Works (53)

Updated: March 29th, 2024 10:14

2023 journal article

Healthful Connected Living: Vision and Challenges for the Case of Obesity

IEEE INTERNET COMPUTING, 27(3), 7โ€“14.

By: M. Singh nโ€‰, M. Chi n & V. Misra nโ€‰

co-author countries: United States of America ๐Ÿ‡บ๐Ÿ‡ธ
author keywords: Sensors; Obesity; Heart rate variability; Biomedical monitoring; Artificial intelligence; Temperature measurement; Psychology
Sources: Web Of Science, ORCID
Added: May 11, 2023

2023 journal article

How and When: The Impact of Metacognitive Knowledge Instruction and Motivation on Transfer Across Intelligent Tutoring Systems

International Journal of Artificial Intelligence in Education, 9.

By: M. Abdelshiheed nโ€‰, T. Barnes n & M. Chi n

co-author countries: United States of America ๐Ÿ‡บ๐Ÿ‡ธ
author keywords: Metacognitive knowledge; Motivation; Metacognitive interventions; Transfer; Intelligent tutoring systems
Sources: Web Of Science, ORCID, Crossref
Added: October 23, 2023

2023 journal article

Investigating the Impact of Backward Strategy Learning in a Logic Tutor: Aiding Subgoal Learning Towards Improved Problem Solving

International Journal of Artificial Intelligence in Education, 8.

By: P. Shabrina n, B. Mostafavi n, M. Abdelshiheed nโ€‰, M. Chi n & T. Barnes n

co-author countries: United States of America ๐Ÿ‡บ๐Ÿ‡ธ
author keywords: Subgoal; Logic tutor; Intelligent tutor systems; Backward strategy; Forward strategy
Sources: Web Of Science, ORCID, Crossref
Added: September 5, 2023

2023 article

Latent Space Encoding for Interpretable Fuzzy Logic Rules in Continuous and Noisy High-Dimensional Spaces

2023 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, FUZZ.

By: J. Hostetter n & M. Chi n

co-author countries: United States of America ๐Ÿ‡บ๐Ÿ‡ธ
Source: Web Of Science
Added: February 12, 2024

2023 article proceedings

Leveraging Fuzzy Logic Towards More Explainable Reinforcement Learning-Induced Pedagogical Policies on Intelligent Tutoring Systems

Presented at the 2023 IEEE International Conference on Fuzzy Systems (FUZZ).

By: J. Hostetter n, M. Abdelshiheed nโ€‰, T. Barnes n & M. Chi n

co-author countries: United States of America ๐Ÿ‡บ๐Ÿ‡ธ

Event: 2023 IEEE International Conference on Fuzzy Systems (FUZZ)

Sources: Web Of Science, Crossref, ORCID
Added: December 6, 2023

2023 journal article

TC-DTW: Accelerating multivariate dynamic time warping through triangle inequality and point clustering

INFORMATION SCIENCES, 621, 611โ€“626.

By: D. Shen* & M. Chi n

co-author countries: United States of America ๐Ÿ‡บ๐Ÿ‡ธ
Source: Web Of Science
Added: January 17, 2023

2023 article

Time-aware deep reinforcement learning with multi-temporal abstraction

Kim, Y. J., & Chi, M. (2023, March 25). APPLIED INTELLIGENCE.

By: Y. Kim n & M. Chi n

co-author countries: United States of America ๐Ÿ‡บ๐Ÿ‡ธ
author keywords: Time-aware; Temporal abstraction; Deep reinforcement learning; Irregular time series; RL for real-world applications; Nuclear reactor control; Sepsis treatment
Source: Web Of Science
Added: April 11, 2023

2023 conference paper

XAI to Increase the Effectiveness of an Intelligent Pedagogical Agent

Proceedings of the 23rd ACM International Conference on Intelligent Virtual Agents. (IVAโ€™23). Presented at the 23rd ACM International Conference on Intelligent Virtual Agents. (IVAโ€™23), Wรผrzburg, Germany.

