency as Well as a Standarized Test?. EDM 2008: 107-116 - [c5]Mingyu Feng, Neil T. Heffernan, Joseph E. Beck, Kenneth R. Koedinger:
Can we predict which groups of questions students will learn from?. EDM 2008: 218-225 - 2007
- [c4]Zachary A. Pardos, Mingyu Feng, Neil T. Heffernan, Cristina Linquist-Heffernan:
Analyzing Fine-Grained Skill Models Using Bayesian and Mixed Effects Methods. AIED 2007: 626-628 - [p1]Leena M. Razzaq, Mingyu Feng, Neil T. Heffernan
A Web-based Authoring Tool for Intelligent Tutors: Blending Assessment and Instructional Assistance. Intelligent Educational Machines 2007: 23-49 - 2006
- [c3]Mingyu Feng, Neil T. Heffernan, Kenneth R. Koedinger:
Predicting State Test Scores Better with Intelligent Tutoring Systems: Developing Metrics to Measure Assistance Required. Intelligent Tutoring Systems 2006: 31-40 - [c2]Mingyu Feng, Neil T. Heffernan
Addressing the testing challenge with a web-based e-assessment system that tutors as it assesses. WWW 2006: 307-316 - 2005
- [c1]Leena M. Razzaq, Mingyu Feng, Goss Nuzzo-Jones, Neil T. Heffernan, Kenneth R. Koedinger, Brian Junker, Steven Ritter, Andrea Knight, Edwin Mercado, Terrence E. Turner, Ruta Upalekar, Jason A. Walonoski, Michael A. Macasek, Christopher Aniszczyk, Sanket Choksey, Tom Livak, Kai P. Rasmussen:
Blending Assessment and Instructional Assisting. AIED 2005: 555-562
Coauthor Index
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