Andrew S. Lan

Andrew S. Lan

University of Massachusetts Amherst

H-index: 21

North America-United States

About Andrew S. Lan

Andrew S. Lan, With an exceptional h-index of 21 and a recent h-index of 21 (since 2020), a distinguished researcher at University of Massachusetts Amherst, specializes in the field of Personalized Learning, Machine Learning, Learning Analytics, Educational Data Mining.

His recent articles reflect a diverse array of research interests and contributions to the field:

Exploring Automated Distractor Generation for Math Multiple-choice Questions via Large Language Models

Improving the Validity of Automatically Generated Feedback via Reinforcement Learning

Improving Socratic Question Generation using Data Augmentation and Preference Optimization

Using Large Language Models for Student-Code Guided Test Case Generation in Computer Science Education

SmartPhone: Exploring Keyword Mnemonic with Auto-generated Verbal and Visual Cues

Algebra Error Classification with Large Language Models

Tree-Based Representation and Generation of Natural and Mathematical Language

DiFA: Differentiable Feature Acquisition

Andrew S. Lan Information

University

Position

___

Citations(all)

1971

Citations(since 2020)

1611

Cited By

712

hIndex(all)

21

hIndex(since 2020)

21

i10Index(all)

52

i10Index(since 2020)

46

Email

University Profile Page

Google Scholar

Andrew S. Lan Skills & Research Interests

Personalized Learning

Machine Learning

Learning Analytics

Educational Data Mining

Top articles of Andrew S. Lan

Exploring Automated Distractor Generation for Math Multiple-choice Questions via Large Language Models

arXiv preprint arXiv:2404.02124

2024/4/2

Improving the Validity of Automatically Generated Feedback via Reinforcement Learning

arXiv preprint arXiv:2403.01304

2024/3/2

Improving Socratic Question Generation using Data Augmentation and Preference Optimization

arXiv preprint arXiv:2403.00199

2024/3/1

Using Large Language Models for Student-Code Guided Test Case Generation in Computer Science Education

arXiv preprint arXiv:2402.07081

2024/2/11

SmartPhone: Exploring Keyword Mnemonic with Auto-generated Verbal and Visual Cues

2023/5/11

Algebra Error Classification with Large Language Models

2023/5/8

Tree-Based Representation and Generation of Natural and Mathematical Language

2023/2/15

DiFA: Differentiable Feature Acquisition

2023

Active Learning for a Classroom Observer who Can’t Time Travel

2023/9/10

Exploring Automated Distractor and Feedback Generation for Math Multiple-choice Questions via In-context Learning

arXiv preprint arXiv:2308.03234

2023/8/7

Intelligent Textbooks: The Fifth International Workshop

2023/6/30

Check for updates Smart Phone: Exploring Keyword SmartPhone: Mnemonic with Auto-generated Verbal and Visual Cues

Artificial Intelligence in Education: 24th International Conference, AIED 2023, Tokyo, Japan, July 3–7, 2023, Proceedings

2023/6/25

Improving Reading Comprehension Question Generation with Data Augmentation and Overgenerate-and-rank

2023/6/15

Interpretable Math Word Problem Solution Generation Via Step-by-step Planning

2023/6/1

Modeling and Analyzing Scorer Preferences in Short-Answer Math Questions

2023/6/1

Reticl: Sequential retrieval of in-context examples with reinforcement learning

arXiv preprint arXiv:2305.14502

2023/5/23

Balancing Test Accuracy and Security in Computerized Adaptive Testing

2023/5/18

A Conceptual Model for End-to-End Causal Discovery in Knowledge Tracing

2023/5/11

Situating AI (and big data) in the learning sciences: Moving toward large-scale learning sciences

2022/12/29

Multi-layer personalized federated learning for mitigating biases in student predictive analytics

arXiv preprint arXiv:2212.02985

2022/12/5

See List of Professors in Andrew S. Lan University(University of Massachusetts Amherst)