By: J. Hostetter n, C. Conatiโ€‰*, X. Yang n, M. Abdelshiheed nโ€‰, T. Barnes n & M. Chi n

co-author countries: Canada ๐Ÿ‡จ๐Ÿ‡ฆ United States of America ๐Ÿ‡บ๐Ÿ‡ธ

Event: 23rd ACM International Conference on Intelligent Virtual Agents. (IVAโ€™23) at Wรผrzburg, Germany on September 19-22, 2023

Sources: Web Of Science, NC State University Libraries, ORCID
Added: December 17, 2023

2022 article

Enhancing a student productivitymodel for adaptive problem-solving assistance

Maniktala, M., Chi, M., & Barnes, T. (2022, August 3). USER MODELING AND USER-ADAPTED INTERACTION.

By: M. Maniktala n, M. Chi n & T. Barnes n

co-author countries: United States of America ๐Ÿ‡บ๐Ÿ‡ธ
author keywords: Adaptive support; Student modeling; Assistance dilemma; Unproductivity; Data-driven tutoring; Propositional logic
Source: Web Of Science
Added: August 15, 2022

2022 chapter book

Mixing Backward- with Forward-Chaining forย Metacognitive Skill Acquisition andย Transfer

By: M. Abdelshiheed nโ€‰, J. Hostetterโ€‰ n, X. Yang n, T. Barnes n & M. Chi n

co-author countries: United States of America ๐Ÿ‡บ๐Ÿ‡ธ

Event: Springer International Publishing

author keywords: Strategy awareness; Time awareness; Metacognitive skill instruction; Preparation for future learning; Backward chaining
Sources: Web Of Science, ORCID, Crossref
Added: November 21, 2022

2022 article

Reconstructing Missing EHRs Using Time-Aware Within- and Cross-Visit Information for Septic Shock Early Prediction

2022 IEEE 10TH INTERNATIONAL CONFERENCE ON HEALTHCARE INFORMATICS (ICHI 2022), pp. 151โ€“162.

By: G. Gao n, F. Khoshnevisan* & M. Chi n

co-author countries: United States of America ๐Ÿ‡บ๐Ÿ‡ธ
author keywords: Electronic Health Records(EHRs); EHRs Imputation; Septic Shock Early Prediction
Source: Web Of Science
Added: October 31, 2022

2022 article

Student-Tutor Mixed-Initiative Decision-Making Supported by Deep Reinforcement Learning

ARTIFICIAL INTELLIGENCE IN EDUCATION, PT I, Vol. 13355, pp. 440โ€“452.

By: S. Ju n, . Yangโ€‰ n, T. Barnes n & M. Chi n

co-author countries: United States of America ๐Ÿ‡บ๐Ÿ‡ธ
author keywords: Critical decisions; Reinforcement learning; Student choice
Source: Web Of Science
Added: November 21, 2022

2022 article

The Impact of Batch Deep Reinforcement Learning on Student Performance: A Simple Act of Explanation Can Go A Long Way

Ausin, M. S., Maniktala, M., Barnes, T., & Chi, M. (2022, November 28). INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE IN EDUCATION.

co-author countries: United States of America ๐Ÿ‡บ๐Ÿ‡ธ
author keywords: Deep reinforcement learning; Pedagogical policy; Explanation
Sources: Web Of Science, ORCID
Added: November 29, 2022

2021 journal article

A Theoretical and Evidence-Based Conceptual Design of MetaDash: An Intelligent Teacher Dashboard to Support Teachers' Decision Making and Studentsโ€™ Self-Regulated Learning

Frontiers in Education, 6.

co-author countries: United States of America ๐Ÿ‡บ๐Ÿ‡ธ
author keywords: self-regulated learning (SRL); teacher decision making; learning; multimodal data; teacher dashboards
Sources: Web Of Science, ORCID, Crossref
Added: August 23, 2021

2021 article

Avoiding Help Avoidance: Using Interface Design Changes to Promote Unsolicited Hint Usage in an Intelligent Tutor (September, 10.1007/s40593-020-00213-3, 2020)

Maniktala, M., Cody, C., Barnes, T., & Chi, M. (2021, March). INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE IN EDUCATION, Vol. 31, pp. 154โ€“155.

