Jinnie Shin

Assistant Professor

University of Florida

United States

Research Interests

Explore related searches

Professors in United States

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Jinnie Shin is an Assistant Professor at the University of Florida in the United States. Her research primarily focuses on educational technology, including computational measures of linguistic synchrony, teacher observation protocols, and the reliability of automated grading systems. She has contributed to various studies on learner engagement, predictive modeling, and the application of natural language processing in educational contexts.

Articles (15)

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Collaborators (7)

Okan Bulut

Associate Professor

University of Alberta

CANADA

View details

Zach A. Pardos

University of California

UNITED STATES

View details

Yizhu Gao

Assistant Professor

University of Georgia

UNITED STATES

View details

Cheryl Resch

University of Florida

UNITED STATES

View details

Renu Balyan

UNITED STATES

View details

Bowen Wang

University of Florida

UNITED STATES

View details

Julie Brown

Associate Professor, Science Education

University of Florida

UNITED STATES

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Jinnie Shin

Research Interests

Explore related searches

Contact this professor

About

Articles (15)

Development of an Observation Protocol for Teachers' Culturally and Linguistically Responsive Science Instruction

Systematic comparison of computational measures of linguistic synchrony in online educational environments

Investigating the effect of transformer encoder architecture to improve the reliability of classroom observation ratings on high-inference discourse

Evaluating the Consistency and Reliability of Attribution Methods in Automated Short Answer Grading (ASAG) Systems: Toward an Explainable Scoring System

Using learner engagement patterns for predictive modeling in a MicroMasters program

An engagement-aware predictive model to evaluate problem-solving performance from the study of adult skills' (PIAAC 2012) process data

What Is Interesting and Relevant About Cybersecurity?

Pedagogical discourse markers in online algebra learning: Unraveling instructor's communication using natural language processing

An Introduction to Bayesian Knowledge Tracing with pyBKT

Standing on the shoulders of giants: Online formative assessments as the foundation for predictive learning analytics models

Comparing Large‐Scale Assessments in Two Proctoring Modalities with Interactive Log Data Analysis

Learning Analytics and Computerized Formative Assessments: An Application of Dijkstra’s Shortest Path Algorithm for Personalized Test Scheduling

Analyzing students’ performance in computerized formative assessments to optimize teachers’ test administration decisions using deep learning frameworks

Building an intelligent recommendation system for personalized test scheduling in computerized assessments: A reinforcement learning approach

More efficient processes for creating automated essay scoring frameworks: A demonstration of two algorithms

Collaborators (7)

Okan Bulut

Zach A. Pardos

Yizhu Gao

Cheryl Resch

Renu Balyan

Bowen Wang

Julie Brown

Make your next move.