By: M. Maniktala n, C. Cody n, T. Barnes n & M. Chi n

co-author countries: United States of America ๐Ÿ‡บ๐Ÿ‡ธ
Source: Web Of Science
Added: December 21, 2020

2021 article

Data to Donations: Towards In-Kind Food Donation Prediction across Two Coasts

2021 IEEE GLOBAL HUMANITARIAN TECHNOLOGY CONFERENCE (GHTC), pp. 281โ€“288.

By: E. Sharma n, L. Davisโ€‰*, J. Ivy n & M. Chi n

co-author countries: United States of America ๐Ÿ‡บ๐Ÿ‡ธ
author keywords: Food Insecurity; Humanitarian Supply Chain; Bayesian Structural Time Series; Long Short Term Memory; Training Length; Expanding and Sliding Window
Source: Web Of Science
Added: March 28, 2022

2021 chapter book

Evaluating Critical Reinforcement Learning Framework in the Field

By: S. Ju n, G. Zhou n, M. Abdelshiheed nโ€‰, T. Barnes n & M. Chi n

co-author countries: United States of America ๐Ÿ‡บ๐Ÿ‡ธ

Event: Springer International Publishing

author keywords: Critical decisions; Reinforcement learning; ITS
Sources: Web Of Science, ORCID, Crossref
Added: November 28, 2022

2021 article

InferNet for Delayed Reinforcement Tasks: Addressing the Temporal Credit Assignment Problem

2021 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), pp. 1337โ€“1348.

By: M. Ausinโ€‰ n, H. Azizsoltani n, S. Ju n, Y. Kim n & M. Chi n

co-author countries: United States of America ๐Ÿ‡บ๐Ÿ‡ธ
author keywords: Credit Assignment Problem; Deep Reinforcement Learning
Source: Web Of Science
Added: July 5, 2022

2021 article

Leveraging Granularity: Hierarchical Reinforcement Learning for Pedagogical Policy Induction

Zhou, G., Azizsoltani, H., Ausin, M. S., Barnes, T., & Chi, M. (2021, August 16). INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE IN EDUCATION, Vol. 8.

co-author countries: United States of America ๐Ÿ‡บ๐Ÿ‡ธ
author keywords: Hierarchical reinforcement learning; Decision granularity; Pedagogical policy
Sources: Web Of Science, ORCID
Added: August 23, 2021

2021 article

Multi-Temporal Abstraction with Time-Aware Deep Q-Learning for Septic Shock Prevention

2021 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), pp. 1657โ€“1663.

By: Y. Kim n, M. Ausinโ€‰ n & M. Chi n

co-author countries: United States of America ๐Ÿ‡บ๐Ÿ‡ธ
author keywords: deep reinforcement learning; time-aware; temporal abstraction; sepsis
Source: Web Of Science
Added: July 5, 2022

2021 article

Tackling the Credit Assignment Problem in Reinforcement Learning-Induced Pedagogical Policies with Neural Networks

ARTIFICIAL INTELLIGENCE IN EDUCATION (AIED 2021), PT I, Vol. 12748, pp. 356โ€“368.

co-author countries: United States of America ๐Ÿ‡บ๐Ÿ‡ธ
author keywords: Pedagogical agent; Credit assignment problem; Deep reinforcement learning
Sources: Web Of Science, ORCID
Added: June 16, 2021

2021 article

The Impact of Looking Further Ahead: A Comparison of Two Data-driven Unsolicited Hint Types on Performance in an Intelligent Data-driven Logic Tutor

Cody, C., Maniktala, M., Lytle, N., Chi, M., & Barnes, T. (2021, May 21). INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE IN EDUCATION.

co-author countries: United States of America ๐Ÿ‡บ๐Ÿ‡ธ
author keywords: Tutoring system; Hints; Assistance; Data-driven methods
Source: Web Of Science
Added: June 10, 2021

2021 article

To Reduce Healthcare Workload: Identify Critical Sepsis Progression Moments through Deep Reinforcement Learning

2021 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), pp. 1640โ€“1646.

By: S. Ju n, Y. Kim n, M. Ausinโ€‰ n, M. Mayorga nโ€‰ & M. Chi n

co-author countries: United States of America ๐Ÿ‡บ๐Ÿ‡ธ
author keywords: Reinforcement Learning; Sepsis; Critical Decision
Sources: Web Of Science, ORCID
Added: July 5, 2022

2021 article

Unifying Domain Adaptation and Domain Generalization for Robust Prediction Across Minority Racial Groups

MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, Vol. 12975, pp. 521โ€“537.

By: F. Khoshnevisan* & M. Chi n

co-author countries: United States of America ๐Ÿ‡บ๐Ÿ‡ธ
author keywords: Domain adaptation; Domain generalization; Cross-racial transfer; Septic shock
Source: Web Of Science
Added: November 15, 2021

2020 article

An Adversarial Domain Separation Framework for Septic Shock Early Prediction Across EHR Systems

2020 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), pp. 64โ€“73.

By: F. Khoshnevisan n & M. Chi n

co-author countries: United States of America ๐Ÿ‡บ๐Ÿ‡ธ
author keywords: adversarial domain adaptation variational RNN; Electronic health Record; septic shock; early prediction
Source: Web Of Science
Added: July 26, 2021

2020 article

An Initial Study on Adapting DTW at Individual Query for Electrocardiogram Analysis

ADVANCED ANALYTICS AND LEARNING ON TEMPORAL DATA, AALTD 2019, Vol. 11986, pp. 213โ€“228.

By: D. Shen & M. Chi n

co-author countries: United States of America ๐Ÿ‡บ๐Ÿ‡ธ
author keywords: DTW; Time series analytics; Algorithm optimizations; Electrocardiogram
Source: Web Of Science
Added: June 21, 2021

2020 journal article

Avoiding Help Avoidance: Using Interface Design Changes to Promote Unsolicited Hint Usage in an Intelligent Tutor

INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE IN EDUCATION, 30(4), 637โ€“667.

By: M. Maniktala n, C. Cody n, T. Barnes n & M. Chi n

co-author countries: United States of America ๐Ÿ‡บ๐Ÿ‡ธ
author keywords: Intelligent tutoring system; Help avoidance; User experience; Unsolicited hints; Aptitude-treatment interaction; Logic proofs; Productive persistence; Clustering; problem solving
Source: Web Of Science
Added: November 9, 2020

2020 journal article

Going deeper: Automatic short-answer grading by combining student and question models

USER MODELING AND USER-ADAPTED INTERACTION, 30(1), 51โ€“80.

By: Y. Zhang n, C. Lin n & M. Chi n

co-author countries: United States of America ๐Ÿ‡บ๐Ÿ‡ธ
author keywords: Automatic short-answer grading; Machine learning; Deep belief network
Source: Web Of Science
Added: March 30, 2020

2020 article

MuLan: Multilevel Language-based Representation Learning for Disease Progression Modeling

2020 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), pp. 1246โ€“1255.

By: H. Sohn n, K. Park n & M. Chi n

co-author countries: United States of America ๐Ÿ‡บ๐Ÿ‡ธ
author keywords: Electronic health records; disease progression modeling; interpretability; representation learning
Source: Web Of Science
Added: July 26, 2021

2020 article

PRIME: Block-Wise Missingness Handling for Multi-modalities in Intelligent Tutoring Systems

MULTIMEDIA MODELING (MMM 2020), PT II, Vol. 11962, pp. 63โ€“75.

By: . Yangโ€‰ n, Y. Kim n, M. Taub*, R. Azevedo* & M. Chi n

co-author countries: United States of America ๐Ÿ‡บ๐Ÿ‡ธ
author keywords: Multimodal; Block-wise missing; Learning gain prediction
Source: Web Of Science
Added: February 22, 2021

2019 article

Hierarchical Reinforcement Learning for Pedagogical Policy Induction

ARTIFICIAL INTELLIGENCE IN EDUCATION (AIED 2019), PT I, Vol. 11625, pp. 544โ€“556.

co-author countries: United States of America ๐Ÿ‡บ๐Ÿ‡ธ
author keywords: Hierarchical Reinforcement Learning; Pedagogical policies
Sources: Web Of Science, ORCID
Added: December 2, 2019

2018 chapter

Empirically Evaluating the Effectiveness of POMDP vs. MDP Towards the Pedagogical Strategies Induction

In Lecture Notes in Computer Science (pp. 327โ€“331).

By: S. Shen n, B. Mostafavi n, C. Lynch n, T. Barnes n & M. Chi n

co-author countries: United States of America ๐Ÿ‡บ๐Ÿ‡ธ
author keywords: Reinforcement Learning; POMDP; MDP; ITS
Source: Crossref
Added: January 19, 2020

2018 article

Improving Learning & Reducing Time: A Constrained Action-Based Reinforcement Learning Approach

Improving Learning & Reducing Time: A Constrained Action-Based Reinforcement Learning Approach. PROCEEDINGS OF THE 26TH CONFERENCE ON USER MODELING, ADAPTATION AND PERSONALIZATION (UMAP'18), pp. 43โ€“51.

By: S. Shen n, M. Ausinโ€‰ n, B. Mostafavi n & M. Chi n

co-author countries: United States of America ๐Ÿ‡บ๐Ÿ‡ธ
author keywords: Constrained Reinforcement Learning; POMDP; Intelligent Tutoring System
Source: Web Of Science
Added: April 2, 2019

2017 chapter

A Comparisons of BKT, RNN and LSTM for Learning Gain Prediction

In Lecture Notes in Computer Science (pp. 536โ€“539).

By: C. Linโ€‰ n & M. Chi n

co-author countries: United States of America ๐Ÿ‡บ๐Ÿ‡ธ
author keywords: LSTM; RNN; BKT; Learning gain prediction
Source: Crossref
Added: February 24, 2020

2017 conference paper

A Comparisons of BKT, RNN and LSTM for Learning Gain Prediction

Artificial intelligence in education, aied 2017, 10331, 536โ€“539.

By: C. Lin & M. Chi

Source: NC State University Libraries
Added: August 6, 2018

2017 conference paper

LSTM for septic shock: Adding unreliable labels to reliable predictions

2017 IEEE International Conference on Big Data (Big Data), 1233โ€“1242.

co-author countries: United States of America ๐Ÿ‡บ๐Ÿ‡ธ
Source: NC State University Libraries
Added: August 6, 2018

2016 journal article

A comparison of two methods of active learning in physics: inventing a general solution versus compare and contrast

INSTRUCTIONAL SCIENCE, 44(2), 177โ€“195.

By: D. Chin*, M. Chi n & D. Schwartz*

co-author countries: United States of America ๐Ÿ‡บ๐Ÿ‡ธ
author keywords: Science education; Science instruction; Inventing; Compare and contrast; Contrasting cases
Source: Web Of Science
Added: August 6, 2018

2016 conference paper

An analysis of feature selection and reward function for model-based reinforcement learning

Intelligent tutoring systems, its 2016, 0684, 504โ€“505.

Source: NC State University Libraries
Added: August 6, 2018

2016 conference paper

Evolving augmented graph grammars for argument analysis

Proceedings of the 2016 Genetic and Evolutionary Computation Conference (GECCO'16 Companion), 65โ€“66.

By: C. Lynch n, L. Xue n & M. Chi n

co-author countries: United States of America ๐Ÿ‡บ๐Ÿ‡ธ
Source: NC State University Libraries
Added: August 6, 2018

2016 chapter

Intervention-BKT: Incorporating Instructional Interventions into Bayesian Knowledge Tracing

In Intelligent Tutoring Systems (pp. 208โ€“218).

By: C. Linโ€‰ n & M. Chi n

co-author countries: United States of America ๐Ÿ‡บ๐Ÿ‡ธ
author keywords: Knowledge tracing; Hidden Markov Model; Input Output Hidden Markov Model; Student modeling; Instructional intervention
Source: Crossref
Added: February 24, 2020

2016 conference paper

Intervention-BKT: Incorporating instructional interventions into Bayesian knowledge tracing

Intelligent tutoring systems, its 2016, 0684, 208โ€“218.

By: C. Lin & M. Chi

Source: NC State University Libraries
Added: August 6, 2018

2015 chapter

Data-Driven Worked Examples Improve Retention and Completion in a Logic Tutor

In Lecture Notes in Computer Science (pp. 726โ€“729).

By: B. Mostafavi n, G. Zhouโ€‰ n, C. Lynch n, M. Chi n & T. Barnes n

co-author countries: United States of America ๐Ÿ‡บ๐Ÿ‡ธ
author keywords: Worked examples; Data-driven; Problem-solving
Source: Crossref
Added: January 19, 2020

2015 conference paper

Data-driven worked examples improve retention and completion in a logic tutor

Artificial intelligence in education, aied 2015, 9112, 726โ€“729.

Source: NC State University Libraries
Added: August 6, 2018

2015 chapter

Detecting Opinion Spammer Groups Through Community Discovery and Sentiment Analysis

In Data and Applications Security and Privacy XXIX (pp. 170โ€“187).

co-author countries: United States of America ๐Ÿ‡บ๐Ÿ‡ธ
author keywords: Opinion spammer groups; Sentiment analysis; Community discovery
Source: Crossref
Added: February 24, 2020

2015 conference paper

Detecting opinion spammer groups through community discovery and sentiment analysis

Data and applications security and privacy xxix, 9149, 170โ€“187.

By: E. Choo, T. Yu & M. Chi

Source: NC State University Libraries
Added: August 6, 2018

2014 chapter

Can Diagrams Predict Essay Grades?

In Intelligent Tutoring Systems (pp. 260โ€“265).

By: C. Lynch*, K. Ashleyโ€‰* & M. Chi n

co-author countries: United States of America ๐Ÿ‡บ๐Ÿ‡ธ
Source: Crossref
Added: August 28, 2020

2014 chapter

When Is Tutorial Dialogue More Effective Than Step-Based Tutoring?

In Intelligent Tutoring Systems (pp. 210โ€“219).

By: M. Chi n, P. Jordan* & K. VanLehnโ€‰*

co-author countries: United States of America ๐Ÿ‡บ๐Ÿ‡ธ
Source: Crossref
Added: August 28, 2020

2014 conference paper

When is tutorial dialogue more effective than step-based tutoring?

Intelligent tutoring systems, its 2014, 8474, 210โ€“219.

By: M. Chi, P. Jordan & K. VanLehn

Source: NC State University Libraries
Added: August 6, 2018

2011 journal article

Empirically evaluating the application of reinforcement learning to the induction of effective and adaptive pedagogical strategies

User Modeling and User-Adapted Interaction, 21(1-2), 137โ€“180.

By: M. Chi*, K. VanLehnโ€‰*, D. Litmanโ€‰* & P. Jordan*

co-author countries: United States of America ๐Ÿ‡บ๐Ÿ‡ธ
author keywords: Reinforcement learning; Pedagogical strategy; Machine learning; Human learning
Source: Crossref
Added: August 28, 2020

2010 chapter

Do Micro-Level Tutorial Decisions Matter: Applying Reinforcement Learning to Induce Pedagogical Tutorial Tactics

In Intelligent Tutoring Systems (pp. 224โ€“234).

co-author countries: United States of America ๐Ÿ‡บ๐Ÿ‡ธ
Source: Crossref
Added: August 28, 2020

2010 chapter

Inducing Effective Pedagogical Strategies Using Learning Context Features

In User Modeling, Adaptation, and Personalization (pp. 147โ€“158).

By: M. Chi*, K. VanLehnโ€‰*, D. Litmanโ€‰* & P. Jordan*

co-author countries: United States of America ๐Ÿ‡บ๐Ÿ‡ธ
Source: Crossref
Added: August 28, 2020

2008 chapter

Eliminating the Gap between the High and Low Students through Meta-cognitive Strategy Instruction

In Intelligent Tutoring Systems (pp. 603โ€“613).

By: M. Chi* & K. VanLehnโ€‰*

co-author countries: United States of America ๐Ÿ‡บ๐Ÿ‡ธ
Source: Crossref
Added: August 28, 2020

2004 chapter

Implicit Versus Explicit Learning of Strategies in a Non-procedural Cognitive Skill

In Intelligent Tutoring Systems (pp. 521โ€“530).

By: K. VanLehnโ€‰*, D. Bhembe*, M. Chi*, C. Lynch*, K. Schulze*, R. Shelby*, L. Taylor*, D. Treacy*, A. Weinstein*, M. Wintersgill*

co-author countries: United States of America ๐Ÿ‡บ๐Ÿ‡ธ
Source: Crossref
Added: August 28, 2020

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